InfluxData Blog - Press Releases

InfluxData Announces General Availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, Simplifying How Developers Build with Time Series Data

Company (InfluxData) — Tue, 15 Apr 2025 05:00:00 +0000

InfluxDB 3 Core is an open source, high-speed, recent-data engine; InfluxDB 3 Enterprise adds performance, high availability, security, and scalability for mission-critical workloads

Built-in Python Processing Engine brings collection, transformation, monitoring, alerting, and automation on time series data

SAN FRANCISCO – April 15, 2025 – InfluxData, creator of the leading time series database, today announced the general availability of InfluxDB 3 Core and InfluxDB 3 Enterprise, the latest products developed on its redesigned InfluxDB 3 engine. Built for rapid development and large-scale production, Core and Enterprise provide a high-performance, easily scalable database for managing time series data. InfluxDB 3 Core is an open source, high-speed, recent-data engine for real-time applications. InfluxDB 3 Enterprise adds high availability, enhanced security, and scalability for production environments. Both bring data transformation, enrichment, and alerting directly into the database with a built-in Python Processing Engine, elevating InfluxDB from passive storage to an active intelligence engine for real-time data.

“Time series data never stops, and managing it at scale has always come with trade-offs—performance, complexity, or cost,” said Paul Dix, Founder and CTO of InfluxData. “We rebuilt InfluxDB 3 from the ground up to remove those trade-offs. Core is open source, fast, and deploys in seconds, while Enterprise easily scales for production. Whether you’re running at the edge, in the cloud, or somewhere in between, InfluxDB 3 makes working with time series data faster, easier, and far more efficient than ever.”

Time series data is always in motion, streaming from IoT devices, industrial sensors, financial systems, and cloud infrastructure in massive volumes that grow exponentially. Its velocity and resolution quickly overwhelm traditional databases and data historians, forcing teams to rely on complex, costly workarounds that impact performance. InfluxDB 3 Core and Enterprise remove these constraints with a modern, high-performance architecture built to handle real-time data streams at scale with efficiency and precision.

Built-in Intelligence in a Single-Node Engine

InfluxDB 3 Core is open source under the permissive MIT/Apache 2 license, giving developers a fast, flexible, and frictionless way to build on time series data without vendor lock-in or operational overhead. InfluxDB 3 Enterprise extends Core’s capabilities with enterprise-grade features for production workloads, including multi-region durability, read replicas, automatic failover, and enhanced security. Both products run in a lightweight, single-node setup for fast, easy deployment.

Powered by the new InfluxDB 3 engine written in Rust and built with Apache Arrow, DataFusion, Parquet, and Flight, Core and Enterprise deliver significant performance gains and architectural flexibility compared to previous open source versions of InfluxDB. A built-in Processing Engine allows developers to transform, enrich, monitor, and alert on data as it streams in, turning the database into an active intelligence layer that processes data in motion—not just at rest—and in real-time.

The result is the expansion of the InfluxDB 3 portfolio with two highly performant, scalable products that are easy to deploy and efficient to run. Both new products complement the existing InfluxDB 3 lineup, which is designed for large-scale, distributed workloads in dedicated cloud and Kubernetes environments and offers a fully managed, multi-tenant pay-as-you-go option.

InfluxDB 3 Core and Enterprise allow users to:

Make time series data instantly actionable with a built-in Processing Engine, enabling real-time transformation, enrichment, anomaly detection, and alerting, without external ETL pipelines.
Ingest millions of writes per second to capture high-resolution time series data without lags or slowdowns.
Query data in real-time with sub-10ms lookups for instant insights and faster decision-making.
Manage massive time series datasets with unlimited cardinality, ensuring peak performance on scaling workloads.

“InfluxDB has been essential to our operations and customers’ success over the past seven years,” said Poul H. Sørensen, Senior Systems Consultant at Orange Business. “The new InfluxDB 3 Enterprise aligns with our strategic goals, providing distributed monitoring with flexible storage solutions. It also gives us a future-proof foundation to accelerate ML/AI adoption and integration.”

InfluxDB 3 Core is now generally available as a free and open source download. InfluxDB 3 Enterprise is available for production deployments with flexible licensing options. Learn more at influxdata.com.

About InfluxData

InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com.

InfluxData and AWS Expand Strategic Offering with New Capabilities to Power Large-Scale Time Series Workloads

Company (InfluxData) — Wed, 19 Feb 2025 06:00:00 +0000

Amazon Timestream for InfluxDB expands offering with Read Replicas, delivering enterprise-grade scalability and reliability to time series workloads on AWS

SAN FRANCISCO – February 19, 2025, InfluxData, creator of the leading time series platform InfluxDB, today announced Amazon Timestream for InfluxDB Read Replicas, a new capability for improved query performance and high availability for enterprise-scale time series workloads on AWS. Read Replicas are the latest addition to InfluxData’s collaboration with AWS to deliver Amazon Timestream for InfluxDB, a managed offering announced last year for AWS developers to run open source InfluxDB natively on AWS without the overhead of self-management. Amazon Timestream for InfluxDB Read Replicas is now available for purchase in the AWS Management Console.

Designed for developers requiring high query throughput, Amazon Timestream for InfluxDB Read Replicas provides scalable query capacity, rapid failover, and uninterrupted access to critical time series data—without the complexity of cluster management. As real-time infrastructure monitoring and IoT/IIoT applications increasingly require constant, reliable data access, Read Replicas provide enterprise-grade resilience and performance tailored for small to medium-sized workloads, meeting the growing demand for seamless, always-on operations.

“Our collaboration with AWS makes InfluxDB accessible to developers globally, meeting the growing demand for time series data as a cornerstone of smarter, faster systems that not only respond but also anticipate and adapt,” said Evan Kaplan, CEO of InfluxData. “With the availability of Read Replicas, we’re addressing the critical challenges enterprises face as they scale these workloads. By removing the need for self-management and complex configurations, Read Replicas provide high performance and reliability, allowing developers to scale their mission-critical workloads.”

“AWS customers use time series data to understand changes, patterns, and trends in their systems, and we’re excited to extend our partnership with InfluxData,” said Brad Bebee, Director, Amazon Neptune & Timestream, AWS. “With Amazon Timestream for InfluxDB Read Replicas, customers can scale query throughput and improve the availability of their InfluxDB open source deployments using an AWS managed database service.”

As organizations increasingly rely on real-time data to drive operations, ensuring the resilience of time series data has become mission-critical for developers handling high-volume workloads. Amazon Timestream for InfluxDB Read Replicas meets these demands with the following capabilities:

Automatic, Rapid Failover: Ensures continuous operation and data accessibility across availability zones, even during unexpected outages.
Enhanced Read Capacity: Offloads high-volume queries to read replicas, allowing primary instances to operate at peak efficiency for write-heavy operations.
Improved Write Performance: Offloads query traffic to read replicas, allowing primary writers to focus on high-speed data ingestion. In the event of a failover, read replicas seamlessly assume the workload, maintaining optimal performance and continuous operation.

Amazon Timestream for InfluxDB Read Replicas is now generally available for InfluxDB 2.x OSS and will launch in 19 AWS regions later this month. For the full list of regions and more details, visit the AWS Management Console or visit our blog post to get started.

About InfluxData

InfluxData Appoints Pat Walsh as Chief Marketing Officer

Company (InfluxData) — Tue, 07 Jan 2025 06:00:00 +0000

Walsh joins InfluxData to extend industry leadership, accelerate adoption of InfluxDB 3, and grow developer community

SAN FRANCISCO – January 7, 2025, InfluxData, creator of the leading time series platform InfluxDB, today announced the appointment of Pat Walsh as Chief Marketing Officer (CMO). Walsh brings extensive expertise in open source innovation, product management, and go-to-market execution, along with a proven track record of scaling businesses and building strong developer communities.

“Real-time systems are reshaping industries, and managing time series data with precision and scale has never been more critical,” said Evan Kaplan, CEO of InfluxData. “InfluxDB sits at the center of this opportunity, empowering developers to turn the relentless stream of data into innovation. Bringing Pat on board at this key moment for InfluxData ensures we have the leadership to scale our business, strengthen our developer communities, and continue to drive market leadership in this fast-growing space.”

Walsh joins InfluxData from Privitar (acquired by Informatica), where he was CMO, leading global go-to-market strategy, including demand generation, product marketing, strategic communications, and branding. Before that, Pat was CMO at Tufin, where he oversaw all marketing activities and guided the company through its successful IPO in 2019. He also held key marketing and product leadership roles at Core Security (acquired by Courion) and Talend (acquired by Qlik), where he was instrumental in scaling the company’s data management platform.

At InfluxData, Walsh will spearhead the rollout of InfluxDB 3, a major leap forward in time series database technology. Developed to address the most complex time series data challenges, InfluxDB 3 sets a new standard for performance, offering unlimited cardinality, high-speed ingest, real-time querying, and advanced data compression to drive significant cost savings—all within a single datastore to power the most demanding workloads with speed and precision.

“InfluxData is at a pivotal moment, redefining what’s possible with time series data,” said Walsh. “I’m excited to join InfluxData, a true category leader built on engineering excellence in solving time series challenges. The potential for InfluxDB 3 is immense, and we’re just beginning to unlock its impact across the market.”

About InfluxData

Siemens Energy Standardizes Predictive Maintenance Operations on InfluxDB

Company (InfluxData) — Thu, 26 Sep 2024 08:00:00 +0000

Global energy leader scales and optimizes real-time data operations with InfluxData’s self-managed database

SAN FRANCISCO – September 26, 2024 – InfluxData, creator of the leading time series database InfluxDB, today announced that Siemens Energy, a global leader in sustainable energy solutions, is using InfluxDB to optimize data collection and analysis across its energy storage operations. Siemens Energy uses InfluxDB for predictive maintenance on its automated battery and marine production lines, allowing the company to gather high-frequency, high-resolution sensor data in real-time to power advanced monitoring and control systems.

“Siemens Energy had long used InfluxDB open source, but as we scaled, we needed a platform capable of handling the complexity, security, and real-time demands of our expanding operations,” said Jan Petersen, Senior Manufacturing Engineer at Siemens Energy. “Moving to commercial InfluxDB was a strategic move to unify our data infrastructure, ensuring we have the reliability, scalability, and real-time performance to keep pace with production needs. InfluxDB delivers real-time visibility across teams and different projects, enabling faster decision-making and proactive maintenance to drive operational efficiency.”

Siemens Energy’s automated factory, which produces battery modules that power marine vessels and electric ferries, relies on InfluxDB to manage high-cardinality sensor data generated across production lines and customer sites. InfluxDB captures essential metrics—such as performance data and test results—ensuring consistent battery quality and reliability throughout the manufacturing process. While InfluxDB open source supported its initial operations, it couldn’t meet the growing demands for scalability and real-time performance as Siemens Energy’s workloads grew.

Since migrating to commercial InfluxDB, Siemens Energy significantly scaled its data operations, managing 700 high-volume write requests and 800 real-time queries per minute across research and development labs and production cells. The platform processes critical data from nearly 23,000 battery modules deployed at more than 70 locations globally. Each battery module generates over 100 unique sensor measurements every minute, with data transferred in bulk due to intermittent internet connectivity on these vessels. With InfluxDB’s ability to ingest and analyze billions of time series data points at high speed, Siemens Energy can optimize production workflows and maintain operational excellence, even in challenging remote conditions.

“Siemens Energy is setting new standards in industrial automation, and InfluxDB plays a critical role in the foundation of these systems,” said Dean Sheehan, EMEA Field Chief Technology Officer at InfluxData. “By harnessing time series data for predictive maintenance, Siemens Energy can anticipate and resolve challenges before they arise, ensuring smooth, uninterrupted performance across global operations. With InfluxDB providing real-time monitoring and control, Siemens Energy can focus on innovation, ensuring seamless operations in its push toward sustainability.”

Last year, InfluxData rebuilt the core of its database to deliver InfluxDB 3, which brings significant gains in performance, including unlimited cardinality, high-speed ingest, and real-time querying to time series workloads. InfluxDB 3 gives developers an operational platform to manage high-resolution datasets without performance degradation, keeping systems responsive even when handling high-cardinality data. InfluxDB 3 is available to enterprises in InfluxDB Cloud Dedicated, a fully-managed, single-tenant time series database-as-a-service, as well as InfluxDB Clustered, a self-managed product for on-premises or private cloud deployments.

For more information on using InfluxDB 3 to power industrial operations, visit the InfluxData website.

About Siemens Energy

Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy systems for the future, thus supporting the transition to a more sustainable world. With its portfolio of products, solutions, and services, Siemens Energy covers almost the entire energy value chain—from power and heat generation and transmission to storage. The portfolio includes conventional and renewable energy technology, such as gas and steam turbines, hybrid power plants operated with hydrogen, and power generators and transformers. Its wind power subsidiary Siemens Gamesa makes Siemens Energy a global market leader for renewable energies. An estimated one-sixth of the electricity generated worldwide is based on technologies from Siemens Energy. Siemens Energy employs around 99,000 people worldwide in more than 90 countries and generated revenue of €31 billion in fiscal year 2023. www.siemens-energy.com

About InfluxData

InfluxData Brings Higher Performance and New Features to InfluxDB 3 to Power Massive Time Series Workloads at Scale

Company (InfluxData) — Wed, 04 Sep 2024 06:00:00 +0000

New capabilities, including faster query performance and management tooling, advance the InfluxDB 3 product line

InfluxDB Clustered general availability gives developers the power of InfluxDB 3 for the self-managed stack

SAN FRANCISCO – September 4, 2024 – InfluxData, creator of the leading time series platform InfluxDB, today announced new capabilities in the InfluxDB 3 product suite that simplify time series data management at scale. InfluxData also announced the general availability of InfluxDB Clustered, its self-managed time series database for on-premises or private cloud deployments. The rebuilt InfluxDB 3 core delivers high performance, including unlimited cardinality, high-speed ingest, real-time querying, and superior data compression through native object storage to power high-cardinality use cases, including observability, real-time analytics, and IoT/IIoT.

“Intelligent, real-time systems require an operational database capable of managing high-speed, high-resolution workloads,” said Evan Kaplan, CEO of InfluxData. “InfluxDB 3 is engineered to meet this challenge head-on with industry-leading ingest performance, unlimited data cardinality, and exceptionally low latency querying, giving architects and developers tools to build real-time monitoring and control systems.”

Since its release last year, InfluxData has introduced significant performance improvements to InfluxDB 3 for developers to more effectively analyze time series data across systems as data volumes grow. As workloads expand, the need for sophisticated, high-performing systems that support real-time, high-resolution data retrieval and analysis becomes increasingly critical. With new performance improvements in query concurrency, scaling, and latency, InfluxDB 3 easily manages large datasets without performance degradation, keeping systems responsive even with high-cardinality data. Combined with existing capabilities such as fast ingestion and leading-edge query performance, developers can now analyze more data at higher speeds without compromising efficiency.

Additional InfluxDB 3 capabilities announced today in InfluxDB Cloud Dedicated and InfluxDB Clustered help developers more easily manage large-scale time series workloads:

New Features in InfluxDB Cloud Dedicated: InfluxDB Cloud Dedicated, InfluxData’s fully managed time series database-as-a-service for enterprise-grade workloads, introduces several powerful enhancements. A new operational dashboard now provides comprehensive visual insights into the performance and health of dedicated clusters, enabling developers to detect unintended workload changes, identify potential bottlenecks, and optimize cluster performance. Single sign-on (SSO) integration allows seamless access to clusters using existing credentials, streamlining the login process. New APIs for management & Token management have been added, allowing customers to automate administrative tasks such as managing users, databases, and tokens within their InfluxDB Cloud Dedicated cluster.
InfluxDB Clustered Now Generally Available: InfluxDB Clustered, InfluxData’s 3 product for on-premises and private cloud environments, is now generally available. Deployed on Kubernetes, it features decoupled, independently scalable ingest and query tiers, providing high availability and exceptional scalability. By separating compute from storage, developers can precisely scale, ingest, and query components independently of their storage requirements. With this GA release, customers gain access to all of the latest performance improvements made in the InfluxDB 3 core. They also get the option to utilize InfluxData’s new Helm Chart deployment method for developers using Helm for the deployments.

InfluxDB 3 customers run massive time series workloads at a lower cost:

“We rely on InfluxDB Clustered as the foundation of our customer usage monitoring solution, processing millions of time series data points collected across more than 40 distinct products and services,” said Arun Kesavan, Principal Engineer at Verint. “By deploying InfluxDB Clustered on Kubernetes, we gain the flexibility to effortlessly scale our systems in response to growing data workloads during peak usage. This allows us to analyze high-cardinality data in real-time at a significantly reduced cost, providing our team with critical insights faster than ever before.”

“Joby Aviation is pioneering the future of air transportation, where every flight generates massive amounts of time series data from hundreds of sources monitoring thousands of variables,” said Kevin Carosso, Software Engineering Lead at Joby Aviation. “The high performance of InfluxDB Clustered enables us to ingest this data immediately upon landing, compress it efficiently, and meet our data retention requirements while keeping storage costs down.”

“ju:niz Energy is leading Germany’s decentralized energy transformation, where real-time and historical data drive renewable energy production, storage, and conversion,” said Ricardo Kissinger, Head of IT Infrastructure and IT Security at ju:niz Energy. “Our edge systems generate high-resolution data from tens of thousands of sensors from our batteries and other plant devices, making cloud storage previously cost-prohibitive. With InfluxDB Cloud Dedicated, we’ve eliminated that challenge—ingesting 100 times more data per second and compressing it with remarkable efficiency, allowing us to significantly scale our data storage and analysis while dramatically reducing storage costs.”

The InfluxDB 3 commercial products are now generally available. To start leveraging the power of InfluxDB Clustered or InfluxDB Cloud Dedicated, contact InfluxData sales today.

About InfluxData

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World

Company (InfluxData) — Thu, 14 Mar 2024 12:00:00 +0000

InfluxDB open source now offered as a managed service for time series data powered by AWS, accessible within the AWS Management Console

SAN FRANCISCO – March 14, 2024 – InfluxData, creator of the leading time series platform InfluxDB, today announced a collaboration with Amazon Web Services (AWS) to deliver Amazon Timestream for InfluxDB, a new managed offering for AWS customers to run InfluxDB open source natively within the AWS Management Console. Now generally available, Amazon Timestream for InfluxDB allows users to quickly build and run time series applications on managed infrastructure with AWS’s scalability, reliability, and security without the overhead of self-management.

Time series databases are a fundamental component of the modern data stack. By analyzing millions of time series data points per second, time series databases help detect failures, improve reliability, predict behavior for information technology (IT) monitoring and Internet of Things and Industrial Internet of Things (IoT/IIoT) processes, and enable real-time analytics. Making InfluxDB a preferred AWS time series database signifies InfluxData’s category leadership and the high-growth market for time series databases to power real-time analytics and artificial intelligence (AI) training models. By working with InfluxData, AWS developers now have a simple way to manage and derive value from time series data within the AWS Management Console.

“InfluxData is deeply committed to open source—both building an open, permissively licensed product and making it accessible to as many developers as possible through simple and logical entry points and wide availability,” said Evan Kaplan, CEO of InfluxData. “The cloud is now the modern way to build, run, and distribute open source solutions. Working with AWS gives us the broadest reach to developers from every industry, market, and region so they can get started using time series and InfluxDB quickly and easily.”

“We’re delighted to offer a managed service for InfluxDB. With Amazon Timestream for InfluxDB, now customers with stringent latency requirements for their time-series applications can benefit from open-source APIs and the ease-of-use that our customers enjoy with managed database services on AWS, reduced operational burden, and enhanced reliability for their InfluxDB workloads,” said Jeff Carter, Vice President of Databases and Migration Services at AWS. “Our work with InfluxData brings one of the most popular open-source time-series databases as a managed service for AWS customers.”

With Amazon Timestream for InfluxDB, customers can start using a single-instance open source version of InfluxDB immediately by creating a managed instance automatically configured for optimal performance and availability. There are no upfront costs, licenses, or commitments required, and customers only pay for the resources they use.

The initial Amazon Timestream for InfluxDB offering is based on InfluxDB OSS 2.x, making it ideal for open source users with workloads that only require a single-node instance. Through the console, customers can opt into additional performance and scalability capabilities. This includes high availability with multiple AWS Availability Zones (multi-AZ) for synchronous data replication and backup across AZs in as little as 60 seconds with zero data loss. It also includes encryption-in-transit and at-rest with the AWS Key Management Service (AWS KMS) and a configurable network using Amazon Virtual Private Cloud (Amazon VPC).

Customers using InfluxDB OSS 2.x can get started with the AWS managed service by using the AWS Management Console, CLI, CDK, or AWS CloudFormation to create a new InfluxDB database instance. Once created, customers can use the InfluxDB APIs to restore backups from self-managed database instances. For more information about Amazon Timestream for InfluxDB, see our blog post or visit the AWS Management Console to get started.

In the future, Amazon Timestream for InfluxDB will expand to offer additional InfluxDB versions, including the new InfluxDB 3.0 product line via InfluxDB Community, currently in development. AWS and InfluxData will also collaborate to offer AWS customers additional modules specific to the 3.0 product offering. This includes a Scale Module for distributed querying from multiple instances and a Security Module for fine-grained permissions, single sign-on, and audit logging.

“Our IoT-connected solar home systems help power the world’s most remote areas through time series data analysis with InfluxDB,” said Christopher Baker-Brian, Co-founder & CTO at Bboxx. “With the majority of our stack built on AWS, Amazon Timestream for InfluxDB makes time series analytics even more accessible, allowing us to deliver energy to more people—beyond the millions already in network.”

“InfluxData puts the developer first in everything they do, ensuring they have the tools they need to manage and scale time series workloads in any environment,” said Jorge de la Cruz, Senior Product Manager at Veeam Software. “Amazon Timestream for InfluxDB gives open source developers a simple path to capture the value of time series data without the burden of self-managing. Combining InfluxData’s commitment to meeting developers where they are with the unmatched accessibility of AWS makes managing time series data easy to set up, operate, and scale.”

Developers who want to experience the benefits of InfluxDB 3.0 and AWS can get started with InfluxDB Cloud Serverless, which runs on AWS and delivers a fully managed, elastic database running on multi-tenant cloud infrastructure. InfluxDB Cloud Dedicated also runs on AWS and provides users with dedicated, fully-managed cloud infrastructure optimized for large-scale workloads with added enterprise-grade security features. Both InfluxDB Cloud Dedicated and Serverless are part of the InfluxDB 3.0 product suite and include the latest capabilities for real-time analytics, support for SQL, and unlimited cardinality data, resulting in significant performance improvements. InfluxDB 3.0 is available for purchase directly from InfluxData.

About InfluxData

InfluxData Announces InfluxDB Clustered to Deliver Time Series Analytics for On-Premises and Private Cloud Deployments

Company (InfluxData) — Wed, 06 Sep 2023 05:30:00 +0000

InfluxDB Clustered completes InfluxDB 3.0 commercial product line as successor to the hugely popular InfluxDB Enterprise product

SAN FRANCISCO – September 6, 2023 – InfluxData, creator of the leading time series platform InfluxDB, today announced InfluxDB Clustered, its self-managed time series database for on-premises or private cloud deployments. With the release of InfluxDB Clustered, InfluxData completes its commercial product line developed on InfluxDB 3.0, its rebuilt database engine optimized for real-time analytics with higher performance, unlimited cardinality, and SQL support.

InfluxDB Clustered is the evolution of InfluxDB Enterprise, InfluxData’s long-standing enterprise software product for on-premises and private cloud environments. Now with the release of InfluxDB Clustered, those same customers gain all the capabilities of the reimagined InfluxDB 3.0, but now specifically packaged and configured for their own unique hosting environments and data storage requirements. Deployed natively in Kubernetes, InfluxDB Clustered combines the scale and flexibility of the cloud with the security and control of a self-managed infrastructure.

“This release brings InfluxDB 3.0’s fundamental tenets of performance – unlimited cardinality, high-speed ingest, real-time querying, and superior data compression – to customers deploying their own custom infrastructure,” said Rick Spencer, VP of Products, InfluxData. “With InfluxDB Clustered we complete our 3.0 product portfolio and deliver on our promise to customers, bringing the flexibility of the cloud and the power of InfluxDB 3.0 together for the self-managed stack.”

“InfluxDB 3.0 introduced a columnar storage engine, which is intended to ease cardinality limitations and broaden the database’s ecosystem via SQL support and Apache Arrow integrations,” said Rachel Stephens, Senior Analyst, RedMonk. “With InfluxDB 3.0 now available in InfluxDB Clustered, enterprise customers of InfluxData will be able to access these new features and widen the use cases for time series databases in their self-managed environments.”

Like the rest of the InfluxDB 3.0 product suite, InfluxDB Clustered delivers significant improvements over its predecessor, InfluxDB Enterprise, in the following ways:

100x faster queries on high-cardinality data with powerful analytics performance that independently scales ingest and query.
45x faster data ingest enables real-time analytics on leading-edge data.
90 percent reduction in storage costs enabled by low-cost object store and separation of compute and storage combined with best-in-category data compression.
Enterprise-grade security and compliance with encryption of data in transit and at rest with private networking options, single sign-on (SSO), attribute-based access control (ABAC), and support for fully air-gapped deployments.

“We rely on InfluxDB to manage hundreds of billions of metrics across our research facilities. InfluxDB 3.0 will allow us to ingest and analyze this high-cardinality data in real-time at a fraction of the cost,” said Gianpietro Previtali, System Administrator, European XFEL. “InfluxDB 3.0 is a truly bold release from InfluxData, with new columnar architecture and the benefits of separating compute and storage for performant, real-time queries across leading-edge data.”

“At Vertical Aerospace, we’re pioneering electric aviation, which requires real-time analysis of highly distributed time series data. InfluxDB 3.0 helps us manage this data with nearly infinite storage capacity and much lower TCO,” said Tom Makin, Software Engineering Manager, Vertical Aerospace. “InfluxDB 3.0 leverages Apache Arrow to efficiently process high-cardinality data from ingestion to compaction to querying. It allows our team to uncover mission-critical insights across operations in real-time.”

With high availability and unprecedented scalability, InfluxDB Clustered gives enterprises the power of the industry’s leading time series database with the security, compliance, and control of a self-managed service. InfluxData also recently announced the availability of InfluxDB Cloud Dedicated, a fully managed and scalable single-tenant InfluxDB cluster based on the InfluxDB 3.0 architecture and intended for large-scale time series workloads. Together, InfluxDB Cloud Dedicated and InfluxDB Clustered give enterprises multiple options in how they manage and scale time series workloads, whether in the cloud, in their own environment, or in combination for hybrid environments.

Visit the InfluxData website to learn more about InfluxDB Clustered.

About InfluxData

InfluxData Unveils Future of Time Series Analytics with InfluxDB 3.0 Product Suite

Company (InfluxData) — Wed, 26 Apr 2023 06:30:00 +0000

Open source project InfluxDB IOx becomes InfluxDB 3.0, the next-generation time series database powering all InfluxDB products

InfluxDB Cloud Dedicated added to suite of enterprise-grade cloud services

SAN FRANCISCO – April 26, 2023 – InfluxData, creator of the leading time series platform InfluxDB, today announced expanded time series capabilities across its product portfolio with the release of InfluxDB 3.0, its rebuilt database and storage engine for time series analytics. InfluxDB 3.0 is available today in InfluxData’s cloud products, including InfluxDB Cloud Dedicated, a new product for developers that delivers the performance, power, and flexibility of InfluxDB with the security of a fully managed service. InfluxData also announced InfluxDB 3.0 Clustered and InfluxDB 3.0 Edge to give developers next-gen time series capabilities in a self-managed database.

Developed as the open source project InfluxDB IOx, InfluxDB 3.0 now serves as the foundation for all InfluxDB products, both current and future, delivering significant gains in performance, high-volume ingestion and compression, real-time querying, and unlimited scale to the database. Built in Rust, a modern programming language designed for performance, safety, and memory management, InfluxDB 3.0 gives developers unprecedented scale and performance, supporting the full range of time series data, including metrics, events, and traces. Together, these enhancements raise the bar for time series analytics to power new use cases that rely on high-cardinality time series data for observability, real-time analytics, and IoT/IIoT.

“InfluxDB 3.0 is a major milestone for InfluxData, developed with cutting-edge technologies focused on scale and performance to deliver the future of time series,” said Evan Kaplan, CEO, InfluxData. “Built on Apache Arrow, the most important ecosystem in data management, InfluxDB 3.0 delivers on our vision to analyze metric, event, and trace data in a single datastore with unlimited cardinality. InfluxDB 3.0 stands as a massive leap forward for both time series and real-time analytics, providing unparalleled speed and infinite scalability to large data sets for the first time.”

“Organizations increasingly rely on real-time data analytics, which drives demand for tools capable of handling time series data,” said Rachel Stephens, Senior Analyst with RedMonk. “Marketwide, it is increasingly important to consider the developer experience of working with the database. With InfluxDB 3.0, InfluxData is addressing this with its columnar engine designed to remove limits on cardinality, SQL support, and integration into the Apache Arrow ecosystem. These updates widen the practical use cases and ecosystem for time series workloads.”

Rebuilt as a columnar database, InfluxDB 3.0 leverages the scale and performance of the Apache Arrow data structure to deliver real-time query response on leading-edge data. Customers can upgrade to InfluxDB 3.0 from 1.x and 2.x and run existing workloads faster and at a lower cost with minimal key changes, experiencing the following key benefits:

Real-time query response: Columnar datastore built for scale and performance delivers 100x faster queries against high cardinality data for faster insights.
Unlimited cardinality and high throughput: 10x ingest performance to continuously ingest, transform, and analyze billions of time series data points per second without limitations or caps.
Low-cost object store: High compression reduces data storage costs to enable 10x more storage without sacrificing performance.
SQL language support: Analyze data using SQL, the most popular data programming language, or unlock deeper time series analysis with InfluxQL’s time-based functions.

InfluxDB 3.0 is available today in InfluxData’s cloud products:

InfluxDB Cloud Serverless: Currently available as an elastic, serverless, fully managed time series database as a service running in the cloud.
InfluxDB Cloud Dedicated: Available today as a fully managed time series database-as-a-service, running on cloud infrastructure resources dedicated to a single tenant, optimized for large-scale workloads.

InfluxDB 3.0 will be available in the following products later this year:

InfluxDB 3.0 Clustered: A self-managed time series database cluster delivered as software for on-premises or private cloud deployment.
InfluxDB 3.0 Edge: A self-managed time series database single node delivered as software for local or edge deployment.

InfluxData also announced the general availability of InfluxDB Cloud Dedicated, its latest cloud product based on InfluxDB 3.0 intended for large-scale time series workloads. With this launch, InfluxData expands the capabilities of its InfluxDB Cloud service, making it available on cloud infrastructure that is dedicated to a particular customer or workload. Now developers and enterprises alike have multiple options to run large-scale time series workloads in the cloud using InfluxDB, with multiple options for cloud providers, delivery methods, and pricing models.

“Skylab provides AI-driven photo and video editing services, a process that involves high volume cardinality data,” said Alireza Shafaei, CTO, Skylab Technologies. “InfluxDB was already a critical part of our infrastructure by analyzing large volumes of time series data in real-time. The introduction of InfluxDB 3.0 enables us to scale our processes even further by allowing us to ingest and act on all of our high-resolution and high-cardinality data without downsampling or dropping dimensions. ”

“The ArchFX Platform enables manufacturers to collect complex data, including high density and high fidelity time series data, from both modern and legacy factory machines,” said Tim Burke, co-founder and CTO, Arch Systems. “Unbounded cardinality and SQL support in InfluxDB 3.0 will allow our full team to analyze manufacturing data on any dimension and uncover actionable insights at an impressive scale.”

InfluxDB Cloud Dedicated is available today. Visit the InfluxData website to learn more.

About InfluxData

InfluxData is the creator of InfluxDB, the leading time series platform. More than 1,900 customers use InfluxDB to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com.

InfluxData Achieves ISO 27001 Certification

Company (InfluxData) — Tue, 21 Mar 2023 07:00:00 +0000

SAN FRANCISCO – March 21, 2023 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has received the ISO/IEC 27001:2013 certification, a globally recognized standard for Information Security Management Systems (ISMS). The certificate scope comprises the ISMS supporting the operations underlying the InfluxDB database cloud and enterprise offerings. It also includes ISO/IEC 27018:2019 compliance for the protection of personally identifiable information.

“InfluxData strives to give developers the best experience possible, and that requires the highest standard of information security program assurance,” said Peter Albert, CISO at InfluxData. “Achieving ISO 27001 certification is further validation of our commitment to industry-recognized IT security and privacy protection.”

ISO 27001 is an international compliance standard designed by the International Standards Organization (ISO) outlining best practices for information security and privacy. Compliance with ISO 27001 demonstrates InfluxData’s global commitment to comprehensive organizational security and risk management. Following an extensive audit process, the certification was issued by Coalfire, a certification body for management systems accredited through the ANSI National Accreditation Board (ANAB) and the United Kingdom Accreditation Service (UKAS).

InfluxData also maintains active SOC 2 Type I and Type II compliance programs. For more information on InfluxData’s security certifications, visit the InfluxData website.

About InfluxData