InfluxDB for Cloud Applications
The cloud applications solution using InfluxDB provides developers with a platform for fast and easy time series data collection and analysis.
#1
Time Series Database
Source: DB Engines
1B+
Downloads of InfluxDB
Take the complexity out of time series data management
Try InfluxDBTurn high-volume, high-velocity, high-resolution time series data into actionable intelligence without sacrificing performance.
Get high-speed ingestion, real-time querying, and seamless scalability in a highly performant time series database that can handle unlimited volumes of time series data, even as data complexity and cardinality increases.
Run InfluxDB at scale in any environment in the cloud, on-premises, or at the edge. InfluxDB consists of the core database and storage engine, an API, and an ecosystem of tools and integrations to manage time-stamped data. Easily integrate with 5K+ prebuilt connections using Telegraf, our open source agent with 5B+ downloads.
Run InfluxDB 3 where you need it
Start for free, scale in seconds
Start NowFor small workloads and getting started
Deploy anywhere: on-prem, private cloud, edge, or multi-tenant cloud.
Secure, dedicated cloud infrastructure
Run a Proof of ConceptFor scaled workloads
Fully-managed, single-tenant service with unlimited scale, high availability, secure private connections, and enhanced Support.
Own your data with enterprise features
Run a Proof of ConceptFor scaled workloads
Control your infrastructure with unlimited scale, high availability, enterprise-grade security, and enhanced Support. On-prem, private cloud, and edge deployment.
Why InfluxDB
Limitless data collection
Ingest and analyze millions of time series data points per second without limits or caps.
Predict and prevent
Maximize uptime and prevent costly failures with real-time monitoring and preventative insights.
Real-time query
Data is immediately available for querying in InfluxDB, enabling real-time SQL queries and lightning-fast responses.
Why a purpose-built time series database?
Time-stamped data is ingested, collected, and transformed by developers to trigger workflows or alerts. The data includes measurements or events that are tracked, monitored, downsampled, and aggregated over time.
Why InfluxDB for cloud applications?
Cloud applications are software solutions whose users primarily access the tools through the web or an API. It is often a SaaS app that is designed, built, deployed, and scaled in the cloud. InfluxDB, the purpose-built time series data platform, is supported on AWS, Azure, and GCP.
Cloud apps often have local components that are primarily managed in the cloud. Metrics from local components (e.g., sensors or devices) can be processed using InfluxDB Edge Data Replication.
It can be more efficient to build, deploy, scale, and manage apps in the cloud. It is also easier to integrate with the most popular DevOps, security, and visualization tools.
Configuration and maintenance is less of a hassle with cloud applications vs. deploying on-premises—less time is spent maintaining infrastructure, platforms, and software.
A SaaS app can reduce upfront costs by eliminating the need to permanently purchase software or invest in a robust on-premises IT infrastructure.
Using the power of cloud computing and tools such as InfluxDB, you can easily find insights and correlations in your SaaS app—even across your entire SaaS app portfolio if your organization has multiple apps.
Related resources for developers
InfluxDB Integrations
Free InfluxDB training
“InfluxDB has a very awesome stack, which gave us everything we needed when constructing the system.”
Allison WangSoftware Engineer, Robinhood
Open data standards drive performance and interoperability
InfluxDB 3 is built in Rust and the FDAP stack—Flight, DataFusion, Arrow, and Parquet—leveraging Apache-backed technologies to efficiently ingest, store, and analyze time series data at any scale.
Get InfluxDBF
Flight for efficient columnar data transfer

D
DataFusion for high-performance querying
A
Arrow for optimized in-memory columnar analytics

P
Parquet for high-compression storage
InfluxDB’s columnar database supports time series data at a lower TCO
See ways to get started
Loved by developers, trusted by enterprises
65M+
daly events processed
45x
more resource efficient
Siemens Energy
“[We] long used InfluxDB open source... 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... and proactive maintenance.”
Jan Petersen
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500M+
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Mission-critical monitoring
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LOFT ORBITAL
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"InfluxDB is a high-speed read and write database. The data is written in real-time, you can read it in real-time, and while reading, you can apply your machine learning model. So, in real-time, you can forecast and detect anomalies."
Rajeev Tomer
Sr. Manager of Data Engineering
50%
lower total cost of ownership
100K
real-time metrics with simplified deployment
TERÉGA
Teréga Replaced Its Legacy Data Historian with InfluxDB
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65M+
daly events processed
45x
more resource efficient
WIDEOPENWEST
"I was blown away with how easy it was to install and configure InfluxDB. The clustering was easy. The documentation was great, and the support has been second to none."
Dylan Shorter
Engineer III, Software and Product Integration Engineering
45%
Less equipment downtime
10%
Reduced waste
MAJIK SYSTEMS
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Engineer III, Software and Product Integration Engineering
65M+
daly events processed
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more resource efficient
JU:NIZ ENERGY
“With InfluxDB Cloud Dedicated, the great thing is that we don't need to think about data storage costs or usage anymore because data storage gets way cheaper.”
Ricardo Kissinger
Head of IT Infrastructure and IT Security