InfluxDB 3.0:
Real-Time Analytics Platform
Real-time performance at scale
InfluxDB 3.0 platform is purpose-built for time series analytics at any scale. 3.0 delivers sub-second query responses for recent and live incoming data, making it optimal for any time series use cases that include real-time applications.
Cost-optimized storage
With separation of storage and compute layers, InfluxDB 3.0 enables cost efficiency of underlying resources. Data is persisted as Apache Parquet files, a popular columnar data file format known for very high compression on low-cost object stores such as Amazon S3—this helps reduce storage costs by 90% or more.
Open data access
InfluxDB 3.0's core architecture is built on open data sharing principles. Data is stored in InfluxDB 3.0 as Parquet files. A simple data catalog abstraction layer built with open data sharing specifications such as Iceberg / Delta Sharing allows direct access to Parquet files by data lake houses and/or data warehouses for analytics, Business Intelligence (BI), and Machine Learning (ML) workloads. This enables users to remove data siloes and plug time series data into their modern data stack without complex and expensive ETL pipelines and solutions.
Delivering performance and innovation with open standards
We built InfluxDB 3.0 using the FDAP stack, a group of open source, Apache-backed technologies. This architecture enables InfluxDB to deliver real-time performance at scale, cost-optimized storage, and access to an open data ecosystem:
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Whether you’re looking for cost savings or lower management overhead while maintaining high availability, InfluxDB can help.
Compare Ways to Get StartedEngineered for limitless scale and lower total cost of ownership
Real-time performance
+Purpose-built for time series data, InfluxDB unlocks real-time analytics by making data queryable upon ingestion. Whether a single node or a distributed system, InfluxDB delivers optimal performance at any scale.
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45x better write throughput
+InfluxDB lets you collect data from all your sources and store them in a single location. Write millions of data points every second with 45x better write throughput compared to previous versions. Compare Ways to Get Started
50% lower total cost of ownership at Teréga
+See how Teréga replaced its legacy system with InfluxDB to keep up with quickly growing ingest rates. The company replaced a costly data historian with a cloud-native one built on InfluxDB.
Unlock predictive maintenance
+See how ju:niz used InfluxDB to keep up with data needs when their legacy system just couldn’t keep up. The transition to renewable energy led ju:niz Energy to send data from all its edge locations to InfluxDB Cloud Dedicated.
Because we were based on InfluxDB and we had virtually no limit on the data we could ingest, we were able to collect the data more frequently.
Thomas Delquié
CTO, Teréga
InfluxDB runs where you need it
InfluxDB Cloud
Serverless
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Small workloads, trying InfluxDB
- Fully-managed service
- Multi-tenant
- Elastic scaling for storage and compute
- SQL support
- Pay for what you use
InfluxDB Cloud
Dedicated
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High availability, limitless scale
- Fully-managed service
- Single-tenant
- Custom tuning for storage and compute
- Secure, private connections
- Capacity-based pricing
InfluxDB
Clustered
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Limitless scale, on-prem and private cloud
- Self-managed service
- Deploy with Kubernetes
- Custom tuning for storage and compute
- Secure, private connections
- Enhanced support