SaaS Operational Monitoring
Use InfluxDB as the time series backend for building software-as-a-service applications to provide observability and real-time analytics for mission-critical applications and services that directly impact customers.
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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 Use InfluxDB?
Accelerate building mission-critical applications that have time series data at their core with InfluxDB. Collect metrics and events, as well as tracing data at scale across your customer environments, and build dashboards to provide real-time analytic observability and analysis to your external users. InfluxDB provides developer-friendly features, like schema on write and multiple query options with support for SQL and InfluxQL, that enable you to build awesome apps for your customers.
Observability
Monitor systems, applications, containers, microservices, and more to detect issues in real time before they affect users and create predictive models to optimize operations.
Energy
Collect production, usage, and other key information from local and edge devices to track output, create alerts, and more to deliver energy resources.
Fintech
Centralize data from decentralized financial data systems to gain real-time insights into infrastructure and apps supporting blockchain and other global currencies.
Related resources for developers
InfluxDB Integrations
Free InfluxDB training
“As our platform has grown, we found InfluxDB Cloud to be a really scalable solution. We can quickly iterate on new features and functionality.”
Alex NaudaCTO, Nobl9
Slash costs by adding InfluxDB
ETL is expensive. It can’t keep up with high-volume, high-velocity data. With zero-ETL query through Snowflake, InfluxDB is engineered to scale for relentless ingest, deliver real-time queries, and lower TCO.
Run a Proof of ConceptOpen 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.
F
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

















