InfluxDB for the Enterprise
Unlock real-time insights at scale
Run and scale secure, enterprise-grade workloads with lower total costs45x
Better write
throughput
90%
Reduction in
storage costs
100x
Faster queries for high
cardinality data
45x
Faster queries for
recent data
Compared to InfluxDB Open Source, see the Benchmarks Report
Turn improved Time to Awesome™ into revenue
Time to Awesome™ — Optimizing for developer happiness and productivityEliminate data silos and simplify data pipelines. Collect, analyze, and store all types of time series data – metrics, events, and traces – in a single data store.
InfluxDB supports SQL (and SQL-like InfluxQL) for data queries, reducing friction, and enabling rapid application development. Client libraries in multiple languages (Python, Go, C#, etc.) provide more flexibility.
InfluxDB uses multiple storage tiers to optimize query performance. The “hot” tier data consists of live and recently queried data to deliver real-time results.
Cardinality limits are a thing of the past. Ingest high volume and high cardinality data – to the tune of hundreds of millions of time series data points per second – without impacting performance.
High-ratio data compression, using the open source Apache Parquet file format, allows you to store more data, using less space, and all on low-cost object storage.
A schema-on-write database, InfluxDB 3.0 automatically updates your data schema to fit the shape of your data. Any expensive data migrations necessary with relational databases are a thing of the past.
InfluxDB delivers critical requirements, without the hassle
Uncompromising reliability
World-class support
Enterprise-grade security
Interoperability and integrations
Lower storage costs
Trusted by more than half a million users
We decided, from a monitoring perspective, that we are going with a best of breed setup. So, we put the best tools in place, like InfluxDB for metrics monitoring.
Daniel Putz,
DevOps Enablement, Volvo
InfluxDB is a high-speed read and write database. The data is being written in real time, you can read in real time, and when you’re reading it, you can apply your machine learning model. So, in real time, you can forecast, and you can detect anomalies.
Rajeev Tomer,
Sr. Manager of Data Engineering,
Capital One
I cannot tell you how much we reach out to InfluxData Technical Support, which has been really, really, really helpful to help us out in time of need.
Dennis Brazil,
SRE Monitoring, PayPal
Customize for your enterprise
Fully Managed
InfluxDB Cloud Dedicated
- Single-tenant cloud environment
- Capacity-based pricing
- Support included
Self-Managed
InfluxDB Clustered
- Deploy where you want it
- Capacity-based pricing
- Support included