Time series analytics database engineered for developers working with real-time streaming data at any scale
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.