You can use InfluxDB to capture, store, and analyze continuous high-velocity time series data across distributed environments. It handles telemetry from IoT sensors, server metrics, and physical devices without falling behind on performance. You can query your operational data using standard SQL or write records with client libraries in Python, JavaScript, and Go. The database compresses data into Parquet files to reduce storage costs and automatically evicts older records into external data lakes. It allows engineering teams to monitor infrastructure, track equipment metrics, and feed real-time signals into machine learning pipelines.
What InfluxData does
Pricing breakdown
Pricing model: Free tier, Paid
Tutorials & Demos
Frequently asked
Want a tailored answer?
See whether InfluxData fits your stack.
Techbible weighs InfluxData against what you already pay for, your team shape, and the work that's actually happening. Free to start.
Side by side
Compare InfluxData
Search the catalog or pick a similar tool to compare pricing, features, and fit.
Or pick from similar tools
More in Data Platform & Integration
All tools →Ellie.AI
Design conceptual data models and maintain business glossaries collaboratively in your browser
MotherDuck
Run fast SQL analytics in the cloud using DuckDB without managing infrastructure
Pinecone
Store and search vector embeddings at scale for retrieval-augmented generation applications
Qdrant
Store, search, and manage high-dimensional vector embeddings for machine learning applications
404 Page not found
Data Governance Software for Snowflake, Databricks & Modern Data Platforms. Control data at the source with Expanso's Hybrid Data Management platform.
Accelario
Provision and mask test data for development and QA teams automatically
Acceldata
Monitor data quality, track pipeline performance, and manage enterprise workloads across hybrid environments
AdOpt
Manage website cookie banners and user consent to comply with privacy regulations