Chronix

Chronix

Chronix is an open-source time series database optimized for storing and analyzing time-stamped metrics and events. It is designed to efficiently handle high-volume time series data with optimal query performance.
Databases Time Series Databases
time-series metrics events open-source
Chronix alternatives ➤

Chronix: Open-Source Time Series Databases

Chronix is an open-source time series database optimized for storing and analyzing time-stamped metrics and events, designed for high-volume data with optimal query performance.

What is Chronix?

Chronix is an open-source time series database specifically optimized for storing and analyzing large amounts of time-stamped data such as metrics and diagnostic events generated by applications, systems, and devices. It was originally created by Florian Lautenschlager as part of his PhD research at the University of Konstanz in Germany.

The key goal of Chronix is to provide a high-performance database solution for managing time series data that scales easily to extremely large data volumes and query workloads. It uses optimizations like compression, downsampling, and batched writes to achieve efficient storage on spinning disks or flash storage.

A major focus is query efficiency over geo-distributed deployments and very large data sets with minimal latency. Chronix supports SQL-like querying through a REST API, client libraries for Java and C++, and integrations for visualization and analytics tools like Grafana. It can handle upwards of millions of data points per second ingested, stored, compressed, queried, and analyzed in real-time.

Chronix runs as a standalone server or cluster coordinated by Apache ZooKeeper. It stores data on disk in binary files and automatically downsamples older data for compact long-term storage. Replication and automated failover provide resiliency for high availability deployments. Chronix is implemented in Java and released under the Apache License 2.0.

Chronix Features

Features

  1. Stores time series data
  2. Optimized for write performance
  3. Query optimization for time series data
  4. Customizable retention policies
  5. Built-in dashboard and visualization
  6. Alerting and anomaly detection
  7. Scalable distributed architecture

Pricing

  • Open Source

Pros

High ingestion rate

Low latency queries

Handles high volume time series data

Open source with Apache license

Easy to deploy

Good documentation

Cons

Limited adoption and community support

Not as full featured as some commercial options

Lacks some advanced analytics features

Official Links

Official Website
https://chronix.io/

The Best Chronix Alternatives

Top Databases and Time Series Databases and other similar apps like Chronix

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