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Tech riderRev. 4 Oct 2026

Chronon

Ch 076.8of 17 Feature Store Software
  1. 1Runs onAPI, self-hosted
  2. 2CostsFree plan
  3. 3Online storeYes
  4. 4Offline storeYes
  5. 5Point-in-time joinsYes
  6. 6Feature monitoringYes
  7. 7Deployment modelself hosted
  8. 8Serving modesboth
8 lines stated Written from the maker's own pages: chronon.ai
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The Chronon homepage

Overview

Chronon is ranked #7 of 17 in feature store software on Specifiction. It runs on API, Self-hosted. There is a free plan.

Chronon plans and pricing

All plans
Open source Free Apache 2.0 license · no usage limits stated chronon.ai · 4 Oct 2026

Compared on feature store software

Online store
Yeschronon.ai
Offline store
Yeschronon.ai
Point-in-time joins
Yeschronon.ai
Feature monitoring
Yeschronon.ai
Deployment model
self_hostedchronon.ai
Serving modes
bothchronon.ai

Facts

Product
Chronon is an open-source feature platform for building, deploying, managing, and monitoring machine-learning data pipelines.chronon.ai · 4 Oct 2026
Feature computation
Chronon supports batch and real-time feature computation for online serving and offline training or evaluation.chronon.ai · 4 Oct 2026
Feature definitions
Features can be defined through a Python API that supports transformations and aggregations.chronon.ai · 4 Oct 2026
Data inputs
Documented inputs include event streams, warehouse tables, production databases, change data streams, service endpoints, and request-context data.chronon.ai · 4 Oct 2026
Consistency
Chronon supports temporally accurate offline backfills intended to keep training data consistent with production inference data.chronon.ai · 4 Oct 2026
Monitoring
It can generate monitoring pipelines for training-data quality, training-serving skew, and feature drift.chronon.ai · 4 Oct 2026
Compute integrations
The homepage describes Apache Spark for batch processing and Apache Flink for streaming aggregations.chronon.ai · 4 Oct 2026
Storage integration
Chronon uses a bring-your-own key-value store approach, with Redis and DynamoDB listed as examples.chronon.ai · 4 Oct 2026
Serving API
Production online serving is provided through Java or Scala Fetcher libraries embedded in a service or application.chronon.ai · 4 Oct 2026
Orchestration
Airflow is documented as the best-supported orchestration method, while other orchestration integrations are also possible.chronon.ai · 4 Oct 2026
Setup requirement
Chronon jobs require Spark to run, and the data integration guide assumes access to a Spark environment connected to the data warehouse.docs.chronon.ai · 4 Oct 2026
Getting started
The project quickstart requires Docker and describes running Chronon locally with a docker-compose file.github.com · 4 Oct 2026
Support
The project README directs users to GitHub Issues for bugs or feature requests and its community Slack for discussion, tips, and support.github.com · 4 Oct 2026
Security reporting
The repository security policy asks users to report potential security issues through Airbnb's Bug Bounty program rather than public issues or pull requests.github.com · 4 Oct 2026
What it does
Chronon is an open-source feature platform for building, deploying, managing, and monitoring machine-learning data pipelines.docs.chronon.ai · 4 Oct 2026
Point-in-time correctness
Chronon supports point-in-time-correct training backfills to help keep offline training features consistent with online serving.docs.chronon.ai · 4 Oct 2026
Data sources
Chronon can consume event streams, database snapshots, change data streams, service endpoints, and warehouse tables.docs.chronon.ai · 4 Oct 2026
Batch and streaming
Chronon uses Spark for batch jobs and supports streaming with Spark Streaming or an experimental Flink connector.docs.chronon.ai · 4 Oct 2026
Streaming integration
For online streaming, Chronon requires a StreamDecoder to convert Kafka message bytes into Chronon events or mutations.chronon.ai · 4 Oct 2026
Deployment requirement
Chronon jobs require Spark, and users configure execution through a spark_submit.sh script.docs.chronon.ai · 4 Oct 2026
License
The Chronon project is published under the Apache 2.0 license.github.com · 4 Oct 2026
Adoption
The project lists Airbnb, Stripe, OpenAI, Roku, Netflix, Uber, Intuit, Airwallex, Sardine AI, and Monzo Bank as adopters.github.com · 4 Oct 2026

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Where it ranks on Specifiction

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