We are excited to announce the Insights Dashboard — a built-in analytics view that gives you full visibility into your Bucketeer usage, right from the console.
PostgreSQL is now supported as a data warehouse (DWH) option in Bucketeer 2.2.0, alongside BigQuery and MySQL. We added it because Postgres supports TimescaleDB, which fits OLAP-style event and analytics workloads well.
We're excited to announce Bucketeer 2.0, a major update to our feature flag management platform. This release is all about usability, speed, and flexibility — making it easier than ever to manage flags, collaborate with your team, and roll out changes with confidence.
Over the past months, we've listened closely to feedback from the community. Many of you wanted a smoother workflow, faster flag management, and more intuitive tools. With Bucketeer 2.0, we've reimagined the console from the ground up to deliver just that.
Bucketeer has always been a powerful open-source platform for feature flag management and A/B testing.
But until now, self-hosting Bucketeer required Google Cloud services like BigQuery and Pub/Sub. That meant local testing was difficult, and teams who preferred to host outside GCP had limited options.
With Bucketeer Lite, we're changing that.
Now you can run Bucketeer in just a few minutes using Docker Compose, with Redis Streams for pub/sub and MySQL for data storage.
No GCP required — just Docker, MySQL, and Redis.
Almost two years ago, we made our in-house product, Bucketeer, open-source, starting with version 0.1.0. Since then, through extensive use across multiple projects, we have established its stability and reliability, leading us to the milestone release of version 1.0.