Production-ready tools for Apache Druid that simplify deployment on Kubernetes, accelerate queries, enable embedded and self-service analytics, provide historical data access, and monitor clusters at scale.
Deep.BI develops open-source and commercial tools that extend Apache Druid for production use, helping teams deploy, operate, and scale their analytics platforms with less effort.
Connect with our engineersApache Druid is an exceptionally fast analytics database, but production deployments often require additional tooling. Teams often end up building their own Kubernetes automation, caching layer, monitoring, historical data access, and analytics interfaces.
Rather than rebuilding these capabilities yourself, you can use tools developed by the engineers behind Deep.BI's Apache Druid consulting and managed services.
A production-ready fork of the Apache Druid Operator with additional fixes, features, and commercial support for Kubernetes deployments.
Best for: Teams running Druid on Kubernetes who want a battle-tested operator backed by commercial support.
Free and open source. Reads historical Druid segments directly into Spark, with no cluster load and no duplicated storage.
Best for: Giving data science and ML teams direct access to historical data without impacting production workloads.
Cuts query latency up to 10x with an external caching layer, with full control over cache invalidation by user, query, or time period.
Best for: Dashboards with many concurrent users repeating the same queries.
A complete analytics interface for Apache Druid with ad hoc exploration, KPI dashboards, a visual query builder, embedded analytics APIs, and role-based access control.
Best for: Teams providing self-service analytics or embedding Apache Druid dashboards into customer-facing applications.
Observability and performance monitoring for Apache Druid, including cluster health, query activity, dashboard usage, and root-cause analysis.
Best for: Production Apache Druid clusters that need proactive monitoring and performance optimization.
