Data Lake & Lake House Solutions


Warehouse-scale. Postgres reliability. AI-ready power.

WarehousePG is an advanced, open-source data warehouse built for organisations that need real scale and top-tier reliability. Developed from Greenplum’s legacy, it’s now an Apache-2 licensed fork offering full binary compatibility with Greenplum 6.x and 7.x—which means you get all the savings and flexibility of open source, with minimal migration pain.

Benefits

  • Performance at Scale - Handle massive datasets with lightning-fast query speeds.
  • AI & Analytics Ready - Easily integrate with AI tools and frameworks to unlock smarter insights.
  • Open, Flexible, Future-Proof - Built on Postgres – no lock-in, just innovation.
  • Cost-Efficient - Enterprise power without enterprise pricing.


Use Cases

  • Real-time analytics for retail and e-commerce.
  • Predictive insights for financial services.
  • AI-driven customer intelligence for digital businesses.
  • Scalable reporting for growing enterprises.

Key Capabilities That Set It Apart

Massive Scale & Concurrency




Whether you’re handling petabytes of data or serving dozens (or hundreds) of simultaneous queries, WarehousePG scales out across multiple worker nodes so performance doesn’t suffer.

MPP Architecture + Reliability




With a Master (or Coordinator) that optimises query planning, plus multiple Segments operating in parallel, it delivers speed. And with standby Masters and mirrored Segments, you get resilience for mission-critical uptime.

Real-Time, High-Speed Data Processing




Designed for continuous pipelines, WarehousePG’s fast interconnects and cluster design allow streaming, ingesting, processing large data flows with minimal delay.

Open, Compatible, Cost-Effective




Built on PostgreSQL (v12.12 fork), it keeps you in the Postgres ecosystem—open, familiar, flexible. If you already use Greenplum, your transition is smoother.

Contact Us

Break down silos and create a single source of truth with a unified data platform. Clarita helps you unlock the full potential of your data across systems and environments.

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