Skip to content
Lorenzo Mangani edited this page Jun 13, 2025 · 8 revisions

GigAPI: The Infinite Timeseries Lakehouse

Like a durable parquet floor, GigAPI provides rock-solid data foundation for your queries and analytics

Problem

Traditional "always-on" OLAP databases such as ClickHouse are fast but expensive to operate, complex to manage and scale, often promoting a cloud product. Data lakes and Lake houses are cheaper but can't always handle real-time ingestion or compaction and querying growing datasets such as timeseries brings back costly operations and complexity. Various "opencore" poison solutions out there.

Solution

GigAPI is a timeseries optimized "lakehouse" designed for realtime data - lots of it - and returning queries as fast as possible. By combining DuckDB's performance, FlightSQL efficiency and Parquet's reliablity with smart metadata we've created a simple, lightweight solution ready to decimate complexity and infrastructure costs for ourselves and others. GigAPI is 100% opensource - no open core or cloud product gimmicks.

GigAPI Features

  • Fast: DuckDB SQL + Parquet powered OLAP API Engine
  • Flexible: Schema-less Parquet Ingestion & Compaction
  • Simple: Low Maintenance, Portable Catalog, Infinitely Scalable
  • Smart: Independent storage/write and compute/read components
  • Extensible: Built-In Query Engine (DuckDB) or BYODB (ClickHouse, Datafusion, etc)

Warning

GigAPI is an open beta developed in public. Bugs and changes should be expected. Use at your own risk.

Star History

Star History Chart

Clone this wiki locally