gigapipe.com

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polyglot observability, opensource, made in EU

#GigAPI 2.0.16 is out with several improvements to our open infinite time series parquet write/query engine compatible with InfluxDB3/IOx: - Embedded Query UI - All-in-One mode (rw, ro, compact, aio) - Refactor of settings - Latest DuckDB engine Next: Plugins support 🔥 github.com/gigapi/gigapi

GitHub - gigapi/gigapi: GigAPI: The Infinite Timeseries Data Lake. DuckDB OLAP + Parquet Query Engine & Cloud-Native Storage API

GigAPI: The Infinite Timeseries Data Lake. DuckDB OLAP + Parquet Query Engine & Cloud-Native Storage API - gigapi/gigapi

github.com

Thanks Devin! GigAPI's #DeepWiki is quite impressive and keeps updating as the project evolves with more detailed explanations and examples about our stack. The mermaid flows are absolute killers and I'm now using them to explain the design internally👇 A++ deepwiki.com/gigapi/gigapi

gigapi/gigapi | DeepWiki

GigAPI is an open-source time-series data lake system designed for analytical workloads. It provides a scalable, low-maintenance architecture for ingesting, storing, and querying time-series data usin

deepwiki.com

We're developing our freedom data pond GigAPI in the open. Is it unique? No, we're inspired by IOx and Iceberg made lighter. Is it the best? Not yet, we've got work to do. Is it fast? Yes. DuckDB + Parquet powered. Is it open source? Forever. No cloud/enterprise gimmicks. github.com/gigapi/gigapi

GitHub - gigapi/gigapi: GigAPI: DuckDB + Parquet Query Engine & Cloud-Native Storage API

GigAPI: DuckDB + Parquet Query Engine & Cloud-Native Storage API - gigapi/gigapi

github.com

"polyglot" comes from Greek polyglōttos, (poly = "many" or "multi" - and glōtta = "language) and it perfectly identifies our philosophy. gigapipe.com is a universal translator for Observability taking care of protocols, query languages and formats - letting you focus on what's important: just data

What if you could forget about OLAP data storage, redundancy, scaling and just focus on queries using your favorite Engine? Inspired by #iox (the original one) and powered by #DuckDB our #GigAPI ½ DB engine is designed to power the next-generation of observability stacks, staring from our very own 🔥

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