universalcleaner.bandcamp.com/album/gigapi...
idm breakcore for fans of venetian snares, aphex twin, skinny puppy, autechre, horror, sci fi, etc...

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 🔥

We've been ClickHouse pioneers, integrators and even a Clickhouse DB SaaS. But ClickHouse has diverged from opensource into cloud nonsense - so we're leaving it for something just as fast but radically simpler to use and maintain powered by DuckDB OLAP and Apache Arrow and Parquet github.com/gigapi

The latest GigAPI release includes a new awesome SQL User-Interface (a child of Duck-UI) to query data and time series stored in our infinite lake house with DuckDB and our lightweight 🧊 icecube metadata engine.

Fast, Beautiful and Simple to manage, deploy and scale.

Open Beta github.com/gigapi

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

If you enjoyed this, here’s a different Tokyo one! Just as good as the first one.

360gigapixels.com/tokyo-gigapi...

The GigAPI MCP Server is here and ready to dive into your infinite timeseries lake from your favourite LLM sidebrain
github.com/gigapi/gigap...

#mcp #timeseries #gigapi #duckdb #parquet #apache

gigapi/gigapi: GigAPI is a Timeseries lakehouse for real-time data and sub-second queries, powered by DuckDB OLAP + Parquet Query Engine, Compactor w/ Cloud-Native Storage. Drop-in FDAP alternative ⭐

Next week we'll drop our AI Agent integration into #GigAPI - our infinite timeseries lake - and while it's tempting to jump on the AI lingo bus and announce this is "Cursor for Timeseries" it's actually a lot more! 🔥 github.com/gigapi

The backend is our new GigAPI designed to satisfy the needs of our fleet of data stacks from Homer to Gigapipe and many more next, designed to bypass the classic database design bottlenecks with a parquet store easy to scale and manage without giving up query performance and analytical superpowers 🔥

#GigAPI Assistants are in open beta! Designed to figure out data and timeseries ingested in GigAPI w/ BYO models, resources, compute local or remote. From zero to dashboard widget in < 30s and we're only just beginning!

@gigapipe.bsky.social

#timeseries #duckdb #gigapi #gigapipe #olap #llm #agent

#GigAPI features experimental LLM API backends to chat with your timeseries and query results with both local and remote support 🔥 straight out of the GigAPI UI - as always 100% open source @gigapipe.bsky.social

Yes! #FlightSQL API support has landed in #GigAPI and works with the InfluxDB3 Grafana datasource and line protocol ingestion! We're quickly becoming a young drop-in alternative to InfluxDB3 Enterprise powered by #DuckDB (instead of Datafusion) and this is only the beginning 🎉 github.com/gigapi

#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

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

Now this is what a great memory management improvement looks like! DuckDB connection pooling magic in #GigAPI