Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • spiceai

    A unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets from any database, data warehouse, or data lake.

  • We also have a Grafana plugin we'll continue to improve to make it super easy to connect to Grafana, and Spice has a metrics endpoint and example Grafana dashboard for monitoring itself https://github.com/spiceai/spiceai/blob/trunk/monitoring/gra...

  • datafusion-federation

    Allow DataFusion to resolve queries across remote query engines while pushing down as much compute as possible down.

  • There is an effort within DataFusion to support pushing down joins across tables from the same remote provider that we will likely contribute to as well: https://github.com/datafusion-contrib/datafusion-federation

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • cube.js

    📊 Cube — The Semantic Layer for Building Data Applications

  • I'm not too familiar with https://cube.dev/ - but my initial impression is they are focused more on providing APIs backed by SQL. They have a SQL API that emulates the PostgreSQL wire protocol, whereas Spice implements Arrow and Flight SQL natively. Their pre-aggregations are a similar concept to Spice's data accelerators. It also looks like they have their own query language, whereas Spice is native SQL as well.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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