A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
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Updated
Jun 30, 2026 - Rust
A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
OpenHuFu is an open-sourced data federation system to support collaborative queries over multi databases with security guarantee.
A project focused on tools and best practices to supported federated data collection efforts
A Data Federation Approach to Analyze Behavioral Health and Supplement Healthcare Practice with Community Health Metrics in Alaska
A semantic layer for your data: archmax describes it, you sharpen it, agents query it.
The publication is a collection of sample code to show how data from SAP and non-SAP systems can be made available for training in ANY hyperscaler machine learning service via several layers of abstraction from data connection to training using our FedML Python libraries.
Content for the supergraph.io website
This is a recommended paper list for the course of Privacy Computing.
A Trino-to-Trino connector for cross-cluster federated queries.
An Experimental Study on Federated Equi-Joins
Streaming data processor with a simple plugin framework and a modernized SQL interface.
The Data Layer for AI. A high-performance federated SQL engine that gives AI agents governed, zero-copy access to your entire data stack (Postgres, S3, APIs).
A federated GraphQL services example
This example registers the DashboardFederationDataSource from a set of data sources
Kvatch CLI is a lightweight command-line tool that lets you connect multiple data sources, define datasets, and run SQL queries across them — all as if they were a single unified database.
On-Demand Big Data Integration: A Hybrid ETL Approach for Reproducible Scientific Research
This example shows how to use the Union operation to combine data into a single federated query.
On-Demand Big Data Integration-as-a-Service: A Data Federation Framework for Reproducible Science
Apache Calcite is a dynamic data management framework developed by the Apache Software Foundation that provides SQL parsing, query planning and optimization, and data federation capabilities. It serves as the SQL engine and query optimizer for many big data systems including Apache Hive, Druid, Flink, Kafka Streams, and others.
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