Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.
Real-time analytics on Postgres tables
Apache Iceberg REST Catalog in Rust — access control, credential vending and audit for every engine and AI agent. Apache 2.0.
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
Lakehouse native graph engine with git-style workflows
DuckDB-powered data lake analytics from Postgres
Experimental version. A BYOC option for Snowflake workloads
AI-Lake Format: self-contained Parquet + HNSW index — unifying tabular data, embeddings, and vector search in a single Iceberg-compatible file
IceGate is an observability data lake engine
Rust-native time-series table format with gap/overlap tracking and SQL queries
CLI diagnostic tool showing step-by-step how Delta Lake prunes files given a predicate
In-place query engine for Lakehouses (Iceberg and Delta Lake) for Exasol. Written in Rust 🦀
Iceberg-native, row-group-granular read cache for Trino. Drop-in S3 endpoint shim. 94%→5.7% infra failure rate, p50 latency cut in half. Rust, Apache 2.0, fail-open.
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