Extremely fast Query Engine for DataFrames, written in Rust
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
Apache DataFusion SQL Query Engine
An extensible, state-of-the-art framework for columnar compression, and the fastest FOSS columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation.
Apache Auron is an accelerator for big data engines, leveraging native vectorized execution to accelerate query processing.
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Apache DataFusion Ballista Distributed Query Engine
Official Rust implementation of Apache Arrow
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.
Apache Kafka® compatible broker with S3, PostgreSQL, SQLite, Apache Iceberg and Delta Lake
Apache DataFusion Iceberg Integration
Ergonomic bindings to duckdb for Rust
Rust-based WebAssembly bindings to read and write Apache Parquet data
A distributed OpenTelemetry-native columnar datastore whose only backend is object storage.
Rust-native federated SQL query engine with governance enforced in the query plan. One PostgreSQL endpoint for all your databases.
A practical night-planning companion for amateur astronomers, with observing windows, forecasts and targets.
Intuitive Data Workflows