Discover and compare data architecture technologies
Matca is a curated directory of data architecture technologies, organized by capability. Browse licenses, deployment models, and adjacent tooling to choose the right components for your platform.
Commercial Kafka platform from the team that built it
Event Streaming
Confluent is the commercial data streaming platform built around Apache Kafka by its original creators, sold as self-managed Confluent Platform and as the Confluent Cloud service, and acquired by IBM in March 2026.
Distributed SQL for analytics over mixed and high-cardinality data
OLAP Engines
CrateDB is an open-source distributed SQL database for real-time analytics and search, querying relational, JSON, time-series, geospatial, vector, and full-text data through one PostgreSQL-compatible interface.
Daft is a Rust-based data engine with a Python interface, processing images, audio, video, embeddings, and structured data through one API, and scaling from a laptop to a cluster without code changes.
Dagster is an open-source orchestrator organized around software-defined assets — declaring the tables and models pipelines produce — with strong local development and testing.
Parallel pandas and NumPy, from one machine to a cluster
Batch Compute
Dask is a Python library for parallel and distributed computing that provides pandas-compatible DataFrames and NumPy-compatible Arrays over datasets larger than memory, running locally or across a cluster.
