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.
Azure object storage with a Hadoop-compatible lake namespace
Object Storage
Azure Blob Storage is Microsoft's managed object store, and the service Azure Data Lake Storage is built on — enabling its hierarchical namespace turns a blob container into a POSIX-like filesystem that Spark and Presto read through the ABFS driver.
Distributed SQL query engine for federated analytics
Query Engines
Trino is an open-source distributed SQL engine that queries data where it lives — object storage, lakehouse table formats, and operational databases — through a single interface.
PostgreSQL extension adding time-series and columnar analytics
OLAP Engines
TimescaleDB is a PostgreSQL extension that adds automatic time-based partitioning, hybrid row-columnar storage, and incrementally refreshed aggregates, keeping full PostgreSQL SQL and its entire ecosystem of drivers and tools.
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.
Python library that loads messy sources into typed datasets
Batch ELT
dlt is an open-source Python library for the extract-and-load stage, inferring schemas, normalising nested data, and handling incremental loading — installed with pip and run wherever Python already runs.
