Source: thenewstack.io
Materialize: Managed Real-Time Data
The ability to harness real-time data no longer is a nice-to-have, but essential to high-performing companies, a view that https://materialize.com/ takes to heart with the announcement of early availability of its distributed streaming database. But the reality is, it’s been too hard with existing stream processors and real-time frameworks.
Originally written as a single Rust binary, the initial release of Materialize ingested data from Kafka and let users query, transform, and join their streaming data in standard SQL.
It ingests data from multiple sources, including relational databases, event streams and data lakes before transforming or joining data using the same complex SQL queries used with batch data warehouses.
It allows us to build a stream of real-time user interactions to run our models off of.”
Originally written as a single Rust binary, the initial release of Materialize ingested data from Kafka and let users query, transform, and join their streaming data in standard SQL.
It ingests data from multiple sources, including relational databases, event streams and data lakes before transforming or joining data using the same complex SQL queries used with batch data warehouses.
It allows us to build a stream of real-time user interactions to run our models off of.”
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