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Last updated : Apr 13, 2021
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Apr 2021
Trial ? Worth pursuing. It is important to understand how to build up this capability. Enterprises should try this technology on a project that can handle the risk.

Materialize is a streaming database that enables you to do incremental computation without complicated data pipelines. Just describe your computations via standard SQL views and connect Materialize to the data stream. The underlying differential data flow engine performs incremental computation to provide consistent and correct output with minimal latency. Unlike traditional databases, there are no restrictions in defining these materialized views, and the computations are executed in real time. We've used Materialize, together with Spring Cloud Stream and Kafka, to query over streams of events for insights in a distributed event-driven system, and we quite like the setup.

Oct 2020
Assess ? Worth exploring with the goal of understanding how it will affect your enterprise.

Materialize is a streaming database that enables you to do incremental computation without complicated data pipelines. Just describe your computations via standard SQL views and connect Materialize to the data stream. The underlying differential data flow engine performs incremental computation to provide consistent and correct output with minimal latency. Unlike traditional databases, there are no restrictions in defining these materialized views and the computations are executed in real time.

Published : Oct 28, 2020

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