Cassandra maximizes availability and partition tolerance. Cassandra ensures eventual consistency by updating all replicas during read operations and periodically checking and updating any replicas not directly accessed. This is Cassandra’s way of ensuring that any query always returns the most recent version of the result set, and that all replicas of any given row will eventually become completely consistent with each other.
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- Apache Kafka
- Dev Rel
Why is Apache Kafka® Tiered Storage more like a dam than a fountain? Part 3: Kafka time and space
At a medieval feast where food is better! This picture illustrate the theme of this and the next blog: “more is often better”! (Source: Adobe Stock) In two recent blogs, I investigated the new Apache Kafka® Tiered Storage architecture which enables Kafka to stream more (essentially unlimited data) for less cost (by storing more older…
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- ClickHouse
- Dev Rel
It’s a ClickHouse® Christmas!
All I want for Christmas is…a new real-time stream processing technology: ClickHouse!
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- Dev Rel
- OpenSearch
Learning OpenSearch from scratch, part 2: Digging deeper
Welcome back! This series–Learning OpenSearch from Scratch–explores my learning process for OpenSearch®. My aim of this series is more conceptual; if you’re looking for a hands-on tutorial using OpenSearch, check out my OpenSearch 101 post and video. In the first post I covered the basics of OpenSearch. Now, at this point in the learning journey,…