A Cassandra component for improving performance of read-intensive operations. The row cache, in off-heap memory, holds rows most recently read from the local SSTables. Each local read operation stores its result set in the row cache and sends it to the coordinator node. The next read first checks the row cache. If the required data is there, Cassandra returns it immediately. This initial read can save further seeks in the Bloom filter, partition key cache, partition summary, partition index, and SSTables. Cassandra uses LRU (least-recently-used) eviction to ensure that the row cache is refreshed with the most frequently accessed rows. The size of the row cache can be configured in the cassandra.yaml file.
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- ClickHouse
- Dev Rel
ClickHouse®: A beginner’s guide to “the fastest” open source OLAP DBMS
At NetApp® Instaclustr, we help our customers make the most of open source technologies at scale. When an open source technology proves to be extremely valuable and our customers ask us to include it in our managed platform, we work hard to make it happen – and that’s exactly what we did with ClickHouse®. ClickHouse…
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- AI/ML
- News
- Popular
- Technical
Top 10 reasons why enterprises choose NetApp® Instaclustr
Enterprises of all shapes, sizes, and industries are increasingly turning to managed open source platforms to simplify their operations, enhance their capabilities, and build reliable applications at scale. According to an IDC analyst brief, with the data growth of AI and cloud-native applications, teams must simplify their underlying data infrastructure to support business objectives. …
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- Apache Kafka
- Dev Rel
- Technical
Why Is Apache Kafka® Tiered Storage More Like a Dam Than a Fountain? Part 2
In Part 1 of this blog, we introduced Apache Kafka® Tiered Storage and had an initial look at how it works in practice on a public preview version of Instaclustr’s managed Apache Kafka service. In this part, we will have a closer look at Performance, dam the river, and conclude. Kafka Tiered Storage Performance Mistaya…