DSE In-Memory

This feature is deprecated in DataStax Enterprise 6.8. It will be removed in a future version.

DSE In-Memory is a part of the multiple storage options offered in DataStax Enterprise for optimizing performance and cost goals. DSE in-memory provides lightning-fast performance for read-intensive situations. It allows developers, architects, and administrators to easily choose what parts (some or all) of a database reside fully in RAM. It is designed for use cases that lend themselves to in-memory computing, while allowing disk-based workloads to be serviced by DSE Tiered Storage and traditional storage modeling.

DSE In-Memory is suitable for use cases that include primarily read-only workloads with slowly changing data and/or semi-static datasets, such as a product catalog that is refreshed nightly, but read constantly during the day. It is not suitable for workloads with heavily changing data or monotonically growing datasets that might exceed the RAM capacity on the nodes/cluster.


Creating or altering tables to use DSE In-Memory

Use CQL directives to create and alter tables to use DSE In-Memory.

Verifying table properties

In cqlsh, use the DESCRIBE command to view table properties.

Managing memory

How to manage available memory when using DSE In-Memory.

Backing up and restoring data

The procedures for backing up and restoring data is the same procedure for DSE In-Memory data and on-disk data.

Was this helpful?

Give Feedback

How can we improve the documentation?

© 2024 DataStax | Privacy policy | Terms of use

Apache, Apache Cassandra, Cassandra, Apache Tomcat, Tomcat, Apache Lucene, Apache Solr, Apache Hadoop, Hadoop, Apache Pulsar, Pulsar, Apache Spark, Spark, Apache TinkerPop, TinkerPop, Apache Kafka and Kafka are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Kubernetes is the registered trademark of the Linux Foundation.

General Inquiries: +1 (650) 389-6000, info@datastax.com