of your Cassandra nodes by reducing the volume of data on disk. In addition to the space-saving benefits, compression also reduces disk I/O, particularly for read-dominated workloads. Besides reducing compression improves read performance not just by allowing a larger data set to fit in memory, but it also benefits workloads where the hot data set does not fit into memory. Unlike in traditional databases, write only compressed once, when they are written to disk. Enabling compression can yield the following benefits, depending on the data characteristics of the column family: • 2x-4x reduction in data size •

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help you get more from your existing hardware. Vitess’ automation tools then provide additional benefits for larger implementations. The diagram below illustrates Vitess’ components: Figure 2: Architecture application. While NoSQL provides great support for unstructured data, Vitess still offers several benefits not available in NoSQL datastores: NoSQL Vitess NoSQL databases do not define relationships between Around 4-16. There is not much harm in going higher with this value, but you may see no additional benefits. • queryserver-config-stream-pool-size: This value is relevant only if you plan to run streaming

help you get more from your existing hardware. Vitess’ automation tools then provide additional benefits for larger implementations. The diagram below illustrates Vitess’ components: For additonal details application. While NoSQL provides great support for unstructured data, Vitess still offers several benefits not available in NoSQL datastores: NoSQL Vitess NoSQL databases do not define relationships between Around 4-16. There is not much harm in going higher with this value, but you may see no additional benefits. • queryserver-config-stream-pool-size: This value is relevant only if you plan to run streaming

schema Serverless: database right on your computer Zero-configuration: no need to set up! See more benefits at http://www.sqlite.org/different.html 5 http://www.sqlite.org SQL Refresher SQL Refresher:

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segment-b-0 segment-b-1 ConfigMap Master StatefulSet master-0 master-1 Psql query Benefits ● Declarative style deployments ● Auto cluster initialization ● Quick and fast deployments ●

analytics and reporting of Greenplum into an “Operational Data Warehouse” solution that combines the benefits of both Upcoming Roadmap • GA of Gemfire driven Java class library for IMPORT/EXPORT operations