Balance Costs and Performance Between MPP Databases and Apache Spark
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Optimize Analytical Processing
How to balance MPP databases and Spark for analytical processing
Apache Spark and MPP databases are powerful tools for data analytics, but only when used together properly. Without an MPP to handle much of the workload, you can face enormous costs of larger and larger hardware or cloud infrastructure to support your Spark implementation.
It’s important to understand the strengths of each technology, and how to use them together most effectively. A new whitepaper by Ventana Research explores why and how to balance these powerful technologies.
Learn how to get the most out of Spark and an MPP database in terms of power, cost, and performance.
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