Find the Balance Between MPP Databases and Spark for Analytical Processing

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Dave Menninger, SVP and Research Director at Ventana Research, dives into the strengths and power of Apache Spark and massively parallel processing (MPP) databases like Vertica. Spark and MPP databases are both designed for the demands of high scale analytical workloads. Each has strengths related to the full data science workflow, from consolidating data from many siloes, to deploying and managing machine learning models. Understanding the power of each technology, and the cost and performance trade-offs between them can help you optimize your analytics architecture to get the best of both.