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Introduction

Pivotal released a major refresh of the Greenplum analytic database to handle a greater variety of workloads, adding JSON support and resource consumption isolation and setting the stage for adding cloud-native container support.

Highlights

  • Pivotal is positioning the Greenplum database as a platform that takes an 80/20 approach to running big data workloads.

Features and Benefits

  • Outlines the features that are increasing the range and manageability of workloads on the Greenplum analytic database.
  • Analyzes the feature roadmap for Greenplum that will come as the result of Pivotal's open source strategy that will align Greenplum more closely with the open source PostgreSQL project.

Key questions answered

  • Where does the Greenplum database fit in the overall Pivotal business?
  • What difference will alignment with the open source PostgreSQL project have on Greenplum customers, and what new features will come into the platform?
  • What must Pivotal do to make Greenplum a cloud-friendly analytic database?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises

The big picture

  • The headlines: Multi-cloud, open source analytic database
  • Background: One of the pioneering modern analytic databases
  • Alignment with the PostgreSQL open source project
  • Differentiation: Integrated analytics
  • Evolution to open source business model

Comparative analysis

  • Integrated analytics
  • Feeds and speeds

Cloud strategy

  • The cloud opportunity
  • Containers: The link to Cloud Foundry and the start of managed cloud?
  • Querying data in cloud storage

Appendix

  • Methodology
  • Further reading
  • Author