Pivotal Greenplum Resources

Enterprise-grade analytical database that provides powerful and rapid analytics on very large volumes of data

  • Greenplum Summit 2019: Scale Matters!

    Greenplum Summit 2019: Scale Matters!

    Save the date for Greenplum Summit, an event dedicated to Greenplum Database, at PostgresConf 2019. It’s all happening March 18-22 in New York City, and we want you to be part of it!

    Read More
  • Architecting Massively Scalable Self-Service Analytics Platforms

    Architecting Massively Scalable Self-Service Analytics Platforms

    Read More
  • Containerizing a Data Warehouse for Kubernetes22:36

    Containerizing a Data Warehouse for Kubernetes

    Kubernetes provides a new way to deploy and run software in containers with flexible Services and global DNS discovery. This session will describe the new deployment of Greenplum on the Pivotal Contai

    Watch Video
  • The Relationship Between Visual Explain Plans and Textual Explain Plans

    The Relationship Between Visual Explain Plans and Textual Explain Plans

    Debuting in Greenplum Command Center 4.2 is a new beta feature—the visual explain plan. The plan’s purpose is to visually represent the steps, or operations, to return query results.

    Read More
  • Pivotal Greenplum 5.10 Introduces Greenplum-Kafka Connector for Real Time Data Loading

    Pivotal Greenplum 5.10 Introduces Greenplum-Kafka Connector for Real Time Data Loading

    The headline feature of the 5.10 release of Pivotal Greenplum is Apache Kafka integration, provided with the Pivotal Greenplum-Kafka Connector.

    Read More
  • One Query To Rule Them All: Demonstrating Integrated Analytics in Greenplum

    One Query To Rule Them All: Demonstrating Integrated Analytics in Greenplum

    One of the top advantages of the Greenplum Database is the ability to run integrated analytics in-database. This blog post demonstrates this Greenplum capability.

    Read More
  • Greenplum Building Blocks: Redefining the Modern Data Analytics Platform

    Greenplum Building Blocks: Redefining the Modern Data Analytics Platform

    Greenplum Building Blocks (GBB) is a new strategy for on-premises deployments of Greenplum. GBB is a validated reference architecture that is delivered as a turnkey system from Dell Technologies.

    Read More
  • Greenplum 5.9.0: A Minor but Powerful Release

    Greenplum 5.9.0: A Minor but Powerful Release

    We have recently released Greenplum 5.9.0. The release has  a good number of exciting features, including: A new utility, gpcopy, for high-speed network transfer of data between Greenplum clusters...

    Read More
  • Pivotal Greenplum 5.8 Released!

    Pivotal Greenplum 5.8 Released!

    We recently released Pivotal Greenplum 5.8. Learn all the details about this release.

    Read More
  • May 24 - Simplified Machine Learning, Text, and Graph Analytics with Pivotal Greenplum Webinar

    May 24 - Simplified Machine Learning, Text, and Graph Analytics with Pivotal Greenplum Webinar

    Read More
  • Save the Date for Greenplum Summit 2019! Postgres + AI + Analytics

    Greenplum Summit at PostgresConf 2019, March 18 – 22, 2019, Sheraton New York Times Square, New York, NY Save the date for Greenplum Summit, an event dedicated to Greenplum Database, at...

    Read More
  • Greenplum for Kubernetes Operator

    Greenplum for Kubernetes Greenplum is an MPP (Massively Parallel Postgres) Database coordinating multiple postgres instances to support distributed transactions and data storage. Greenplum is...

    Read More
  • Data Webinars

    See All
  • Development of Greenplum for Kubernetes using Minikube

    TL;DR Minikube is a single node Kubernetes environment designed for local development with local Kubernetes (K8s) and Docker support. Because of its portable nature, the development feedback...

    Read More
  • Concourse as a Service and Multi-CPI

    Concourse as a Service and Multi-CPI

    Background As the Toolsmiths Team for Greenplum, we are tasked with doing everything in our power to enable other developers within the org. When this mission statement is actualized, it often...

    Read More
  • How to Meet Enhanced Data Security Requirements with Pivotal Greenplum

    How to Meet Enhanced Data Security Requirements with Pivotal Greenplum

    As enterprises seek to become more analytically driven, they face a balancing act: capitalizing on the proliferation of data throughout the company while simultaneously protecting sensitive data from

    View Presentation
  • Mixing Analytic Workloads with Greenplum and Apache Spark

    Mixing Analytic Workloads with Greenplum and Apache Spark

    Apache Spark is a popular in-memory data analytics engine because of its speed, scalability, and ease of use. It also fits well with DevOps practices and cloud-native software platforms. It’s good for

    View Presentation
  • GiST Support in GPORCA

    GiST Support in GPORCA

    We look at how GIST indexes can be supported in GPORCA, allowing GPORCA to generate plans providing better query execution times. Introduction Pivotal’s SQL Optimizer, GPORCA, does not handle GiST...

    Read More
  • Subscribe to Pivotal Insights Podcast

    Subscribe
  • Boost Greenplum BI Performance with Heimdall Data

    Boost Greenplum BI Performance with Heimdall Data

    Eric Brandsberg, CTO of Heimdall Data and Greg Chase, Business Development Lead at Pivotal, chat with Jeff Kelly about how Heimdall Data can help you boost Greenplum BI PerformanceOne of the more...

    Read More
  • Aug 22 - How to Meet Enhanced Data Security Requirements with Pivotal Greenplum Webinar

    Aug 22 - How to Meet Enhanced Data Security Requirements with Pivotal Greenplum Webinar

    Read More
  • ×

    Subscribe to our Weekly Newsletter

    !
    Thank you!
    Error - something went wrong!
  • Databasing with Greenplum, with Ivan Novick (Ep. 108)

    Databasing with Greenplum, with Ivan Novick (Ep. 108)

    We talk databases in this episode. First, with the history of databases and why the relational database become king, for awhile at least, and then about how databases evolved, ending up talking about

    Read More
  • loading
    Loading More...