Optimal Cost, Performance and Flexibility
Implement a wide variety of enterprise data analytic use cases at a massive scale by leveraging flexible data models and storage, deep machine learning and out-of-the-box integration with data analytics and visualization tools.
Shorten Your Data-Driven Innovation Cycles
Rapidly develop deep analytics using standard toolsets and languages – including Structured Query Language (SQL), Python, Ruby and Java. Significantly shorten data-driven innovation cycles by combining discovery-based analysis of large data sets with rapid development of data analytics applications.
Perform Business-Critical Analytic Tasks
Perform the most business-critical analytical tasks out-of-the-box by leveraging the mature set of encryption, authentication, high-availability, geo-redundancy capabilities. Adhere to the most demanding security and regulatory policies and business continuity SLAs.
Best-in-class, enterprise-grade analytical data warehouse.
Incorporates key performance capabilities, flexible data analytics, enterprise grade robustness, seamless integration with analytics stacks and a database management framework focused on reducing total cost of ownership.
Massively-Parallel, Shared-Nothing Database
- Shared-nothing architecture that automates parallel processing of data and queries.
- Petabyte-scale, parallel loading – based on massively parallel processing (MPP) Scatter/Gather Streaming™ technology.
- Industry-leading, in-database compression technology.
Flexibility in Storage and Analytics
- Cost-based SQL query optimizer creates query plans that execute complex joins at breakthrough performance.
- Polymorphic Data Storage™, processing and compression delivers optimal performance and storage efficiency.
- Flexible partitioning of tables at multiple levels.
Advanced Analytics Platform
- Optimized for batch jobs with high volume, interactive jobs with low latency and trickle micro-batch jobs with high throughput.
- Rich SQL dialect with complex join operations.
- Library of massively parallel in-database, advanced analytics.
- Extensibility framework for custom analytics and database functions.
- Supports business continuity features such as high availability, intelligent fault detection and fast online differential recovery, full and incremental backup and disaster recovery.
- A rich set of security and authentication features address enterprise policy and regulatory requirements.
Seamless Integration with Analytics Stacks
- Integrates with heterogeneous Hadoop environments.
- Offers comprehensive SQL support with online analytical processing (OLAP) extensions.
- Integrates with in-memory data grid and object store to post process structured data.
Best-in-Class Data Management Framework
- Servers can be added while the database remains online and fully available.
- Performance monitoring framework allows separation of hardware and software issues.
- A unified UI based on Apache Ambari, provisions and manages both Pivotal Greenplum Database™ and Pivotal HD.
Driving Revenue and Reducing Risk
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