Massively parallel processing databases News
December 01, 2017
Born at Cloudera, the MPP query engine known as Apache Impala has become a top-level open source project. It's one of various tools bringing SQL-style interactivity to big data analytics.
November 29, 2017
The Apache Software Foundation (ASF) has graduated Apache Impala to become a Top-Level Project (TLP). Apache Impala itself is an analytic database for Apache Hadoop, the open source software ...
July 21, 2016
As Azure SQL Data Warehouse reaches general availability, it brings massively parallel processing to a wider audience, and augers more competition in the cloud data space.
August 31, 2015
IBM has added massively parallel processing and R language support to its dashDB software -- important steps for a data warehouse database tailored for distributed cloud computing.
Massively parallel processing databases Get Started
Bring yourself up to speed with our introductory content
An MPP database is a database that is optimized to be processed in parallel for many operations to be performed by many processing units at a time. Continue Reading
A need for data warehouses designed for large-volume data loading and complex analytical workloads led to Microsoft's Analytics Platform System. Continue Reading
Microsoft SQL Server Parallel Data Warehouse (SQL Server PDW) is a pre-built data warehouse appliance that includes Microsoft SQL Server database software, third-party server hardware and networking components. Continue Reading
Evaluate Massively parallel processing databases Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Amazon's Neptune database may change the status quo in the graph technology world. But it could also introduce a wider base of possible users to graph databases, existing vendors say. Continue Reading
The Teradata Aster Analytics platform includes the Aster Database, Aster SNAP Framework, Aster R, SQL-MapReduce framework, SQL-GR and the Aster Analytics Portfolio. Continue Reading
In order to choose the right big data analysis tools, it’s important to understand the transactional and analytical data processing requirements of your systems and choose accordingly. Continue Reading
Manage Massively parallel processing databases
Learn to apply best practices and optimize your operations.
Microsoft opened the preview of Azure SQL Data Warehouse, a petabyte-scale, distributed columnar data warehouse service with massively parallel processing. Continue Reading
Problem Solve Massively parallel processing databases Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.