Microsoft Parallel Data Warehouse vs. Pivotal Greenplum

Microsoft Parallel Data Warehouse is ranked 11th in Data Warehouse with 3 reviews vs Pivotal Greenplum which is ranked 4th in Data Warehouse with 5 reviews. The top reviewer of Microsoft Parallel Data Warehouse writes "Gives us the ability to distribute large data sets across nodes". The top reviewer of Pivotal Greenplum writes "Handles complex queries and report production efficiently, integrates with Hadoop". Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, Teradata and Netezza. Pivotal Greenplum is most compared with Apache Hadoop, Teradata and Vertica. See our Microsoft Parallel Data Warehouse vs. Pivotal Greenplum report.
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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

It handles high volumes of data very well.​It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time.​

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It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop.Very fast for query processing.Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective.

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It needs more compatibility with common BI tools.​Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution.

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Implementation takes a long time.One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle.they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer.They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data.It will be very useful if we could communicate with other database types from Greenplum (using a database link).We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL.

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Pricing and Cost Advice
Information Not Available
Pricing is good compared to other products. It's fine.It is the best product with best fit for price/performance customer objectives.

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out of 29 in Data Warehouse
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out of 29 in Data Warehouse
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Top Comparisons
Compared 42% of the time.
Compared 13% of the time.
Compared 13% of the time.
Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data WarehouseGreenplum

The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.

Advanced analytics meets traditional business intelligence with Pivotal Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open source Greenplum Database. Pivotal Greenplum provides comprehensive and integrated analytics on multi-structured data. Powered by one of the world’s most advanced cost-based query optimizers, Pivotal Greenplum delivers unmatched analytical query performance on massive volumes of data.

Learn more about Microsoft Parallel Data Warehouse
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Sample Customers
Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel EuropeGeneral Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
Top Industries
No Data Available
Financial Services Firm44%
Comms Service Provider19%
Marketing Services Firm19%
Software R&D Company6%
Financial Services Firm49%
Comms Service Provider20%
Manufacturing Company5%
Transportation Company5%
Company Size
Small Business38%
Midsize Enterprise13%
Large Enterprise50%
Small Business14%
Midsize Enterprise19%
Large Enterprise67%
Small Business31%
Midsize Enterprise31%
Large Enterprise38%
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. Pivotal Greenplum and other solutions.
310,623 professionals have used our research since 2012.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.

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