Microsoft Parallel Data Warehouse vs VMware Tanzu Greenplum comparison

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Executive Summary

We performed a comparison between Microsoft Parallel Data Warehouse and VMware Tanzu Greenplum based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution has been reliable.""We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it.""Data collection and reporting are valuable features of the solution.""The most valuable feature for me is querying.""One of the most important features is the ease of using MS SQL.""We can store the data in a data lake for a very low cost.""Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products.""Microsoft Parallel Data Warehouse provides good firewall processing in terms of response 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.""The most valuable feature for us is horizontal scaling.""The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable.""We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database.""A very good, open-source platform.""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.""Pivotal Greenplum's shared-nothing architecture.""It works very well with large database queries."

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Cons
"I would like the ability to do more real-time type updates instead of batch-oriented updates.""SQL installation is pretty tricky. The scalability and customer support also should be improved.""It could offer more development across the solution.""If the database is large with a lot of columns then it is difficult to clean the data.""The product does not have all of the features that the native products have.""Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced.""It needs more compatibility with common BI tools.""The only issue with the product is that the process is very slow when we have a huge amount of data."

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"Tanzu Greenplum's compression for GPText could be made more efficient.""They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often.""Initial setup is a little complex. It took around two weeks to deploy.""Lacks sufficient inbuilt machine-learning functions for complex use cases.""Maintenance is time-consuming.""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).""The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."

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Pricing and Cost Advice
  • "I think the program is well-priced compared to the other offerings that are out in the market."
  • "Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information."
  • "All the features that we use do not require any additional subscription or yearly fees."
  • "Technical support is an additional fee and is expensive."
  • "The solution's pricing is fairly decent for organizations with huge data sizes."
  • "The tool could be expensive if we need to manage a lot of data."
  • "They offer an annual subscription. The pricing depends on the size of the environments."
  • More Microsoft Parallel Data Warehouse Pricing and Cost Advice →

  • "It is the best product with best fit for price/performance customer objectives."
  • "Pricing is good compared to other products. It's fine."
  • "We are using the open-source version of this solution."
  • "Tanzu Greenplum's pricing is really competitive and gives excellent value for money."
  • "It’s an open-source solution."
  • More VMware Tanzu Greenplum Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.
    Top Answer:They offer an annual subscription. The pricing depends on the size of the environments.
    Top Answer:Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced.
    Top Answer:It’s an open-source solution. There are no expenses for using it.
    Top Answer:Maintenance is time-consuming. It takes time to VACUUM and ANALYZE the tables to remove the fragmentations.
    Ranking
    8th
    out of 33 in Data Warehouse
    Views
    638
    Comparisons
    516
    Reviews
    12
    Average Words per Review
    379
    Rating
    8.0
    9th
    out of 33 in Data Warehouse
    Views
    2,186
    Comparisons
    1,771
    Reviews
    6
    Average Words per Review
    370
    Rating
    7.3
    Comparisons
    Also Known As
    Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
    Greenplum, Pivotal Greenplum
    Learn More
    Overview

    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.

    VMware Tanzu Greenplum is a massively parallel processing (MPP) data platform that enables organizations to store, manage, and analyze large volumes of data. It provides a unified analytics platform that supports various data types and sources, including structured, semi-structured, and unstructured data. 

    The solution is highly scalable and can be deployed on-premises, in the cloud, or hybrid environments. It includes advanced security features, high availability, and disaster recovery capabilities to minimize downtime and ensure business continuity. Tanzu Greenplum provides a comprehensive set of tools and services for building, deploying, and managing modern applications.

    Sample Customers
    Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
    General Electric, Conversant, China CITIC Bank, Aridhia, Purdue University
    Top Industries
    REVIEWERS
    Computer Software Company18%
    Healthcare Company18%
    Pharma/Biotech Company12%
    Hospitality Company12%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm18%
    Insurance Company7%
    University6%
    REVIEWERS
    Financial Services Firm52%
    Marketing Services Firm12%
    Comms Service Provider12%
    Retailer8%
    VISITORS READING REVIEWS
    Financial Services Firm30%
    Computer Software Company13%
    Manufacturing Company6%
    Insurance Company5%
    Company Size
    REVIEWERS
    Small Business34%
    Midsize Enterprise14%
    Large Enterprise51%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise18%
    Large Enterprise66%
    REVIEWERS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum
    March 2024
    Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA and Snowflake, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance and Apache Hadoop. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum report.

    See our list of best Data Warehouse vendors.

    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.