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Most Helpful Review
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum and other solutions. Updated: March 2021.
475,208 professionals have used our research since 2012.
Quotes From Members

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

Pros
"I am very satisfied with the customer service/technical support.""The most valuable features are the performance and usability.""The most valuable feature for me is querying.""One of the most important features is the ease of using MS SQL.""The most valuable feature of this solution is performance.""The data transmissions between the data models is the most valuable feature.""The most valuable feature is the business intelligence (BI) part of it.""We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."

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"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.""Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible.""The most valuable feature for us is horizontal scaling.""Pivotal Greenplum's shared-nothing architecture.""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.""It's super easy to deploy and it also supports different languages and analytics."

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Cons
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating.""More tools to help designers should be included.""I would like to see better visualization features.""I think that the error messages need to be made more specific.""The reporting for certain types of data needs to be improved.""This solution would be improved with an option for in-memory data analysis.""If the database is large with a lot of columns then it is difficult to clean the data.""I would like the tool to support different operating systems."

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"The installation is difficult and should be made easier.""Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc.""I saw some limitation with respect to the column store, and removing this would be an improvement.""Initial setup is a little complex. It took around two weeks to deploy.""The initial setup is somewhat complex and the out-of-the-box configuration requires optimization.""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."

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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."

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"We are using the open-source version of this solution."

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Questions from the Community
Top Answer: I'd like to connect something like ES that I can use on objects on our SQL Server. We'd like to be able to understand how to export data to something like Semantic Technologies or like Graph DB. Some… more »
Top Answer: It's super easy to deploy and it also supports different languages and analytics.
Top Answer: As of now, I honestly don't see any room for improvement. I am very happy with this solution, It's helped me a lot. They should add more analytics. Their documentation could also be improved so that I… more »
Top Answer: Greenplum is a distributed database that we used for data warehousing.
Ranking
7th
out of 30 in Data Warehouse
Views
2,630
Comparisons
1,935
Reviews
11
Average Words per Review
486
Rating
7.6
8th
out of 30 in Data Warehouse
Views
9,275
Comparisons
6,312
Reviews
6
Average Words per Review
388
Rating
8.0
Popular Comparisons
Also Known As
Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse
Greenplum, Pivotal Greenplum
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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.

Parallel Postgres for enterprise analytics at scale
With improved transaction processing capability and support for streaming ingest, Greenplum can address workloads across a spectrum of analytic and operational contexts, from traditional business intelligence to deep learning.

Offer
Learn more about Microsoft Parallel Data Warehouse
Learn more about VMware Tanzu Greenplum
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 Company27%
Pharma/Biotech Company18%
Comms Service Provider9%
Hospitality Company9%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider12%
Financial Services Firm10%
Insurance Company7%
REVIEWERS
Financial Services Firm53%
Marketing Services Firm16%
Comms Service Provider16%
Pharma/Biotech Company5%
VISITORS READING REVIEWS
Computer Software Company35%
Comms Service Provider18%
Financial Services Firm9%
Manufacturing Company6%
Company Size
REVIEWERS
Small Business32%
Midsize Enterprise18%
Large Enterprise50%
REVIEWERS
Small Business21%
Midsize Enterprise17%
Large Enterprise62%
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum and other solutions. Updated: March 2021.
475,208 professionals have used our research since 2012.

Microsoft Parallel Data Warehouse is ranked 7th in Data Warehouse with 11 reviews while VMware Tanzu Greenplum is ranked 8th in Data Warehouse with 6 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while VMware Tanzu Greenplum is rated 8.0. The top reviewer of Microsoft Parallel Data Warehouse writes "Collects data through SSIS packages from different sources and puts them all in one data repository". On the other hand, the top reviewer of VMware Tanzu Greenplum writes "Powerful external data integration and parallel load capabilities, with good technical support". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, Teradata and Amazon Redshift, whereas VMware Tanzu Greenplum is most compared with Apache Hadoop, Snowflake, Amazon Redshift, Oracle Exadata and Teradata Cloud Data Warehouse. See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Greenplum report.

See our list of best Data Warehouse vendors and best Cloud 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.