Microsoft Parallel Data Warehouse vs VMware Tanzu Data Solutions comparison

Microsoft and VMware are both solutions in the Data Warehouse category. Microsoft is ranked #10 with an average rating of 8.3, while VMware is ranked #7 with an average rating of 8.1. Microsoft holds a 1.0% mindshare in Data Warehouse, compared to VMware’s 5.4% mindshare. Additionally, 85% of Microsoft users are willing to recommend the solution, compared to 89% of VMware users who would recommend it.

Microsoft Parallel Data War...

Read 33 Microsoft Parallel Data Warehouse reviews

460 Views
350 Comparison Views

85% willing to recommend

VMware Tanzu Data Solutions

Read 82 VMware Tanzu Data Solutions reviews

1,659 Views
1,360 Comparison Views

89% willing to recommend

Microsoft Parallel Data War...

VMware Tanzu Data Solutions

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Microsoft Parallel Data Warehouse and VMware Tanzu Data Solutions 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 Data Solutions Report (Updated: September 2024).

Buyer's Guide

Microsoft Parallel Data Warehouse vs. VMware Tanzu Data Solutions

September 2024

Download the complete report

Helped 801,394 peers since 2012

Categories and Ranking

Microsoft Parallel Data War...

Ranking in Data Warehouse

10th

Average Rating

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

VMware Tanzu Data Solutions

Ranking in Data Warehouse

7th

Average Rating

8.0

Number of Reviews

Ranking in other categories

Database Development and Management (7th), Relational Databases Tools (9th), Message Queue (MQ) Software (4th)

Mindshare comparison

As of September 2024, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 1.0%, down from 1.3% compared to the previous year. The mindshare of VMware Tanzu Data Solutions is 5.4%, up from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse

Featured Reviews

DJ Kim

CEO at BigxData

Apr 9, 2024

Enhances data management process with efficient integration capabilities

Our customers use Microsoft Parallel Data Warehouse to manage large volumes of data and perform complex queries efficiently. Its performance is generally superior compared to other solutions, aiding in the efficient handling of large-scale data analytics projects The key features impacting our…

Read full review

Erick Karanja

Technical Lead at Cellulant Kenya

Apr 11, 2024

Management interface is cool and offers good features like dead-lettering (DLXs) and more

I like many features in RabbitMQ. Number one, reliability for the messages is key. RabbitMQ ensures your messages are safe. They are not deleted and stuff. Number two, they have a very good feature called Retrying messages – it's all about retries. You can easily retry a message through RabbitMQ. So, if processing fails, you can push the message back into RabbitMQ. Maybe you can re-consume it and so on. They also have features like tags, which we call "dead-lettering (DLXs)." If it's approved, it means the messages have been delivered. If it's false or missing the first time you get it, you can make decisions based on that. The feature assigned to code for it is called the dead-letter queue. Moreover, the management interface is so cool. It's simple. It's able to give us an overview of the messages that have been consumed, pending messages, messages that have been delivered, messages that have been acknowledged, and so on. We can also extend that management to tools like... we can extend the management through, like, Kibana or Grafana

Read full review

Quotes from Members

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

Pros

"It performs very well overall."

"The most valuable feature of this solution is performance."

"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."

"The most valuable feature is the business intelligence (BI) part of it."

"It is a very stable database."

"The solution's integration is good."

"The most valuable features are the performance and usability."

"Data collection and reporting are valuable features of the solution."

More Microsoft Parallel Data Warehouse pros

"The product has been stable and I have never faced any kind of problems with it."

"The message routing is the most valuable feature. It is effective and flexible."

"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."

"It is easy to use. The addition of more queues and more services can be managed very easily."

"Companies can scale the solution, so long as they have server room."

"Helps us to achieve large-scale analytics."

"The solution has really cool features to use. Its management console is excellent. You can utilize plugins to view the performance of the whole service on one network."

"The most valuable feature for us is horizontal scaling."

Cons

"More tools to help designers should be included."

"We find the cost of the solution to be a little high."

"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."

"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."

"The product does not have all of the features that the native products have."

"This solution would be improved with an option for in-memory data analysis."

"The query is slow if we don't optimize it."

"We'd like to see it be a bit more compatible with other solutions."

More Microsoft Parallel Data Warehouse cons

"Implementation takes a long time."

"Their implementation is quite tricky. It's not that easy to implement RabbitMQ as a cluster."

"Other tools besides RabbitMQ provide good TPS and HA."

"The product needs to focus on offering more use case documentation because browsing the internet to find it can be a process filled with struggles."

"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."

"The availability could be better."

"The support feature could benefit from some improvement in terms of accessibility and responsiveness."

"If you're outside IP address range, the clustering no longer has all the features which is problematic."

Pricing and Cost Advice

"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."

"I think the program is well-priced compared to the other offerings that are out in the market."

"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."

"The solution is cost-effective."

"All the features that we use do not require any additional subscription or yearly fees."

"They offer an annual subscription. The pricing depends on the size of the environments."

"Technical support is an additional fee and is expensive."

"It is the best product with best fit for price/performance customer objectives."

"The price is pretty good."

"The pricing is okay."

"The pricing for RabbitMQ is reasonable. It is worth the cost."

"Pricing is good compared to other products. It's fine."

"The solution's pricing is cost-effective as it does not involve significant expenses. Licensing is required only for the server, while clients do not need any licensing. Therefore, it proves to be a cost-efficient option."

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

"On a scale of one to five, with five being the most competitive pricing, I would rate this solution as a four."

More VMware Tanzu Data Solutions pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.

See recommendations

801,394 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

25%

Financial Services Firm

17%

Insurance Company

Government

Financial Services Firm

29%

Computer Software Company

16%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Microsoft Parallel Data Warehouse?

Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time.

See all answers

What is your experience regarding pricing and costs for Microsoft Parallel Data Warehouse?

The solution is cost-effective, especially considering its seamless integration with Azure. However, the cost can be a challenge, particularly for customers who prefer on-premises solutions.

See all answers

What needs improvement with Microsoft Parallel Data Warehouse?

The product scalability needs improvement.

See all answers

How does IBM MQ compare with VMware RabbitMQ?

IBM MQ has a great reputation behind it, and this solution is very robust with great stability. It is easy to use, simple to configure and integrates well with our enterprise ecosystem and protocol...

See all answers

What do you like most about VMware Tanzu Greenplum?

The loading speed is very good.

See all answers

What is your experience regarding pricing and costs for VMware Tanzu Greenplum?

It’s an open-source solution. There are no expenses for using it.

See all answers

Comparisons

Microsoft Azure Synapse Analytics vs Microsoft Parallel Data Warehouse

Compared 47% of the time

Oracle Exadata vs Microsoft Parallel Data Warehouse

Compared 28% of the time

SAP BW4HANA vs Microsoft Parallel Data Warehouse

Compared 26% of the time

More Microsoft Parallel Data Warehouse Competitors

IBM MQ vs VMware Tanzu Data Solutions

Compared 14% of the time

MuleSoft Anypoint Platform vs VMware Tanzu Data Solutions

Compared 10% of the time

Red Hat AMQ vs VMware Tanzu Data Solutions

Compared 9% of the time

Apache Kafka vs VMware Tanzu Data Solutions

Compared 9% of the time

ActiveMQ vs VMware Tanzu Data Solutions

Compared 8% of the time

More VMware Tanzu Data Solutions Competitors

Product Reports

Buyer's Guide

Microsoft Parallel Data Warehouse

August 2024

Microsoft Parallel Data Warehouse report

Download Microsoft Parallel Data Warehouse product report

Buyer's Guide

VMware Tanzu Data Solutions

August 2024

Download VMware Tanzu Data Solutions product report

Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse

Greenplum, Pivotal Greenplum, VMware RabbitMQ, VMware Tanzu GemFire, VMware Postgres

Learn More

Microsoft

VMware

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 is a robust platform tailored for data warehousing, complex analytics, BI applications, and predictive analytics. It excels in scalability, performance, and parallel processing, enhancing data handling efficiency. Users report significant productivity improvements and streamlined operations, making it ideal for comprehensive data solutions.

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

Buyer's Guide

Microsoft Parallel Data Warehouse vs. VMware Tanzu Data Solutions

September 2024

Free Report: Microsoft Parallel Data Warehouse vs. VMware Tanzu Data Solutions

Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. VMware Tanzu Data Solutions and other solutions. Updated: September 2024.

DOWNLOAD NOW

801,394 professionals have used our research since 2012.

See our Microsoft Parallel Data Warehouse vs. VMware Tanzu Data Solutions 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.