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Microsoft Parallel Data Warehouse vs TIBCO Live Datamart comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

Review summaries and opinions

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

Categories and Ranking

Microsoft Parallel Data War...
Ranking in Data Warehouse
9th
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
40
Ranking in other categories
No ranking in other categories
TIBCO Live Datamart
Ranking in Data Warehouse
21st
Average Rating
9.0
Reviews Sentiment
7.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 3.5%, up from 1.4% compared to the previous year. The mindshare of TIBCO Live Datamart is 2.4%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Microsoft Parallel Data Warehouse3.5%
TIBCO Live Datamart2.4%
Other94.1%
Data Warehouse
 

Featured Reviews

reviewer2254953 - PeerSpot reviewer
Service Desk Administrator at a real estate/law firm with 1,001-5,000 employees
Virtual machines have handled large data and supported growth but pricing still needs improvement
I believe the product is pretty fast. When I have used it, it is handy. The integration with other Azure products is good and integrates well. Microsoft Parallel Data Warehouse's security measures help ensure our sensitive data protection during analysis through measures such as encryption. Its scalability is impressive as it scales up and down really well. We go from a couple of users to tons of users all the time, and it scales and handles things really well. One of the major benefits with this product is that it's Microsoft, which is one of the best ones, and it's just plug and play.
Mohsin Pathan - PeerSpot reviewer
Associate Vice President - Solutions, presales & services at Bahwan CyberTek
Standout features are real-time dashboards and powerful aggregation
This product has a powerful aggregating feature which is great. It also has its own APIs. Whenever the data comes in, it can be streamed out anywhere. It's the only solution that provides real-time dashboards. Tableau doesn't have this feature. The three variants of historical data, real-time data and predicted data from Spitfire, give more strength to LiveDatamart without any dependency on other products. The product is easy to set up with very low maintenance required.

Quotes from Members

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

Pros

"The most valuable feature for me is querying."
"In our economic situation, the price is really the most important consideration, and it is not a pricey product compared to other data warehouse solutions like Oracle and similar products, as it is less expensive but still achieves our goals and fulfills all our needs, so it is a comfortable solution for us and we can afford the price."
"MPP processing gives us the ability to distribute large data sets across nodes."
"Its scalability is impressive as it scales up and down really well, we go from a couple of users to tons of users all the time, and it scales and handles things really well."
"The most valuable features are the performance and usability."
"It is not a pricey product compared to other data warehouse solutions."
"It performs very well overall."
"It is a very stable database."
"The three variants of historical data, real-time data and predicted data from Spitfire, give more strength to LiveDatamart without any dependency on other products."
"The solution is mature and stable, even more so since it was acquired by TIBCO."
"You can create your own rules that include mathematic calculations."
"The solution has a powerful aggregating feature"
 

Cons

"​Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The ETL designing process could be optimized for better efficiency."
"This tool needs a lot of memory for processing."
"They need to incorporate a machine learning engine."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"The initial setup of this solution is complex and can be improved."
"The query is slow if we don't optimize it."
"Live Datamart runs on JVM which only holds Java and only 60 GB of data. If you try to get more out of it than that, it crashes."
"Improvements need to be made on the load balancing side."
"The solution's setup could be quicker and easier."
 

Pricing and Cost Advice

"Technical support is an additional fee and is expensive."
"I think the program is well-priced compared to the other offerings that are out in the market."
"The solution is cost-effective."
"They offer an annual subscription. The pricing depends on the size of the environments."
"All the features that we use do not require any additional subscription or yearly fees."
"The solution's pricing is fairly decent for organizations with huge data sizes."
"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."
"The tool could be expensive if we need to manage a lot of data."
"The solution might be considered a bit expensive because it competes with open-source products."
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Top Industries

By visitors reading reviews
Construction Company
22%
Financial Services Firm
13%
Manufacturing Company
10%
Outsourcing Company
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise6
Large Enterprise22
No data available
 

Questions from the Community

What needs improvement with Microsoft Parallel Data Warehouse?
The pricing could be better; I think it actually just went up.
What is your primary use case for Microsoft Parallel Data Warehouse?
The basic use case for us is virtual machines. In real estate, we use it for our operations. They handle large data sets well, and the performance is good during those times.
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Also Known As

Microsoft PDW, SQL Server Data Warehouse, Microsoft SQL Server Parallel Data Warehouse, MS Parallel Data Warehouse
Streambase, TIBCO LiveView Data Mart
 

Overview

 

Sample Customers

Auckland Transport, Erste Bank Group, Urban Software Institute, NJVC, Sheraton Hotels and Resorts, Tata Steel Europe
Aerospace Corporation, Balfour Beatty Infrastructure Services, Banco Sabadell, Bolton Borough Council
Find out what your peers are saying about Microsoft Parallel Data Warehouse vs. TIBCO Live Datamart and other solutions. Updated: October 2026.
917,433 professionals have used our research since 2012.