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Microsoft Parallel Data Warehouse vs TIBCO Live Datamart comparison

 

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 August 2026, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 3.3%, up from 1.0% compared to the previous year. The mindshare of TIBCO Live Datamart is 2.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Microsoft Parallel Data Warehouse3.3%
TIBCO Live Datamart2.2%
Other94.5%
Data Warehouse
 

Featured Reviews

HassanFatemi - PeerSpot reviewer
CEO at Smart Data-Driven Solutions
Has handled large volumes of data effectively but still needs cost flexibility
There could be improvements on the cost side of Microsoft Parallel Data Warehouse because it is still considered to be quite expensive by a lot of users, and many companies are not interested in solutions with parallel data warehousing due to this expense. Addressing the cost would be the number one area for improvement. Additionally, I have not worked recently with it, so I don't know if this feature already exists, but if it doesn't, having an elastic feature that adjusts the service's power dynamically based on the workload would be beneficial instead of fixing the power at a specific level.
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

"This is a great product for big data analytics as it can challenge other MPPs quite well."
"Data collection and reporting are valuable features of the solution."
"With PDW’s Massively Parallel Processing (MPP) design, queries run in minutes instead of hours, and in seconds instead of minutes in comparison to Symmetric Multi-Processing (SMP) databases."
"Everything about the solution is great."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The interface is very user-friendly."
"Overall, I rate Microsoft Parallel Data Warehouse a nine out of ten."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"You can create your own rules that include mathematic calculations."
"The solution has a powerful aggregating 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 solution is mature and stable, even more so since it was acquired by TIBCO."
 

Cons

"This solution would be improved with an option for in-memory data analysis."
"It needs more compatibility with common BI tools."
"I think that the error messages need to be made more specific."
"The query is slow if we don't optimize it."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"More tools to help designers should be included."
"It is expensive. SQL Data Warehouse is not supported by all versions of SQL Server such as the Express version and therefore becomes unavailable to many limiting its acquisition and use."
"We find the cost of the solution to be a little high."
"Improvements need to be made on the load balancing side."
"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."
"The solution's setup could be quicker and easier."
 

Pricing and Cost Advice

"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."
"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 is cost-effective."
"Technical support is an additional fee and is expensive."
"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 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
24%
Financial Services Firm
14%
Outsourcing Company
8%
Manufacturing Company
8%
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.
Ask a question
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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: August 2026.
908,834 professionals have used our research since 2012.