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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
11th
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 June 2026, in the Data Warehouse category, the mindshare of Microsoft Parallel Data Warehouse is 3.2%, up from 1.0% compared to the previous year. The mindshare of TIBCO Live Datamart is 2.3%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Microsoft Parallel Data Warehouse3.2%
TIBCO Live Datamart2.3%
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."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"It handles high volumes of data very well."
"The solution's integration is good."
"Most features on the SQL Server are quite useful to us."
"The biggest advantage of Microsoft Parallel Data Warehouse is the possibility to stop or pause the service because it can be very expensive, and the ability to pause the service when I don't use it is probably the main feature, along with the possibility to handle huge amounts of data, which is quite an interesting capability of the service."
"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."
"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."
"You can create your own rules that include mathematic calculations."
"The solution is mature and stable, even more so since it was acquired by TIBCO."
"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."
 

Cons

"The reporting for certain types of data needs to be improved."
"Scalability can be improved because there are other tools that perform better with very large datasets."
"We'd like to see it be a bit more compatible with other solutions."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The query is slow if we don't optimize it."
"There were scalability issues in that there is a limit to 32 concurrent queries."
"Unlike other MPPs, such as Netezza, this requires excellent expertise in SQL to reap the benefits of using it."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"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

"Technical support is an additional fee and is expensive."
"They offer an annual subscription. The pricing depends on the size of the environments."
"The solution is cost-effective."
"The solution's pricing is fairly decent for organizations with huge data sizes."
"I think the program is well-priced compared to the other offerings that are out in the market."
"The tool could be expensive if we need to manage a lot of data."
"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."
"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
23%
Financial Services Firm
14%
Manufacturing Company
9%
Marketing Services Firm
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.
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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: June 2026.
900,747 professionals have used our research since 2012.