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Apache Hadoop 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

Apache Hadoop
Ranking in Data Warehouse
7th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
41
Ranking in other categories
No ranking in other categories
TIBCO Live Datamart
Ranking in Data Warehouse
22nd
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 March 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.7%, down from 4.3% compared to the previous year. The mindshare of TIBCO Live Datamart is 2.1%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Apache Hadoop3.7%
TIBCO Live Datamart2.1%
Other94.2%
Data Warehouse
 

Featured Reviews

NR
Financial Advisor at a financial services firm with 10,001+ employees
Reliable performance maintained but requires ongoing management and support
Hadoop was used for years, but there were problems since the people who originally set it up left the firm. The group that owned it later didn't have the technical resources to properly maintain it. Although there was nothing wrong with Hadoop itself, issues arose without proper management and upgrades.
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

"Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges."
"The platform's quick data processing capabilities have been instrumental in supporting our AI-driven projects."
"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"Data ingestion: It has rapid speed, if Apache Accumulo is used."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics."
"One valuable feature is that we can download data."
"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"You can create your own rules that include mathematic calculations."
"The solution has a powerful aggregating feature"
 

Cons

"It needs better user interface (UI) functionalities."
"Once we had an issue with stability, due to a complete shutdown of a cluster."
"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."
"Since it is an open-source product, there won't be much support."
"Currently, Apache Oozie 4.0.1 has some compatibility issues with Hadoop 2.5.2."
"I would like to see more direct integration of visualization applications."
"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"The solution's setup could be quicker and easier."
"Improvements need to be made on the load balancing side."
 

Pricing and Cost Advice

"The price of Apache Hadoop could be less expensive."
"The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
"The product is open-source, but some associated licensing fees depend on the subscription level."
"​There are no licensing costs involved, hence money is saved on the software infrastructure​."
"For any big enterprise the costs can be handled, and it is suitable for big enterprises because the scale of data is large. For medium and small enterprises, the tool is on the high-price side."
"We just use the free version."
"If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
"Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
"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
Financial Services Firm
31%
Computer Software Company
6%
Government
5%
University
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise8
Large Enterprise21
No data available
 

Questions from the Community

What do you like most about Apache Hadoop?
It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
What is your experience regarding pricing and costs for Apache Hadoop?
The product is open-source, but some associated licensing fees depend on the subscription level. While it might be free for students, organizations typically need to pay for their subscriptions. Th...
What needs improvement with Apache Hadoop?
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it. This wa...
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Also Known As

No data available
Streambase, TIBCO LiveView Data Mart
 

Overview

 

Sample Customers

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
Aerospace Corporation, Balfour Beatty Infrastructure Services, Banco Sabadell, Bolton Borough Council
Find out what your peers are saying about Apache Hadoop vs. TIBCO Live Datamart and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.