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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
8th
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
40
Ranking in other categories
No ranking in other categories
TIBCO Live Datamart
Ranking in Data Warehouse
23rd
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 2025, in the Data Warehouse category, the mindshare of Apache Hadoop is 4.8%, down from 4.9% compared to the previous year. The mindshare of TIBCO Live Datamart is 0.9%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

Sushil Arya - PeerSpot reviewer
Provides ease of integration with the IT workflow of a business
When working with Kafka, I saw that the data came in an incremental order. The incremental data processing part is still not very effective in Apache Hadoop. If the data is already there, it can be processed very effectively, especially if the data is coming in every second. If you want to know the location of some data every second, then such data is not processed effectively in Apache Hadoop. I can say that one of the features where improvements are required revolves around the licensing cost of the tool. If the tool can build some licensing structures in a pay-per-use manner, organizations can get the look and feel of Apache Hadoop. Apache Hadoop can offer a licensing structure of the product that can be seen as similar to how AWS operates. Apache Hadoop can look into the capability of processing incremental data. The tool's setup process can be a scope of improvement. Also, it is not very simple because while doing the setup, we need to do all the server settings, including port listing and firewall configurations. If we look at other products on the market, then they can be made simpler. There are certain shortcomings when it comes to the product's technical support part, making it an area where improvements are required. The time frame for the resolution is an area that needs to be improved. The overall communication part of the technical support team also needs improvement.
Mohsin Pathan - PeerSpot reviewer
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

"​​Data ingestion: It has rapid speed, if Apache Accumulo is used."
"It is a reliable product."
"The platform's quick data processing capabilities have been instrumental in supporting our AI-driven projects."
"The scalability of Apache Hadoop is very good."
"It's good for storing historical data and handling analytics on a huge amount of data."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database."
"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"The solution has a powerful aggregating feature"
"You can create your own rules that include mathematic calculations."
 

Cons

"The stability of the solution needs improvement."
"It would be good to have more advanced analytics tools."
"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"The product's availability of comprehensive training materials could be improved for faster onboarding and skill development among team members."
"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."
"Hadoop lacks OLAP capabilities."
"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 upgrade path should be improved because it is not as easy as it should be."
"Improvements need to be made on the load balancing side."
"The solution's setup could be quicker and easier."
 

Pricing and Cost Advice

"​There are no licensing costs involved, hence money is saved on the software infrastructure​."
"We just use the free version."
"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 price of Apache Hadoop could be less expensive."
"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."
"The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
"It's reasonable, but there's room for improvement in cost-effectiveness."
"This is a low cost and powerful solution."
"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
35%
Computer Software Company
11%
University
6%
Energy/Utilities Company
5%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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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Comparisons

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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: August 2025.
865,384 professionals have used our research since 2012.