Apache Hadoop vs TIBCO Live Datamart comparison

Apache and TIBCO are both solutions in the Data Warehouse category. Apache is ranked #7 with an average rating of 8.1, while TIBCO is ranked #24. Apache holds a 3.5% mindshare in Data Warehouse, compared to TIBCO’s 1.7% mindshare. Additionally, 89% of Apache users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

Apache Hadoop

Read 41 Apache Hadoop reviews

1,973 Views
1,144 Comparison Views

89% willing to recommend

TIBCO Live Datamart

Read 2 TIBCO Live Datamart reviews

365 Views
285 Comparison Views

100% willing to recommend

Apache Hadoop

TIBCO Live Datamart

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 18, 2024

TIBCO Live Datamart and Apache Hadoop are competing in the data processing platform market, each catering to distinct customer needs. TIBCO Live Datamart holds an advantage in real-time data analytics due to its superior speed and visualization, while Apache Hadoop excels in handling large-scale batch processing because of its scalability.

Features: TIBCO Live Datamart provides a highly interactive real-time data analytics experience, emphasizes efficient data visualization, and processes live streaming data swiftly. Apache Hadoop offers immense scalability with a distributed computing model, supports robust data storage, and manages large data volumes efficiently.

Ease of Deployment and Customer Service: TIBCO Live Datamart focuses on user-friendly deployment with streamlined processes, ensuring quick setup and ease of use. It provides personalized customer support. Apache Hadoop may require more technical expertise for deployment due to its complex setup but offers flexibility in configurations. Its customer service model is community-driven, relying on open-source contributions.

Pricing and ROI: TIBCO Live Datamart generally involves higher upfront costs but offers quicker ROI for businesses needing immediate data insights. Apache Hadoop is a lower-cost alternative with its open-source nature, providing flexible scaling and potentially higher ROI over time as data volumes increase, making it cost-effective for long-term data handling.

To learn more, read our detailed Apache Hadoop vs. TIBCO Live Datamart Report (Updated: January 2026).

Buyer's Guide

Apache Hadoop vs. TIBCO Live Datamart

January 2026

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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

Ranking in other categories

No ranking in other categories

TIBCO Live Datamart

Ranking in Data Warehouse

24th

Average Rating

9.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.5%, down from 4.3% compared to the previous year. The mindshare of TIBCO Live Datamart is 1.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Market Share Distribution
Product	Market Share (%)
Apache Hadoop	3.5%
TIBCO Live Datamart	1.7%
Other	94.8%

Data Warehouse

Featured Reviews

Nick Rapoport

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.

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Mohsin Pathan

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.

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Quotes from Members

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

Pros

"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."

"It's open-source, so it's very cost-effective."

"The performance is pretty good."

"Its flexibility in handling and storing large volumes of data is particularly beneficial, as is its resilience, which ensures data redundancy and fault tolerance."

"The platform's quick data processing capabilities have been instrumental in supporting our AI-driven projects."

"The most valuable feature is scalability and the possibility to work with major information and open source capability."

"It's good for storing historical data and handling analytics on a huge amount of data."

"The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable."

More Apache Hadoop pros

"You can create your own rules that include mathematic calculations."

"The solution has a powerful aggregating feature"

Cons

"In certain cases, the configurations for dealing with data skewness do not make any sense."

"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 solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."

"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."

"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."

"Based on our needs, we would like to see a tool for data visualization and enhanced Ambari for management, plus a pre-built IoT hub/model. These would reduce our efforts and the time needed to prove to a customer that this will help them."

"I think more of the solution needs to be focused around the panel processing and retrieval of data."

"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."

More Apache Hadoop cons

"Improvements need to be made on the load balancing side."

"The solution's setup could be quicker and easier."

Pricing and Cost Advice

"This is a low cost and powerful solution."

"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."

"We just use the free version."

"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."

"The price of Apache Hadoop could be less expensive."

"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."

"We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."

More Apache Hadoop pricing and cost advice

"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

34%

Computer Software Company

University

Manufacturing Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	8
Large Enterprise	21

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.

See all answers

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...

See all answers

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...

See all answers

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Comparisons

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Compared 13% of the time

Databricks vs Apache Hadoop

Compared 9% of the time

Teradata vs Apache Hadoop

Compared 9% of the time

Oracle Exadata vs Apache Hadoop

Compared 8% of the time

Microsoft Azure Synapse Analytics vs Apache Hadoop

Compared 7% of the time

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Kovair Data Lake vs TIBCO Live Datamart

Compared 20% of the time

Infobright DB vs TIBCO Live Datamart

Compared 16% of the time

Teradata vs TIBCO Live Datamart

Compared 12% of the time

VMware Tanzu Data Solutions vs TIBCO Live Datamart

Compared 12% of the time

Oracle Database Appliance vs TIBCO Live Datamart

Compared 10% of the time

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Product Reports

Buyer's Guide

Apache Hadoop

January 2026

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Buyer's Guide

Data Warehouse

January 2026

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Also Known As

No data available

Streambase, TIBCO LiveView Data Mart

Overview

The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

Apache

TIBCO Live Datamart is the industry’s first ultra fast continuous query processing engine made for live operational intelligence. It supports real-time data from anywhere, consumes live streaming data, and can connect to historical data in monolithic and edge systems by using either included data adapters or by leveraging the TIBCO integration platform. With its real-time computations against high-speed streaming data and continuous pushing of results to live queries, TIBCO Live Datamart offers users faster time to actionable insight and automated action.

TIBCO

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

Buyer's Guide

Apache Hadoop vs. TIBCO Live Datamart

January 2026

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