Azure Data Factory vs TIBCO Live Datamart comparison

Microsoft and TIBCO are both solutions in the Cloud Data Warehouse category. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

Azure Data Factory

Read 96 Azure Data Factory reviews

14,099 Views
2,538 Comparison Views

92% willing to recommend

TIBCO Live Datamart

Read 2 TIBCO Live Datamart reviews

1,122 Views
864 Comparison Views

100% willing to recommend

Azure Data Factory

TIBCO Live Datamart

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and TIBCO Live Datamart based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. TIBCO Live Datamart Report (Updated: August 2026).

Buyer's Guide

Azure Data Factory vs. TIBCO Live Datamart

August 2026

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Helped 909,679 peers since 2012

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

Azure Data Factory

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (5th), Cloud Data Warehouse (7th)

TIBCO Live Datamart

Average Rating

9.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (21st)

Featured Reviews

KandaswamyMuthukrishnan

Director at a computer software company with 1,001-5,000 employees

Integrates diverse data sources and streamlines ETL processes effectively

Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.

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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

"From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature."

"The features that I've found most valuable, in order: That it is a complete ETL Solution, the second one is interface, the third one workflow, and the fourth one ease of use."

"Instead of individual people reviewing these files, we were able to automate the ingestion process, which saved a bunch of time and hours of repeated manual work."

"The data copy template is a valuable feature."

"The overall architecture has been very valuable to us, as it has allowed us to scale up pretty rapidly."

"It is beneficial that the solution is written with Spark as the back end."

"Data Factory's best features include its data source connections, GUI for building data pipelines, and target loading within Azure."

"The stability of the Azure Data Factory is very good."

More Azure Data Factory pros

"The solution is mature and stable, even more so since it was acquired by TIBCO."

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

"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 has a powerful aggregating feature"

Cons

"There's space for improvement in the development process of the data pipelines."

"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."

"Data Factory's performance during heavy data processing isn't great."

"Azure Data Factory could benefit from improvements in its monitoring capabilities to provide a more robust feature set. Enhancing the ease of deployment to higher environments within Azure DevOps would be beneficial, as the current process often requires extensive scripting and pipeline development. It is also known for the flexibility of the data flow feature, particularly in supporting more dynamic data-driven architectures. These enhancements would contribute to a more seamless and efficient workflow within GitLab."

"My only problem is the seamless connectivity with various other databases, for example, SAP."

"This solution is currently only useful for basic data movement and file extractions, which we would like to see developed to handle more complex data transformations."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

"The initial setup is not very straightforward."

More Azure Data Factory cons

"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

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"The solution is cheap."

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"The price you pay is determined by how much you use it."

"This is a cost-effective solution."

"Azure Data Factory gives better value for the price than other solutions such as Informatica."

"I would rate Data Factory's pricing nine out of ten."

"Product is priced at the market standard."

More Azure Data Factory 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

11%

Manufacturing Company

Computer Software Company

Construction Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	63

No data available

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Azure Data Factory compare with Informatica PowerCenter?

Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...

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How does Azure Data Factory compare with Informatica Cloud Data Integration?

Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...

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Comparisons

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Azure Data Factory

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Snowflake vs TIBCO Live Datamart

Compared 10% of the time

VMware Tanzu Data Solutions vs TIBCO Live Datamart

Compared 10% of the time

OpenText Analytics Database (Vertica) vs TIBCO Live Datamart

Compared 7% of the time

Kovair Data Lake vs TIBCO Live Datamart

Compared 6% of the time

Apache Hadoop vs TIBCO Live Datamart

Compared 3% of the time

More TIBCO Live Datamart Competitors

Product Reports

Buyer's Guide

Azure Data Factory

August 2026

Download Azure Data Factory product report

Buyer's Guide

Data Warehouse

August 2026

Download TIBCO Live Datamart product report

Also Known As

No data available

Streambase, TIBCO LiveView Data Mart

Overview

Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

Microsoft

TIBCO Live Datamart is a dynamic data visualization platform that provides real-time insights by continuously analyzing streaming data, enabling businesses to make timely decisions.

This powerful platform allows for interactive, real-time data processing and monitoring, greatly enhancing decision-making capabilities by turning data into an actionable asset. It caters to industries requiring rapid responses by enabling a live view into streaming data, which can be customized to specific requirements and scales seamlessly with growing data needs.

What key features define TIBCO Live Datamart?

Real-time Data Streaming: Delivers instant updates and insights from continuous data streams.
Interactive Dashboards: Offers customizable dashboards for personalized data visualization.
Event-driven Architecture: Helps in identifying and responding to events as they occur.
Scalability: Supports expanding data workflows without losing performance.

What benefits should users look for in TIBCO Live Datamart reviews?

Increased Efficiency: Streamlines data processing to improve workflow efficiency.
Enhanced Decision-making: Provides immediate insights for quick strategic decisions.
Customization Flexibility: Allows for tailored data views catering to specific needs.
Cost-effective: Reduces operational costs by optimizing data management processes.

TIBCO Live Datamart is often implemented in industries like finance and telecommunications, where rapid decision-making is essential. For example, in finance, it tracks stock market data in real-time, enabling traders to react quickly to market changes. In telecommunications, it monitors network traffic, ensuring optimal performance and prompt issue resolution.

TIBCO

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa

Aerospace Corporation, Balfour Beatty Infrastructure Services, Banco Sabadell, Bolton Borough Council

Buyer's Guide

Azure Data Factory vs. TIBCO Live Datamart

August 2026

Free Report: Azure Data Factory vs. TIBCO Live Datamart

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