Azure Data Factory vs TIBCO Live Datamart comparison

Why PeerSpot?

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 97 Azure Data Factory reviews

15,321 Views
2,758 Comparison Views

92% willing to recommend

TIBCO Live Datamart

Read 2 TIBCO Live Datamart reviews

1,412 Views
1,115 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 what your peers are saying about Snowflake Computing, Google, Databricks and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: September 2026).

Buyer's Guide

Cloud Data Warehouse

September 2026

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Helped 915,341 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 (6th), Cloud Data Warehouse (6th)

TIBCO Live Datamart

Average Rating

9.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (21st)

Featured Reviews

Kunal Das

Test Engineer at Happiest Minds Technologies

Drag-and-drop pipelines have saved days of work and now automate data movement and backfilling

If the AI features were more improved so that I don't have to provide each and every detail, Azure Data Factory could be improved in a much better way by improving the AI features. For example, if I want to fetch any data from a raw source, I need to provide each and every detail. But if I am just uploading my raw data and if AI will sync with that data, it can analyze that data and give me proper suggestions on how that should be done in a proper way. Automatic suggestions could improve in a much better way. As I have mentioned, the AI features as well as more drag-and-drop activities could be improved. If I am making a pipeline, it should give me suggestions, such as which activity should be used, so that I don't have to remember each activity. If I have used one activity, I shouldn't have to remember what activity should I use next. It should give auto-suggestions. That is why I have given a nine out of 10. Currently, I don't know about its governance and security, but in view of its improvement, I think Azure Data Factory should improve in these areas. As I already mentioned, the AI features should be improved. Also, the auto-suggestion features should also improve.

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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

"In terms of my personal experience, it works fine."

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

"The most valuable feature I have found at Azure Data Factory is the data flow function."

"The best part of this product is the extraction, transformation, and load."

"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."

"Data Factory's most valuable feature is Copy Activity."

"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."

"When it comes to our business requirements, this solution has worked well for us. However, we have not stretched it to the limit."

More Azure Data Factory pros

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

"The solution has a powerful aggregating feature"

Cons

"I did not see any positive impact from Azure Data Factory overall."

"Customer service is not satisfactory. Third-party personnel handle support and rely on a knowledge repository."

"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."

"The performance could be better. It would be better if Azure Data Factory could handle a higher load. I have heard that it can get overloaded, and it can't handle it."

"The setup and configuration process could be simplified."

"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."

"It's essentially just a black box. There is some monitoring that can be done, but when something goes wrong, even simple fixes are difficult to troubleshoot."

"When we initiated the cluster, it took some time to start the process."

More Azure Data Factory cons

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

"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."

Pricing and Cost Advice

"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."

"The pricing is a bit on the higher end."

"Data Factory is affordable."

"Pricing is comparable, it's somewhere in the middle."

"Data Factory is expensive."

"It's not particularly expensive."

"The solution is cheap."

"Azure products generally offer competitive pricing, suitable for diverse budget considerations."

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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915,341 professionals have used our research since 2012.

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	64

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...

See all answers

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...

See all answers

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Comparisons

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Compared 3% of the time

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Compared 10% of the time

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Compared 9% of the time

VMware Tanzu Data Solutions vs TIBCO Live Datamart

Compared 8% of the time

Oracle Exadata vs TIBCO Live Datamart

Compared 7% of the time

Snowflake Analytics vs TIBCO Live Datamart

Compared 2% of the time

More TIBCO Live Datamart Competitors

Product Reports

Buyer's Guide

Azure Data Factory

October 2026

Download Azure Data Factory product report

Buyer's Guide

Data Warehouse

September 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

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