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

12,975 Views
2,206 Comparison Views

92% willing to recommend

TIBCO Live Datamart

Read 2 TIBCO Live Datamart reviews

939 Views
723 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, Teradata, Google and others in Cloud Data Warehouse.

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

Buyer's Guide

Cloud Data Warehouse

June 2026

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Helped 900,838 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 (4th), Cloud Data Warehouse (5th)

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

"The most valuable part of this product is the ease of use, as it is easy to use and rather intuitive, and because it is easy to use, you can do things with it easily, making your work easier and therefore more valuable."

"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

"Azure Data Factory is a low code, no code platform, which is helpful."

"Azure Data Factory is a very easy to use tool."

"It's a good tool, a good product that does what it's supposed to do well, which is ingesting data from a source to your target, to another cloud, to another source."

"The most valuable feature of Azure Data Factory is that it has a good combination of flexibility, fine-tuning, automation, and good monitoring."

"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."

"The overall performance is quite good."

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 has a powerful aggregating feature"

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

Cons

"I find that Azure Data Factory is still maturing, so there are issues."

"I do not have any notes for improvement."

"There aren't many third-party extensions or plugins available in the solution."

"The solution can be improved by decreasing the warmup time which currently can take up to five minutes."

"On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels."

"The product could provide more ways to import and export data."

"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."

"There is no built-in pipeline exit activity when encountering an error."

More Azure Data Factory cons

"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."

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

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

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."

"I would not say that this product is overly expensive."

"I don't see a cost; it appears to be included in general support."

"Pricing appears to be reasonable in my opinion."

"I rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

"Our licensing fees are approximately 15,000 ($150 USD) per month."

"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."

"It's not particularly expensive."

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

12%

Computer Software Company

Manufacturing 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...

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...

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Comparisons

Snowflake vs Azure Data Factory

Compared 5% of the time

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

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

VMware Tanzu Data Solutions vs TIBCO Live Datamart

Compared 9% of the time

Snowflake vs TIBCO Live Datamart

Compared 9% of the time

OpenText Analytics Database (Vertica) vs TIBCO Live Datamart

Compared 8% of the time

Kovair Data Lake vs TIBCO Live Datamart

Compared 7% of the time

Snowflake Analytics vs TIBCO Live Datamart

Compared 3% of the time

More TIBCO Live Datamart Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2026

Download Azure Data Factory product report

Buyer's Guide

Data Warehouse

June 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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