Try our new research platform with insights from 80,000+ expert users

Azure Data Factory vs TIBCO Scribe comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (3rd)
TIBCO Scribe
Ranking in Data Integration
51st
Average Rating
6.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.1%, down from 13.3% compared to the previous year. The mindshare of TIBCO Scribe is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Camilo Velasco - PeerSpot reviewer
Oct 27, 2022
No deployment cost, quick implementation, pay only for the processing time and data
The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…
GouravSuri - PeerSpot reviewer
Feb 13, 2024
A cloud solution that has a lot of connectors, but it should provide better documentation and scenario-based samples
TIBCO Scribe is used to do some out-of-the-box integration with some packaged products. TIBCO Scribe is a cloud solution that has a lot of connectors, like REST connectors and database connectors to other available products like Dropbox. It has a cloud deployment. TIBCO Scribe is suitable for…

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 aspect is the copy capability."
"We use the solution to move data from on-premises to the cloud."
"We have found the bulk load feature very valuable."
"The data flows were beneficial, allowing us to perform multiple transformations."
"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."
"The solution is okay."
"We haven't had any issues connecting it to other products."
"The scalability of the product is impressive."
"The most valuable feature of TIBCO Scribe is the connectors available to various products."
 

Cons

"There aren't many third-party extensions or plugins available in the solution."
"Data Factory could be improved in terms of data transformations by adding more metadata extractions."
"Data Factory could be improved by eliminating the need for a physical data area. We have to extract data using Data Factory, then create a staging database for it with Azure SQL, which is very, very expensive. Another improvement would be lowering the licensing cost."
"The main challenge with implementing Azure Data Factory is that it processes data in batches, not near real-time. To achieve near real-time processing, we need to schedule updates more frequently, which can be an issue. Its interface needs to be lighter."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"The product's technical support has certain shortcomings, making it an area where improvements are required."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."
"The solution should provide better documentation and scenario-based samples."
 

Pricing and Cost Advice

"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Pricing is comparable, it's somewhere in the middle."
"I would rate Data Factory's pricing nine out of ten."
"Data Factory is affordable."
"The price you pay is determined by how much you use it."
"Azure products generally offer competitive pricing, suitable for diverse budget considerations."
"The pricing model is based on usage and is not cheap."
"It's not particularly expensive."
Information not available
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
814,763 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
21%
Computer Software Company
19%
Government
12%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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.
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...
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...
What do you like most about TIBCO Scribe?
The most valuable feature of TIBCO Scribe is the connectors available to various products.
What needs improvement with TIBCO Scribe?
The solution should provide better documentation and scenario-based samples.
What is your primary use case for TIBCO Scribe?
TIBCO Scribe is used to do some out-of-the-box integration with some packaged products. TIBCO Scribe is a cloud solution that has a lot of connectors, like REST connectors and database connectors t...
 

Also Known As

No data available
Scribe
 

Learn More

 

Overview

 

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
Armanino, Oklahoma City Thunder, Texas Rangers, Tata Technologies, BenefAction, Indianapolis Motor Speedway, Atdec, Dynasplint Systems
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration. Updated: October 2024.
814,763 professionals have used our research since 2012.