Azure Data Factory vs Infobright DB comparison

Microsoft and IgniteTech are both solutions in the Cloud Data Warehouse category. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 80% of IgniteTech users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

14,099 Views
2,538 Comparison Views

92% willing to recommend

Infobright DB

Read 10 Infobright DB reviews

2,204 Views
1,146 Comparison Views

80% willing to recommend

Azure Data Factory

Infobright DB

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Executive Summary

We performed a comparison between Azure Data Factory and Infobright DB 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: August 2026).

Buyer's Guide

Cloud Data Warehouse

August 2026

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Helped 909,725 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)

Infobright DB

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Relational Databases Tools (36th), Data Warehouse (19th)

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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it_user708987

MySQL DBA at a financial services firm with 51-200 employees

Excellent reporting server that is compatible with MySQL

We ran into some quirks that Infobright had. We interacted with Infobright's support and were able to resolve them. There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance). This would mean that redundancy is something you need to implement yourself.

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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

"I like the basic features like the data-based pipelines."

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

"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."

"My only advice is that Azure Data Factory, particularly for data ingestion, is a good choice."

"The most valuable features of Azure Data Factory are the flexibility, ability to move data at scale, and the integrations with different Azure components."

"We use the solution to move data from on-premises to the cloud."

"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."

"The trigger scheduling options are decently robust."

More Azure Data Factory pros

"A valuable feature was the use of a columnar database for large, ever-growing, big datasets."

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"

"The high compression and the relatively fast load for a free product."

"ICE helped us improve the speed for the “group-by” query by 10x."

"It is very straightforward and easy to work with."

"Infobright allowed us to reduce the number of moving parts and complexity that we had while providing good performance to produce our reports."

"Infobright gave us the ability to avoid significant changes in our data structure and just use Infobright like BigDataMySql."

"We now have multiple times faster queries in comparison to MS SQL."

More Infobright DB pros

Cons

"Currently, smaller businesses face a disadvantage in terms of pricing, and reducing costs could address this issue."

"We have experienced some issues with the integration. This is an area that needs improvement."

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

"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."

"It would be better if it had machine learning capabilities."

"DataStage is easier to learn than Data Factory because it's more visual."

"The stability of Azure as a PaaS could be improved."

"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."

More Azure Data Factory cons

"There was no scalability at all. Infobright didn't permit any changes in tables."

"After all the re-work to our product to remove as much reliance on Infobright, and the extra hardware costs we had to absorb, there was definitely a negative return on investment."

"There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance)."

"When running a complex subquery, the system hangs without giving the user any response."

"MPP, distributed processing!!! And better integration with Hadoop."

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."

"On the contrary, we have switched back to the MS SSAS Tabular Model, because of pricing policy."

"We didn’t purchase the Enterprise Edition because it was too expensive for a product that wasn’t going to replace our main DWH database (Oracle), but was, somehow, only an addition for it."

Pricing and Cost Advice

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

"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."

"The price is fair."

"The solution's pricing is competitive."

"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."

"Pricing appears to be reasonable in my opinion."

"The cost is based on the amount of data sets that we are ingesting."

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

More Azure Data Factory pricing and cost advice

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

Manufacturing Company

18%

Construction Company

16%

Comms Service Provider

11%

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	21
Large Enterprise	64

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	2

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 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

VMware Tanzu Data Solutions vs Infobright DB

Compared 10% of the time

MySQL vs Infobright DB

Compared 8% of the time

OpenText Analytics Database (Vertica) vs Infobright DB

Compared 7% of the time

SQL Server vs Infobright DB

Compared 5% of the time

Amazon RDS on Outposts vs Infobright DB

Compared 5% of the time

More Infobright DB Competitors

Product Reports

Buyer's Guide

Azure Data Factory

August 2026

Download Azure Data Factory product report

Buyer's Guide

Infobright DB

August 2026

Download Infobright DB product report

Also Known As

No data available

Infobright

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

Infobright DB is an established column-oriented database management system known for its analytical prowess in storing and managing large volumes of data efficiently.

Designed to handle intense data workloads, Infobright DB supports data warehousing and business intelligence operations. It is favored for its efficient use of storage and processing capabilities, making it an ideal choice for companies analyzing massive datasets. Infobright DB's analytic algorithms and data compression techniques make it suitable for enterprises seeking to process queries rapidly.

What are the essential features of Infobright DB?

Columnar Storage: Optimizes read performance by storing data in columns.
Data Compression: Reduces storage needs with advanced compression techniques.
Query Performance: Enhances speed through automatic query optimization.
Scalability: Handles terabytes of data without compromising performance.
Self-Management: Minimizes administrative tasks with automated maintenance.

What benefits should users consider when evaluating Infobright DB?

Cost Efficiency: Lower storage costs due to high data compression.
Improved Analytics: Faster data insights lead to better decision-making.
Resource Optimization: Requires fewer resources for maintenance and scaling.
Operational Simplicity: Ease of integration with existing systems.

Infobright DB is prevalent in industries like finance and telecommunications, providing robust data analysis and reporting capabilities. Its ability to manage large datasets efficiently makes it suitable for sectors needing real-time analytics and deep data insights.

IgniteTech

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

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango

Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: August 2026.

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