Azure Data Factory vs Equalum [EOL] comparison

Microsoft and Google are both solutions in the Data Integration category. Microsoft is ranked #3 with an average rating of 8.2, while Google is ranked #62. Microsoft holds a 3.2% mindshare in DI, compared to Google’s 0.6% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Azure Data Factory

Read 93 Azure Data Factory reviews

11,197 Views
7,838 Comparison Views

92% willing to recommend

Equalum [EOL]

Read 7 Equalum [EOL] reviews

952 Views
628 Comparison Views

100% willing to recommend

Azure Data Factory

Equalum [EOL]

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 15, 2026

Azure Data Factory and Equalum compete in the data integration category. Azure Data Factory has a competitive edge in integration capabilities across Azure components, while Equalum stands out in real-time data streaming efficiency using Kafka and Spark.

Features: Azure Data Factory offers a wide range of connectors, robust integration capabilities, and a flexible data flow architecture that facilitates complex ETL processes. Equalum provides efficient CDC replication, streaming ETL, and batch ETL on a single platform, with a no-code interface simplifying data processes across various environments.

Room for Improvement: Azure Data Factory users desire better integration with existing Azure services, enhanced Oracle support, and improved data transformation capabilities. They also seek a more intuitive user experience and clearer pricing. Equalum users suggest improved documentation, real-time scheduling enhancements, and stronger replication and database integration, along with faster UI speed and more vendor integrations.

Ease of Deployment and Customer Service: Azure Data Factory leverages Azure's extensive infrastructure, primarily in public and hybrid environments, with generally satisfactory technical support needing improvement in response times and expertise. Equalum is versatile across on-premises, public, and hybrid environments and is praised for its no-code interface and reliable support, sharing similar challenges in support responsiveness and multi-cloud integration complexities.

Pricing and ROI: Azure Data Factory follows a pay-as-you-go model, aligning with cloud industry standards, though its complexity and potential cost increases concern users. Nevertheless, it is generally seen as cost-effective. Equalum's component-based pricing is seen as straightforward but comparatively expensive, justified by time savings and operational efficiency. Both solutions offer significant ROI through processing efficiency and cost reduction, albeit through different pricing structures.

To learn more, read our detailed Azure Data Factory vs. Equalum [EOL] Report (Updated: December 2025).

Buyer's Guide

Azure Data Factory vs. Equalum [EOL]

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

6.4

Azure Data Factory offers significant ROI, efficiency, and cost savings, with users highlighting benefits in data integration and migration.

Sentiment score

6.9

Equalum EOL accelerates data delivery, reduces development needs, enhances integration speed, and offers cost-saving by streamlining processes.

Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.

Deena Thayalan

Data Engineer at Vthinktechnologies

For more quotes and insights, download the Azure Data Factory report

No quotes available

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Customer Service

Sentiment score

6.3

Azure Data Factory support is generally satisfactory, with responsive assistance and strong community resources enhancing user satisfaction.

Sentiment score

8.2

Equalum's customer service is praised for responsiveness, technical expertise, multilingual support, and significant upgrades enhancing user experience.

The technical support from Microsoft is rated an eight out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

The technical support is responsive and helpful

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

The technical support for Azure Data Factory is generally acceptable.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

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No quotes available

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Scalability Issues

Sentiment score

7.4

Azure Data Factory offers scalable cloud-based solutions for diverse operations, despite some third-party integration limitations and use case challenges.

Sentiment score

7.7

Equalum provides scalable data flow solutions with controllable environments, supporting both vertical and horizontal expansion for growing businesses.

Azure Data Factory is highly scalable.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

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No quotes available

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Stability Issues

Sentiment score

7.8

Azure Data Factory is considered highly stable and reliable, though minor issues can occur, mostly in development environments.

Sentiment score

7.5

Equalum offers strong stability and performance, with rare network issues, while navigating initial phases presents minor challenges.

The solution has a high level of stability, roughly a nine out of ten.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

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No quotes available

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Room For Improvement

Azure Data Factory needs better integration, UI, documentation, data handling, pricing transparency, real-time processing, connectivity, and scheduling.

Equalum EOL requires improvements in notifications, connectors, documentation, UI, deployment, security, replication, and database integration.

The inability to connect local VMs and local servers into the data flow is a limitation that prevents giving Azure Data Factory a perfect score.

Deena Thayalan

Data Engineer at Vthinktechnologies

There is a problem with the integration with third-party solutions, particularly with SAP.

Rama Subba Reddy Thavva

Solution Architect at Mercedes-Benz AG

Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters.

KandaswamyMuthukrishnan

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

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No quotes available

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Setup Cost

Azure Data Factory's pricing is pay-as-you-go, with costs based on usage, offering competitive and cost-effective solutions.

Equalum's pricing is considered reasonable and competitive, focusing on CPU and connector additions, despite perceptions of expensiveness.

The pricing is cost-effective.

Brian Sullivan

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

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No quotes available

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Valuable Features

Azure Data Factory offers scalable ETL processes with easy integration, user-friendly interface, and strong orchestration, security, and automation features.

Equalum streamlines data flow between SQL Server and Oracle with real-time streaming, no-code interface, and intuitive monitoring features.

It connects to different sources out-of-the-box, making integration much easier.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

The orchestration features in Azure Data Factory are definitely useful, as it is not only for Azure Data Factory; we can also include DataBricks and other services for integrating the data solution, making it a very beneficial feature.

KandaswamyMuthukrishnan

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

The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.

Deena Thayalan

Data Engineer at Vthinktechnologies

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No quotes available

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Categories and Ranking

Azure Data Factory

Ranking in Data Integration

3rd

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

Equalum [EOL]

Ranking in Data Integration

62nd

Average Rating

9.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Replication (17th), Cloud Data Integration (30th)

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Azure Data Factory is 3.2%, down from 10.0% compared to the previous year. The mindshare of Equalum [EOL] is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Azure Data Factory	3.2%
Equalum	0.6%
Other	96.2%

Data Integration

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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Joel Buck

Director of Enterprise Architecture at a pharma/biotech company with 10,001+ employees

There is no better product for CDC and streaming on Kafka

The Equalum user interface is extremely easy to use. I would rank it really highly on user-friendliness. The only issue with the user interface is it doesn't supply everything that you need for somebody who has to work with Equalum. For example, when you get deep into development, there are many areas where you have to go to the command line to do things and the Equalum user interface does not have that functionality. The deployment of their flows needs improvement. It doesn't work with a typical Git branching and CI/CD deployment strategy. If you have multiple projects, all working in one Equalum environment, separating out their work is something that you have to design into your implementation, as opposed to baked into the product.

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

12%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	57

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

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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Why should I use Equalum instead of LogMiner?

You'd want to use the Equalium Oracle Binary Log Parser because it's just better than the LogMiner. Sure, LogMiner is made by Oracle and probably the team knows some insight to make it efficient th...

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Is Equalum compatible with all databases?

I'm using Equalum's data replication software for Oracle because that's the one database it's designed for. While it may sound limiting, when you find out how many solutions it can provide for you ...

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Can I use Equalum for free?

No, it's not free but you can benefit from a free trial, though. There's an option to try their platform for a limited amount of time, so that may be useful to help you decide if you want to contin...

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Comparisons

Snowflake vs Azure Data Factory

Compared 7% of the time

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

Compared 6% of the time

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

FME vs Azure Data Factory

Compared 4% of the time

More Azure Data Factory Competitors

StreamSets vs Equalum [EOL]

Compared 17% of the time

Matillion Data Productivity Cloud vs Equalum [EOL]

Compared 15% of the time

Fivetran vs Equalum [EOL]

Compared 15% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Equalum [EOL]

Compared 14% of the time

Qlik Talend Cloud vs Equalum [EOL]

Compared 13% of the time

More Equalum [EOL] Competitors

Product Reports

Buyer's Guide

Azure Data Factory

January 2026

Download Azure Data Factory product report

Buyer's Guide

Equalum [EOL]

January 2026

Download Equalum [EOL] product report

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

Equalum EOL offers robust data replication services, focusing on CDC replication, streaming and batch ETL. It provides a user-friendly interface with no-code capabilities, integrating seamlessly with technologies like Kafka and Spark.

Equalum EOL is designed to facilitate data integration and migration processes through advanced CDC replication, streaming, and batch ETL capabilities. Its intuitive interface supports complex data processes without requiring extensive technical skills. Enhanced with automated self-healing and performance monitoring, the platform provides fast data streaming services. Equalum integrates effectively with Kafka and Spark, allowing unique functionality enhancements. The graphical interface is advantageous for users needing command-line features for workflow deployment while offering intuitive monitoring for quick issue resolution.

What are the most important features of Equalum EOL?

CDC Replication: Ensures seamless data synchronization across systems.
Streaming ETL: Provides real-time data processing for timely insights.
Batch ETL: Supports large-scale data aggregation for comprehensive analysis.
No-Code Interface: Simplifies complex processes for non-technical users.
Integration with Kafka and Spark: Enhances data processing capabilities.
Automated Self-Healing: Reduces downtime and system latency.

What benefits should users look for in reviews of Equalum EOL?

Improved Data Sync: Efficient data replication minimizes lag.
Performance Monitoring: Keeps data processes running smoothly.
Flexible Integration: Adapts to various data sources and platforms.
Real-Time Data Access: Facilitates on-the-fly decision-making with streaming ETL.

Equalum EOL is implemented across industries for data replication tasks such as moving databases and SQL Server data to Oracle. It effectively integrates legacy and siloed data for applications, transactions, and BI dashboards, operating both on-premises and in the cloud. With features like the micro-batching of Kafka topics and transforming large XML files into Snowflake, Equalum EOL supports consultants offering SaaS and on-premises solutions, catering to real-time Change Data Capture needs in cloud environments.

Google

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

SIEMENS, GSK, Wal-Mart, T Systems

Buyer's Guide

Azure Data Factory vs. Equalum [EOL]

December 2025

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