Azure Data Factory vs Striim comparison

Read 4 Striim reviews

2,462 Views
1,502 Comparison Views

100% willing to recommend

Azure Data Factory

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Azure Data Factory and Striim based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Azure Data Factory vs. Striim Report (Updated: September 2026).

Azure Data Factory vs. Striim

Download the complete report

Helped 914,938 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:

ROI

Sentiment score

5.3

Azure Data Factory centralizes data, cuts costs, boosts efficiency, enhances client satisfaction, and delivers a 20-30% return.

Sentiment score

7.9

Striim enhances efficiency by reducing data sync time and incidents, saving organizations significant time and operational costs.

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

The incidents have disappeared completely since I have been using Striim.

Cloud architect at a tech vendor with 10,001+ employees

Striim's continuous pipeline safely processes millions of daily transactions without data loss; my organization had millions of transactions every day and even in real-time, so it was quite good.

Tanushree Banerjee

Mainframe lead at Infosys

Since it is now one to two hours, I would say it has saved employee hours and time.

For more quotes and insights, download the Striim report

Data Engineer

Customer Service

Sentiment score

6.2

Azure Data Factory support is generally proficient and accessible, though response times and costs can vary for dedicated support.

Sentiment score

6.8

Striim's customer service is praised for prompt, expert assistance, particularly in z/OS architecture and DB2 logs troubleshooting.

On a scale of one to ten, I would rate the technical support as nine.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

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

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

Chief Analytics Officer at Idiro Analytics

The technical support is responsive and helpful

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

They are all knowledgeable about what they do.

Data Engineer

When you contact them, they give you a response straight away and help you identify the issue and fix it.

For more quotes and insights, download the Striim report

Technology Specialist Database at a retailer with 10,001+ employees

The customer support has been excellent, and their engineers actually understand z/OS architecture and DB2 logs.

Tanushree Banerjee

Mainframe lead at Infosys

Scalability Issues

Sentiment score

7.3

Azure Data Factory is scalable and flexible but sometimes requires support for quotas and improvements for broader scalability.

Sentiment score

7.8

Striim performs well with moderate data volumes, is adaptable, and recommended for hybrid clouds, but enterprise-level scalability is untested.

Azure Data Factory is highly scalable.

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

Chief Analytics Officer at Idiro Analytics

I did not experience scalability issues.

SubrataDey

Principal Data Engineer at Oracle

Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.

Data Engineer

I would describe the scalability of Striim as very good, as it adapts well.

Cloud architect at a tech vendor with 10,001+ employees

Striim can handle the data volumes effectively, but it can struggle a little bit if the data volume is too high.

For more quotes and insights, download the Striim report

Technology Specialist Database at a retailer with 10,001+ employees

Stability Issues

Sentiment score

7.8

Azure Data Factory is highly rated for stability, though performance varies with setup, data volume, and resource allocation.

Sentiment score

7.9

Users generally find Striim stable with occasional slowdowns and initial synchronization issues, but no major crashes or reliability problems.

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

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

Chief Analytics Officer at Idiro Analytics

It gives me the accurate result.

Kunal Das

Test Engineer at Happiest Minds Technologies

I have been using Azure Data Factory for a very long time, and I did not find too many issues.

SubrataDey

Principal Data Engineer at Oracle

That problem has been completely resolved with Striim.

Cloud architect at a tech vendor with 10,001+ employees

Striim was very stable.

For more quotes and insights, download the Striim report

Data Engineer

In my experience, Striim is mostly stable.

Tanushree Banerjee

Mainframe lead at Infosys

Room For Improvement

Azure Data Factory needs better setup, connectivity, documentation, support, performance, and UI for enhanced functionality and user experience.

Striim needs better performance, especially in batch processing, documentation, user setup, and pricing to satisfy users' needs.

The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees

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.

Kunal Das

Test Engineer at Happiest Minds Technologies

Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.

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

Chief Analytics Officer at Idiro Analytics

I believe if Striim could use some part of AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change.

Data Engineer

They could improve the documentation by showing how to configure with different platforms.

Technology Specialist Database at a retailer with 10,001+ employees

I think Striim could be improved with better pricing and enhanced documentation.

For more quotes and insights, download the Striim report

Cloud architect at a tech vendor with 10,001+ employees

Setup Cost

Azure Data Factory's pricing is competitive but complex, requiring careful monitoring to manage costs for high data usage.

Enterprise users find Striim's pricing based on cores and CPU usage costly, but fair for private cloud setups.

The pricing is cost-effective.

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

Chief Analytics Officer at Idiro Analytics

It is considered cost-effective.

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.

Technology Specialist Database at a retailer with 10,001+ employees

My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.

Cloud architect at a tech vendor with 10,001+ employees

It's very fair.

For more quotes and insights, download the Striim report

Data Engineer

Valuable Features

Azure Data Factory excels in performance, ease of use, scalability, and integration, making it highly valued for ETL processes.

Striim enhances business analytics with real-time data streaming, ease of use, and efficient synchronization, reducing load and overhead.

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

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

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

Deena Thayalan

Data Engineer at Vthinktechnologies

Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.

KandaswamyMuthukrishnan

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

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

Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency.

Cloud architect at a tech vendor with 10,001+ employees

There were significant improvements because once we enabled change data capture, the database was not going down at all.

Data Engineer

It reduces manual intervention because it automatically syncs the data from the warehouse.

For more quotes and insights, download the Striim report

Technology Specialist Database at a retailer with 10,001+ employees

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

6th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (6th)

Striim

Ranking in Data Integration

44th

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Integration (23rd), Streaming Analytics (20th)

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.1% compared to the previous year. The mindshare of Striim is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.2%
Striim	0.6%
Other	97.2%

Data Integration

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.

Read full review

Real-time data capture has accelerated releases and now improves trust in our data warehouse

Data Engineer

The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the culprit table or database behind the lag. I believe that is an improvement Striim could definitely do. Passwords were an issue. Property variables were not supported for passwords, meaning I had to make sure the password is manually populated. I believe if Striim could read from AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change. The user experience of triggering alerts if there's any lag which Striim identified, which is outside normal processing time, could intrinsically be done by Striim. I believe that was lacking. I would wait for Striim to tell me, instead of me going and validating whether Striim is lagging behind. If Striim could itself tell me that it's seeing a lot more volume than expected, that would really make me give it a higher number.

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Data Integration solutions are best for your needs.

See recommendations

914,938 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

Retailer

16%

Construction Company

13%

Healthcare Company

12%

Financial Services Firm

10%

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.

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 is your experience regarding pricing and costs for Striim?

It's very fair. We had a private cloud, and it's not based on the number of events. It was based on the number of cores and CPU cores.

What needs improvement with Striim?

What is your primary use case for Striim?

We were using batch data from an Oracle database, which was causing the Oracle database to slow down. We enabled change data capture and used Striim to read data from Oracle databases and ingest in...

Snowflake vs Azure Data Factory

Comparisons

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 4% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

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

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Qlik Talend Cloud vs Striim

Compared 13% of the time

Upsolver vs Striim

Compared 10% of the time

Oracle GoldenGate vs Striim

Compared 9% of the time

AWS Database Migration Service vs Striim

Compared 8% of the time

Confluent vs Striim

Compared 8% of the time

More Striim Competitors

Product Reports

Azure Data Factory

Download Azure Data Factory product report

Download Striim product report

Also Known As

No data available

Striim Platform

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

Striim offers a comprehensive platform for real-time data integration and streaming analytics, designed to streamline data processes for enterprise-level solutions.

Striim enables seamless migration and integration of data across cloud and on-premises environments, making it ideal for businesses looking to leverage real-time analytics. Its capabilities support continuous data flow, reducing latency and enhancing decision-making. Designed for scalable and secure data management, Striim facilitates effective data-driven strategies.

What are some key features of Striim?

Continuous Data Ingestion: Collects and processes real-time data streams promptly.
Data Integration: Combines data from different sources for unified insights.
Real-Time Analytics: Supports instant analytics, allowing fast response to changes.
Scalable Architecture: Adapts to large-scale data environments efficiently.

What benefits should users look for in Striim reviews?

Improved Data Accuracy: Ensures data integrity in analytics.
Enhanced Operational Efficiency: Streamlined processes for faster data handling.
Cost-Effective Integration: Reduces expenses associated with traditional data handling.
Flexible Deployment Options: Allows for tailored solutions fitting specific needs.

In industries like finance, Striim supports real-time fraud detection by providing uninterrupted data streaming between transaction systems. In healthcare, it enables rapid data processing for patient monitoring, improving service delivery. Manufacturing uses Striim to enhance supply chain visibility through real-time data analytics.

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

Sky, UPS, MACY'S, EMAAR, HSBC

Azure Data Factory vs. Striim