Azure Data Factory vs SharePlex comparison

Why PeerSpot?

Microsoft and Quest Software are both solutions in the Data Integration category. Microsoft is ranked #5 with an average rating of 8.0, while Quest Software is ranked #48. Microsoft holds a 2.2% mindshare in DI, compared to Quest Software’s 1.2% mindshare. Additionally, 92% of Microsoft users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

Azure Data Factory

Read 97 Azure Data Factory reviews

14,793 Views
10,207 Comparison Views

92% willing to recommend

SharePlex

Read 5 SharePlex reviews

4,086 Views
2,615 Comparison Views

100% willing to recommend

Azure Data Factory

SharePlex

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

SharePlex and Azure Data Factory are in the data management and transformation category. Azure Data Factory appears to have the upper hand due to its robust feature set and integration capabilities.

Features: SharePlex delivers strong replication, particularly for Oracle databases, with features like its Compare and Repair tool and PEP for efficient data management. Azure Data Factory supports extensive data transformations and offers integration with Azure services, featuring a user-friendly interface, a large number of built-in connectors, and a comprehensive suite for complex workflows.

Room for Improvement: SharePlex could benefit from enhanced flexibility and broader database support beyond Oracle. Its interface may need modernization to match current standards. Updates for integration with cloud services could improve its competitiveness. Azure Data Factory's learning curve is initially steep for new users. More detailed error tracking and enhanced documentation could improve usability. Additional pricing transparency might clarify cost expectations for potential users.

Ease of Deployment and Customer Service: SharePlex offers a straightforward deployment process with tailored support for Oracle environments. Azure Data Factory, integrated with the broader Azure ecosystem, provides a cloud-centric deployment that requires some learning but is supported by robust customer service and rich online resources.

Pricing and ROI: SharePlex is known for cost-effectiveness, especially in replication-focused environments, yielding excellent ROI. Azure Data Factory, with potentially higher initial costs, offers substantial ROI through its extensive features and integration capabilities, making it an attractive investment for large-scale operations and long-term data strategies.

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

Buyer's Guide

Azure Data Factory vs. SharePlex

September 2026

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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:

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

5th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th)

SharePlex

Ranking in Data Integration

48th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.2%, down from 5.5% compared to the previous year. The mindshare of SharePlex is 1.2%, up from 0.8% 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%
SharePlex	1.2%
Other	96.6%

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.

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Abhijit Arun Gujare

Sr. Oracle DBA at a comms service provider with 10,001+ employees

Real-time replication means our data is available almost instantaneously if an issue occurs in one of our data centers

I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us. We have discussed this and they have said it is in their future pipeline, but not with a definite date at which we will see this type of feature.

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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 data is more scalable."

"Data Factory itself is great, it's pretty straightforward, you can easily add sources, join and lookup information, etc., and the ease of use is pretty good."

"I can do everything I want with SSIS and Azure Data Factory."

"The solution includes a feature that increases the number of processors used which makes it very powerful and adds to the scalability."

"We have used other ETL solutions in the past, and Azure Data Factory is the best one."

"The solution can scale very easily."

"ADF is another ETL tool similar to Informatica that can transform data or copy it from on-prem to the cloud or vice versa. Once we have the data, we can apply various transformations to it and schedule our pipeline according to our business needs. ADF integrates with Databricks. We can call our Databricks notebooks and schedule them via ADF."

"For developers that are very accustomed to the Microsoft development studio, it's very easy for them to complete end-to-end data integration."

More Azure Data Factory pros

"The core features of the solution we like are the reliability of the data transfer and the accuracy of data read and write. The stability of the solution is also excellent."

"The core replication and its performance. Performance is crucial, and SharePlex is by far the fastest. The way it handles replication to multiple targets along with basic filtering, as well as from multiple sources to a single target, is very efficient."

"I like SharePlex's Compare and Repair tool."

"It works 100 percent of the time, with little downtime or problems."

"SharePlex has been a good fit for us because it was not as expensive compared to GoldenGate, it was stable compared to AWS DMS, and it was a good product for what we were looking for and within our budget too."

"There are some capabilities within SharePlex where you can see how the data is migrating and if it still maintains good data integrity. For example, if there are some tables that get out of sync, there are ways to find them and fix the problem on the spot. Since these are very common issues, we can easily fix these types of problems using utilities, like compare and repair. So, if you find something is out of sync, then you can just repair that table. It basically syncs that table from source to target to see if there are any differences. It will then replicate those differences to the target."

"Try it out in your production and you won't be disappointed."

"The synchronization, data backup, and data transfer are all valuable features of the solution."

More SharePlex pros

Cons

"The deployment should be easier."

"Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically."

"There is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration."

"It's essentially just a black box. There is some monitoring that can be done, but when something goes wrong, even simple fixes are difficult to troubleshoot."

"The pricing model should be more transparent and available online."

"A room for improvement in Azure Data Factory is its speed. Parallelization also needs improvement."

"I have encountered a problem with the integration with third-party solutions, particularly with SAP."

"The one element of the solution that we have used and could be improved is the user interface."

More Azure Data Factory cons

"For its function in relation to replication (i.e. filtering), I'd give it a six or seven out of 10. GoldenGate has much more functionality by comparison."

"I would like more ability to automate installation and configuration in line with some of the DevOps processes that are more mature in the market. That would be a considerable improvement."

"I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us."

"The reporting features need improvement. It would be very good for users to have a clear understanding of the status of replication."

"I would like the solution to have some kind of machine learning and AI capabilities."

"The reporting features need improvement."

"I don't know how easy it would be to change the architecture in an already implemented replication. For example, if we have a certain way of architecting for a particular database migration and want to change that during a period of time, is that an easy or difficult change? There was a need for us to change the architecture in-between the migration, but we didn't do it. We thought, "This is possibly complicated. Let's not change it in the middle because we were approaching our cutover date." That was one thing that we should have checked with support about for training."

"I don't know how easy it would be to change the architecture in an already implemented replication."

Pricing and Cost Advice

"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 is comparable, it's somewhere in the middle."

"It's not particularly expensive."

"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."

"Product is priced at the market standard."

"Understanding the pricing model for Data Factory is quite complex."

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

More Azure Data Factory pricing and cost advice

"It's really good value for the money. There are some things they could improve on, but in terms of the pricing, features, and support, as a holistic package, we are not thinking of anything else at this point in time."

"It is not as expensive as Oracle GoldenGate and has worked really well within our budgets."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

Computer Software Company

Construction Company

13%

Financial Services Firm

Manufacturing Company

Healthcare 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

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 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 3% of the time

Palantir Foundry vs Azure Data Factory

Compared 3% of the time

SnapLogic vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Oracle Data Integrator (ODI) vs SharePlex

Compared 10% of the time

SSIS vs SharePlex

Compared 6% of the time

Informatica PowerCenter vs SharePlex

Compared 6% of the time

Oracle GoldenGate vs SharePlex

Compared 5% of the time

Qlik Replicate vs SharePlex

Compared 4% of the time

More SharePlex Competitors

Product Reports

Buyer's Guide

Azure Data Factory

September 2026

Download Azure Data Factory product report

Buyer's Guide

SharePlex

August 2026

Download SharePlex product report

Also Known As

No data available

Dell SharePlex, SharePlex

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

SharePlex delivers robust database replication and migration capabilities, emphasizing performance, synchronization, and data integrity management. Supporting high availability and real-time data syncing, it serves organizations handling vast transaction volumes, especially in IoT data processing.

SharePlex offers reliable data transfer and efficient multi-target replication. Its features like Compare and Repair utilities assist in maintaining data consistency. With PEP fostering scalability for large transactions, it caters to businesses aiming to cut down migration windows and minimize outages. Users employ SharePlex in real-time syncing and failover scenarios across data centers, crucial for handling extensive transaction data during migrations or upgrades.

What are SharePlex's key features?

Core Replication: Ensures reliable data synchronization across multiple targets.
Data Integrity Management: Maintains accuracy during reading and writing processes.
Compare and Repair Utilities: Facilitate data consistency checks and fixes.
PEP: Enhances performance for large transaction volumes.

Why consider SharePlex for your database needs?

Scalability: Supports large-scale transactions with efficiency.
Minimized Downtime: Provides continuous data availability during operations.
Business Continuity: Enables seamless failover and data center transitions.
Real-time Syncing: Supports time-sensitive data processing requirements.

Organizations in sectors like finance and telecommunications implement SharePlex to maintain uninterrupted operations and ensure quick recovery times. By facilitating database migrations to cloud platforms like AWS, they achieve reduced downtime and enhanced operational efficiency, catering to the rigorous demands of data-driven industries.

Quest Software

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

Bodybuilding.com, Priceline.com, Ameco Beijing, Viasat, SK Broadband

Buyer's Guide

Azure Data Factory vs. SharePlex

September 2026

Free Report: Azure Data Factory vs. SharePlex

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