Azure Data Factory vs SharePlex comparison

Microsoft and Quest Software are both solutions in the Data Integration category. Microsoft is ranked #4 with an average rating of 8.1, while Quest Software is ranked #46. Microsoft holds a 2.3% mindshare in DI, compared to Quest Software’s 1.1% 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 96 Azure Data Factory reviews

12,975 Views
9,083 Comparison Views

92% willing to recommend

SharePlex

Read 5 SharePlex reviews

3,177 Views
2,065 Comparison Views

100% willing to recommend

Azure Data Factory

SharePlex

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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: June 2026).

Buyer's Guide

Azure Data Factory vs. SharePlex

June 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

4th

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

SharePlex

Ranking in Data Integration

46th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.3%, down from 8.1% compared to the previous year. The mindshare of SharePlex is 1.1%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Azure Data Factory	2.3%
SharePlex	1.1%
Other	96.6%

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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Kristopher Wells

Oracle DBA at a financial services firm with 5,001-10,000 employees

It reduces the downtime and migration time exponentially

I would rate SharePlex's high availability, and disaster recovery features highly. It works as advertised in terms of rapid fill-over and switch-over opportunities. It reduces the migration time for a multi-terabyte database to an hour or less because it performs real-time replication. SharePlex reduces downtime and migration time exponentially. Something that could take 12 to 24 hours is cut down to one to two hours. By the time you start to migrate, the only remaining replication is a slight difference in data from the point when SharePlex has shut down, and the application has to also switch over to the new database. It allowed the company to replicate data more transparently. Some of the business executives probably don't even know it's there. It works 100 percent of the time, with little downtime or problems. It provides what is needed. There's little concern about whether or not it functions. It's allowed the company to achieve its objectives with its clients, reducing and minimizing downtime for substantial migrations and upgrades. It can reduce hardware and storage costs, but my company doesn't utilize it with high-availability architecture.

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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

"Azure Data Factory is a good tool."

"The most valuable features of the solution are its ease of use and the readily available adapters for connecting with various sources."

"The interface of Azure Data Factory is very usable with a more interactive visual experience, making it easier for people who are not as experienced in coding to work with."

"We haven't had any issues connecting it to other products."

"The valuable feature of Azure Data Factory is its integration capability, as it goes well with other components of Microsoft Azure."

"The scalability of the product is impressive."

"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 most valuable feature of this solution is that it allows more data between on-premises and cloud solutions."

More Azure Data Factory pros

"Because of the volume of the transactions, we heavily use a feature that allows SharePlex to replicate thousands of transactions. It's called PEP, Post Enhancement Performance, and that has helped us scale tremendously."

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

"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."

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

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

"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."

"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."

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

More SharePlex pros

Cons

"The setup and configuration process could be simplified."

"The deployment should be easier."

"For some of the data, there were some issues with data mapping. Some of the error messages were a little bit foggy. There could be more of a quick start guide or some inline examples. The documentation could be better."

"Data Factory's cost is too high."

"They require more detailed error reporting, data normalization tools, easier connectivity to other services, more data services, and greater compatibility with other commonly used schemas."

"They should work on optimizing their licensing model and pricing structure."

"I would like to see this time travel feature in Snowflake added to Azure Data Factory."

"The thing we missed most was data update, but this is now available as of two weeks ago."

More Azure Data Factory cons

"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 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."

"The reporting features need improvement."

"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."

"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. 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."

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

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

Pricing and Cost Advice

"The solution's fees are based on a pay-per-minute use plus the amount of data required to process."

"The price is fair."

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

"ADF is cheaper compared to AWS."

"It's not particularly expensive."

"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 rate the product price as six on a scale of one to ten, where one is low price and ten is high price."

More Azure Data Factory pricing and cost advice

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

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Computer Software Company

Manufacturing Company

Construction Company

12%

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	63

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 5% of the time

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

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

Oracle Data Integrator (ODI) vs Azure Data Factory

Compared 3% of the time

More Azure Data Factory Competitors

Oracle Data Integrator (ODI) vs SharePlex

Compared 8% of the time

Oracle GoldenGate vs SharePlex

Compared 6% of the time

SSIS vs SharePlex

Compared 6% of the time

Informatica PowerCenter vs SharePlex

Compared 5% of the time

Qlik Replicate vs SharePlex

Compared 5% of the time

More SharePlex Competitors

Product Reports

Buyer's Guide

Azure Data Factory

June 2026

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Buyer's Guide

SharePlex

June 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

June 2026

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