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 8.2, while Quest Software is ranked #47. Microsoft holds a 2.4% 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 94 Azure Data Factory reviews

12,241 Views
8,446 Comparison Views

92% willing to recommend

SharePlex

Read 5 SharePlex reviews

2,878 Views
1,871 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: April 2026).

Buyer's Guide

Azure Data Factory vs. SharePlex

April 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

6.8

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (5th)

SharePlex

Ranking in Data Integration

47th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of Azure Data Factory is 2.4%, down from 8.6% 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	2.4%
SharePlex	1.1%
Other	96.5%

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 low code, no code platform, which is helpful."

"The most valuable feature I have found at Azure Data Factory is the data flow function."

"The solution handles large volumes of data very well. One of its best features is its ability to integrate data end-to-end, from pulling data from the source to accessing Databricks. This makes it quite useful for our needs."

"It is beneficial that the solution is written with Spark as the back end."

"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."

"Azure Data Factory became more user-friendly when data-flows were introduced."

"On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."

"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."

More Azure Data Factory pros

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

"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."

"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."

"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 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."

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

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

More SharePlex pros

Cons

"The only thing that we're struggling with is increasing the competency of my team, so we think that the Microsoft documentation is too complicated."

"Areas for improvement in Azure Data Factory include connectivity and integration. When you use integration runtime, whenever there's a failure, the backup process in Azure Data Factory takes time, so this is another area for improvement."

"There should be a way that it can do switches, so if at any point in time I want to do some hybrid mode of making any data collections or ingestions, I can just click on a button."

"The initial setup is not very straightforward."

"It can improve from the perspective of active logging."

"If the user interface was more user friendly and there was better error feedback, it would be helpful."

"There's no Oracle connector if you want to do transformation using data flow activity, so Azure Data Factory needs more connectors for data flow transformation."

"We are too early into the entire cycle for us to really comment on what problems we face. We're mostly using it for transformations, like ETL tasks. I think we are comfortable with the facts or the facts setting. But for other parts, it is too early to comment on."

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. It would be very good for users to have a clear understanding of the status of replication."

"The reporting features need improvement."

"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."

"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."

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

More SharePlex cons

Pricing and Cost Advice

"There's no licensing for Azure Data Factory, they have a consumption payment model. How often you are running the service and how long that service takes to run. The price can be approximately $500 to $1,000 per month but depends on the scaling."

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

"The pricing model is based on usage and is not cheap."

"ADF is cheaper compared to AWS."

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

"The price is fair."

"This is a cost-effective solution."

"Data Factory is affordable."

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

12%

Computer Software Company

10%

Manufacturing Company

Government

Financial Services Firm

Construction Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	20
Large Enterprise	57

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

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

Compared 5% of the time

Snowflake vs Azure Data Factory

Compared 4% of the time

Databricks vs Azure Data Factory

Compared 3% 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 7% 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 6% of the time

Qlik Replicate vs SharePlex

Compared 5% of the time

More SharePlex Competitors

Product Reports

Buyer's Guide

Azure Data Factory

May 2026

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Buyer's Guide

SharePlex

April 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

April 2026

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