Azure Data Factory vs SharePlex comparison

Microsoft and Quest Software are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.2, while Quest Software is ranked #47. Microsoft holds a 7.4% mindshare in DI, compared to Quest Software’s 0.7% 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 91 Azure Data Factory reviews

15,713 Views
10,999 Comparison Views

92% willing to recommend

SharePlex

Read 5 SharePlex reviews

1,458 Views
1,006 Comparison Views

100% willing to recommend

Azure Data Factory

SharePlex

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Executive SummaryUpdated on Aug 19, 2025

SharePlex and Azure Data Factory are competing in data integration and migration. SharePlex leads with streamlined pricing and robust support, while Azure Data Factory offers superior features and flexibility.

Features: SharePlex excels with high-speed data replication, support for various databases, and strong data integrity tools. Azure Data Factory is distinguished by its data orchestration, broad integration support, and capability for big data processing.

Room for Improvement: SharePlex could enhance its data transformation capabilities and add more cloud service integrations. User interface improvements would also benefit SharePlex. Azure Data Factory could improve by offering more straightforward pricing, enhanced customer support, and improved offline capabilities.

Ease of Deployment and Customer Service: SharePlex offers a simple deployment model with reliable customer service. Azure Data Factory utilizes a cloud-based approach enhancing scalability and integration, though it may require more support during implementation.

Pricing and ROI: SharePlex provides an economic setup prioritizing quick ROI. Azure Data Factory, despite higher costs, delivers value through extensive features that justify the investment in the long term.

To learn more, read our detailed Azure Data Factory vs. SharePlex Report (Updated: July 2025).

Buyer's Guide

Azure Data Factory vs. SharePlex

July 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:

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (2nd)

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 August 2025, in the Data Integration category, the mindshare of Azure Data Factory is 7.4%, down from 11.9% compared to the previous year. The mindshare of SharePlex is 0.7%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Joy Maitra

Sr. Technical Architect at Hexaware Technologies Limited

Facilitates seamless data pipeline creation with good analytics and and thorough monitoring

Azure Data Factory is a low code, no code platform, which is helpful. It provides many prebuilt functionalities that assist in building data pipelines. Also, it facilitates easy transformation with all required functionalities for analytics. Furthermore, it connects to different sources out-of-the-box, making integration much easier. The monitoring is very thorough, though a more readable version would be appreciable.

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Kristopher Wells

Oracle DBA at Broadridge Financial Solutions, Inc.

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

"Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations."

"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."

"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."

"It is easy to deploy workflows and schedule jobs."

"Data Factory's most valuable feature is Copy Activity."

"Data Factory's best features are connectivity with different tools and focusing data ingestion using pipeline copy data."

"The scalability of the product is impressive."

"Its integrability with the rest of the activities on Azure is most valuable."

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."

"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."

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

"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."

"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."

Cons

"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way."

"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."

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

"Sometimes I need to do some coding, and I'd like to avoid that. I'd like no-code integrations."

"It would be better if it had machine learning capabilities."

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

"Real-time replication is required, and this is not a simple task."

"Some prebuilt data source or data connection aspects are generic."

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."

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

"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 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. 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."

Pricing and Cost Advice

"It seems very low initially, but as the data grows, the solution’s bills grow exponentially."

"The solution is cheap."

"The licensing is a pay-as-you-go model, where you pay for what you consume."

"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."

"The price you pay is determined by how much you use it."

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

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

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

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

14%

Computer Software Company

12%

Manufacturing Company

Government

Financial Services Firm

20%

Computer Software Company

10%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 9% of the time

Informatica PowerCenter vs Azure Data Factory

Compared 7% of the time

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

Compared 5% of the time

Alteryx Designer vs Azure Data Factory

Compared 5% of the time

Palantir Foundry vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

Oracle GoldenGate vs SharePlex

Compared 58% of the time

Qlik Replicate vs SharePlex

Compared 16% of the time

AWS Database Migration Service vs SharePlex

Compared 10% of the time

Fivetran vs SharePlex

Compared 8% of the time

IBM App Connect vs SharePlex

Compared 8% of the time

More SharePlex Competitors

Product Reports

Buyer's Guide

Azure Data Factory

August 2025

Download Azure Data Factory product report

Buyer's Guide

SharePlex

August 2025

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

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Buyer's Guide

Azure Data Factory vs. SharePlex

July 2025

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