Azure Data Factory vs SAS Data Integration Server comparison

Microsoft and SAS are both solutions in the Data Integration category. Microsoft is ranked #1 with an average rating of 8.0, while SAS is ranked #36 with an average rating of 8.0. Microsoft holds a 11.1% mindshare in DI, compared to SAS’s 0.6% mindshare. Additionally, 91% of Microsoft users are willing to recommend the solution, compared to 80% of SAS users who would recommend it.

Azure Data Factory

Read 85 Azure Data Factory reviews

23,087 Views
18,331 Comparison Views

91% willing to recommend

SAS Data Integration Server

Read 3 SAS Data Integration Server reviews

853 Views
772 Comparison Views

80% willing to recommend

Azure Data Factory

SAS Data Integration Server

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Azure Data Factory and SAS Data Integration Server 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. SAS Data Integration Server Report (Updated: October 2024).

Buyer's Guide

Azure Data Factory vs. SAS Data Integration Server

October 2024

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Helped 814,649 peers since 2012

Categories and Ranking

Azure Data Factory

Ranking in Data Integration

1st

Average Rating

8.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

SAS Data Integration Server

Ranking in Data Integration

36th

Average Rating

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of November 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.1%, down from 13.3% compared to the previous year. The mindshare of SAS Data Integration Server is 0.6%, down from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Camilo Velasco

CTO at Sosty

Oct 27, 2022

No deployment cost, quick implementation, pay only for the processing time and data

The primary use case of this solution is to extract ETLS, transform and load data, and organize database synchronization The most valuable feature of this solution is the data flow, which is the same SQL server in important service, integration services, which is a very robust and powerful tool…

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reviewer1752714

Chief Manager at a insurance company with 10,001+ employees

Aug 2, 2023

A stable and scalable tool with data handling capabilities and an amazing technical support

I am from the data visualization team and used SAS VA and SAS Data Integration Server. This year, my team has stopped the use of SAS VA and SAS Data Integration Server. We have a separate team that uses SAS Data Integration Server since they belong to the data management team. I recommend the solution to those organizations that have a very large scale of data to handle so that they can utilize the solution's data handling capabilities. Organizations can go with the solution's on-premises or cloud version. Since the cost of the on-premises version of the solution is huge, I recommend businesses go with the cloud version. I rate the overall product between seven to eight out of ten.

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

"It makes it easy to collect data from different sources."

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

"The trigger scheduling options are decently robust."

"It has built-in connectors for more than 100 sources and onboarding data from many different sources to the cloud environment."

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

"This solution has provided us with an easier, and more efficient way to carry out data migration tasks."

"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."

More Azure Data Factory pros

"The solution is very stable."

"The solution offers very good data manipulation and loading."

"The most valuable feature of the solution is its amazing capabilities in regard to data handling."

Cons

"Some known bugs and issues with Azure Data Factory could be rectified."

"Azure Data Factory should be cheaper to move data to a data center abroad for calamities in case of disasters."

"While it has a range of connectors for various systems, such as ERP systems, the support for these connectors can be lacking."

"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."

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

"The product could provide more ways to import and export data."

"The need to work more on developing out-of-the-box connectors for other products like Oracle, AWS, and others."

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

More Azure Data Factory cons

"The transform tool has limited access. They should make it more flexible."

"The initial setup of SAS Data Integration Server was complex."

"So I would like to see improved integration with other software."

Pricing and Cost Advice

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

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

"I would not say that this product is overly expensive."

"The price is fair."

"This is a cost-effective solution."

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

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

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

More Azure Data Factory pricing and cost advice

"It is an expensive program."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Computer Software Company

13%

Manufacturing Company

Healthcare Company

Financial Services Firm

25%

Computer Software Company

13%

Government

11%

Insurance Company

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...

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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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What do you like most about SAS Data Integration Server?

The most valuable feature of the solution is its amazing capabilities in regard to data handling.

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What is your experience regarding pricing and costs for SAS Data Integration Server?

I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.

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What needs improvement with SAS Data Integration Server?

Visualization is an area with a few shortcomings in the product. Some new and amazing visualization capabilities have been added to the product, but I haven't used them enough to be able to comment...

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Comparisons

Informatica PowerCenter vs Azure Data Factory

Compared 14% of the time

Snowflake vs Azure Data Factory

Compared 11% of the time

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

Compared 8% of the time

Alteryx Designer vs Azure Data Factory

Compared 7% of the time

IBM InfoSphere DataStage vs Azure Data Factory

Compared 5% of the time

More Azure Data Factory Competitors

SSIS vs SAS Data Integration Server

Compared 26% of the time

Oracle Data Integrator (ODI) vs SAS Data Integration Server

Compared 25% of the time

Palantir Foundry vs SAS Data Integration Server

Compared 21% of the time

AWS Glue vs SAS Data Integration Server

Compared 9% of the time

More SAS Data Integration Server Competitors

Product Reports

Buyer's Guide

Azure Data Factory

November 2024

Download Azure Data Factory product report

Buyer's Guide

Data Integration

October 2024

Download SAS Data Integration Server product report

Also Known As

No data available

SAS Enterprise Data Integration Server, Enterprise Data Integration Server

Learn More

Microsoft

Video not available

SAS

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.

SAS Data Integration Server is a powerful, configurable and comprehensive solution that can meet a wide variety of data integration requirements, from small tactical projects to strategic business initiatives. It can access virtually all data sources, support data warehousing, migration, synchronization, federation and provisioning initiatives. It can support both batch-oriented and real-time master data management solutions. It can create reusable data integration services in support of service-oriented architectures and data governance and extract, cleanse, transform, conform, aggregate, load and manage data.

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

Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, West Midlands Police, XS Inc., Zenith Insurance

Buyer's Guide

Azure Data Factory vs. SAS Data Integration Server

October 2024

Free Report: Azure Data Factory vs. SAS Data Integration Server

Find out what your peers are saying about Azure Data Factory vs. SAS Data Integration Server and other solutions. Updated: October 2024.

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