Compare SAS Access vs. Talend Data Fabric

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SAS Access Logo
713 views|632 comparisons
Talend Data Fabric Logo
332 views|247 comparisons
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Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: July 2020.
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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 part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment.

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We've had no issues with the stability so far.It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric.

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Cons
The pricing model needs to be reconsidered and adjusted.

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I would like to see better integration with other tools.Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities.

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Pricing and Cost Advice
The pricing model is complex and is based on modular packages as well as the size of the applicable environment.

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There are no additional licensing fees when you scale

More Talend Data Fabric Pricing and Cost Advice »

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Ranking
17th
Views
713
Comparisons
632
Reviews
1
Average Words per Review
2,916
Avg. Rating
10.0
21st
Views
332
Comparisons
247
Reviews
2
Average Words per Review
663
Avg. Rating
8.5
Popular Comparisons
Compared 25% of the time.
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Compared 13% of the time.
Also Known As
SAS/Access
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SAS
Talend
Overview
SAS/ACCESS is an out-of-the-box solution for integrating SAS and third-party databases. You can read, write and update data regardless of the database or platform. Because the data appears native to SAS, there is no need to learn Structured Query Language (SQL) or any other database-specific query languages.

Talend, a leader in cloud data integration and data integrity, enables companies to transform by delivering trusted data at the speed of business.
Talend Data Fabric offers a single suite of apps that shorten the time to trusted data. Users can collect data across systems; govern it to ensure proper use, transform it into new formats and improve quality, and share it with internal and external stakeholders.

Over 3,000 global enterprise customers have chosen Talend to help them turn all their raw data into trusted data to make business decisions with confidence — including GE, HP Inc., and Domino’s.

Offer
Learn more about SAS Access
Learn more about Talend Data Fabric
Sample Customers
Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
Information Not Available
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: July 2020.
431,790 professionals have used our research since 2012.
SAS Access is ranked 17th in Data Integration Tools with 1 review while Talend Data Fabric is ranked 21st in Data Integration Tools with 2 reviews. SAS Access is rated 10.0, while Talend Data Fabric is rated 8.6. The top reviewer of SAS Access writes "Connect databases and create access to simplify complex processes with this powerful tool". On the other hand, the top reviewer of Talend Data Fabric writes "Smart tool to design data pipelines that has good connection capabilities ". SAS Access is most compared with Toad Data Point, Talend Open Studio, Denodo, Matillion ETL and Mule Anypoint Platform, whereas Talend Data Fabric is most compared with Azure Data Factory, Talend Data Management Platform and SAP Data Hub.

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