Compare SAS Access vs. SSIS

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SAS Access Logo
713 views|632 comparisons
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Read 20 SSIS reviews.
34,141 views|27,027 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: July 2020.
431,670 professionals have used our research since 2012.
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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The debugging capabilities are great, particularly during data flow execution. You can look into the data and see what's going on in the pipeline.Built in reports show package execution and messages. Logging can also be customized so only what is needed is logged. There is also an excellent logging replacement called BiXpress that provides both historical and real-time monitoring which is more efficient and much more robust than the built-in logging capabilities. And none of this requires custom coding to make it useful unlike many other ETL tools.The most valuable features of this solution are the fast insert and fuzzy logic matching.This solution is easy to implement, has a wide variety of connectors, has support for Visual Basic, and supports the C language.The initial setup of this solution is very straightforward.The setup is straightforward. It's very easy to install.With this solution, there is the potential to expand, so that you can immediately write code onto the SQL server.The workflow features have been very valuable. You can have automated workflows and all the steps are controlled. The workflow functionality of integration services is excellent.

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Cons
The pricing model needs to be reconsidered and adjusted.

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It should have other programming languages supported as well from a scripting perspective. Currently, only C# and VB.NET are supported, which limits it to .NET. It should have Java support as well.You have to write push down join & lookup SQL to the database yourself via stored procedures or use of the SQL Task to get very high performance. That said, this is a common complaint for nearly all ETL tools on the market and those that offer an alternative such as Informatica offer them at a very expensive add-on price.Generic processes should be used instead of custom code for each table.Tuning using this solution requires extensive expertise to improve performance.The performance of this solution is not as good as other tools in the market.Video training would be a helpful addition.The solution should work on the GPU, graphical processing unit. There should also be piping integration available.It needs more integration tools, so you can connect to different sources.

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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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t's incredibly cost effective, easy to learn the basics quickly (although like all ETL tools requires the traditional learning curve to get good at) and has an immense user base.This solution is included with the MSSQL server package.My advice is to look at what your configuration will be because most companies have their own deals with Microsoft.This solution has provided an inexpensive tool, and it is easy to find experienced developers.

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Ranking
17th
Views
713
Comparisons
632
Reviews
1
Average Words per Review
2,916
Avg. Rating
10.0
1st
Views
34,141
Comparisons
27,027
Reviews
19
Average Words per Review
502
Avg. Rating
7.7
Popular Comparisons
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Compared 7% of the time.
Also Known As
SAS/AccessSQL Server Integration Services
Learn
SAS
Microsoft
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.SSIS is a package is an organized collection of connections, control flow elements, data flow elements, event handlers, variables, parameters, and configurations, that you assemble using either the graphical design tools that SQL Server Integration Services provides, or build programmatically. You then save the completed package to SQL Server, the SSIS Package Store, or the file system, or you can deploy the ssISnoversion project to the SSIS server. The package is the unit of work that is retrieved, executed, and saved.
Offer
Learn more about SAS Access
Learn more about SSIS
Sample Customers
Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & SpecialtyPKP Energetyka, UniCredit Bank, Mostar, waldwasser, Ashok leyland, Florida Atlantic University, Stadt Frankfurt am Main
Top Industries
No Data Available
REVIEWERS
Financial Services Firm26%
Healthcare Company9%
Manufacturing Company9%
Retailer9%
VISITORS READING REVIEWS
Computer Software Company33%
Comms Service Provider12%
Insurance Company8%
Government8%
Company Size
No Data Available
REVIEWERS
Small Business24%
Midsize Enterprise24%
Large Enterprise51%
VISITORS READING REVIEWS
Small Business3%
Midsize Enterprise9%
Large Enterprise88%
Find out what your peers are saying about Microsoft, Informatica, Talend and others in Data Integration Tools. Updated: July 2020.
431,670 professionals have used our research since 2012.
SAS Access is ranked 17th in Data Integration Tools with 1 review while SSIS is ranked 1st in Data Integration Tools with 20 reviews. SAS Access is rated 10.0, while SSIS is rated 7.6. 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 SSIS writes "SSIS 2016 - The good, the bad, and the ugly". SAS Access is most compared with Toad Data Point, Talend Open Studio, Denodo and Matillion ETL, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, Oracle Data Integrator (ODI), IBM InfoSphere DataStage and Pentaho Data Integration.

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