Matillion ETL vs SAS Data Integration Server comparison

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Matillion Logo
3,350 views|2,263 comparisons
95% willing to recommend
SAS Logo
1,073 views|969 comparisons
80% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Matillion ETL and SAS Data Integration Server based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration.
To learn more, read our detailed Cloud Data Integration Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
Featured Review
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 feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple.""Matillion ETL is one hundred percent stable.""The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources.""It's highly scalable. It takes upon itself the Redshift scalability, so it's very good.""The product's initial setup phase was easy.""It's been able to do everything we require.""Matillion ETL has great Git integration that is perfect and convenient to use.""The loading of data is the most valuable feature of Matillion ETL."

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"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.""The solution is very stable."

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Cons
"The tool's lineage is very weak.""Matillion’s on-premises capabilities don’t allow you to build something customized.""The product must enhance its near-real-time data capture feature.""Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level.""One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems.""Performance can be improved for efficiency, and it can be made faster.""In the next release, we would like to have connections to more databases.""Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."

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"So I would like to see improved integration with other software.""The initial setup of SAS Data Integration Server was complex.""The transform tool has limited access. They should make it more flexible."

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Pricing and Cost Advice
  • "I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."
  • "It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
  • "The prices needs to be lower."
  • "It was very easy to purchase through the AWS Marketplace, but it was also expensive."
  • "Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
  • "It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
  • "The AWS pricing and licensing are a cost-effective solution for data integration needs."
  • "It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
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    Questions from the Community
    Top Answer:It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth
    Top Answer:We pay $5.40 per EC2 running hour, and we can reduce costs by stopping and starting the EC2 instances strategically. For instance, in our production environment, we run it for sixteen hours a day… more »
    Top Answer:There's room for improvement in how it handles data streaming capabilities. Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes… more »
    Top Answer:The most valuable feature of the solution is its amazing capabilities in regard to data handling.
    Top Answer:I don't handle the cost and budget part. From the tool's perspective, I can say that it is an amazing product.
    Top Answer: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 on… more »
    Ranking
    4th
    Views
    3,350
    Comparisons
    2,263
    Reviews
    11
    Average Words per Review
    701
    Rating
    8.6
    34th
    out of 100 in Data Integration
    Views
    1,073
    Comparisons
    969
    Reviews
    1
    Average Words per Review
    589
    Rating
    8.0
    Comparisons
    Also Known As
    Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
    SAS Enterprise Data Integration Server, Enterprise Data Integration Server
    Learn More
    Overview

    Matillion ETL is a powerful tool for extracting, transforming, and loading large amounts of data from various sources into cloud data warehouses like Snowflake. Its ability to load data dynamically and efficiently using metadata is a standout feature, as is its open-source ETL with good performance and high efficiency. 

    The solution has a graphical interface for jobs, is easily adjustable and extensible, and allows for scheduling and error reporting. Matillion ETL has helped organizations move to a cloud-based solution, bridge the gap between on-premises and on-cloud, and perform complex migration projects.

    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
    Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
    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
    Top Industries
    REVIEWERS
    Manufacturing Company33%
    Financial Services Firm33%
    Healthcare Company8%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm14%
    Government8%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Government12%
    Computer Software Company10%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business22%
    Midsize Enterprise35%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Cloud Data Integration
    March 2024
    Find out what your peers are saying about Amazon Web Services (AWS), MuleSoft, Matillion and others in Cloud Data Integration. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    Matillion ETL is ranked 4th in Cloud Data Integration with 24 reviews while SAS Data Integration Server is ranked 34th in Data Integration with 3 reviews. Matillion ETL is rated 8.6, while SAS Data Integration Server is rated 7.4. The top reviewer of Matillion ETL writes "Efficient data integration and transformation with seamless cloud-native integration". On the other hand, the top reviewer of SAS Data Integration Server writes "A stable and scalable tool with data handling capabilities and an amazing technical support". Matillion ETL is most compared with Snowflake, Azure Data Factory, AWS Glue, Informatica PowerCenter and SSIS, whereas SAS Data Integration Server is most compared with Palantir Foundry, SSIS, Oracle Data Integrator (ODI), Azure Data Factory and AWS Glue.

    See our list of best Cloud Data Integration vendors.

    We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.