Matillion vs. SAS Data Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Matillion
Score 6.3 out of 10
N/A
Matillion is a productivity platform for data teams. Matillion's Data Productivity Cloud helps data teams – coders and non-coders alike – to move, transform, and orchestrate data pipelines with the goal of empowering teams to deliver quality data at a speed and scale that matches the business’s data ambitions. The vendor states enterprises including Cisco,N/A
SAS Data Management
Score 8.0 out of 10
N/A
A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A
Pricing
MatillionSAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
MatillionSAS Data Management
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsBilled directly via cloud marketplace on an hourly basis, with annual subscriptions available depending on the customer's cloud data warehouse provider.
More Pricing Information
Features
MatillionSAS Data Management
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Matillion
7.3
126 Ratings
13% below category average
SAS Data Management
8.3
10 Ratings
0% below category average
Connect to traditional data sources7.5125 Ratings8.610 Ratings
Connecto to Big Data and NoSQL7.085 Ratings8.19 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Matillion
6.1
127 Ratings
30% below category average
SAS Data Management
6.7
8 Ratings
20% below category average
Simple transformations6.7127 Ratings6.18 Ratings
Complex transformations5.5126 Ratings7.48 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Matillion
6.9
119 Ratings
15% below category average
SAS Data Management
6.7
8 Ratings
18% below category average
Data model creation9.133 Ratings5.56 Ratings
Metadata management9.140 Ratings7.47 Ratings
Business rules and workflow6.2111 Ratings6.67 Ratings
Collaboration4.0111 Ratings7.07 Ratings
Testing and debugging4.6112 Ratings6.17 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Matillion
8.2
23 Ratings
1% below category average
SAS Data Management
7.9
9 Ratings
5% below category average
Integration with data quality tools8.222 Ratings7.69 Ratings
Integration with MDM tools8.220 Ratings8.27 Ratings
Best Alternatives
MatillionSAS Data Management
Small Businesses
Skyvia
Skyvia
Score 9.7 out of 10
Skyvia
Skyvia
Score 9.7 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MatillionSAS Data Management
Likelihood to Recommend
6.2
(128 ratings)
7.6
(11 ratings)
Likelihood to Renew
8.3
(6 ratings)
9.0
(2 ratings)
Usability
5.4
(127 ratings)
6.0
(2 ratings)
Performance
-
(0 ratings)
9.0
(1 ratings)
Support Rating
7.4
(7 ratings)
7.7
(6 ratings)
Implementation Rating
8.2
(1 ratings)
-
(0 ratings)
Product Scalability
5.3
(120 ratings)
-
(0 ratings)
Vendor post-sale
9.1
(1 ratings)
-
(0 ratings)
Vendor pre-sale
9.1
(1 ratings)
-
(0 ratings)
User Testimonials
MatillionSAS Data Management
Likelihood to Recommend
Matillion
Matillion is very easy to learn and develop quickly. It also allows complex orchestration on a visual platform. It has many ready-made components, and it is easy to develop new user components. Although Git integration needs some further development, it enables teamwork in the same project with the "Versions."
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SAS
When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
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Pros
Matillion
  • Matillion has a rich transformation library. It provides multiple functionalities, such as join, group by, pivot, various sources, and sinks.
  • It provides the security capability as well. All the credentials can be securely stored in Matillion.
  • Reusable templates can be built which reduces the redundancy.
  • Time to production is very minimal.
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SAS
  • SAS/Access is great for manipulating large and complex databases.
  • SAS/Access makes it easy to format reports and graphics from your data.
  • Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
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Cons
Matillion
  • Static and monolithic, it will show its limits when running multiple concurrent jobs.
  • Github and versioning implementation is messy and broken. Don't use it.
  • There's not way to see/query the system resources, just wait for a server to crash due to out of memory. An admin panel would be appreciated + some env variables with updated info.
  • API implementation is cumbersome and limited.
  • There's no concept of hub and worker engine, everything happens of the same server (designing workflows and executing them). Having separate light ETL engines to run job could be better. (sort of docker/kubernetes/lambda functions).
  • Handling of variables is limited especially for returned values from sub components.
  • Some components could return more metadata at the end of their execution instead of the standard one.
  • Billing is badly designed not taking into account that the server is hosted by the client. Expensive.
  • We had several issue with migration where starting a new instance was required and then migrating the content. It was painful and time consuming also have to deal with support and engineering team on Matillion side.
  • CDC doesn't work as expected or it is not a mature product yet.
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SAS
  • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
  • Debugging errors from the logs is a complicated process.
  • E-mail alert system is very primitive and needs customization to make it more modern,
  • Cannot send SMS alerts for jobs.
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Likelihood to Renew
Matillion
With the current experience of Matillion, we are likely to renew with the current feature option but will also look for improvement in various areas including scalability and dependability. 1. Connectors: It offers various connectors option but isn't full proof which we will be looking forward as we grow. 2. Scalability: As usage increase, we want Matillion system to be more stable.
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SAS
We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
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Usability
Matillion
Data modeling and SQL knowledge are still heavily recommended when using Matillion because designing a successful and maintainable data transformation requires modeling it with a developer mindset. The data transformation components are often a thin wrapper around SQL concepts, and they don't simplify life that much, IMO. An example is the window component, which cannot facilitate the complex concept of SQL windows just by exposing it to a different interface. On the other hand, low code ingestion is very good and usable, especially for GSheets, Salesforce, and others.
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SAS
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
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Performance
Matillion
No answers on this topic
SAS
It worked as expected.
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Support Rating
Matillion
Overall, I've found Matillion to be responsive and considerate. I feel like they value us as a customer even when I know they have customers who spend more on the product than we do. That speaks to a motive higher than money. They want to make a good product and a good experience for their customers. If I have any complaint, it's that support sometimes feels community-oriented. It isn't always immediately clear to me that my support requests are going to a support engineer and not to the community at large. Usually, though, after a bit of conversation, it's clear that Matillion is watching and responding. And responses are generally quick in coming.
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SAS
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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Implementation Rating
Matillion
We were able to control on access and built various enviroment for implementation
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SAS
No answers on this topic
Alternatives Considered
Matillion
Matillion is much easier to set up and easier to work for the team. Offers a lot more connections which are easier to set up. Environment variables make it easy to set up once and job creation is easy. We use Metadata tables to just loop through the list of tables that need to be loaded. So development is just a matter of seconds when there are new tables to be loaded.
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SAS
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
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Scalability
Matillion
The current connectivity is set to provide information primarily in one direction; from simpler OLTP systems to big data warehouses. Allowing the big data warehouses (e.g., Snowflake) to be used as a source for transmission elsewhere would be a big extension to the product line and provide more flexibility in architecture.
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SAS
No answers on this topic
Return on Investment
Matillion
  • Our embedded data analysts (data analysts that sit in a team outside of the Data team) all now use Matillion to create proof of concepts (POCs). This allows them to debug logic at a component level and quickly explore ideas without investing lots of time and effort.
  • Since the soft-announcement of ‘Data as a product’ (a beta launch) and demoing Matillion to some of our internal customers we’ve had a huge number of requests from people to get their hands on this new method of self serving data. We’ve yet to release the full product and make a company wide announcement, but early estimates show we can expect around 10-15% of the company to be onboarded and using Matillion as part of Data as a Product. Given the Data team only accounts for around 2% for the company's employees, that’s a huge increase in the number of people using and manipulating raw data!
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SAS
  • We have more users who can connect to the many different data sources.
  • Our users do have existing SAS programming knowledge and that can carry over.
  • Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.
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ScreenShots

Matillion Screenshots

Screenshot of Matillion's GUI, used to orchestrate jobs with control data flow functionality, automating the ETL process.Screenshot of where structured and semi-structured data can be prepared to create clean data sets that can be used with any BI/reporting/visualization tool of choice. Matillion reads and combines data across a target warehouse external storage, such as S3 or Blob.Screenshot of Matillion's self-validating components, sample and row counts. If a job does fail, the warehouse queue services available with Matillion can be used get an alert to a connected email or Slack account.Screenshot of the SQL component used to run custom scripts from within Matillion. With hundreds of pre-built connectors out of the box, Matillion can handle complex transformation needs.