Matillion

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
Pricing
Matillion
Editions & Modules
No answers on this topic
Offerings
Pricing Offerings
Matillion
Free Trial
Yes
Free/Freemium Version
No
Premium Consulting/Integration Services
Yes
Entry-level 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
Community Pulse
Matillion
Considered Both Products
Matillion
Chose Matillion
The Matillion selection was not my decision. But I think it's a good enough choice. It is especially valuable that the team can learn Matillion easily and that the project can be understood by the entire team with the visual environment instead of complex ETLs.
Chose Matillion
Both the Databricks platform and dbt Cloud are more powerful from the point of view of the development lifecycle and data use cases covered. They are also more complex and require specialized data engineering skills to be used. Matillion has a lower barrier of entry for small …
Chose Matillion
Removes most of the complexity around setting up and preparing things.
If you could describe with words what needs to be done to move data from A to B, the implementation in Matillion would probably be the most similar in terms of simplicity of understanding what you are doing …
Chose Matillion
Better UI, logging, minimal configurations, easy previews and faster
Chose Matillion
Matillion is a good tool for integrating multiple clouds. Informatica has been a market standard for many years, it provides multiple capabilities for data governance, data quality, etc. However, Informatica is pretty expensive compared to Matillion. Also, Matillion is more …
Chose Matillion
This is my first time using an ETL tool
Chose Matillion
dbt is great for engineers and those comfortable with coding. Matillion is the low-code alternative with a huge emphasis on collaboration with ease. You don't need to checkout a branch, clone, pull, merge etc. in order to help your colleague with a data pipeline. The simple …
Chose Matillion
Matillion was chosen by Schibsted due to the seamless integration with Snowflake. The ease of use and fast workflow have made it an essential tool in our setup, and with the option to integrate nearly every data source there is, plus the ease of use, it really gives a lot of …
Chose 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 …
Chose Matillion
Matillion ran circles around Stitch and Striim both in functionality, setup, and performance. There was no real comparison. Fivetran massively outperforms Matillion in pretty much every facet of the production from setup, maintenance, visibility, and usability. It already …
Chose Matillion
Matillion is cheaper and we really like the customer support of Matillion as well as lerning materials provided by Matillion were far better. They also made connectors for us for free while others were charging us for it.
Chose Matillion
Matillion is way much easier and faster
Chose Matillion
I tried to use several opensource tools before Matillion. They were not bad, but I spent a ton of time maintaining the system, and debugging why things wouldn't work. It also seemed like everything needed a hack to get it working properly. With Matillion, it just works outside …
Chose Matillion
We have selected Matillion because it provides similar if not exactly the same functionality as Qlik at 1/3 of the cost. Matillion are also working closly with Snowflake to integrated all of our Data Platform needs going forward. This will truely add value to our business in …
Chose Matillion
Overall had a better value for money
Chose Matillion
When compared with other technologies , Matillion was cost effective , more scalable and flexible in terms of complexity and components. The licensing cost of Matillion was also less and the flexibility with components helps in implementing complex business logics. The training …
Chose Matillion
I was not part of the selection process and have only used SQL and Python for building data pipelines.
Chose Matillion
1. Better push down to Snowflake
2. Small investment to start using product
3. Easy to setup and get started
Chose Matillion
The out of the box connectors for various data sources especially for Salesforce is the main reason we chose Matillion in terms of source connectivity.
Aside connectors, Matillion provides some unique features like Shared jobs, Grid variables, etc that are very helpful in quick …
Top Pros
Top Cons
Features
Matillion
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Matillion
7.3
126 Ratings
13% below category average
Connect to traditional data sources7.5125 Ratings
Connecto to Big Data and NoSQL7.085 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Matillion
6.1
127 Ratings
30% below category average
Simple transformations6.7127 Ratings
Complex transformations5.5126 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Matillion
6.9
119 Ratings
15% below category average
Data model creation9.133 Ratings
Metadata management9.140 Ratings
Business rules and workflow6.2111 Ratings
Collaboration4.0111 Ratings
Testing and debugging4.6112 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Matillion
8.2
23 Ratings
1% below category average
Integration with data quality tools8.222 Ratings
Integration with MDM tools8.220 Ratings
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Matillion
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User Ratings
Matillion
Likelihood to Recommend
6.2
(128 ratings)
Likelihood to Renew
8.3
(6 ratings)
Usability
5.4
(127 ratings)
Support Rating
7.4
(7 ratings)
Implementation Rating
8.2
(1 ratings)
Product Scalability
5.3
(120 ratings)
Vendor post-sale
9.1
(1 ratings)
Vendor pre-sale
9.1
(1 ratings)
User Testimonials
Matillion
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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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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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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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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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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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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Implementation Rating
Matillion
We were able to control on access and built various enviroment for implementation
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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.
Read full review
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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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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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.