Skip to main content
TrustRadius
Matillion

Matillion

Overview

What is Matillion?

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…

Read more
Recent Reviews

in my opinion, Meh

1 out of 10
March 29, 2024
Incentivized
We are moving away from Matillion to MWAA Airflow with dbt.
Maintaining source control in github is important to us.

We have used Matillion …
Continue reading

Matillion - Decent

6 out of 10
March 19, 2024
Incentivized
We use Matillion to schedule and run our ETL jobs. This helps our company to have accurate and timely data in order to make data-driven …
Continue reading

Matillion Review

8 out of 10
February 07, 2024
Incentivized
We use Matillion for loading data from various sources into Snowflake Data Lake. We have data in various source systems such as SQL …
Continue reading
Read all reviews

Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 11 features
  • Simple transformations (124)
    8.1
    81%
  • Connect to traditional data sources (122)
    7.7
    77%
  • Complex transformations (123)
    6.4
    64%
  • Testing and debugging (109)
    5.5
    55%

Reviewer Pros & Cons

View all pros & cons
Return to navigation

Pricing

View all pricing
N/A
Unavailable

What is Matillion?

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…

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.matillion.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Would you like us to let the vendor know that you want pricing?

26 people also want pricing

Alternatives Pricing

What is Fivetran?

Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using…

N/A
Unavailable
What is Astera Centerprise?

Centerprise Data Integrator is an integration platform that includes tools for data integration, data transformation, data quality, and data profiling.

Return to navigation

Features

Data Source Connection

Ability to connect to multiple data sources

7.6
Avg 8.3

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

7.3
Avg 8.4

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

7.2
Avg 8.1

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

8.2
Avg 8.2
Return to navigation

Product Details

What is Matillion?

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, DocuSign, Pacific Life, Slack, and TUI use Matillion to move, transform, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI.

Native integration with popular cloud data platforms such as Snowflake, Databricks, Amazon Redshift and Google BigQuery lets data teams at every skill level automate management, refinement, and data delivery for every data integration need.


Matillion Features

Data Source Connection Features

  • Supported: Connect to traditional data sources
  • Supported: Connecto to Big Data and NoSQL

Data Transformations Features

  • Supported: Simple transformations
  • Supported: Complex transformations

Data Modeling Features

  • Supported: Business rules and workflow
  • Supported: Collaboration
  • Supported: Testing and debugging

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.

Matillion Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish

Frequently Asked Questions

Reviewers rate Data model creation and Metadata management highest, with a score of 9.1.

The most common users of Matillion are from Mid-sized Companies (51-1,000 employees).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(204)

Attribute Ratings

Reviews

(26-50 of 125)
Companies can't remove reviews or game the system. Here's why
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Matillion is well suited for organizations who would like to start on small scale as Matillion has their offerings on AWS marketplace.
Matillion is quite good when it comes to cloud connectivity
One of the best tool while working with Snowflake
Vinod Kumar C | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I prefer Matillion for:
  1. Salesforce integrations. Not just extracting the data from Salesforce, but it has capability to even push the data to Salesforce.
  2. API integrations: Nowadays, all the applications are exposing their data using APIs instead of direct connectivity for security and other reasons, and Matillion has the ability to extract from all kinds of API sources.
  3. The ability to run the same job in other environment by setting up different environments within the same project.
Scheduling is very basic and does not have advanced capabilities. So this needs to be improved.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Matillion is a great tool for mid sized data platforms. Most of the components are easy to understand and data movement is swift. Matillion's documentation is less than desirable and the customer support is at minimum painful.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Matillion is very strong when it comes to its SQL components and plays very nicely with loading files from S3 to Redshift. It is less desirable for those who want to use a lot of python though, at that point their experience would be limiting.

Trupal Patel | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Matillion is powerful and easy-to-use data integration and transformation platform which can handle large volumes of data like our company where we process billions of data every day. Also, it's customer support helped our team to achieve our goal on time.We use AWS in our company and Matillion provide integration with it
Sahil Bhange | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Matillion is well suited for:Data warehouse with moderate technical skill can do wonder with SQL based ELT data pipelinesIf Org has data lake in Snowflake or other Cloud database, Matillion can access all data and DWH/BI team can create their data marts with less frictionReduces dependency on highly technical folks for data processing.

Matillion is less suited for:
Complex machine learning and data science task.
September 21, 2022

Matillion, a nice ETL tool.

Score 10 out of 10
Vetted Review
Verified User
Incentivized
I always suggest Matillion for organizations that do not want to spend money and time developing their own ETL tool, Matillion is a mature one and meet all requirements about it. It is important to check if you have any edge case and have a look if it is covered by Matillion or not.
Jay Archer | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Great if you need a visual, customized, powerful data engineering and data integration platform that can do pretty much anything. I have yet to hit a situation that I can't solve one way or another. Not great if you only have time for a plug-and-play solution. This is not Stitch or FiveTran, but if you invest the time to learn and use Matillion you can end up with a vastly better solution to your data needs.
Score 10 out of 10
Vetted Review
Verified User
If your company has ever had issues with un-transparent data pipelines, difficulty understanding orchestration of workflows, and issues with data engineering retention and ramp-up, then Matillion is likely the right solution for you. It doesn't require heavy technical skills, just a strong understanding of Data-Eng Concepts. It's low-code/no-code optionality allows for everyone to come in and quickly understand how jobs are interconnected without having to cross navigate multiple systems for connectors, transformations, loads, and logging. It's an all-in-one solution that complements more specialized solutions like Fivetran and Hightouch. You can even set up python connections to orchestrate Fivetran and Hightouch into a Matillion workflow.
Austin Lee | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
It is very well suited in data management and integration. It has saved our organization from data fraud and mismanagement of information from various sources. It has driven our company forward by delivering useful information that is suited to support our goals. Taking data from various sources and sorting it and uploading it in a cloud warehouse has enabled our departments to handle data properly.
July 09, 2021

Matillion Review

Score 9 out of 10
Vetted Review
Verified User
Incentivized
Matillion is nice if you don't want to spend time developing a home-built application to perform the ETL step and of course if you have a budget to spend on it. I don't suggest Matilion if you want to customize a lot or if you have a really specific environment to handle data.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is useful when you need to create a Datawarehouse and put together a complex workflow. The development time is reduced compared to other ETLs. When you are more confident, you can also create complex flows using different job parameters and orchestrator jobs. Buttons for start and end success/end errors are also useful. Connection with source systems is also good.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Matillion is great for handling bulk and 'delta' loads to your warehouse, i.e. updating the warehouse with only those records updated since the last execution of the pipeline. The components and Python scripting provide a huge amount of flexibility in what the pipeline does, but you do need to have the expertise to know how to implement it properly.

Matillion has been less good at extracting data from APIs. The functionality was found to be complex and it was unclear how to manage things like pagination and rate limiting in API calls.

Score 9 out of 10
Vetted Review
Verified User
Incentivized
Matillion is very well suited to connecting to online data sources, as it has an array of connectors that are already set up with third parties. It is easy to get started and can be hosted in AWS or Azure. You only get charged per hour so it is cost-effective if set up correctly.
June 29, 2021

Matillion Review

Sudarshan Kothari | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Matillion works best when automating the workflow from the various digital platforms. It provides the best use-case for automation of any dashboarding/reporting requirement where data is stored in one of the databases and updated regularly. Matillion might not be the best use-case for core ETL operation as it lacks stability for enterprise (but is improving to high standards with every update).
Score 8 out of 10
Vetted Review
Verified User
Incentivized
ETL development can happen without much programming using graphical ETL dev tools and Matillion makes it simple. If data movement is what your organization needs then Matillion is your tool. If you need heavy programming for most performant or reusability then Matillion is not very useful.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Matillion is really well suited to environments using Redshift or Snowflake, and that rely on Amazon Web Services. It is also well suited to scenarios where you need to perform a lot of similar ETL tasks with small variations that could be parameterized. It's great if you want to get up-and-running quickly, and don't want to spend a ton of time in configuration and setup; you can get going very quickly out-of-the-box. It would be less appropriate in on-premise scenarios, where all of your data is stored on-premise. If you don't use AWS, you won't get as much value out of it. Also, in environments with large teams and lots of developers modifying jobs simultaneously, it can be a challenge to coordinate work and manage changes.
Adel Helal | TrustRadius Reviewer
Score 3 out of 10
Vetted Review
Verified User
Incentivized
Essentially Matillion is a nice tool to build a bunch of Redshift queries with added benefits of having a range of integration features. Considering the annual cost is almost equivalent to a junior engineer, we could spend the time to manually write the Redshift queries we need to transform and load our data that can run on our own microservices, and scale them as we see fit so we aren't faced with the hard limits of EC2 instance sizes. We also wont have to worry about hitting Java heap space limits since we can focus more on the Redshift query/transforms optimizing.
Return to navigation