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Matillion

Matillion

Overview

What is Matillion?

Matillion is a data pipeline platform used to build and manage pipelines. Matillion empowers data teams with no-code and AI capabilities to be more productive, integrating data wherever it lives and delivering data that’s ready for AI and analytics.

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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

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Pricing

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Developer: For Individuals

$2.50/credit

Cloud
Pay as you go per user

Basic

$1000

Cloud
per month 500 prepaid credits (additional credits: $2.18/credit)

Advanced

$2000

Cloud
per month 750 prepaid credits (additional credits: $2.73/credit)

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
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Features

Data Source Connection

Ability to connect to multiple data sources

7.8
Avg 8.4

Data Transformations

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

7
Avg 8.2

Data Modeling

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

7.5
Avg 7.9

Data Governance

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

8.2
Avg 8.2
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Product Details

What is Matillion?

Matillion is a data integration platform that can be used by data teams to build and manage pipelines for AI and analytics - at scale.

Matillion enables data teams and data professionals to take advantage of their data, AI and the cloud to build valuable data assets that can be used across a wide variety of applications from analytics to AI use cases.


Matillion boasts users among enterprises including Cisco, London Stock Exchange Group, EDF and Slack, who use Matillion for use cases from insights and operational analytics, to data science, machine learning and AI.

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 Integrations

Matillion Technical Details

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

Frequently Asked Questions

Matillion is a data pipeline platform used to build and manage pipelines. Matillion empowers data teams with no-code and AI capabilities to be more productive, integrating data wherever it lives and delivering data that’s ready for AI and analytics.

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).
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Comparisons

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Reviews From Top Reviewers

(1-5 of 137)

My Honest Opinion on Matillion ETL.

Rating: 9 out of 10
May 02, 2025
Vetted Review
Verified User
Matillion
1 year of experience
We use Matillion for a lot of data jobs and schedules as data engineers. Most of the stuff is where we are loading our production tables in our data warehouse based on Redshift. Staging data from different APIs, so a lot of Python components and SQL components. Now we have started using shared jobs, so a lot of repetitive stuff is done in shared jobs. We try to have fewer schedules. We also try to schedule stuff in our main data pipelines, such as every hour, week, month, and day.

Matillion is perfect for fast, scalable ETL

Rating: 9 out of 10
January 02, 2025
Vetted Review
Verified User
Matillion
3 years of experience
We use our own AWS instance to run Matillion ETL, and it has made our lives infinitely easier. Bringing in new data is a breeze, as well as setting up increasingly complex data pipeline tasks. From our oldest SQL servers long overdue to be retired to the latest APIs, it takes minutes to stage new data, and it makes tricky problems easy. Hard to imagine a world where we didn't have Matillion.

Matillion review

Rating: 7 out of 10
May 13, 2025
Vetted Review
Verified User
Matillion
3 years of experience
Matillion ETL is being used by our datamanagement team for the ingestion of data from our organisation into the datawarehouse in Snowflake and for transforming this data through the datawarehouse to the accès layers for our end users

My experiences using Matillion

Rating: 9 out of 10
January 10, 2025
Vetted Review
Verified User
Matillion
2 years of experience
We totally rebuilt our legacy data warehouse software and built a datalake in Matillion using Snowflake as a database. Before that we used Informatica PowerCenter on premise. Although Informatica also offered a cloud solution (IICS) which offered more flexibility, we switched to Matillion because it met all our wishes to set up a metadata-driven data warehouse. Iterating through (meta) data in Matillion is very simple and the results can be used as variables in almost all Matillion components. So if the data definitions of our sources change we only have to change metadata and almost never software anymore. There are also components available that can read metadata from out source systems, so if a column in a table in the source system is added then it also automatically added to our datalake and data warehouse
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