About Us

Passionate about data and the cloud since 2011.

Matillion is data transformation for cloud data warehouses

Matillion exists because we believe in a few fundamental truths:

  • Every business needs to compete using data
  • Given the volume and complexity of data, and the speed and scale needed to handle it, the only place you can compete effectively (and cost-effectively) is in the cloud
  • In the cloud, you must have three elements in order to take full advantage of your data and gain fast time to insight:
    1. Your data – all of it
    2. A cloud data warehouse
    3. A way to bring that data into the cloud data warehouse, and transform it to make it useful for analytics

We provide a complete data integration and transformation solution that is purpose-built for the cloud and cloud data warehouses.

How did we get here?

  • 2011

    Matthew Scullion and Ed Thompson, believing that the future of business intelligence is in the cloud, leave their comfortable jobs to start their own company.

    On day one, in the countryside outside of Manchester, UK, Ed starts writing code for the main builder for Matillion's first product, whilst Matthew creates the core values on which the company will be founded.

    Matillion provides turn-key business intelligence analytics as a service in the AWS cloud. In other words, they create dozens of data warehouses in the cloud.

  • December 2012 
    Amazon introduces Amazon Redshift. 

  • 2013

    August 2013
    After an all-night hackathon in Knutsford, Matillion migrates its BI solution to Amazon Redshift. They become experts in handling data and BI on the new platform.

  • 2014
    After building dozens of cloud data warehouses, building and running thousands of ETL jobs in Amazon Redshift, and getting millions of rows of data ready for analytics, Matillion realizes two things. First, complex data transformation needs the speed, scale, and economics of the cloud. Second, no existing ETL tool really does this well.

    February 2014
    Matillion decides to build their own tool: Project Emerald begins.

  • 2015

    January 2015
    Matillion launches Emerald, its internal tool purpose-built to bring data into the cloud data warehouse and transform it there.

    October 2015
    A polished-up version of Emerald debuts worldwide on the AWS Marketplace as Matillion ETL for Amazon Redshift.

  • 2017

    June 2017 
    Matillion ETL for Google BigQuery launches.

    November 2017
    Matillion ETL for Snowflake launches.

  • 2019

    December 2019
    Matillion Data Loader launches.

  • 2020

    May 2020
    Matillion launches for Microsoft Azure Synapse

Become part of the story, join our team!

Matillion today

Today, Matillion currently has more than 650 employees and growing, working between dual headquarters in Denver and Manchester. The company helps organizations of all sizes, around the globe and across industries, integrate and transform data with our products:

  • Matillion ETL for Amazon Redshift (available on the AWS Marketplace)
  • Matillion ETL for Snowflake (available on the AWS, Azure, and GCP Marketplaces)
  • Matillion ETL for Google BigQuery (available on the Google Cloud Marketplace)
  • Matillion ETL for Microsoft Azure
  • Matillion ETL for Delta Lake on Databricks
  • Matillion Data Loader

Even though the Matillion team is spread around the globe, we still like to meet up at our Manchester headquarters once a year for company planning and training, good conversation, darts, and to enjoy the British weather.

Matillion core values

We are confident without arrogance

We take pride in what we do but we stay humble.

We work with integrity

We have a strong moral compass; we are transparent, and we hold ourselves to account.

We are customer obsessed

We will always go above and beyond, to listen to, acknowledge and value our customers.

We innovate and demand quality

We believe no product, process or individual is finished.

We have a bias for action

We get things done... in a considered way

We care about our people and our communities

We treat people how we would like to be treated

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