Matillion

Use Cases

• Cloud‑Native Data Integration & ELT: Centralizing data from hundreds of SaaS apps, databases and files into Snowflake, Redshift, BigQuery, Azure Synapse or Databricks, then pushing down transformations inside the warehouse for analytics and reporting.

• Modernizing Legacy ETL & Data Warehouses: Replacing on‑premises ETL tools and traditional ETL servers with Matillion’s cloud‑native ELT, reducing infrastructure overhead while improving scalability and performance for enterprise BI programs.

• AI & ML Data Pipelines: Building reliable, repeatable pipelines that feed machine learning and generative AI workloads—using Matillion to orchestrate feature engineering, data enrichment and continuous data loading into lakehouse environments such as Delta Lake on Databricks.

• Self‑Service for Data & Analytics Teams: Enabling mixed teams of data engineers, analytics engineers and business analysts to collaborate through a low‑code visual designer plus support for SQL, Python and dbt, speeding up delivery of dashboards, metrics layers and data products.

• Multi‑Cloud & Hybrid Data Ops: Coordinating data movement and transformation across multi‑cloud environments (AWS, Azure, Google Cloud) while maintaining governance and version control through native Git integration and centralized orchestration.

• Vertical Analytics Solutions: Supporting industry‑specific use cases such as financial reporting, customer 360, supply‑chain analytics and life‑sciences data pipelines for customers like Western Union, National Grid, Peet’s Coffee, St. James’s Place, Merck and GE Healthcare.

Customers & Markets

Matillion targets mid‑market and enterprise organizations that have standardized on modern cloud data platforms and need to integrate data from large numbers of sources (often 1,000+ per enterprise) into centralized analytics and AI environments. The company reports “hundreds” of large enterprise customers and “thousands” of customers overall, including brands such as Cisco, DocuSign, Western Union, Slack, London Stock Exchange Group, Sony, FOX, National Grid and TUI.

Revenue reached about 75–84 million dollars in 2024, growing roughly 30+ percent year over year as Matillion expanded from around 350 employees in 2021 to an estimated 400–570 employees distributed globally. Geographic revenue is roughly split 45 percent Americas, 35 percent EMEA and 20 percent APAC, reflecting strong adoption in North America and Europe with growing penetration in Asia‑Pacific. Competitive peers include Fivetran, Informatica, dbt Cloud, Talend and newer cloud‑native integration players, but Matillion differentiates by focusing specifically on cloud ELT and AI‑augmented “data productivity” for enterprise data teams.

Research, Partnerships & Innovations

Matillion’s R&D focuses on cloud‑native ELT, AI‑assisted data engineering and data productivity—reducing the time and effort required to build and maintain production‑grade data pipelines. The company positions its platform as a “data operating system” or Data Productivity Cloud that lets enterprise teams source, enrich and share data collaboratively, closing information gaps and accelerating time‑to‑insight for BI, AI and ML. Recent innovation centers on Maia, an AI Data Automation / agentic data engineering platform that uses large language models to generate and optimize pipelines, orchestrate tasks and automate repetitive engineering work while running natively on customers’ existing cloud ecosystems.

Strategically, Matillion maintains deep partnerships with major cloud data platforms. It is a long‑standing Snowflake partner and was named Snowflake FY2021 Technology Partner of the Year for Data Integration. The company also works closely with Databricks—winning an ISV Innovation Award and launching Matillion ETL for Delta Lake—and has solution templates and Marketplace offerings for AWS and Azure to simplify deployment and billing. Investor partnerships with General Atlantic, Battery Ventures, Sapphire Ventures, Scale Venture Partners and Lightspeed provide capital and go‑to‑market support as Matillion evolves from ETL tooling toward an AI‑infused data productivity layer for the modern data stack.

Key People

• Matthew Scullion – Founder & Chief Executive Officer: Founded Matillion in 2011 after 15 years in commercial IT and systems integration, and now leads its vision as a data productivity and AI data automation provider. Scullion sits on the London Stock Exchange Capital Markets Industry Taskforce and has been recognized as EY UK Entrepreneur of the Year and a Datanami “Person to Watch”.

• Ed Thompson – Co‑Founder & Chief Technology Officer: Former IBM software consultant who spent 11 years working with UK blue‑chip companies before co‑founding Matillion with Scullion in 2011. Thompson led development of the flagship Matillion ETL product launched in 2014 and now drives the technical roadmap, including AI‑driven features and the Maia agentic data engineering initiative.

• Tim O’Neil – Chief Revenue Officer (CRO): Enterprise data software veteran with leadership roles at Alation and ThoughtSpot, appointed CRO in 2026 to scale Matillion’s enterprise go‑to‑market as adoption of the Maia AI Data Automation platform accelerates. O’Neil focuses on consumption‑based growth and aligning revenue teams around AI‑driven data outcomes for customers such as Merck, EDF and GE Healthcare.​

• Eric Benson – Former CRO (Cloud GTM Executive): Cloud veteran and former AWS executive who served as CRO starting 2024, bringing more than a decade of experience in enterprise cloud sales, business development and digital‑native strategy from AWS and VMware. Benson helped shape Matillion’s consumption‑based go‑to‑market motion and channel strategy for its Data Productivity Cloud.