Matillion develops cloud-native data integration software for teams that need to move, transform, orchestrate, and operationalize data for analytics and AI. Its portfolio centers on Data Productivity Cloud and Maia, combining AI-assisted pipeline creation with low-code and code-optional development, broad connectivity, pipeline management, and cloud pushdown processing.
Matillion is built for modern cloud data environments and supports hosted SaaS, hybrid SaaS, and Snowflake-native deployment models. Its products are used by enterprise data teams that want to reduce manual engineering work, accelerate delivery of business-ready data, and scale data operations for both established analytics programs and newer AI-driven use cases.
Offerings, Capabilities, and Integrations
Matillion combines data ingestion, transformation, orchestration, observability, and AI-assisted workflow development in a unified cloud platform. Its capabilities span no-code and low-code pipeline design alongside SQL, Python, and dbt-based development, giving teams flexibility across different skill levels and operating models.
The platform emphasizes broad source connectivity, pre-built and custom connectors, scheduling, centralized pipeline visibility, Git-based collaboration, and data lineage. Its architecture is designed around pushdown execution so processing stays close to the customer’s cloud data platform, supporting security, scale, and performance.
Matillion integrates closely with major cloud data ecosystems including Snowflake, AWS, Microsoft Azure, Google Cloud, Databricks, and Amazon Redshift. It also complements customer deployment preferences with full SaaS and hybrid SaaS options, plus services, training, and support to help teams implement and scale production data workflows.
Products and Services
- Data Productivity Cloud: Matillion’s flagship cloud-native platform for building and managing data pipelines, transforming data, and delivering business-ready data for AI and analytics.
- Maia: Matillion’s agentic AI data team that helps users build, maintain, and operate pipelines through natural language and workflow automation.
- Maia Team: A set of autonomous AI agents within Maia that handle repetitive data engineering work such as building, modifying, optimizing, and maintaining pipelines.
- Maia Context Engine: The Maia component that captures business rules, standards, and institutional knowledge so data products remain governed, reusable, and consistent as they evolve.
- Maia Foundation: The governed platform layer behind Maia that provides core services for pipeline design, runners, administration, observability, security, and scale.
- Matillion ETL: Matillion’s code-optional ETL product for cloud data integration and transformation, with observability, orchestration, and support for SQL, Python, and dbt workflows.
- Matillion Data Loader: A SaaS data loading service for batch and change data capture pipelines, designed to extract and load data quickly with no-code setup and near-real-time CDC options.
- Matillion Professional Services: Implementation and advisory services that help customers design architectures, build orchestration and transformation jobs, optimize performance, and accelerate rollout.
- Matillion Academy: Role-based training resources and learning paths for onboarding teams and building practical expertise across Matillion products and cloud data workflows.
- Matillion Support: Customer support offerings that combine self-service resources with contracted and premium assistance for troubleshooting, guidance, and operational continuity.
Target Customers
Matillion targets enterprise and upper-midmarket organizations that are modernizing analytics and AI on cloud data platforms. It is aimed at teams that need to integrate data from applications, databases, files, APIs, and operational systems while keeping delivery speed, governance, and scale under control.
Its primary users include data leaders, data engineers, data architects, data analysts, and business analysts. Matillion is especially well suited to organizations that want to reduce dependence on manual pipeline work, expand self-service data access, and support collaboration between technical and less technical users.
The company’s industry messaging and customer base point to strong fit in data-intensive sectors such as financial services, healthcare, retail, manufacturing, technology, and media, particularly where teams are standardizing on cloud ecosystems such as Snowflake, AWS, Microsoft Azure, Google Cloud, and Databricks.
Cloud Integrations and Marketplace
- AWS Marketplace: Matillion has a verified AWS Marketplace presence for Data Productivity Cloud subscription and Matillion ETL deployment and billing on AWS.
- Azure Marketplace: Matillion has a verified Azure Marketplace presence for Data Productivity Cloud and for launching Matillion ETL in Microsoft Azure environments.
- Snowflake Marketplace: Matillion has a verified Snowflake Marketplace presence, with Data Productivity Cloud deployable natively inside Snowflake.
- Google Cloud Marketplace: Matillion has a verified Google Cloud Marketplace presence through Matillion ETL for BigQuery, available via Google Cloud Marketplace and Launcher.
Key People
- Matthew Scullion: CEO
- Narayan Menon: President of Operations & CFO
- Ed Thompson: CTO
- Frank Weigel: Chief Product Officer
- Tim O’Neil: Chief Revenue Officer
- Mark Johnston: Chief Marketing Officer
- Tamar Elan: Chief People Officer
- Graeme Cantu-Park: CIO & CISO
- Kimberly Trull: General Counsel
Key Facts
- Headquarters: Denver, Colorado, United States and Manchester, England, United Kingdom
- Employees: Approximately 485-500 employees
- Annual Revenue: $92.6M
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: Private
Analyst Recognitions
- Gartner: 2025 Gartner Magic Quadrant for Data Integration Tools – Challenger.
