Matillion

• Extract data from many sources
• Load data into modern cloud data warehouses and lakehouses
• Transform and automate data pipelines to produce business-ready data

History and growth

• Founded in 2011, with origins in the UK
• Evolved from building cloud data warehouses and ETL jobs for customers to launching its own ETL tools
• Introduced Matillion ETL for major cloud data platforms such as Amazon Redshift, Google BigQuery, Snowflake, and Azure Synapse
• Launched Matillion Data Loader and the Data Productivity Cloud as part of its broader platform
• Has grown into a global company serving thousands of enterprises worldwide

Locations

According to the company's About page:

• Matillion was founded near Manchester, UK
• The company operates as a distributed team with dual headquarters in Denver (USA) and Manchester (UK)

Customers

Matillion's products are used by data and analytics teams at many enterprises globally, across industries such as financial services, technology, travel, and more. Example customers highlighted on the website include companies like Cisco, DocuSign, St. James's Place, Slack, and TUI.

(The specific customer list may change over time; always refer to the Matillion website for the most current references.)

Recognition

Matillion has been recognized by various industry awards and rankings in areas such as big data, data integration, and high growth (for example, CRN Big Data 100, Data Breakthrough Awards, and FT1000 listings, as described on the About page).

Matillion products are designed to:

• Ingest data from many different sources
• Load data into modern cloud data platforms
• Transform raw data into analytics-ready, business-ready data
• Automate and orchestrate data pipelines at scale

Core platforms

Matillion Data Productivity Cloud

Matillion Data Productivity Cloud is the core cloud-native platform for building, running, and managing data pipelines. It provides:

• A low-code canvas plus SQL/Python components for pipeline design
• Orchestration and transformation for analytics and AI workloads
• Built-in Git-based version control
• Pre-built connectors to common data sources
• Support for leading cloud data warehouses and lakehouses

Maia by Matillion (AI Data Automation)

Maia is Matillion's AI Data Automation platform. It is designed to:

• Act as an agentic data team that builds, manages, and orchestrates pipelines
• Automate repetitive data engineering work so teams can focus on higher-value tasks
• Create, manage, and evolve data products for humans and AI agents at scale

Maia works with the Matillion Data Productivity Cloud across the available plans.

Matillion ETL

Matillion ETL is Matillion's data transformation product designed for cloud data warehouses. It helps customers:

• Extract data from a wide range of sources
• Load data into supported cloud data platforms
• Transform data from siloed source formats into analytics-ready datasets

Matillion ETL is purpose-built for leading cloud data platforms such as:

• Snowflake
• Amazon Redshift
• Google BigQuery
• Microsoft Azure Synapse
• Databricks (Delta Lake)

Connectors and ecosystem

Matillion provides:

• Pre-built connectors for many common SaaS applications, databases, and files
• Support for custom API connector development
• Documentation, how-to guides, and reference material for existing customers

For detailed product capabilities or compatibility questions, refer to Matillion's official documentation or contact Matillion directly.

Purpose of Matillion Services

Matillion Professional Services and training are designed to help customers:

• Accelerate time-to-value with Matillion products
• Design and implement scalable data architectures and pipelines
• Optimize performance and reliability
• Build in-house expertise across data and analytics teams

Services are delivered by Matillion experts and partners.

Core service areas

Architecture reviews

• Review and optimize ELT and data architectures
• Validate data flows for scalability, efficiency, and reliability

Development support

• Help design and refine orchestration and transformation jobs
• Support building and hardening production-ready pipelines

Ongoing collaboration

• Ongoing project and deliverable reviews
• Best-practice guidance throughout the project lifecycle

Training and enablement

Matillion offers training aimed at quickly onboarding new users and deepening skills across roles.

Key aspects:

• Role-based learning paths for different team members
• Options for dedicated, instructor-led training for your organization
• Public training courses for individuals and small teams (cost-effective for smaller groups or new hires)

Tailored ETL and platform services

Matillion experts can provide:

• Initial setup and configuration guidance
• Best practices for building and operating pipelines
• Performance tuning for platforms such as Snowflake, Amazon Redshift, Google BigQuery, Databricks, and others
• Functionality overviews and enablement on Matillion components
• Custom build services for workflows and integrations
• Custom API connector development to extend Matillion with your own connectors

How to engage Matillion Services

To explore or purchase professional services or training:

• Visit the Services and training area of the Matillion website
• Use the Get started with services or Talk to a Matillion expert options to contact the team

Specific service scopes, timelines, and pricing are agreed directly with Matillion and are not listed in detail on the public site.

Credits are primarily consumed by:

• Task hours – execution time for tasks created when pipelines run (orchestration, transformation, streaming, and other operations that run a pipeline)
• Additional developer users – any developer users beyond those included with your edition

Validation, sampling, and similar non-execution activities are not billed as task hours.

You can monitor credit usage within Matillion and purchase additional credits if needed.

Editions

Matillion Data Productivity Cloud is available in three main editions. Each edition includes a set number of developer users and features; all use the same credit-based consumption model.

Developer edition – for individuals

Designed for individuals and light workloads, with essential features for building pipelines.

Key characteristics (as described on the pricing page):

• 1 developer user (with unlimited admin users)
• Unlimited projects
• Pre-built connectors
• Low-code canvas plus SQL/Python components
• Built-in Git repository
• Full SaaS deployment (no infrastructure to manage)

Teams edition – for growing teams

Built for teams that are scaling data projects and need collaboration and operational features.

Key characteristics:

• 5 developer users (with unlimited admin users)
• All features in the Developer edition
• Audit log
• Service Level Agreement (SLA) with standard customer support

Scale edition – for large organizations

Designed for mission-critical, enterprise-scale data operations.

Key characteristics:

• All features in the Teams edition
• Advanced security, including support for custom SSO
• Hybrid cloud deployment options
• Streaming change data capture (CDC)
• Data lineage tracking
• Extended log retention options (longer retention than Teams)
• Bring-your-own Git integration
• Option for Premium Support

Contracting options

Customers can typically contract with Matillion in two main ways:

• Directly with Matillion
• Through supported cloud marketplaces such as AWS, Azure, or Snowflake

Getting exact pricing

The Matillion website does not list per-credit or subscription prices. For exact, up-to-date pricing, discounts, or commercial terms:

• Use the Talk to sales option on the Matillion pricing page, or
• Contact Matillion through their official sales or contact forms.

The agent cannot quote specific prices or contractual terms beyond what is published on the Matillion website.

Key industries highlighted on the website

Based on the Matillion Solutions by Industry content, Matillion is used in (among others):

Financial services

• Banking, insurance, and capital markets
• Integrating data to support customer experience, compliance, risk, and fraud management
• Building a single view of customers and risk using trustworthy data

Healthcare

• Collecting and unifying large volumes of healthcare data
• Supporting improved patient outcomes and deeper clinical and operational insights
• Modernizing healthcare operations through better data access

Retail

• Responding quickly to customer and market changes
• Improving personalization, segmentation, and cross-sell opportunities
• Creating a single view of inventory and supply chain

Technology and software

• Unifying diverse product, usage, and customer data
• Supporting better decision-making and next-generation digital products and services

Communications and media

• Turning high-volume data from networks and systems into insights
• Accelerating Customer 360 initiatives and personalized experiences
• Supporting new revenue-generating services and cost optimization

Manufacturing

• Unifying data to streamline operations and supply chains
• Identifying key customers and suppliers
• Supporting innovation and data-driven decision-making

Cloud data platforms Matillion focuses on

Matillion's platforms are purpose-built for leading cloud data environments, including:

• Snowflake
• Amazon Redshift
• Google BigQuery
• Microsoft Azure Synapse
• Databricks (Delta Lake)

These environments are commonly used across industries for modern analytics and AI workloads.

When to consider Matillion by industry

Organizations commonly look at Matillion when they:

• Need a scalable, cloud-native way to integrate and transform data for analytics and AI
• Are standardizing on a modern cloud data warehouse or lakehouse
• Want to reduce manual, repetitive data engineering work with automation and AI assistance
• Need faster time-to-value for data integration projects across departments or business units.

Ask anyway — the agent will say plainly that it is not published rather than guess.