Our intelligent unified platform is built to handle complex enterprise-level data integration needs. Teams can streamline workloads, with one centralized place to build and manage pipelines, for a truly integrated experience. Leverage AI to accelerate pipelines and make your team more productive, freeing up time to focus on innovation.
Transform raw data into business insights
Data Transformation
Automation & Management
Data Connectivity
Batch loading. Automate data pipelines with no coding required.
Change Data Capture. Replicate database changes as they occur with log-based data capture.
Connector library. Access 150+ connectors for popular sources.
Custom Connector. Seamlessly connect any application using a no-code open REST API.
Robust connectivity. Easily bring in unstructured, semi-structured, and structured data.
Enhance productivity with powerful new AI capabilities. Use unstructured data in analytics, build pipelines for emerging AI use cases and position your team at the forefront of innovation.
Load data into vector stores and enable Retrieval Augmented Generation (RAG) in pipelines to look up vector store data without code. Contextualize business insights to augment LLMs with accurate and actionable outputs.
Prompt components
Bring Large Language Models (LLMs) directly into data pipelines to transform and enrich any data type. Easily extract insights from structured, semi-structured, and unstructured data alike.
Reverse ETL for AI
Bring AI back into business processes to streamline operations and ramp up productivity. Reverse ETL into source systems, summarize transcripts using LLMs in data pipelines and much more.
Lineage for AI
Trace data lineage on AI pipelines to detect anomalies and make AI outputs explainable. Proactively address issues with a clear and detailed lineage view for quicker troubleshooting and debugging.
Universal connectivity
Get started instantly with over 150 pre-built data connectors. Create your own custom connector to pull data via REST API, or ask us to build a Flex Connector and we'll deliver in days.
A truly cloud-native approach, our unique stateless microservices agents can run in full SaaS or hybrid SaaS mode. Let massive amounts of agents work in parallel to process faster, or use fewer agents for a longer time if you want to take things slower.
Built for cloud data platforms
The Data Productivity Cloud is purpose-built for cloud data platforms including Snowflake, Databricks and Amazon Redshift. Completely native pushdown architecture allows you to take full advantage of the cloud data platform’s enhanced performance and processing capabilities, with limitless scalability.
Snowflake
Speed, performance, and scalability of Snowflake with native integration of key features and functions.
Matillion is committed to the security of your data with pushdown architecture that means data never leaves your cloud platform. Our secure-by-design architecture allows Matillion to run as hosted SaaS, as a hybrid deployment, or even inside Snowflake itself.
Security features include Single Sign-On (SSO), Multi-Factor Authentication (MFA), and Role-Based Access Control (RBAC).
Matillion simplifies and automates data movement, allowing you to bridge the skills gap for data transformation, and handle the complexity of pipeline orchestration at scale.
Unlimited Performance
Process concurrent tasks at lightning speeds and huge scale using containerized agents.
Unlimited users
Remove the limitations of paying per user and empower everyone to build data pipelines, at any time.
Unlimited projects
Have all your projects in one place and collaborate with colleagues through integration with Git.
Reliability at scale
Experience 99.9% uptime through our fault-tolerant agent model and paired cloud data centers.
Optional hybrid deployment
Optional hybrid-SaaS deployment architectures available for customers needing to meet the strictest security requirements.
Transparent pricing
Pay-as-you-go pricing that is metered by agents running per hour, giving you the flexibility to run tasks faster with more agents, while paying the same.