Sold by: Matillion
Deployed on AWS
Free Trial
Vendor Insights
Matillion Data Productivity Cloud is a powerful, cloud-native platform for integrating and transforming data at scale. Designed for data teams, it enables efficient ELT pipelines with simple data loading and pushdown transformations, integrating seamlessly with AWS Redshift, Snowflake, and Databricks. Matillion supports advanced workloads with no-code interfaces and AI-driven tools, simplifying data engineering while delivering cost savings and performance optimization. With enterprise-grade security and compliance, it accelerates decision-making, enhances collaboration, and ensures reliable data operations at scale.
Overview
Matillion Data Productivity Cloud is a powerful, cloud-native data integration and transformation platform that enables data teams to build scalable, high-performance pipelines. Purpose-built for cloud data platforms like AWS Redshift, Snowflake, and Databricks, Matillion supports efficient ELT processes that streamline data engineering and accelerate time to value.
KEY FEATURES & BENEFITS:
Advanced Features for Data Engineers
Features like SQL pushdown, Python scripting, and custom functions enable data engineers to build scalable, high-performance ELT pipelines. Integration with Git and CI/CD workflows ensures smooth collaboration and seamless deployment across teams, enhancing productivity and reducing complexity.
No-Code Interface for Business Analysts
A no-code platform, Matillion empowers non-technical users to build, manage, and optimize sophisticated data pipelines without the need for deep technical expertise. This democratizes data loading and transformation, reducing reliance on specialised IT resources and speeding time-to-insight.
Seamless AWS Integration
Native integration with AWS services like Amazon S3 for data staging, EC2 or Fargate for deployment, and Lambda for event-driven automation, ensures frictionless data movement and scalability. This integration supports modern data strategies at scale, ensuring that organizations can leverage efficient ELT processes while maintaining agility in their cloud infrastructure. Streamlined data workloads and cost-efficient processing reduce operational overhead while enhancing time-to-value.
AI-Powered Data Transformation with AWS Bedrock
Integration with AWS Bedrock brings no-code AI functionality into data workloads, enabling easy data enrichment, classification, and quality checks through a graphical Large Language Model (LLM) prompt component. Matillion simplifies and scales unstructured data workflows, delivering faster results without coding complexity. AI-powered components, such as Pinecone Vector Upsert for retrieval-augmented generation (RAG), automate complex data tasks, providing intelligent insights and enabling organizations to future-proof their data operations.
Scalability Across Platforms
Matillion scales effortlessly across AWS and cloud data platforms, handling increasing data volumes without compromising performance. Its architecture is designed to adapt to growing workloads, ensuring operational efficiency as data pipelines and cloud infrastructure expand.
Enterprise-Grade Security and Compliance
Matillion follows best practices in security and compliance, with encryption in transit and at rest. It integrates with AWS IAM, Snowflake role-based access controls, and the Databricks Unity Catalog for fine-grained access management to ensure secure data handling. Adherence to compliance standards such as SOC 2, GDPR, and HIPAA provides peace of mind for businesses handling sensitive data.
Streamlined Data Workloads
With real-time alerts, monitoring, and orchestration, Matillion reduces operational overhead, enabling teams to focus on delivering business value. Its intuitive interface and automation features minimize downtime and troubleshooting, making data pipeline management more efficient and less resource-intensive.
Cost Efficiency and Flexibility
A pay-as-you-go pricing model on AWS Marketplace allows businesses to optimize costs while achieving faster insights. By minimizing data movement and pushing down transformations to the cloud data platform, Matillion reduces compute costs, making it a cost-effective solution for scalable cloud-based data management.
Highlights
- Visual Data Integration: Design sophisticated data flows visually without extensive coding
- Automated Data Transformation: Automate data transformations with intelligent assistance
- Simplified Data Management: Manage data pipelines easily with cloud-native solution
Details
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Skip the manual risk assessment. Get verified and regularly updated security info on this product with Vendor Insights.
Security credentials achieved
(3)
ISO27001
SOC2
PCIDSS
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Usage in cent of the product | $0.01 |
Dimensions summary
Matillion Data Productivity Cloud uses a consumption-based pricing model measured in credits. The platform charges based on actual compute resources consumed during data execution of data pipelines. Matillion's AWS Marketplace integration is carefully designed to allow billing through AWS without sacrificing the power of Matillion's usage aggregation and pricing. This is achieved by computing pricing on the Matillion side and reporting the total due to AWS Marketplace in the form of a usage-based charge that costs $0.01 per unit.
Top-of-mind questions for buyers like you
How does Matillion's credit-based pricing work on AWS Marketplace?
Matillion uses a consumption-based model where Credits are charged based on product usage. When Matillion charges are generated, either through Paygo or contract subscriptions, the total due is reported to AWS Marketplace in the form of a usage-based charge that costs $0.01 per unit.
How can I estimate my monthly usage costs?
Your monthly costs depend on the volume and complexity of your data workflows. Matillion provides monitoring tools to track credit consumption in real-time, and you can start with a small project to understand your usage patterns before scaling up operations.
Vendor refund policy
Refunds are not provided, but you can cancel at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Get the peace of mind that your team can deliver critical data on time. Matillion Support provides a world-class experience through expert assistance and proactive community engagement to help with your data productivity.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Matillion
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Integration Capabilities
Supports efficient ELT processes with SQL pushdown, Python scripting, and custom functions for building scalable data pipelines
Cloud Platform Compatibility
Native integration with cloud data platforms including AWS Redshift, Snowflake, and Databricks with seamless data movement capabilities
AI-Powered Transformation
Incorporates AI functionality through AWS Bedrock integration, enabling data enrichment, classification, and quality checks using Large Language Model components
Security and Access Management
Implements enterprise-grade security with encryption, integration with AWS IAM, role-based access controls, and compliance with standards like SOC 2, GDPR, and HIPAA
Workflow Automation
Provides no-code interface with real-time alerts, monitoring, and orchestration features for streamlined data pipeline management
Data Integration Methodology
Supports both ETL and ELT data integration patterns with codeless visual development interface
Cloud and On-Premises Connectivity
Enables connection to hundreds of cloud and on-premises data sources including AWS services, enterprise applications, and databases
Parallel Data Processing
Utilizes highly scalable parallel data integration architecture for optimized data loading and processing
Connector Ecosystem
Provides multi-tier connectors supporting file systems, databases, cloud storage, and enterprise applications across Tier B, C, and D categories
FedRAMP Compliance
Offers FedRAMP-compliant integration services with specific security and regulatory requirements for government cloud environments
Data Source Connectivity
Secure connection to multiple AWS data sources including Amazon S3, Amazon Redshift, and Amazon RDS
Elastic Compute Processing
Scalable data and machine learning processing powered by Amazon EKS supporting Python, R, Spark, and multiple programming environments
AI Service Integration
Pre-built workflows integrating with AWS AI services like Amazon SageMaker and Amazon Comprehend
Large Language Model Connectivity
LLM Mesh capability for connecting to Amazon Bedrock to support Chat, Retrieval-Augmented Generation (RAG), and Agentic workflows
Collaborative Analytics Platform
Visual platform enabling distributed creation of advanced analytics with collaboration between technical and non-technical teams
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
-
-
-
No security profile
No security profile
Standard contract
No
No
No
Customer reviews
4.4
5 ratings
5 AWS reviews
|
85 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
DIEGOENCINALES
Utilize data systems securely and efficiently while connectivity issues require attention
Reviewed on Apr 14, 2025
Review provided by PeerSpot
What is our primary use case?
I primarily use Matillion Data Productivity Cloud for ingest functions. In one client's case, we switched from typical AWS tools and changed all of the blueprints and architecture to use Matillion Data Productivity Cloud for ingesting information from GCP and reading SQL data.
What is most valuable?
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations. Its integration with existing environments, utilizing security measures like VPN and VPCs, makes it a secure choice. However, its features are not notably different from other products in the market.
What needs improvement?
There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raised this issue with Matillion's support, but the solution is pending with their research team.
For how long have I used the solution?
I have been working with Matillion Data Productivity Cloud for two years.
What do I think about the stability of the solution?
Matillion Data Productivity Cloud is stable and functions reliably as a product.
What do I think about the scalability of the solution?
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity. However, the limitation is the number of parallel jobs due to the direct relation to the cores on the machine.
How are customer service and support?
Matillion's technical support is excellent. They communicate effectively and respond quickly to all inquiries.
How was the initial setup?
The initial setup is straightforward. We completed the foundations process using Infrastructure as Code (IaC ), which standardizes and simplifies the deployment process.
What was our ROI?
In terms of ROI, one client found that using Snowflake tasks was more cost-effective than Matillion's credits cost. Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
What's my experience with pricing, setup cost, and licensing?
While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
Which other solutions did I evaluate?
In many cases, clients consider buying a product from the same hyperscaler for an end-to-end solution, such as Microsoft Fabric .
What other advice do I have?
While Matillion Data Productivity Cloud can be valuable, it is challenging to recommend due to its pricing and limited clientele in regions like Spain. Overall, I would rate Matillion as a six out of ten.
Which deployment model are you using for this solution?
On-premises
Syed A.
Good SaaS ETL Tool
Reviewed on Mar 13, 2025
Review provided by G2
What do you like best about the product?
Matillion's simple UI makes user comfortable to configure and easy to understand the flow. And it's well maintained configuration section is a big plus for this platform. So even new users can easily understand this platform's features and design. Additionally Matillion providing learning materials and courses for beginners to understand their tool and the topics in the course also few, because they teaching only necessary topics which can help beginners to work in their platform as a professional.
What do you dislike about the product?
Matillion doing good in their pathway of Data Engineering, but some drawbacks I have noticed is it's API limitations. Basically Matillion providing API to retrieve metadata from their system, but when it's come to Administrative API's which is something administrator access only features they not provided sufficient APIs for that. And one more dislike in it's designer console, some of the components are working as expected.
What problems is the product solving and how is that benefiting you?
Basically Matillion is a ETL tool which works as usual in the Data Engineering field. But apart from that it has many advantages related to Administrative features. They are having a hub which serves billing data in a decent way. Basically teaching a technology/tool to beginners is a big headache especially in Data Engineering, because here everyone is working on top of data only. If anything goes wrong then the whole production got trouble. So in this scenario Matillion solves the teaching in a simple way as they are providing courses to learn their tools and also they are providing free trials to practice the learning. This is a very good initiative from Matillion. And the courses also very simple and contains required details only about the tool. This will stop beginners to lead to confusions, because of required content.
Jeberson D.
It on e of the easy etl tool to learn.
Reviewed on Dec 10, 2024
Review provided by G2
What do you like best about the product?
Its more use in etl,elt,etlt process I used it for 4 years
What do you dislike about the product?
Its not afree tool that a diske in matillion.
What problems is the product solving and how is that benefiting you?
it transfer json data to table form.
Nikhil L.
Robust ETL Platform with Very Good Cloud Integration
Reviewed on Nov 22, 2024
Review provided by G2
What do you like best about the product?
What I like best about Matillion is its seamless integration with major cloud platforms like AWS, GCP and Azure. This is very user friendly platform for ETL. It's visual interface makes complex workflows look easier. It offers great scalability, making it suitable for big and small scale users. It helps to reduce the complexity of ETL Process with its no code working ability.
What do you dislike about the product?
One area where Matillion could improve is making complex data sources more streamlined for integrations. Also It's pricing model, It become much more expensive when data volume grows.
What problems is the product solving and how is that benefiting you?
Matillion simplifies the ETL process. It allows us to complete complex data pipelines without needing coding expertise. It solves the problem of transforming large data volumes from various sources and loading in cloud data warehouse with ease. It solves seamless integration with cloud platforms like AWS, GCP and Azure.
Information Technology and Services
Matillion ETL: A powerful tool for Cloud Data Transformation
Reviewed on Sep 13, 2024
Review provided by G2
What do you like best about the product?
My overall experience with Matillion had been exceptional.It has a very easy to use and interactive interface.
It provides a large variety of pre-built connectors which helps in quickly and effectively executing complex data pipelines. Their customer support is also amazing.
It provides a large variety of pre-built connectors which helps in quickly and effectively executing complex data pipelines. Their customer support is also amazing.
What do you dislike about the product?
It is costly as compared to other ETL tools as it provides variety of features.
CICD compatibility is not good.
CICD compatibility is not good.
What problems is the product solving and how is that benefiting you?
It is helping me in Complex Data transformation and loading data from one cloud platform like AWS to other like Snowflake.