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Matillion Data Productivity Cloud vs Tray.io comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.5
Matillion Data Productivity Cloud saves time and reduces costs, offering a rapid ROI and improved efficiencies with integrated platforms.
Sentiment score
5.3
Tray.io's automation cut tasks by 80%, saved 40 weekly hours, and increased renewals, despite engineer cost concerns.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
Technology Transformation Specialist at SDG Group
I have seen a return on investment as the company has been renewing the product for the entire 19 months we have been using it, which indicates that trust is high and they likely see value and advantage in using the system.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
It has even eliminated a position on our team because that person was no longer needed once we started the automations.
Applications Analyst at a healthcare company with 1,001-5,000 employees
 

Customer Service

Sentiment score
7.6
Matillion Data Productivity Cloud excels in service and support with fast response, comprehensive resources, and high customer satisfaction.
Sentiment score
4.8
Tray.io's platform is user-friendly, but those needing support find it adequate, with newsletters and updates being particularly helpful.
They communicate effectively and respond quickly to all inquiries.
Technology Transformation Specialist at SDG Group
I have never used the customer support for Tray.io because the software is very easy to use and we never needed to contact support.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.4
Matillion Data Productivity Cloud effectively scales with cloud resources and databases, though managing multiple nodes can be challenging.
Sentiment score
7.0
Tray.io scales well for large operations but struggles with increased complexity, affecting data processing in extensive deployments.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
Technology Transformation Specialist at SDG Group
We were able to deploy it from a small company within Tata with 200 people to what is now a multinational company with 92,000 people globally.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
The benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated.
Operations Analyst at a tech vendor with 51-200 employees
Tray.io's scalability is very good.
Software Engineer at a tech vendor with 1,001-5,000 employees
 

Stability Issues

Sentiment score
7.9
Matillion Data Productivity Cloud is stable and effective, with responsive support; hardware or configurations occasionally cause issues.
Sentiment score
7.8
Tray.io is stable and reliable, with challenging setup but performs well, despite some memory limitations affecting workflow processing.
In my experience, Tray.io is stable, as we have never experienced issues with it failing or being unavailable.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
The biggest issue we have with Tray.io is that it runs out of memory space and does not process all of our workflows.
Applications Analyst at a healthcare company with 1,001-5,000 employees
Tray.io is stable, considering the number of workflows we automate.
IT Engineer at a consumer goods company with 51-200 employees
 

Room For Improvement

Matillion needs frequent API updates, improved UI, better documentation, more integrations, enhanced scalability, and real-time data capture.
Tray.io should enhance user-friendliness, debugging, documentation, pricing, integrations, and data handling for non-technical users and mid-market needs.
Connections to BigQuery for extracting information are complex.
Technology Transformation Specialist at SDG Group
The main areas for improvement are AI features and scalability.
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
When an automation fails, it usually provides the JSON format, and if Tray.io could include a summary of what the actual error entails, that would be quite beneficial.
IT Engineer at a consumer goods company with 51-200 employees
I believe Tray.io can be improved by offering integration with Tableau, which is still not available.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows.
Automation Engineer at a educational organization with 11-50 employees
 

Setup Cost

Matillion's pricing is competitive, flexible, and cost-effective, with discounts for annual commitments and strategic instance management.
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.
Technology Transformation Specialist at SDG Group
The pricing is moderate, neither expensive nor cheap.
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
No one has complained in the finance department, and it is very rare for Tata Motors to refrain from complaining about pricing.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Valuable Features

Matillion Data Productivity Cloud enhances ETL processes with user-friendly tools, automation, and security for efficient, scalable data management.
Tray.io offers robust automation with error handling, data integration, and seamless platform connectivity through a user-friendly low-code interface.
The predefined connectors eliminate the need to write code for connectivity.
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
Technology Transformation Specialist at SDG Group
The connector SDK is also very nice; it has a large library of pre-built connectors that can connect a lot of proprietary internal tools directly into Tray.io, allowing the developer to build, test, and deploy custom connectors using Node.js and integrate the data directly into Tray.io.
Automation Engineer at a educational organization with 11-50 employees
The logging and debugging features in Tray.io have helped us considerably, especially when dealing with APIs that return errors sometimes.
Operations Analyst at a tech vendor with 51-200 employees
Tray.io is low-code automation, meaning you do not have to be an expert in JSON to understand the components and create automations.
IT Engineer at a consumer goods company with 51-200 employees
 

Categories and Ranking

Matillion Data Productivity...
Ranking in Cloud Data Integration
13th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
AI Data Analysis (22nd)
Tray.io
Ranking in Cloud Data Integration
17th
Average Rating
7.2
Reviews Sentiment
5.4
Number of Reviews
6
Ranking in other categories
Process Automation (15th), Low-Code Development Platforms (19th), Integration Platform as a Service (iPaaS) (15th)
 

Mindshare comparison

As of July 2026, in the Cloud Data Integration category, the mindshare of Matillion Data Productivity Cloud is 5.5%, up from 3.1% compared to the previous year. The mindshare of Tray.io is 1.4%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Matillion Data Productivity Cloud5.5%
Tray.io1.4%
Other93.1%
Cloud Data Integration
 

Featured Reviews

Jitendra Jena - PeerSpot reviewer
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
Easy integration and workflow proposals streamline processes
The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Automated student enrollments have reduced manual work and now free our team for higher-value support
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Construction Company
8%
Construction Company
13%
Comms Service Provider
13%
Healthcare Company
10%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
By reviewers
Company SizeCount
Small Business4
Large Enterprise4
 

Questions from the Community

What is your experience regarding pricing and costs for Matillion ETL?
The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.
What needs improvement with Matillion ETL?
The main areas for improvement are AI features and scalability.
What is your primary use case for Matillion ETL?
For the ETL, we are using Matillion Data Productivity Cloud. We have skilled resources for Matillion Data Productivity Cloud, which is why we are using it. The infrastructure is provided by the cus...
What needs improvement with Tray.io?
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-ce...
What is your primary use case for Tray.io?
We used and evaluated Tray.io for approximately three to six months during a proof of concept evaluation phase. During this period, our engineering and operation teams utilized the platform to buil...
What advice do you have for others considering Tray.io?
I give Tray.io an eight out of ten rating mostly because of how it is developer-centric and lacks a low-code platform and the pricing. The reduction in manual data tasks had a direct positive impac...
 

Also Known As

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
No data available
 

Overview

 

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
Find out what your peers are saying about Matillion Data Productivity Cloud vs. Tray.io and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.