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Matillion Data Productivity Cloud vs erwin Data Catalog comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

erwin Data Catalog
Average Rating
7.6
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
Metadata Management (12th)
Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (11th), AI Data Analysis (14th)
 

Mindshare comparison

erwin Data Catalog and Matillion Data Productivity Cloud aren’t in the same category and serve different purposes. erwin Data Catalog is designed for Metadata Management and holds a mindshare of 3.2%, up 2.2% compared to last year.
Matillion Data Productivity Cloud, on the other hand, focuses on Cloud Data Integration, holds 5.7% mindshare, up 3.2% since last year.
Metadata Management Mindshare Distribution
ProductMindshare (%)
erwin Data Catalog3.2%
Collibra Platform17.5%
Informatica Intelligent Data Management Cloud (IDMC)13.6%
Other65.7%
Metadata Management
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Matillion Data Productivity Cloud5.7%
AWS Glue8.2%
AWS Database Migration Service6.7%
Other79.4%
Cloud Data Integration
 

Featured Reviews

Andres-Martinez - PeerSpot reviewer
BI Data Analytics Engineer at Targa Research
Helps with metadata management, saves time, and allows us to do impact analysis on any changes
There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names. There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen. That can also be improved. They need some caching and some parallel pipelines working on the backend in order to divide it into sections.
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.

Quotes from Members

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

Pros

"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."
"The data catalog feature is pretty good."
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming."
"It's so intuitive and easy to use you can actually just teach yourself how to use it."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"We allow non-technical people to use Matillion to load data into our data warehouse for reporting, so it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"It has good integrations with Amazon Redshift and other AWS services."
"Compared to the likes of traditional ETLs, like Informatica, SnapLogic, and Talend, or even raw Python scripts, this product needs no improvement, as it is so much better."
"The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"The loading of data is the most valuable feature of Matillion ETL."
 

Cons

"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen."
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."
"It is not an end-to-end platform for ETL. To complete the pipeline, they might want to include some connectors which would put the data into different platforms."
"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"I am looking forward to seeing the expansion of the source range for their data loader product."
 

Pricing and Cost Advice

"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
"Erwin Data Catalog is very expensive."
"Matillion ETL is expensive."
"The pricing depends on what edition the customer opts for. For example, the standard edition is priced at $2.00 per credit. And you are only charged when you use it. You're not charged when it's idle."
"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
"The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running."
"The prices needs to be lower."
"It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
"A rough estimation of the cost is around 20,000 dollars a month, however, this is dependent on the machine used and how Matillion ETL is used."
"The price of Matillion ETL is reasonable."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Construction Company
10%
Manufacturing Company
8%
Government
8%
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
9%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
 

Questions from the Community

Which ETL tool would you recommend to populate data from OLTP to OLAP?
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...
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...
 

Also Known As

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

Overview

 

Sample Customers

Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Find out what your peers are saying about Collibra, Informatica, Alation and others in Metadata Management. Updated: April 2026.
890,088 professionals have used our research since 2012.