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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 (13th)
Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (10th), AI Data Analysis (10th)
 

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 3.3%, up 2.0% compared to last year.
Matillion Data Productivity Cloud, on the other hand, focuses on Cloud Data Integration, holds 5.1% mindshare, up 3.4% since last year.
Metadata Management Market Share Distribution
ProductMarket Share (%)
erwin Data Catalog3.3%
Collibra Platform18.0%
Informatica Intelligent Data Management Cloud (IDMC)16.0%
Other62.7%
Metadata Management
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
Matillion Data Productivity Cloud5.1%
AWS Glue9.8%
AWS Database Migration Service7.8%
Other77.3%
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

"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. That's one of the main benefits we use it for."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
"Matillion ETL is one hundred percent stable."
"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."
"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, 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 product's initial setup phase was easy."
"The product is quite stable and can handle complex data integration tasks well."
 

Cons

"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 is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"The cost of the solution is high and could be reduced."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."
"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."
 

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."
"The AWS pricing and licensing are a cost-effective solution for data integration needs."
"Matillion ETL is expensive."
"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
"It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
"The cost of the solution is high and could be reduced."
"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."
"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Government
10%
Manufacturing Company
8%
Healthcare Company
7%
Financial Services Firm
14%
Computer Software Company
11%
Manufacturing Company
11%
Retailer
6%
 

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 do you like most about Matillion ETL?
The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
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.
 

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 Informatica, Collibra, Alation and others in Metadata Management. Updated: January 2026.
880,954 professionals have used our research since 2012.