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Matillion Data Productivity Cloud vs Rivery comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 6, 2025

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

Matillion Data Productivity...
Ranking in Cloud Data Integration
8th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
27
Ranking in other categories
No ranking in other categories
Rivery
Ranking in Cloud Data Integration
19th
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
2
Ranking in other categories
Data Integration (35th), Migration Tools (4th), Cloud Migration (14th)
 

Mindshare comparison

As of July 2025, in the Cloud Data Integration category, the mindshare of Matillion Data Productivity Cloud is 3.4%, down from 4.3% compared to the previous year. The mindshare of Rivery is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

Featured Reviews

Tomáš Hronek - PeerSpot reviewer
Used for wrangling or transforming data from sources like S3 and Databricks
I use Matillion ETL for wrangling or transforming data from sources like S3 and Databricks The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation. Sometimes, we have issues with the solution's stability and need to restart it for…
reviewer2335923 - PeerSpot reviewer
Provides users with an initial setup phase, which is fairly simple to manage
I don't know what could be improved in terms of what my company was used to previously or after moving over to Rivery. I have not had much experience with platforms other than Rivery. For me, Rivalry was a way to step up from what we used. To be honest, I am not really sure what improvements could be made in Rivery. Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better. I am not aware if there are additional packages for smaller organizations, but if there are no packages available, then maybe that would be a good way to introduce something new in the tool.

Quotes from Members

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

Pros

"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)."
"It's been able to do everything we require."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"It is pretty user-friendly, even for people who aren't super technical."
"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."
"The solution's most valuable features are that it is quick to connect and simple to use."
"Connects to many APIs in the market and new ones are being added all the time."
 

Cons

"The product must enhance its near-real-time data capture feature."
"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."
"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"It needs integration with more data sources."
"Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems."
"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"Lineage and an impact analysis or logic dependency are lacking."
"Pricing is a little steep for smaller organizations, I would say. The product's pricing model could be a little bit better."
 

Pricing and Cost Advice

"The prices needs to be lower."
"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 solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running."
"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 absence of licensing commitments makes it easy to experiment with the tool, and if we decide it's not suitable, we can simply stop the ETL instance and cease incurring charges."
"The AWS pricing and licensing are a cost-effective solution for data integration needs."
"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."
"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."
"I rate the tool's price as six out of ten if I consider the lowest price to be one and the highest price to be ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Computer Software Company
15%
Manufacturing Company
9%
Energy/Utilities Company
5%
Financial Services Firm
18%
Manufacturing Company
11%
Government
10%
Computer Software Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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?
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 c...
What needs improvement with Matillion ETL?
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 raise...
What is your experience regarding pricing and costs for Rivery?
The tool's price can be a little steep for a small organization. I rate the tool's price as six out of ten if I consider the lowest price to be one and the highest price to be ten.
What needs improvement with Rivery?
I don't know what could be improved in terms of what my company was used to previously or after moving over to Rivery. I have not had much experience with platforms other than Rivery. For me, Rival...
What is your primary use case for Rivery?
My company has started to use the Rivery extract data from Hive. It is like a project management sort of program, and we started to use Rivery to get the data from there over into Mavenlink, so we ...
 

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
Information Not Available
Find out what your peers are saying about Matillion Data Productivity Cloud vs. Rivery and other solutions. Updated: July 2025.
861,524 professionals have used our research since 2012.