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Matillion Data Productivity Cloud vs Panther 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

Matillion Data Productivity...
Ranking in AI Data Analysis
21st
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (11th)
Panther
Ranking in AI Data Analysis
30th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
3
Ranking in other categories
Security Information and Event Management (SIEM) (39th)
 

Mindshare comparison

As of June 2026, in the AI Data Analysis category, the mindshare of Matillion Data Productivity Cloud is 0.6%, down from 2.4% compared to the previous year. The mindshare of Panther is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Matillion Data Productivity Cloud0.6%
Panther0.4%
Other99.0%
AI Data Analysis
 

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.
Narendran Nair - PeerSpot reviewer
Product Security Engineer at Infoblox
AI triage has streamlined real-time alert monitoring and has improved on-call incident response
The best features Panther offers are AI Triage, the ability to comment on our activities, and seamless integration with other communication sources such as PagerDuty, Microsoft Teams, and potentially Slack, showcasing the flexibility we have in using this tool. The most valuable feature for my team is definitely AI Triage, which helps save a lot of time by eliminating the need for manual research regarding patterns that may be repeated, making our work easier and more efficient. Panther has positively impacted my organization as it serves as one of the main sources for triaging real-time incidents. Panther definitely plays a key role in the work that we do. Specific outcomes that show how Panther has helped our organization include saving a lot of time, especially since the AI Triage feature reduces the necessity to reach out to others for clarity, which it occasionally accomplishes on its own. To be honest, it does lack some aspects. For example, if it could access our organizational knowledge, including the Jira database, it might better analyze incidents and determine whether they are false positives or not by using more contextual data.

Quotes from Members

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

Pros

"The most valuable feature of Matillion ETL is its user-friendly graphical interface."
"The product's initial setup phase was easy."
"It is pretty user-friendly, even for people who aren't super technical, and it has good integrations with Amazon Redshift and other AWS services."
"On a new project using Matillion, it took me 10 minutes to set up and begin importing data from Safesforce.com."
"It has good integrations with Amazon Redshift and other AWS services."
"It has helped us to get onto the cloud quickly."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"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 AI Triage feature saves a considerable amount of time, and if it were to incorporate organizational knowledge, it could provide finer-tuned results."
"I find Panther's detection capabilities and integrations to be highly valuable."
"We have seen a return on investment measured primarily through SOC efficiency and productivity improvements, with teams observing a twenty to thirty-five percent improvement in investigation efficiency depending on the environment and product maturity."
 

Cons

"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"Performance can be improved for efficiency, and it can be made faster."
"In the next release, we would like to have connections to more databases."
"It needs integration with more data sources."
"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."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"Regarding Panther's accuracy and reliability of output, I would rate it at 70 percent since, at times, it identifies findings as valid when they may actually be false positives, which we have experienced in a few cases."
"The solution could be improved by providing more built-in integrations, which would reduce the need for me to build them myself."
 

Pricing and Cost Advice

"I think it is cost conscious. It used to be very cheap and they have more recently bumped up the pricing, so it is competitive now."
"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."
"The cost of the solution is high and could be reduced."
"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
"The prices needs to be lower."
"It was very easy to purchase through the AWS Marketplace, but it was also expensive."
"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
8%
Construction Company
6%
Construction Company
13%
Manufacturing Company
13%
Financial Services Firm
8%
Comms Service Provider
7%
 

Company Size

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

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 is your experience regarding pricing and costs for Panther?
I find the pricing to be reasonable, although I can't recall the exact cost.
What needs improvement with Panther?
The solution could be improved by providing more built-in integrations, which would reduce the need for me to build them myself.
What is your primary use case for Panther?
We use Panther ( /products/panther-reviews ) for our SIEM ( /categories/security-information-and-event-management-siem ) solution. It is used for aggregating logs and analyzing user activities. 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
Docker, Loom, Discord, Dropbox, HubSpot, Asana, GoFundMe, Zapier, Benchling, JupiterOne, Jumio, Bitstamp, Intercom, Randori, and Cedar
Find out what your peers are saying about Informatica, Denodo, Cisco and others in AI Data Analysis. Updated: May 2026.
896,942 professionals have used our research since 2012.