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Equalum [EOL] vs Matillion Data Productivity Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 15, 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
6.9
Equalum EOL accelerates data delivery, reduces development needs, enhances integration speed, and offers cost-saving by streamlining processes.
Sentiment score
7.5
Matillion Data Productivity Cloud saves time and reduces costs, offering a rapid ROI and improved efficiencies with integrated platforms.
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
 

Customer Service

Sentiment score
8.2
Equalum's customer service is praised for responsiveness, technical expertise, multilingual support, and significant upgrades enhancing user experience.
Sentiment score
7.6
Matillion Data Productivity Cloud excels in service and support with fast response, comprehensive resources, and high customer satisfaction.
They communicate effectively and respond quickly to all inquiries.
Technology Transformation Specialist at SDG Group
 

Scalability Issues

Sentiment score
7.7
Equalum provides scalable data flow solutions with controllable environments, supporting both vertical and horizontal expansion for growing businesses.
Sentiment score
7.4
Matillion Data Productivity Cloud effectively scales with cloud resources and databases, though managing multiple nodes can be challenging.
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
 

Stability Issues

Sentiment score
7.5
Equalum offers strong stability and performance, with rare network issues, while navigating initial phases presents minor challenges.
Sentiment score
7.9
Matillion Data Productivity Cloud is stable and effective, with responsive support; hardware or configurations occasionally cause issues.
 

Room For Improvement

Equalum EOL requires improvements in notifications, connectors, documentation, UI, deployment, security, replication, and database integration.
Matillion needs frequent API updates, improved UI, better documentation, more integrations, enhanced scalability, and real-time data capture.
The main areas for improvement are AI features and scalability.
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
Connections to BigQuery for extracting information are complex.
Technology Transformation Specialist at SDG Group
 

Setup Cost

Equalum's pricing is considered reasonable and competitive, focusing on CPU and connector additions, despite perceptions of expensiveness.
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
 

Valuable Features

Equalum streamlines data flow between SQL Server and Oracle with real-time streaming, no-code interface, and intuitive monitoring features.
Matillion Data Productivity Cloud enhances ETL processes with user-friendly tools, automation, and security for efficient, scalable data management.
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
 

Categories and Ranking

Equalum [EOL]
Average Rating
9.2
Reviews Sentiment
7.1
Number of Reviews
7
Ranking in other categories
No ranking in other categories
Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (12th), AI Data Analysis (17th)
 

Featured Reviews

reviewer1525674 - PeerSpot reviewer
Managing Director at a consultancy with 11-50 employees
Frees staff to focus on data workflow and on what can be done with data, and away from the details of the technology
There are areas they can do better in, like most software companies that are still relatively young. They need to expand their capabilities in some of the targets, as well as source connectors, and native connectors for a number of large data sources and databases. That's a huge challenge for every company in this area, not just Equalum. If I had the wherewithal to create a tool that could allow for all that connectivity, it would be massive, out-of-the-box. There are all the updates every month. An open source changes constantly, so compatibility for these sources or targets is not easy. And a lot of targets are proprietary and they actually don't want you to connect with them in real time. They want to keep that connectivity for their own competitive tool. What happens is that a customer will say, "Okay, I've got Oracle, and I've got MariaDB, and I've got SQL Server over here, and I've got something else over there. And I want to aggregate that, and put it into Google Cloud Platform." Having connectors to all of those is extremely difficult, as is maintaining them. So there are major challenges to keeping connectivity to those data sources, especially at a CDC level, because you've got to maintain your connectors. And every change that's made with a new version that comes out means they've got to upgrade their version of the connector. It's a real challenge in the industry. But one good thing about Equalum is that they're up for the challenge. If there's a customer opportunity, they will develop and make sure that they update a connector to meet the needs of the customer. They'll also look at custom development of connectors, based on the customer opportunity. It's a work in progress. Everybody in the space is in the same boat. And it's not just ETL tools. It's everybody in the Big Data space. It's a challenge. The other area for improvement, for Equalum, is their documentation of the product. But that comes with being a certain size and having a marketing team of 30 or 40 people and growing as an organization. They're getting there and I believe they know what the deficiencies are. Maintaining and driving a channel business, like Equalum is doing, is really quite a different business model than the direct-sales model. It requires a tremendous amount of documentation, marketing information, and educational information. It's not easy.
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.
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Top Industries

By visitors reading reviews
Comms Service Provider
14%
Retailer
12%
Financial Services Firm
12%
Museum Or Institution
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
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise4
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
 

Questions from the Community

Why should I use Equalum instead of LogMiner?
You'd want to use the Equalium Oracle Binary Log Parser because it's just better than the LogMiner. Sure, LogMiner is made by Oracle and probably the team knows some insight to make it efficient th...
Is Equalum compatible with all databases?
I'm using Equalum's data replication software for Oracle because that's the one database it's designed for. While it may sound limiting, when you find out how many solutions it can provide for you ...
Can I use Equalum for free?
No, it's not free but you can benefit from a free trial, though. There's an option to try their platform for a limited amount of time, so that may be useful to help you decide if you want to contin...
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

SIEMENS, GSK, Wal-Mart, T Systems
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
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