Equalum vs Matillion Data Productivity Cloud comparison

Google and Matillion are both solutions in the Cloud Data Integration category. Google is ranked #30, while Matillion is ranked #8 with an average rating of 8.0. Google holds a 0.8% mindshare in CDI, compared to Matillion’s 5.1% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 92% of Matillion users who would recommend it.

Equalum

Read 7 Equalum reviews

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150 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Read 28 Matillion Data Productivity Cloud reviews

3,583 Views
1,397 Comparison Views

92% willing to recommend

Equalum

Matillion Data Productivity...

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Executive SummaryUpdated on Oct 12, 2025

Matillion Data Productivity Cloud and Equalum are two strong competitors in the data integration market. While Matillion is favored for its cost-effectiveness, Equalum holds an edge in architectural versatility and ease of use.

Features: Matillion is known for its integration with AWS, quick setup, and user-friendly data processing capabilities. It offers built-in verification and an extensive range of connectors. Equalum provides robust change data capture, streaming ETL, and batch processing. Its no-code environment and integration with Kafka and Spark are highly effective for large-scale, real-time data tasks.

Room for Improvement: Matillion needs more frequent updates to manage API changes better and improve user documentation. Enhancements in multi-environment support and SAP integration are also suggested. Equalum could benefit from expanded connectivity and improved documentation. Better integration with other vendors and a more intuitive UI are also recommended.

Ease of Deployment and Customer Service: Matillion is predominantly used in public cloud environments, offering strong customer support characterized by fast and helpful responses. Equalum supports on-premises and hybrid setups, with highly rated technical support that complements its flexible deployment capabilities.

Pricing and ROI: Matillion's pricing is consumption-based, offering flexibility for small teams but potentially costly with increased usage. Equalum's pricing is higher but justified by its value and time-saving features. Both products typically deliver substantial ROI within a year, driven by their efficiency in streamlining data processes.

To learn more, read our detailed Equalum vs. Matillion Data Productivity Cloud Report (Updated: September 2025).

Buyer's Guide

Equalum vs. Matillion Data Productivity Cloud

September 2025

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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

Equalum

Ranking in Cloud Data Integration

30th

Average Rating

9.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Integration (66th), Data Replication (19th)

Matillion Data Productivity...

Ranking in Cloud Data Integration

8th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Cloud Data Integration category, the mindshare of Equalum is 0.8%, up from 0.3% compared to the previous year. The mindshare of Matillion Data Productivity Cloud is 5.1%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
Matillion Data Productivity Cloud	5.1%
Equalum	0.8%
Other	94.1%

Cloud Data Integration

Featured Reviews

Joel Buck

Director of Enterprise Architecture at a pharma/biotech company with 10,001+ employees

There is no better product for CDC and streaming on Kafka

The Equalum user interface is extremely easy to use. I would rank it really highly on user-friendliness. The only issue with the user interface is it doesn't supply everything that you need for somebody who has to work with Equalum. For example, when you get deep into development, there are many areas where you have to go to the command line to do things and the Equalum user interface does not have that functionality. The deployment of their flows needs improvement. It doesn't work with a typical Git branching and CI/CD deployment strategy. If you have multiple projects, all working in one Equalum environment, separating out their work is something that you have to design into your implementation, as opposed to baked into the product.

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Jitendra Jena

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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Quotes from Members

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

Pros

"It's a really powerful platform in terms of the combination of technologies they've developed and integrated together, out-of-the-box. The combination of Kafka and Spark is, we believe, quite unique, combined with CDC capabilities. And then, of course, there are the performance aspects. As an overall package, it's a very powerful data integration, migration, and replication tool."

"Equalum has resulted in system performance improvements in our organization. Now, I am ingressing data off of multiple S3 sources, doing data processing, and formatting a schema. This would usually take me a couple of days, but now it takes me hours."

"Equalum provides a single platform for core architectural use cases, including CDC replication, streaming ETL, and batch ETL. That is important to our clients because there is no other single-focus product that covers these areas in that much detail, and with this many features on the platform. The fact that they are single-minded and focused on CDC and ETL makes this such a rich solution. Other solutions cover these things a little bit in their multi-function products, but they don't go as deep."

"Equalum is real-time. If you are moving from an overnight process to a real-time process, there is always a difference in what reports and analytics show compared to what our operational system shows. Some of our organizations, especially finance, don't want those differences to be shown. Therefore, going to a real-time environment makes the data in one place match the data in another place. Data accuracy is almost instantaneous with this tool."

"The main impact for Oracle LogMiner is the performance. Performance is drastically reduced if you use the solution’s Oracle Binary Log Parser. So, if we have 60 million records, initially it used to take a minute. Now, it takes a second to do synchronization from the source and target tables."

"All our architectural use cases are on a single platform, not multiple platforms. You don't have to dump into different modules because it is the same module everywhere."

"It's got it all, from end-to-end. It's the glue. There are a lot of other products out there, good products, but there's always a little bit of something missing from the other products. Equalum did its research well and understood the requirements of large enterprise and governments in terms of one tool to rule them all, from a data migration integration perspective."

"I found two features in Equalum that I consider the most valuable. One is that Equalum is a no-code tool. You can do your activities on its graphical interface, which doesn't require complex knowledge of extracting, changing, or loading data. Another feature of Equalum that I like the most is that it monitors the data transfers and tells you if there's any issue so that you can quickly check and correct it. Equalum also tells you where the problem lies, for example, if it's a hardware or communication issue."

"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 the UI experience in which you can drag and drop most of the transformation."

"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 solution's most valuable feature is the CDC (Change Data Capture) component."

"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's highly scalable. It takes upon itself the Redshift scalability, so it's very good."

"Matillion ETL has great Git integration that is perfect and convenient to use."

"It has good integrations with Amazon Redshift and other AWS services."

More Matillion Data Productivity Cloud pros

Cons

"There is not enough proven integration with other vendors. That is what needs to be worked on. Equalum hasn't tested anything between vendors, which worries our clients. We need more proven vendor integration. It is an expensive product and it needs to support a multi-vendor approach."

"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."

"Their UI could use some work. Also, they could make it just a little faster to get around their user interface. It could be a bit more intuitive with things like keyboard shortcuts."

"Right now, they have a good notification system, but it is in bulk. For example, if I have five projects running and I put a notification, the notification comes back to me for all five projects. I would like the notification to come back only for one project."

"The deployment of their flows needs improvement. It doesn't work with a typical Git branching and CI/CD deployment strategy."

"I should be able to see only my project versus somebody else's garbage. That is something that would be good in future. Right now, the security is by tenants, but I would like to have it by project, e.g., this project has this source and flows in these streams, and I have access to this on this site."

"If you need to use the basic features of Equalum, for example, you don't even need data integration, then many competitors in the market can give you basic features. For instance, if you need batch ETL, you can pick among solutions in the market that have been around longer than Equalum. What needs improvement in Equalum is replication, as it could be faster. Equalum also needs better integration with specific databases such as Oracle and Microsoft SQL Server."

"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."

"Scalability in Matillion Data Productivity Cloud has some limitations. 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."

"Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems."

"The tool's lineage is very weak."

"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."

"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."

"In the next release, we would like to have connections to more databases."

"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

"They have a very simple approach to licensing. They don't get tied up with different types of connectivity to different databases. If you need more connectors or if you need more CPU, you just add on. It's component-based pricing."

"Equalum was reasonably priced. It is not like those million dollar tools, such as Informatica."

"As soon as you have more than six users, Equalum is lower in cost [than Talend] and if the group gets bigger, it's quite a big delta. If more users want to use it, you don't end up with an increase in licensing costs, so that makes it very easy. And if you need more licenses or more sources, it's a very simple upgrade methodology."

"Equalum licensing costs vary, but I won't be able to give information on its fees."

"Equalum is rather expensive compared to its competitors. So, you have to make up that cost in time savings, and we usually do that. If we are saving money, it is because we are reducing our development time."

"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."

"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."

"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 have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."

"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."

"The price of Matillion ETL is reasonable."

"The product must improve its pricing."

More Matillion Data Productivity Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	10
Large Enterprise	11

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...

See all answers

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 ...

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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...

See all answers

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.

See all answers

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.

See all answers

What needs improvement with Matillion ETL?

The main areas for improvement are AI features and scalability.

See all answers

Comparisons

No data available

AWS Glue vs Matillion Data Productivity Cloud

Compared 7% of the time

Oracle Data Integrator (ODI) vs Matillion Data Productivity Cloud

Compared 6% of the time

SnapLogic vs Matillion Data Productivity Cloud

Compared 5% of the time

Workato vs Matillion Data Productivity Cloud

Compared 5% of the time

Azure Data Factory vs Matillion Data Productivity Cloud

Compared 5% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

Buyer's Guide

Equalum

October 2025

Download Equalum product report

Buyer's Guide

Matillion Data Productivity Cloud

October 2025

Matillion Data Productivity Cloud report

Download Matillion Data Productivity Cloud product report

Also Known As

No data available

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery

Overview

Equalum is a fully-managed, end-to-end data integration and real-time data streaming platform, powered by industry-leading change data capture (CDC) tech and modern data transformation capabilities (streaming ETL and ELT). Equalum's enterprise-grade platform features intuitive UI allowing you to build robust, real-time data pipelines in minutes.

Google

Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.

Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.

What are the key features of Matillion Data Productivity Cloud?

User-Friendly Interface: Simplifies interaction for non-technical users with a graphical interface.
Seamless Integration: Works smoothly with AWS, SFDC, RDS, Marketo, Facebook, and Google AdWords.
Automatic Scalability: Efficiently manages varying workloads with scale-up and down capabilities.
Efficient Data Handling: Streamlines transformations, scheduling, and sample data verifications.
Diverse Data Source Support: Easily integrates multiple data sources for streamlined processes.

What benefits and ROI should users seek in reviews?

Ease of Use: Reduces complexity for non-technical teams with intuitive operation.
Performance Efficiency: Fast data processing and transformations enhance productivity.
Cloud Compatibility: Supports integration with cloud platforms for versatile data solutions.
Time-Saving Scheduling: Automates data tasks, allowing users to focus on other priorities.
Scalability: Automatically adjusts to workload needs, optimizing resource use and cost.

In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.

Matillion

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

Buyer's Guide

Equalum vs. Matillion Data Productivity Cloud

September 2025

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