Equalum [EOL] Reviews

Name: Equalum [EOL]
Brand: Google
Rating: 4.6 (7 reviews)

Vendor: Google

4.6 out of 5

7 reviews
100% willing to recommend

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What is Equalum [EOL]?

Equalum EOL offers robust data replication services, focusing on CDC replication, streaming and batch ETL. It provides a user-friendly interface with no-code capabilities, integrating seamlessly with technologies like Kafka and Spark.

Get the Equalum [EOL] Buyer's Guide and find out what your peers are saying about Equalum [EOL], Informatica Intelligent Data Management Cloud (IDMC), Azure Data Factory and more!

Equalum [EOL] is the #17 ranked solution in top Data Replication solutions, #30 ranked solution in top Cloud Data Integration solutions, and #62 ranked solution in top Data Integration Tools. PeerSpot users give Equalum [EOL] an average rating of 9.2 out of 10. Equalum [EOL] is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Equalum [EOL] vs Informatica Intelligent Data Management Cloud (IDMC).

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Featured Equalum [EOL] reviews

Joel Buck

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

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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reviewer1525674

Managing Director at a consultancy with 11-50 employees

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.

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Shirin Kanchwala

Database Administrator at a energy/utilities company with 1,001-5,000 employees

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. They are working on this improvement because we told them about it. There are the small changes that we keep on asking from them, and they do them for us. If you want features or to modify it, they help us with that. So, the team is on it at all times.

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Equalum [EOL] mindshare

Product category:

As of January 2026, the mindshare of Equalum [EOL] in the Data Integration category stands at 0.6%, up from 0.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Equalum	0.6%
SSIS	4.0%
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
Other	91.7%

Data Integration

PeerResearch reports based on Equalum [EOL] reviews

Type	Title	Date
Category	Data Integration	Jan 15, 2026	Download
Product	Reviews, tips, and advice from real users	Jan 15, 2026	Download
Comparison	Equalum [EOL] vs SSIS	Jan 15, 2026	Download
Comparison	Equalum [EOL] vs Informatica Intelligent Data Management Cloud (IDMC)	Jan 15, 2026	Download
Comparison	Equalum [EOL] vs Azure Data Factory	Jan 15, 2026	Download

Valuable Features

Equalum EOL's key features include change data capture, a user-friendly no-code interface, and seamless integration with Kafka and Spark. It enables real-time data streaming, offers robust data replication, and provides excellent performance monitoring. Users highlight its ease of use, visual tools for data flow, and capability to automate workflows without coding. It delivers rapid data integration and a comprehensive platform for CDC, streaming ETL, and batch ETL, saving significant time for engineers.

"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."
"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 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."

Room for Improvement

Equalum EOL can benefit from more targeted notifications, improved documentation, and greater integration with major databases and systems like Oracle and SAP. Enhancements in native and source connectors are necessary for smoother data connectivity. Users seek a more intuitive UI with better command line access and seamless integration between vendors. Deployment improvements, scheduling within the tool, and quicker replication capabilities are also desired. Maintaining clear and comprehensive multi-vendor documentation would mitigate client concerns.

"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."
"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."
"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."

ROI

Equalum improves data synchronization speed and reduces dependence on complex scripts, saving time in development. Users experience faster integration by up to five times compared to alternatives and can manage data streams more efficiently. It enhances data delivery speed by over 50% and eliminates issues with manual schedulers. By streamlining the onboarding process and consolidating tools, Equalum fosters significant time and cost savings, though full ROI may take over a year due to licensing costs.

Pricing

Equalum [EOL] offers a straightforward component-based pricing model, allowing for flexibility in adding connectors or CPUs. Its pricing varies, often being more expensive than local CDC tools but cheaper than major global ETL vendors. Opinions on cost differ; while some find it expensive, others view it as reasonable, often attributing value to time-saving features that accelerate development cycles. Additional professional services may incur extra costs, and Exact pricing details require direct consultation.

"Equalum licensing costs vary, but I won't be able to give information on its fees."
"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 was reasonably priced. It is not like those million dollar tools, such as Informatica."

Popular Use Cases

Equalum is utilized for data replication and micro-batching involving databases like SQL Server and Oracle. It integrates legacy and siloed data into consolidated databases, often for transactions or BI dashboards. Deployments are mainly on-premises with some hybrid cloud connectivity. Users leverage Equalum for real-time change data capture and transforming extensive XML files for data warehousing, especially with Snowflake. It’s popular in managed service models and preferred on-premises due to trust issues with public cloud.

Service and Support

Equalum's customer support is praised for responsiveness and quick resolutions. They provide extensive training and frequent updates on new features. Communication is facilitated through Slack and a support portal, ensuring timely assistance. Restreaming capabilities have improved, enhancing efficiency. Their team is highly technical, offering 24/7 support and effectively addressing issues directly or escalating them when necessary. The support structure includes multiple time zones, catering to customer needs efficiently. Users feel well-integrated with Equalum's team.

Deployment

Equalum EOL's initial setup is straightforward, with good documentation and videos aiding deployment. Users appreciate features like schema Replication Groups for efficient data copying. Support from Equalum's engineers assists in the first deployment, leading to quicker subsequent setups. Deployment time typically ranges from 30 minutes to an hour, excluding data migration. Challenges include connecting to databases and configuring infrastructure, but these are manageable with guidance. Often, new architecture requires adjustment, but Equalum works closely to facilitate this.

Scalability

Equalum offers impressive scalability, expanding efficiently across nodes, clusters, and workloads. Users note its capability to scale both vertically by adding hardware and horizontally with additional nodes. While horizontal scaling may require some expertise, vertical scaling is straightforward. Many users have increased their data flows significantly without added complexity. The tool enables easy expansion without rising costs, though additional hardware may be needed for extensive scaling. Equalum's adaptability accommodates growing data demands effectively.

Stability

Equalum [EOL] is described as robust and stable, with strong performance even in complex environments like those using double-byte character sets. Issues appear rare, linked mainly to frequent update requests from Equalum rather than its inherent functionality. When adhering to stable releases, users report no stability concerns. Some experience minor fluctuations, mainly when not in full production. High-volume data testing shows no errors, indicating solid stability for large data loads.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Equalum [EOL] Buyer's Guide for additional reliable information.

Compare Equalum [EOL] with alternative products

Learn more about Equalum [EOL]

Equalum EOL is designed to facilitate data integration and migration processes through advanced CDC replication, streaming, and batch ETL capabilities. Its intuitive interface supports complex data processes without requiring extensive technical skills. Enhanced with automated self-healing and performance monitoring, the platform provides fast data streaming services. Equalum integrates effectively with Kafka and Spark, allowing unique functionality enhancements. The graphical interface is advantageous for users needing command-line features for workflow deployment while offering intuitive monitoring for quick issue resolution.

What are the most important features of Equalum EOL?

CDC Replication: Ensures seamless data synchronization across systems.
Streaming ETL: Provides real-time data processing for timely insights.
Batch ETL: Supports large-scale data aggregation for comprehensive analysis.
No-Code Interface: Simplifies complex processes for non-technical users.
Integration with Kafka and Spark: Enhances data processing capabilities.
Automated Self-Healing: Reduces downtime and system latency.

What benefits should users look for in reviews of Equalum EOL?

Improved Data Sync: Efficient data replication minimizes lag.
Performance Monitoring: Keeps data processes running smoothly.
Flexible Integration: Adapts to various data sources and platforms.
Real-Time Data Access: Facilitates on-the-fly decision-making with streaming ETL.

Equalum EOL is implemented across industries for data replication tasks such as moving databases and SQL Server data to Oracle. It effectively integrates legacy and siloed data for applications, transactions, and BI dashboards, operating both on-premises and in the cloud. With features like the micro-batching of Kafka topics and transforming large XML files into Snowflake, Equalum EOL supports consultants offering SaaS and on-premises solutions, catering to real-time Change Data Capture needs in cloud environments.

Equalum [EOL] customers

SIEMENS, GSK, Wal-Mart, T Systems

Product Categories

Data Integration

Data Replication

Cloud Data Integration

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Equalum [EOL] Reviews Summary
Author info	Rating	Review Summary
Director of Enterprise Architecture at a pharma/biotech company with 10,001+ employees	4.5	No summary available
Managing Director at a consultancy with 11-50 employees	4.5	No summary available
Database Administrator at a energy/utilities company with 1,001-5,000 employees	5.0	No summary available
Partner at Gulf Consulting	4.5	No summary available
Senior Software Engineer at a retailer with 201-500 employees	4.5	No summary available
Software Engineer Specialist at a energy/utilities company with 1,001-5,000 employees	4.5	No summary available
Ingestion Solutions Head of Data at a financial services firm with 11-50 employees	4.5	No summary available

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	4.0	3.7%	92%	214 interviews Add to research
Azure Data Factory	4.0	3.2%	92%	93 interviews Add to research

Equalum [EOL] Reviews

What is Equalum [EOL]?

Featured Equalum [EOL] reviews

Equalum [EOL] mindshare

PeerResearch reports based on Equalum [EOL] reviews

Valuable Features

Room for Improvement

ROI

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Compare Equalum [EOL] with alternative products

Learn more about Equalum [EOL]

Equalum [EOL] customers

Related questions

Product Categories

Popular Comparisons