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Compare Azure Data Factory vs. Equalum

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26,368 views|21,596 comparisons
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1,073 views|370 comparisons
Top Review
Find out what your peers are saying about Azure Data Factory vs. Equalum and other solutions. Updated: September 2021.
541,708 professionals have used our research since 2012.
Quotes From Members

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

"The user interface is very good. It makes me feel very comfortable when I am using the tool.""From what we have seen so far, the solution seems very stable.""Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good.""Powerful but easy-to-use and intuitive.""It is a complete ETL Solution.""From my experience so far, the best feature is the ability to copy data to any environment. We have 100 connects and we can connect them to the system and copy the data from its respective system to any environment. That is the best feature.""It is easy to deploy workflows and schedule jobs.""On the tool itself, we've never experienced any bugs or glitches. There haven't been crashes. Stability has been good."

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"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.""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.""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.""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.""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.""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."

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"The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way.""The solution needs to integrate more with other providers and should have a closer integration with Oracle BI.""On the UI side, they could make it a little more intuitive in terms of how to add the radius components. Somebody who has been working with tools like Informatica or DataStage gets very used to how the UI looks and feels.""The product could provide more ways to import and export data.""The Microsoft documentation is too complicated.""The user interface could use improvement. It's not a major issue but it's something that can be improved.""The setup and configuration process could be simplified.""If the user interface was more user friendly and there was better error feedback, it would be helpful."

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

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Pricing and Cost Advice
"In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal.""This is a cost-effective solution.""The price you pay is determined by how much you use it.""Understanding the pricing model for Data Factory is quite complex.""I would not say that this product is overly expensive.""The licensing is a pay-as-you-go model, where you pay for what you consume.""Our licensing fees are approximately 15,000 ($150 USD) per month.""The licensing cost is included in the Synapse."

More Azure Data Factory 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.""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.""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."

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Questions from the Community
Top Answer: AWS Glue and Azure Data factory for ELT best performance cloud services.
Top Answer: In terms of my personal experience, it works fine.
Top Answer: 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… more »
Top Answer: 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. They already know… more »
Top Answer: We use it for micro-batching of Kafka topics, which is like small, little bits of clickstream data. For almost all our use cases, the target of the data goes into our data warehousing solution… more »
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Create, schedule, and manage your data integration at scale with Azure Data Factory - a hybrid data integration (ETL) service. Work with data wherever it lives, in the cloud or on-premises, with enterprise-grade security.

Equalum is a fully-managed, end-to-end data ingestion platform that provides streaming change data capture (CDC) and modern data transformation capabilities. Equalum intuitive UI radically simplifies the development and deployment of enterprise data pipelines.

Learn more about Azure Data Factory
Learn more about Equalum
Sample Customers
Milliman, Pier 1 Imports, Rockwell Automation, Ziosk, Real Madrid
SIEMENS, Microsoft
Top Industries
Computer Software Company36%
Insurance Company14%
Healthcare Company7%
Logistics Company7%
Computer Software Company33%
Comms Service Provider14%
Energy/Utilities Company7%
Financial Services Firm6%
Performing Arts17%
Computer Software Company15%
Comms Service Provider15%
Pharma/Biotech Company9%
Company Size
Small Business26%
Midsize Enterprise26%
Large Enterprise49%
Small Business16%
Midsize Enterprise8%
Large Enterprise76%
Small Business87%
Midsize Enterprise4%
Large Enterprise9%
Find out what your peers are saying about Azure Data Factory vs. Equalum and other solutions. Updated: September 2021.
541,708 professionals have used our research since 2012.

Azure Data Factory is ranked 2nd in Data Integration Tools with 24 reviews while Equalum is ranked 7th in Data Integration Tools with 6 reviews. Azure Data Factory is rated 7.8, while Equalum is rated 9.2. The top reviewer of Azure Data Factory writes "Easy to bring in outside capabilities, flexible, and works well". On the other hand, the top reviewer of Equalum writes "Frees staff to focus on data workflow and on what can be done with data, and away from the details of the technology". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Talend Open Studio, Palantir Foundry and SAP Data Services, whereas Equalum is most compared with StreamSets, Denodo, Confluent, HVR Software and Fivetran. See our Azure Data Factory vs. Equalum report.

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