Talend Data Management Platform Competitors and Alternatives

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RM
Managing Director at a consultancy with 11-50 employees
Reseller
Top 10
Frees staff to focus on data workflow and on what can be done with data, and away from the details of the technology

What is our primary use case?

Equalum is used to take legacy data, siloed data and information in the enterprise, and integrate it into a consolidated database that is then used, for the most part, for data transaction, whether it's an actual transaction within the enterprise itself, or a BI dashboard. BI dashboards and analytics are a big area, but overall the main use case is for large data integration across disparate data sources. The way it's deployed is a combination of on-premises and cloud. It's mainly on-prem, but in Japan and Korea, the adoption of cloud is definitely nowhere near the same as in North America or… more »

Pros and Cons

  • "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."
  • "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."

What other advice do I have?

It's a great tool to use in any data transformation opportunity, especially focusing on real-time. The word "batch" should never be used in an organization, going forward. I know it's useful and it has its use cases and there are situations where it's helpful. Batch is a form of history and it will probably always be there until that legacy finally disappears. But, overall, if anybody wants to look at migrating and transforming their overall data into a real-time enterprise, there's not a better tool in the market today, in terms of its performance, price, usability, and support. Those four…
Thomas Fuchs
General Manager Data & Analytics at a tech services company with 1,001-5,000 employees
Real User
Top 20Leaderboard
Great data pipeline and the orchestration functionality with a good user interface

What is our primary use case?

The solution is primarily used for data integration. We are using it for the data pipelines to get data out of the legacy systems and provide it to the Azure SQL Database. We are using the SQL data source providers mainly.

Pros and Cons

  • "The initial setup is very quick and easy."
  • "Integration of data lineage would be a nice feature in terms of DevOps integration. It would make implementation for a company much easier. I'm not sure if that's already available or not. However, that would be a great feature to add if it isn't already there."

What other advice do I have?

We are like an integrator. We are a data warehouse NPI consulting company and we use Data Factory to pull data from different legacy systems and do all these transformations that are necessary in order to provide analytical models. In our normal scenario is that we are providing Azure SQL Databases together with Azure Data Factory and Power BI. 80% of our customers have recognized such a scenario. On a scale from one to ten, I'd rate the solution at an eight. We've been largely happy with the capabilities of the product.
Ismail Lahbabi
Data Engineer at a tech services company with 11-50 employees
Real User
Top 10
Good support, user-friendly, and easy to integrate with Microsoft tools, but needs a better console, more features, and better capability to handle a large volume of data

What is our primary use case?

We are using it in our company and for our clients. I have experience in working with the whole data cycle, which includes data collection, transformation, and visualization. I have worked with the end-to-end process, and I have handled data integration, analysis, and visualization. I specialize in Microsoft tools, and I have used SSIS for data integration and Power BI for data visualization. I have also worked with Tableau for data visualization and Talend for data integration.

Pros and Cons

  • "The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products."
  • "It is also easy to learn and user-friendly. Microsoft is also good in terms of technical support. They have built a large community all over the world."
  • "When I compare Talend and SSIS, Talend provides more features. With Talend, we can handle a large volume of data. Talend is usually used to treat a large volume of data, which makes it better than SSIS on the data side. Talend also has a very good Talend Management Console to schedule the jobs and do other things. It can also be easily connected to version control tools such as GitHub or SVN. The last time I used SSIS, it was connected through TSS for the Windows Console version. I am not sure it has been improved or not. If it is not improved, Microsoft should improve it. They should change the product to provide another console."

What other advice do I have?

I would rate SSIS a six out of ten. I prefer Talend over SSIS.
AG
Assistant General Manager at DTDC Express Limited
Real User
Top 20
Scales well with data and processes, but the cost should be lower and real-time processing capabilities improved

What is our primary use case?

We are using just the simple features of this product. We're using it as a data warehouse and then for building dimensions.

Pros and Cons

  • "The amount of data that it loads and processes is good."
  • "I would like to see improvements made for real-time data processing."

What other advice do I have?

My advice for anybody who is researching this product is that if they want to do batch processing, then this is a good choice. The amount of data that it loads and processes is good. Based on the features that I have used and my experience, I would rate this solution a seven out of ten.
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