Talend Data Fabric Competitors and Alternatives

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Read reviews of Talend Data Fabric competitors and alternatives

RM
Managing Director at a consultancy with 11-50 employees
Reseller
Top 20
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…
General Manager Data & Analytics at a tech services company with 1,001-5,000 employees
Real User
Top 10
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.
BI Consultant at a tech services company with 201-500 employees
Consultant
Top 10
Variety of transformations, good SQL integration, and allows C# scripting

Pros and Cons

  • "The script component is very powerful, things that you cannot normally do, is feasible through C#."
  • "The solution could improve on integrating with other types of data sources."

What other advice do I have?

Customers have moved on pass SSIS and use Azure Data Factory, Databricks or something similar. We have a few of our customers looking to moving on to Informatica or Talent. This is how I was led to itcentralstation.com, to learn more about SSIS and how it was compared to Informatica. I have never had a situation where a particular transformation was not possible in SSIS. We have always been able to meet the demands of our need with SSIS. I rate SSIS an eight out of ten.
CO
Managing Director at a tech services company with 11-50 employees
Real User
Top 20
An extract, transform and load solution that is difficult to set up but stable once you do

What is our primary use case?

We are using this solution with enterprise customers for ETL (Extract, Transform and Load). The clients are just using it for retail processes.

Pros and Cons

  • "Once you have Infosphere up and running properly, it is stable."
  • "The setup is extremely difficult."
  • "The pricing should be lower."

What other advice do I have?

My advice for anyone considering IBM Infosphere Datastage is to use a decent consulting house to help you once you get around to committing to the product. Do not assume that you will be able to go at this alone unless you have an extremely talented staff. On a scale from one to ten (where one is the worst and ten is the best), I would rate this product as a seven-out-of-ten.
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