The availability of connectors is great.

The data integrations on offer are quite useful. 

There's a stitch data loader that has proven to be helpful. 

Technical support is helpful.

It has a pretty straightforward setup, depending on the environment. 

Scalability isn't an issue.

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The solution can run on any machine and that is a big advantage. 

The big data component allows us to do VELTPs. 

The solution is packed with features. 

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The most valuable feature is the data loading and scripting language. Talend graphs are more user-friendly for developing, modifying, and embedding in business logic.

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The most valuable features of the Talend Data Management Platform are the components.

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The solution is very user-friendly and easy to understand. 

The capacity of the monitoring is great. 

It's rich in connectors and other features. 

The product is stable. 

The initial setup is pretty simple. 

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We can develop our own code if we do not see the functionality we need. We can write our own code and call it in the integration pipeline. It is the greatest feature. Once we build JAR, we can run it anywhere we want. We do not need Talend to run it. We can use any third-party scheduler to schedule the job and do a performance check.

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I love the fact that I can copy a step, click a button, and now I have the opportunity to create the opposite of what I was doing. 

For example: If I am creating an inner join which produces a file on the target, there could be records that do not have a match. In other ETL tools, you would have to create a whole different process. In Talend, all you have to do is copy the inner join, and there is an option for rejects. Now you can create a separate file for your business users to review.

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I like everything about this product, but the biggest thing is the ease of use. I also like the ability to have files between Linux missions.

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It is a very powerful solution to manage historical data and this is one of the key features that I love the most.

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The most valuable feature is integration. There are several connectors, there is a large community, and the solution updates often. It is always up-to-date.

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The most valuable feature is the Talend Admin Console (TAC). It connects Studio to SVN (Code Repository), Nexus (Artifacts/Build Packages), and Job Servers (Runs Nexus packaged jobs). TAC also manages user access to projects, which allows multiple users, working within the same project at the same time, while maintaining all code changes in SVN. 

Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc.

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I have been using very basic features, but one of the features that I liked the most is how it handles different contexts. I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV.

The objects are friendly to use, and another feature that I like is the general generic schemas, even though it took a certain amount of learning to get used to it, it was beneficial.

With what I have seen in the cloud version the interface is great, and what I have used of the on-premises version is great.

It's user friendly.

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The scheduling part of the solution is very good.  

Talend has a lot of connectors, which is very useful.

The user interface is good. It's very visual.

The basic tools are easy to pick up and understand.

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As far as the features that I have found most valuable, it's fairly easy to understand, even for someone inexperienced going from Informatica and DataStage to Talend. The other positive thing, although I haven't used it personally, is that it shares the same platform as the data quality solution which is important in my line of work. Both sections are beginning to be asked for by our clients. Unlike a few years ago, when it was either you doing a data integration or somebody else doing a data quality assessment, in this day and age they're actually asking for both, and it is a good platform to do both. The other thing about Talend is that it has a lot of push down features, wherein most of the execution that has to be done on the processing side, does not require much heavy lifting up. There's not much need to lift the data so that it can be processed and then pushed back to the database, which was traditionally the approach for the likes of Informatica and even DataStage if they're not using pushdown authentication.

I put Talend on the same playing field as the other platforms and they're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application.

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Extract, Transform, and Load (ETL) transformations are open source and is a valuable feature.

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The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component.

Having the ability to mix both my own code created in Java with the predefined components is helpful.

It is easy to face issues and meet any of the client's needs.

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• It meets our operational and analytical data integration needs by providing us with a high performing set of tools to access, transform and integrate data in real time. • Provides us a central repository for sharing our enterprise metadata among business users, developers and IT staff, so we can access and share a single version of information. • It helped us in handling huge data volumes, remote execution of jobs, interacting with cloud data sources and deployment on cloud infrastructure. • We can centrally supervise our software integration processes by using Talend's advanced monitoring capabilities. View full review »