The Talend Integration Suite, from Talend, is a set of tools for data integration.
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Talend has many built-in components that reduce the development work. We were able to complete the project sooner than expected. Easy to on-board resources as it is straightforward to use. We can manage all the pipelines in the cloud with simple alerting. No major downtimes. …
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, …
SAP Business Object Data Services is another ETL offering that I have used before Talend. The biggest advantage is that Talend is open source and very user-friendly. SAP BODS needs to improve on the user interface. Also, it works well with relational databases but is not very …
Data Preparation is something which can improved and connectivity with more visualization tools are few factors which can be improved. As Talend Data Integration becomes more cloud focused, the gap in features / functionality widens between on-premise functionality and the …
Talend is the best for ETL out of all the other products we looked at. Of course, it is not meant for synchronous services. But, batch jobs that we schedule and run on bulk data are the best fit for Talend Data Integration. Though Talend does not provide a preview of …
Most other tools of similar nature work well for small and medium sized data warehouses, but fail to maintain performance for very large data warehouses. However, Talend works decently well on large data as well. On the other hand, there are software tools like Oracle Data …
Talend is much versatile in assimilating various different business use cases. It covers more functionality and is packed with tons of features to explore. It has the ability to fine tune to each project, and not be a one-fits all solution. Problems with Excel, is that it is …
There are code building and code conversions internally in most of these ETL tools. The repository is an overhead in the ETL process. There may be a need for a full-time administrator to manage deployments and monitor jobs. With Talend, it seems to be transparent with the pure …
Compared to Microsoft SQL Server Integration Services (SSIS) talend gives developers much more tools and flexibility in order to achieve different ETL processes. For instance, SSIS, separates processing from data management, and Talend mixes both stages so that you can perform …
Talend has all the data integration features needed for an enterprise along with big data integration. It stands tall as a data integration suite and has a low cost as compared to some of its commercial counterparts. Talend does not have reporting tools like Pentaho but its …
This tool fits all kinds of organizations and helps to integrate data between many applications. We can use this tool as data integration is a key feature for all organizations. It is also available in the cloud, which makes the integration more seamless. The firm can opt for the required tools when there are no data integration needs.
Talend Data Integration allows us to quickly build data integrations without a tremendous amount of custom coding (some Java and JavaScript knowledge is still required).
I like the UI and it's very intuitive. Jobs are visual, allowing the team members to see the flow of the data, without having to read through the Java code that is generated.
We use Talend Data Integration day in and day out. It is the best and easiest tool to jump on to and use. We can build a basic integration super-fast. We could build basic integrations as fast as within the hour. It is also easy to build transformations and use Java to perform some operations.
Good support, specially when it relates to PROD environment. The support team has access to the product development team. Things are internally escalated to development team if there is a bug encountered. This helps the customer to get quick fix or patch designed for problem exceptions. I have also seen support showing their willingness to help develop custom connector for a newly available cloud based big data solution
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while Matillion is only cloud-based.
It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.