Talend Data Fabric

Talend Data Fabric

Score 9.2 out of 10
Talend Data Fabric


What is Talend Data Fabric?

Talend data fabric is a tool for managing all of an enterprise's data with a network design. Talend allows users to connect data from many sources, whether they are on-prem or cloud-hosted.
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Product Details

What is Talend Data Fabric?

Talend data fabric is a tool for managing all of an enterprise's data with a network design. Talend allows users to connect data from many sources, whether they are on-prem or cloud-hosted.

Talend Data Fabric Technical Details

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Reviews and Ratings



(1-2 of 2)
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Score 10 out of 10
Vetted Review
Verified User
With Talend, almost all the angles of using Data are covered and we are able to create complex integrations satisfying the needs of our clients. Key factors driving the business decision: -Strong user community -Product roadmap and future vision -Strong services expertise -Product functionality and performance. Talend is a really good middleware that plays a key role in hybrid complex scenarios.
  • Generated optimized code for building data pipelines.
  • Ingested and integrated data from both On-Premises and Cloud environment.
  • Created roles for data cleansing, or need to trace data lineage to ensure compliance and integrity.
  • Hadoop-related and big data components need to be rewritten and improved by Talend.
  • The exception handling is not convenient. You can either let go of the exception or stop the process or use an external controller to resume the applications. But you cannot customize the try-catch block of the exception itself.
  • Sometimes you have to use "Ctrl" sometimes "Cmd" is really badly done. In my experience the speed of learning clashes with the consumption of resources and the slowness of the interfaces. An interface made in pure Java requires more time to implement but is definitely more performing.
Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.
  • Providing a single environment for accessing and collecting all data, no matter where it’s located and no matter how it’s stored – eliminating data silos.
  • Future-proofing the data management infrastructure as new data sources and endpoints, along with new technologies, can be added to the data fabric without disrupting existing connections or deployments.
  • Data drives competitive advantage for every business.
  • Open source
  • Full of transformations to support different scenarios
  • Integration support with Big Data and MDM.
1) Talend offers more than 200 palettes, but most of them are repeated. For Example in Pentaho, we can use a single component ( Microsoft Excel input ) and we can get the data, sheet name, file name, and all other things like using a wildcard, etc. 2. Talend is an open-source tool that makes it easily accessible.
August 27, 2021

Talend data management

Score 8 out of 10
Vetted Review
Verified User
This is being used by the organization for integration purposes mainly. Here we used the tool for managing server level and cloud level data migration processes. Using this we achieve data transmission in our projects in a very easy way. By which for the complex data structures and data compilation and also some computational queries are easily mapped and processed.
  • The mapping of 2 different database situated in different server
  • Integration through API for database
  • Help to clean data
  • Help to manage oversized data
  • Need to do some reporting structure
  • For certain time server configuration is not much effective
  • Also UI enhancement is necessary
For some of the businesses where the migration is happening in in-house server to the cloud level that time connectivity is much important but for large datasets if a certain connection is broken then it will affect the whole dataset. Here Talend works preciously and helps us to manage a large number of datasets in very little time.
  • It's mapping feature
  • It's relational field computation part
  • It auto checking feature of the proper output
  • The major impact was time management with less complexity
  • Large dataset handling and complex query handling
  • Takes some time to process data so heaviness of the software
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