#1 most frequent
United States of America
40.0%40 installations of 100
What is Talend Data Fabric?
The Talend Data Fabric helps organizations to achieve and maintain complete, trustworthy, and uncompromised data, so that they can stay in control, mitigate risk, and drive value.
Categories & Use Cases
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Who Buys & Uses Talend Data Fabric
#2 most frequent
France
20.0%20 installations of 100
#3 most frequent
Canada
7.0%7 installations of 100
360 view of data management with Talend
Use Cases and Deployment Scope
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.
Pros
- 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.
Cons
- 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.
Most Important Features
- 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.
Return on Investment
- Open source
- Full of transformations to support different scenarios
- Integration support with Big Data and MDM.
Alternatives Considered
Pentaho
Other Software Used
Pentaho, Informatica Cloud Data Integration, IBM InfoSphere DataStage
Talend Quality, calidad en todo sentido.
Use Cases and Deployment Scope
The tool is very effective, to carry out ETL tasks, since it allows from the extraction of information to the preparation of the same, and then with the BI tools to carry out the demonstration in dashboards for decision making. Talend has made my life easier when dealing with junk information and reached such a transformation that allows the added value in the institution.
Pros
- fast
- comprensible
- friendly environment
- intuitive
Cons
- IA
- performance
- connectors
Most Important Features
- data integration
- data fast work
- transformation on variables
- decision manager
Return on Investment
- Target on 90% for ISO Rules
- ordered data
- processing savings
Alternatives Considered
Pentaho
Other Software Used
Pentaho
Visually appealing and accurate reports.
Pros
- Visually appealing and accurate reports.
- Integration with Salesforce.
- You can handle the code.
Cons
- The learning curve in the beginning may be very steep.
- Speed is not the best.
Return on Investment
- The steep learning curve negatively impacts ROI during the first few months.
- After solving the difficulties with learning Talend Data Quality, we can achieve an increase in ROI with accurate and visually appealing reports.
- Integration with Salesforce is another positive breakthrough in ROI.
Usability
Other Software Used
UiPath Enterprise RPA Platform, UiPath Process Mining (formerly ProcessGold), ShadowProtect SPX
Nice tool for data integration
Pros
- It supports a wide variety of connectors (Systems/endpoints)
- It provides great flexibility for developers as it not only has a lot of predefined ready to use the function but also provides the ability to use complex java code within the platform. Great tool if you have good developers available.
Cons
- Development is a little complex in comparison to others on the market. A high learning curve is required for developers. developers with java background are perfect for the job.
Return on Investment
- Overall a good tool when comparing the pricing, features and flexibilities provided together
Other Software Used
Talend Open Studio, Salesforce Analytics Cloud
Talend data management
Use Cases and Deployment Scope
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.
Pros
- The mapping of 2 different database situated in different server
- Integration through API for database
- Help to clean data
- Help to manage oversized data
Cons
- Need to do some reporting structure
- For certain time server configuration is not much effective
- Also UI enhancement is necessary
Most Important Features
- It's mapping feature
- It's relational field computation part
- It auto checking feature of the proper output
Return on Investment
- 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
