Talend Data Integration Reviews

48 Ratings
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Score 6.9 out of 101

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Reviews (1-5 of 5)

Sanket Bharaswadkar profile photo
December 19, 2017

Talented Talend

Score 9 out of 10
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We have a high amount of excel files coming in from different departments. They all have a different data structure. It was very difficult integrating all the types of data, with different data sizes. We used Talend to integrate data in one format. We had to perform data analysis, pattern recognition. It had a big impact on overall efficiency. We also found several bottlenecks, and narrowed our focus area.
  • data integration
  • support for different data sources
  • documentation
  • memory management
  • too technical for business users
  • IDE is slow
It is very useful for disparate data sources like Excel, Microsoft Access, SQL server or any relational database. Also, cases where you need data transformation, a lot of pre-processing, Talend is very good. Its tMap is very useful. It also has various transformers, and we can add custom logic for various data fields.
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Score 8 out of 10
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Talend Data Integration is primarily used by the data warehousing team. While the management of data warehousing in handled by a single team, they work with data sourced from and sent to all departments across the entire organisation - this makes Talend Data Integration a critical software component for our use cases.
  • Easy to use interface
  • Designing jobs is very straightforward
  • Allows the use of custom components to suit specific needs
  • Syncing with Git should be made easier
  • Can face issues with certain big data spaces
  • Support find it difficult to resolve complex issues
If your organisation or department works regularly with ETL jobs or sources data from multiple locations and needs to integrate them to provide for better data compatibility, then Talend Data Integration is a great tool and I would strongly recommend it. This mostly applies to established corporations, and not startups as the licensing fee is quite high.
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Josep Coves Barreiro profile photo
Score 9 out of 10
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Talend is used to build a corporate data warehouse solution which centralizes all relevant company intel into a single repository. Talend is used for development only by the IT department (as expected) but the information it gathers is used for the whole company. The main problem which talend addresses is to unify different sources of intel by retrieving data from databases, files, web services, the internet, etc.
  • Reading for multiple sources: Any modern Database, Files, WebServices, etc.
  • Monitoring and scheduling task dependencies for data loading purposes.
  • Really useful to design a Data Warehouse, thanks to its built in components for design patterns like SCD, etc.
  • It's also useful to publish data interfaces via WebServices or REST.
  • Good and high qualified support team.
  • Connecting to various databases from classic Relational (MSSQL, Oracle, MySQL, etc.) to No-SQL Databases.
  • Well documented.
  • Community which provides plugins, etc.
  • Installation process of Integration Suite platform.
  • JAVA memory management. It's easy to get a memory overhead error, and you have to modify configuration files to increase memory manually.
  • Migration process.
It's perfect for data warehouse implementation.
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Score 10 out of 10
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We use the big data edition of Talend Integration Suite. It is used by the Business Intelligence department for extract transform load (ETL). There are more than 400 jobs that pull data or push data from various sources. Talend is used to load data into the enterprise data warehouse. (EDW). I use the big data edition to pull data from hive cluster. There are complex sources like highly nested JSON and XML that can be easily parsed using Talend components. The best thing I like about Talend is the ease of use/debug and ease of deployment. Behind the scenes it uses Java coding, so whatever you do in the interface can be easily visible under code. Packaging and deployment of code is easy too in any environment (Windows or Mac or Linux) with any version of Java compatibility.
  • JSON parsing, if you are into highly nested JSON object parsing Talend has the ability to display the structure of JSON and allows you to define the extraction logic in the metadata. Same with XML source.
  • Customization, For mostly all ETL work you will have a component in Talend. And in case you have a very specific requirement you can end up easily designing a custom component that you can code and reuse and share with others.
  • Talend has a connectivity option to almost all the databases (relational or NOSQ)L and sources available. It also has generic JDBC/ ODBC drivers in case you need it.
  • I like the ease of deployment across environment (DEV and PROD) with the use of context variables.
  • The Talend Administration Console TAC is a great place to schedule and monitor your jobs. Probably the interface can be improved.
Talend as an ETL tool is robust and flexible because of the transparency of the behind the scene Java code. Developers can debug and optimize the code easily because of visibility. The big data component of talend makes it the IDE for working with file formats like JSON and log files.

Talend gives the ability to pull data using WSDL/API and also to make data available as REST API. Talend jobs are platform independent and can be deployed easily. IDE is eclipse based.
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December 14, 2015

Talend DI Suite Review

Score 7 out of 10
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Talend Integration Suite has been chosen as the enterprise data integration tool for our client. We were using Informatica Power Center before that. Currently we are recreating the existing power center mapping in Talend to decommission Informatica. All new projects are using Talend DI. Talend has data integration, big data integration, data profiling and master data management components which are widely used in our projects based upon the data requirements.
  • Its an open source tool.
  • Developers can add new customized components to Talend for specific needs.
  • It has low cost as compared to commercial data integration tools.
  • The enterprise version has an option for integrating a variety of data platforms and connects to variety of data sources.
  • To run a job, a developer need not upload it to the server, jobs can be run locally.
  • Data loading components for different databases can be improved further. Currently Greenplum target compenents or postgre data target components are not yielding high throughput,
  • Transformation components can be made visually more attractive and informative.
  • Syntax used in data transformation can be simplified.
Talend Integration is a complete data integration suite which can cater to departmental as well as enterprise data integration needs.
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Talend Data Integration Scorecard Summary

Feature Scorecard Summary

Connect to traditional data sources (5)
9.6
Connecto to Big Data and NoSQL (5)
6.8
Simple transformations (5)
9.4
Complex transformations (5)
8.8
Data model creation (5)
8.6
Metadata management (5)
7.6
Business rules and workflow (5)
9.0
Collaboration (5)
5.4
Testing and debugging (5)
7.0
Integration with data quality tools (5)
9.4
Integration with MDM tools (5)
8.2

About Talend Data Integration

The Talend Integration Suite, from Talend, is a set of tools for data integration.
Categories:  Data Integration

Talend Data Integration Technical Details

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