Compare Fivetran and Talend Data Integration 
- Users report that Talend Data Integration excels in its diverse extraction points, scoring 8.4, which allows for a wide range of data sources to be integrated seamlessly. In contrast, Fivetran also performs well with an extraction score of 8.9, but users mention that its focus is more on automated connectors, which may limit flexibility for some custom data sources.
- Reviewers mention that Talend's data transformation capabilities are robust, with a score of 9.0, making it a strong choice for users needing complex data manipulation. However, Fivetran's transformation score of 7.8 indicates that while it offers essential transformation features, it may not be as comprehensive for advanced users.
- G2 users highlight Talend's automation features, scoring 9.0, which allows for efficient workflows and reduced manual intervention. Conversely, Fivetran's automation score of 8.9 is commendable, but some users feel it lacks the depth of customization that Talend provides.
- Users on G2 report that Talend's cloud extraction capabilities are rated at 8.8, which is impressive for organizations looking to leverage cloud data sources. Fivetran, while also strong in this area, has a slightly lower score of 8.6, leading some users to prefer Talend for cloud-centric projects.
- Reviewers mention that Talend's quality of support is rated at 7.0, which some users find lacking compared to Fivetran's higher score of 8.0. This difference suggests that users may experience more responsive support with Fivetran, which can be crucial for troubleshooting and implementation.
- Users say that Talend's scalability is rated at 8.7, making it suitable for enterprise-level applications, while Fivetran's score of 8.6 indicates it is also scalable but may be more tailored to mid-market needs, as reflected in its larger user base in that segment.
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That it is no code, very well documented set up guides, as a non technical owner I can set up my own pipelines without help from an engineer or someone from the Central Data Platform team. I also think Fivetran supports a very comprehensive set of...
Extremely opaque billing practices. Our bill shot up about 5x month over month with no notice because of very loose usage of "free historical syncs." The initial trial period for connectors obfuscates billing for connectors and the platform does not...
There is an open source version which allows you to get started. It has 100s of connectors to connect to Salesforce, SAP, Oracle, ODBC, JDBC, XML, Access, flat files. Also a whole host of other components WebServices, FTP and Email. The transformation tools...
The fact that it's a code generator and requires compiling of the entire code-base anytime you want to test a small change can lead to a frustrating development experience. Job re-use is difficult to achieve with this tool, passing data back and forth is...
That it is no code, very well documented set up guides, as a non technical owner I can set up my own pipelines without help from an engineer or someone from the Central Data Platform team. I also think Fivetran supports a very comprehensive set of...
There is an open source version which allows you to get started. It has 100s of connectors to connect to Salesforce, SAP, Oracle, ODBC, JDBC, XML, Access, flat files. Also a whole host of other components WebServices, FTP and Email. The transformation tools...
Extremely opaque billing practices. Our bill shot up about 5x month over month with no notice because of very loose usage of "free historical syncs." The initial trial period for connectors obfuscates billing for connectors and the platform does not...
The fact that it's a code generator and requires compiling of the entire code-base anytime you want to test a small change can lead to a frustrating development experience. Job re-use is difficult to achieve with this tool, passing data back and forth is...
