Can be used as a slave server on many machines while transformation processing.
Can easily deal with different data clusters.
Pentaho kettle’s GUI is easier to run when compared to Talend’s GUI.
Pentaho kettle is twice faster when compared to Talend.
Talend has its support which exists majorly in the US whereas Pentaho its support which not only exists in the US, and also targets the UK, Asia Pacific marketsĪlthough both Talend and Pentaho tools carry similar characteristics, here one needs to understand the GUI which Pentaho Kettle holds a slight advantage.īelow we see the salient characteristics and prominent offerings of the Pentaho Kettle to Talend:.
#Pentaho data integration tutorial drivers
Talend offers limited connectivity to concurrent databases, and other forms of data but has a dependency factor of Java drivers to connect to the data sources whereas Pentaho offers a wide range of connectivity to extensive databases, and other forms of data.
Talend is an open-source data integration tool whereas Pentaho Kettle is a commercial open-source data integration tool.
Talend and Pentaho Kettle are impeccable tools in their own market, below are noticeable differences: Some key differences are explained below between Talend and Pentaho Key Differences Between Talend and Pentaho Head to Head Comparison Between Talend and Pentaho (Infographics)īelow is the 8 comparison between Talend and Pentaho: Hence, these tools not only make job easy but also save time and money. It is a hard task for an administrator to associate different databases without the help of any tool. To write the data into the target database.
Load: The ‘L’ function follows just one route.
Though the process seems simple, the procedure involves rules or lookup tables by merging and synchronizing from multiple databases It follows a simple process where the extracted data is adapted from its original form to the form it needs to be in (target) so that it can be engaged to another database.
Transform: The ‘T’ function is quite challenging compared to ‘E’ however not that complicated.
The function of ‘E’ is to read the data from sources.
Extract: Data is generally collected from compound databases.
These tools are generally referred as ETL (Extract, Transform, and Load) tools and Talend & Pentaho are two such ETL tools which are widely used across industries.īefore going deep, let us get the basics right here.īelow is a simple illustration of what ETL tool actually means: Once you have this data, it is important for that data to be extracted from the system and further analyzed in an environment through a various set of tools to meet business needs. Hadoop, Data Science, Statistics & others
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