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Pentaho Data Integration vs PySpark: What are the differences?
Developers describe Pentaho Data Integration as "Easy to Use With the Power to Integrate All Data Types". It enable users to ingest, blend, cleanse and prepare diverse data from any source. With visual tools to eliminate coding and complexity, It puts the best quality data at the fingertips of IT and the business. On the other hand, PySpark is detailed as "The Python API for Spark". It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
Pentaho Data Integration and PySpark belong to "Data Science Tools" category of the tech stack.
According to the StackShare community, Pentaho Data Integration has a broader approval, being mentioned in 14 company stacks & 6 developers stacks; compared to PySpark, which is listed in 8 company stacks and 6 developer stacks.
What is Pentaho Data Integration?
What is PySpark?
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What tools integrate with Pentaho Data Integration?
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