It run tasks, which are sets of activities, via operators, which are templates for tasks that can by Python functions or external scripts. It connects to more than 40 databases, as sources or destinations, via JDBC, ODBC, or plugins.Īirflow orchestrates workflows to extract, transform, load, and store data. Pentaho can take many file types as input, but it can connect to only two SaaS platforms: Google Analytics and Salesforce. Transformations can be defined in SQL, Python, Java, or via graphical user interface.Ĭonnectors: Data sources and destinationsĮach of these tools supports a variety of data sources and destinations. Stitch is part of Talend, which also provides tools for transforming data either within the data warehouse or via external processing engines such as Spark and MapReduce. Within the pipeline, Stitch does only transformations that are required for compatibility with the destination, such as translating data types or denesting data when relevant.
PENTAHO DATA INTEGRATION EXAMPLES CODE
Developers can write Python code to transform data as an action in a workflow. Airflow manages execution dependencies among jobs (known as operators in Airflow parlance) in the DAG, and programmatically handles job failures, retries, and alerting. A DAG is a topological representation of the way data flows within a system. Apache AirflowĪpache Airflow is a powerful tool for authoring, scheduling, and monitoring workflows as directed acyclic graphs (DAG) of tasks. In addition, users can drag and drop custom scripts in Python, Java, JavaScript, and SQL onto the canvas. Pentaho supports a wide variety of pre- and post-load transformations through dragging and dropping more than two dozen kinds of operations onto its work area. Transformations Pentaho Data Integration (Kettle) Import API, Stitch Connect API for integrating Stitch with other platforms,
Also available from the AWS store.Ĭompliance, governance, and security certifications Options for self-service or talking with sales. Business intelligence, data integration, ETLįull table incremental via binary logs or SELECT/replication keysįull table incremental via change data capture or SELECT/replication keysĪbility for customers to add new data sources
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