JIGSAW Data Jobs provides a powerful and flexible solution to build, manage, and execute data pipelines within an organization.
With its user-friendly features and wide range of support tasks, Jigsaw Pipelines enable seamless data processing and transformation.

Flexible ETL Pipeline

Jigsaw’s flexible ETL Pipeline utilizes Python for flows, tasks, and projects, making it easy for data engineers to build and manage data pipelines. By offering a versatile and accessible programming language, Jigsaw enables users to create complex data transformations and integrations tailored to their specific requirements.

Ready-Made Plugins

Jigsaw Pipelines come equipped with a variety of ready-made plugins for commonly used actions, reducing the time and effort required to develop custom solutions. The available plugins include connecting to relational databases, object stores, raw files, transformations, ElasticSearch, and Dremio. With these pre-built plugins, users can quickly implement andconfigure their data pipelines, accelerating the overall development process.

Processing Engine Support

Jigsaw Pipelines support both Pandas and Spark as processing engines, ensuring seamless data pipeline creation and execution. By offering compatibility with popular and powerful processing engines, Jigsaw enables organizations to harness the potential of big data and perform advanced analytics, catering to a wide range of use cases and data volumes.

Automated Logging

To ensure smooth operation and easy troubleshooting, Jigsaw Pipelines feature automated logging. With this built-in logging capability, users can monitor their pipelines’ performance, track errors, and assess any potential issues, leading to quicker resolution and more reliable data processes.

Information Store Integration

Jigsaw Pipelines integrate seamlessly with Jigsaw’s Information Store, securely accessing database server information to facilitate efficient data processing. This integration simplifies data pipeline management by providing a central repository for accessing necessary data connections and metadata.

Configuration Management:

Simplifying job configuration file management is essential for maintaining efficient data pipelines. Jigsaw Pipelines achieves this by offering Configuration File Interpolation and Environment Variable Interpolation. These features ensure that users can effortlessly manage, update, and share pipeline configurations, leading to improved productivity and streamlined operations.