With this partnership, Gathr and Databricks are poised to deliver unparalleled value to enterprises, helping them navigate the complex landscape of data and AI.
Gathr Data Inc. announced a strategic partnership with Databricks, a data intelligence platform to unify and democratise data, analytics, and AI. This partnership will enable Gathr’s customers to leverage Databricks unified data governance and high-power compute for their data engineering & AI needs.
“With this partnership customers can modernise their disparate data assets and analytics by combining Databricks’ high-performance compute capabilities with Gathr’s AI-powered, scalable, and no-code approach,” said Bhavin Shah, Sr. Vice President, Sales & Customer Success at Gathr Data Inc. “We are eager to transform the data engineering and analytics landscape across various industries and empower businesses to unlock the true potential of their data assets & engineering teams, by enabling seamless collaboration, unparalleled productivity backed by a highly scalable data backbone.”
Building strong data foundation for analytics, ML and Gen AI by ingesting quality data into Databricks Delta Lake. Gathr’s ingestion and ETL applications facilitate the creation of a unified repository for storing and accessing diverse datasets to maintain data quality and consistency in Databricks.
It empowers users to design pipelines at scale using Databricks’ design-time engine. With connectivity to live Databricks clusters, enterprises can interactively design their pipelines enhancing efficiency in analytics workflows.
Also Read: Databricks Launches Data Intelligence Platform
Integrating Databricks’ compute capabilities into workflows, enterprises can run ETL applications, manage environments, and clusters from a single interface. Integration with Databricks Unity Catalog, offers a user-friendly low-code/no-code interface for capturing and ingesting high-quality data. Enterprises can schedule pipelines to populate data in UC schemas, enhancing data accessibility and governance.
Combining PySpark’s flexibility with Gathr’s no-code ETL capabilities, users can even seamlessly integrate their existing Python codes. With Gen AI-assisted PySpark development, enterprises can implement custom business logic at scale, driving innovation in data analytics.
GathrIQ Copilot provides natural language assistance throughout the data engineering, analytics, and AI journey. From building pipelines to discovering data assets, transforming data, creating visualisations, and gaining insights, enterprises can harness the power of Gen AI to drive intelligent business outcomes.
With this partnership, Gathr and Databricks are poised to deliver unparalleled value to enterprises, helping them navigate the complex landscape of data and AI with greater ease and effectiveness.
