Leverage Databricks’ high-performance computing capabilities with Gathr’s no-code, AI-driven approach to accelerate your data engineering, analytics, and AI initiatives.
LOS GATOS, California., May 31, 2024 /PRNewswire/ — Data Gahr Inc. proudly announces a strategic partnership with Databricks, a leading data intelligence platform to unify and democratize data, analytics and AI. This partnership will enable Gathr customers to leverage Databricks’ unified data governance and high-power computing for their data engineering and AI needs.
“Through this partnership, customers can modernize their disparate data and analytics assets by combining Databricks’ high-performance computing capabilities with Gathr’s scalable, no-code, AI-driven approach,” said Bhavin Shah, Sr. Vice President, Sales and Customer Success at Gathr Data Inc. “We look forward to transforming the data engineering and analytics landscape across various industries and enabling businesses to unlock the true potential of their data assets and their engineering teams, enabling seamless collaboration and unparalleled productivity. backed by a highly scalable database.
Key features include:
Building a Strong Database for Analytics, ML and Gen AI by ingesting quality data into Databricks Delta Lake. Gathr’s ingestion and ETL applications make it easy to create a unified repository to store and access diverse data sets to maintain data quality and consistency across Databricks.
Enable users to design pipelines at scale using the Databricks design engine. With connectivity to live Databricks clusters, businesses can design their pipelines interactively, improving the efficiency of analytics workflows.
Integration of Databricks computing capabilities in workflows. Run ETL applications, manage environments and clusters from a single interface.
Integration with the Databricks Unity catalog, providing a user-friendly low-code/no-code interface to capture and ingest high-quality data. Businesses can plan pipelines to feed data into UC schemas, improving data accessibility and governance.
Combining the flexibility of PySpark with the no-code ETL capabilities of Gathr, users can even seamlessly integrate their existing Python codes. With Gen AI-assisted PySpark development, businesses can implement custom business logic at scale, driving innovation in data analysis.
GathrIQ Copilot provides natural language assistance throughout the data engineering, analytics and AI journey. From building pipelines to discovering data assets, transforming data, creating visualizations and gaining insights, businesses can harness the power of Gen AI to drive intelligent business outcomes .
Through this partnership, Gathr and Databricks are poised to deliver unparalleled value to businesses, helping them navigate the complex data and AI landscape with greater ease and efficiency.
For more details, visit our partnership page.
About Gathr
Gather is the world’s first and only “data to results” platform. Gathr unifies data engineering, ML, Gen AI, analytics and business applications on a single platform. With Gen AI support and no-code app development, Gathr significantly increases everyone’s productivity. Fortune 500 companies, such as United, Broadcom, Kroger, Philips, Truist, use Gathr to create and operationalize data and AI-driven solutions at scale.
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