Leveraging Databricks SQL, Qlik’s Databricks (Delta) Endpoint optimizes the continuous and real-time data ingestion through Qlik Data Integration into Delta Lake on Databricks.

Databricks announces its Data Ingestion Network partner program, adding third party data connectors and pipelines to its platform. Along the way, the company is touting its "data lakehouse ...

Key features of LakeFlow include: LakeFlow Connect: Simple and scalable data ingestion from every data source. LakeFlow Connect provides a breadth of native, scalable connectors for databases such as ...

Fivetran, the global leader in modern data integration, today announced it has been named Data Ingestion Partner of the Year by Databricks, the Data a ...

With LakeFlow, Databricks users will soon be able to build their data pipelines and ingest data from databases like MySQL, Postgres, SQL Server and Oracle, as well as enterprise applications like ...

Redpanda, the real-time data platform that powers agentic and operational applications, is introducing Redpanda 25.2, simplifying Iceberg adoption for enterprise users and including support for ...

By offering a low-code approach through SQL-like statements, Databricks is looking to lower the barriers to entry for complex data work such as keeping ETL pipelines healthy.

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.