Lakeflow’s designer is part of Lake Lake Lake, who will now be generally available. The Lake Lake has three modules: Lake of the Lake, the declarative pipes of the Lake and the works of Lake Lake. The designer is integrated into the declarative pipes.
Attached in purpose, divided into the approach
Lakeflow’s designer, despite being very similar to the rival Openflow Snowflake, differs in his approach, analysts say.
“Lakeflow and OpenFlow reflect two philosophies: Databricks integrates data engineering into a spark and native spark orchestration fabric, while the open flow of snowflake offers a declarative control of workflow with native semantics of deep snowflake. One favors flexibility and opening; others favor consolidation and consolidation and consolidation Simplicity, “said Ni.
Both offers also differ in maturity, said Aslett of ISG. Although Snowflake’s OpenFlow is relatively new, Lake Lake has matured in functionality over the years, being the designer as his last tool. “The connection capacities were acquired together with Arcion in 2023. The functionality of declarative pipes is the evolution of DLT (Delta live tables), and Jobs is the evolution of databricks workflows,” Aslett added.
Separately, Databricks also launched another integrated development environment Code Code in favor of data engineers, which unifies the life cycle of the complete pipeline of the data engineer (code, Dags, sample data and purification), all in an integrated work space.
Liberating Lakeflow’s designer and the new IDE Together is a strategic work, according to NI, since Lakehouse’s supplier points to both ends of the maturity curve of the pipe, a low code to move quickly and the full IDE for climbing and maintaining the pipes.
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