Coalesce, the data transformation company, announced partnerships with dominant players in the data industry, including Fivetran and Snowflake, to make data teams more efficient and productive, delivering faster results than any other data transformation tool on the market. The Coalesce Data Transformation platform combines the speed of an intuitive graphical user interface (GUI), the flexibility of code, and the efficiency of automation for data transformations.
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The partnership with Coalesce allows Snowflake customers to automate the data transformation process, cutting down on time and resources spent preparing data to get the most out of Snowflake. Without Coalesce, the process is manual and time consuming.
“With near limitless scalability, Snowflake is a groundbreaking platform for ingesting data of any type – structured, semi-structured or unstructured – transforming that raw data into actionable information and serving those insights to users. Up to now, the process of creating and orchestrating data pipelines in Snowflake has been a largely manual, code driven task,” said John Gontarz, Field CTO at Snowflake. “Coalesce has directly addressed this complexity by creating a GUI based solution, backed by code, that provides drag-and-drop access to the functionality the Snowflake platform offers. By automating much of the data transformation and orchestration work and pushing down all transformations into Snowflake, our customers can complete projects and realize value out of Snowflake much faster.”
Coalesce is also partnering with Fivetran, the leader in data integration for Snowflake, to eliminate many of the pain points customers can experience when preparing data for integration.
“Fivetran has always taken an ‘automation first’ approach to extracting and loading data,” said Michael Bull, Director of Strategic Alliances at Fivetran. “Coalesce applies this same philosophy to the data transformation process, so we’re excited to make this partnership official and offer our customers an automated, best of breed ELT stack.”