Implementing a modern data strategy can be challenging when it comes to making sure that every element of your data stack works cohesively as a whole. Inefficiencies and data latency have traditionally plagued the ELT process, resulting in stale insights for data consumers and fraught, manual workflows for the data teams responsible for loading, transforming, and delivering polished data for business analytics.
With Coalesce and Fivetran’s new native integration, data creators and consumers can now reap the benefits of synchronized, real-time data movement and automated transformation capabilities. This empowers Coalesce and Fivetran customers to transform data immediately once it lands in Snowflake and minimize data latency by taking advantage of integrated, best-in-class ELT tooling.
Why we built this
Our goal in partnering with Fivetran was to help our customers sidestep the problems of manual data orchestration and make sure that their data pipelines are running as efficiently as possible—no matter the scenario. The new Coalesce + Fivetran integration provides an automated, integrated experience for anyone transforming data in Snowflake and using Fivetran for data movement.
With Fivetran automatically handling data movement and the Coalesce data development platform accelerating sophisticated data modeling and prep, customers can carry out the full ELT process using a single integrated solution. This helps reduce data latency and workflow inefficiencies that result from using multiple platforms for orchestration. Leveraging a single platform helps data teams capitalize on the following benefits:
- Optimized compute and platform costs: By allowing jobs to run at a specific cadence or following Fivetran syncs, customers can reduce the inefficiencies of multiple ELT jobs running on different schedulers—resulting in compute savings and enhancing overall operational efficiency.
- Improved data team bandwidth: Automating transformation jobs directly from Fivetran significantly reduces the overhead on data teams, freeing up valuable time and resources. This means data practitioners can focus more on generating data projects that produce quality insights, rather than getting bogged down in pipeline orchestration and maintenance.
- Fresher, faster insights: With Fivetran and Coalesce workflows fully coordinated and synchronized, data consumers can trust that their business decisions are always informed by fresh, curated data sets.
How the Coalesce + Fivetran integration works
With this native integration, Coalesce and Fivetran customers can schedule transformation jobs directly downstream of Fivetran connection syncs once data has finished loading in Snowflake. This eliminates the need for a third-party orchestrator or additional ELT tooling, allowing customers to ensure that data integration and transformation occurs in a consecutive and coordinated manner, instead of managing and performing them separately. Check out our demo video for a closer look:
To learn more about this integration and our shared commitment with Fivetran to simplify and optimize the ELT process, visit our partnership page.
Getting started
Ready to start building synchronized data pipelines?
- For step-by-step instructions on how to trigger transformation runs directly from Fivetran, visit our joint documentation and orchestration setup guide.
- Catch our in-depth walk-through of this integration by our product experts, and start building data projects faster with pre-built Coalesce pipelines for Salesforce, Jira, Zendesk, Google Ads, and SAP data.
- Start using Coalesce through Snowflake Partner Connect if you’re not already a customer.
The Coalesce Fivetran integration is currently available to all Coalesce and Fivetran customers. For more information, please reach out to your Coalesce account team.
