Omnata Push now supports Salesforce Marketing Cloud, SFMC. Push data directly from Snowflake, manage like SQL, integrate with dbt. Learn more about the approach and see it in action.
'Reverse ETL' has been trending but do we really want to do ETL when loading data into apps? Omnata Push is a step towards simplifying last-mile integration that uses Snowflake to push data, instead of using a middle layer to extract and load. Omnata now supports Snowflake to Salesforce and Marketing Cloud.
Omnata Push is what we think the future of data integration architectures should look like. The integration pattern has been proven and we're expanding our support to other parts of the Salesforce ecosystem with Marketing Cloud.
Learn about the latest approach to Salesforce with Large Data Volumes (LDV) for 2021. Salesforce can now be directly connected to cloud data warehouses; Snowflake and BigQuery, that are designed to handle operational scale workloads. Live-queries solve a bunch of problems faced by traditional extract and load integrations. Omnata unlocks integration use cases like product data, revenue and transactional data, machine learning outputs, and patient records.
Omnata drastically simplifies integration tasks, from Snowflake to Salesforce and BigQuery to Salesforce. Previously, this required middleware with complex setup and constant maintenance. The simplicity of this new approach rests on two key components, cloud-native data warehouse design and Salesforce Connect external objects.
Your teams need a complete view of customers but that doesn’t mean you need to cram all of that data into your CRM. Previously, opening up live access to your production data warehouse was unthinkable, but BigQuery's cloud architecture is designed for concurrent queries and huge datasets. Omnata’s connector makes the most of this, returning datasets to external objects without loads or syncs.
Expert tips for Salesforce and Snowflake, plus, open-source and community contributions. Read insights about analytics, machine learning, enterprise architecture and data-engineering.
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