Connector Overview
Sesame Software's Snowflake connector supports secure, scalable data integration into Snowflake's cloud-native warehouse. With support for ANSI SQL and workload separation, it's ideal for centralized analytics and large-scale data replication.
Automatic Schema Alignment — Our solution uses full automation to dynamically create target tables in Snowflake and automatically adds new columns if they are added to the source system, requiring no manual data mapping.
Speed to Value — Create an instant cloud data warehouse and get your data moving in just minutes without writing custom scripts. Full implementation takes less than an hour for most customers.
Patented Scalability — Data movement into Snowflake is powered by Sesame Software's patented scalability and multithreaded technology, ensuring the fastest possible data ingestion without common API bottlenecks.
Use Cases for Snowflake Integration
Snowflake is a modern cloud data warehouse, but it requires reliable ingestion from many enterprise systems. Common use cases include synchronizing Snowflake with enterprise databases, replicating datasets across platforms, automating ETL workflows for BI reporting, integrating operational systems into Snowflake, and supporting large-scale cloud analytics migration initiatives. Common use cases also include centralizing data from major SaaS and ERP platforms—such as Salesforce, NetSuite, Pardot, and Oracle—directly into Snowflake for a 360-degree view of your business data.
Supported Data Workflows
The Snowflake connector supports cloud data warehousing workflows, including ETL, real-time and scheduled replication, cross-platform synchronization, analytics integration, and large-scale migration.
Why Integrate Snowflake with Sesame Software
Snowflake enables modern cloud data warehousing, but getting your data there shouldn't require weeks of development. Sesame Software provides a completely automated, no-code data pipeline that connects your disparate systems (like Salesforce, NetSuite, and Oracle) directly into Snowflake in minutes. With patented multithreaded scalability and automatic schema alignment, Sesame Software streamlines cross-platform replication and analytics integration to power enterprise reporting at scale—without the maintenance headaches.
Frequently Asked Questions about Snowflake
How do I synchronize Snowflake with other databases?
The connector enables automated cross-platform replication and analytics integration.
Can Snowflake support ETL workflows?
Yes. Scheduled and near real-time pipelines are supported.
Is Snowflake migration supported?
Yes. Secure cross-environment replication and data movement are available.
Do I need to manually map fields when my source data changes?
No. Sesame Software provides automatic schema evolution. If you add a new custom field in your source system, the software automatically detects it and alters the Snowflake database schema to match.
Does the Snowflake connector support your History Tracking feature?
No. While our solution supports history tracking for row-oriented databases, this specific functionality is not available for columnar databases that use bulk loaders, such as Snowflake, Redshift, or Greenplum.
How do I schedule my Snowflake data pipelines?
Our solution includes a built-in job scheduler that utilizes Cron expressions. You can schedule jobs to run fully automated on your timeline—as frequently as every few seconds or as infrequently as once a year.
Questions?
We're always happy to help with any other questions you might have! Please send us an email at sales@sesamesoftware.com or chat with a sales agent now!
Data Types Supported:
Source, Target
Available Tool(s):
ETL, Data Replication