Recognized by the People Who Use Us
Rated by Real Users on G2
Enterprise data and engineering teams consistently rate Sesame Software for best support, highest user adoption, and fastest implementation.
.png?width=120&height=120&name=medal%20(2).png)
.png?width=120&height=120&name=medal%20(5).png)
.png?width=120&height=120&name=medal%20(6).png)
.png?width=120&height=120&name=medal%20(4).png)
Snowflake ETL and Data Connector
Sesame Software's dedicated Snowflake connector handles extract, transform, and load workflows with built-in native SQL transformation and automatic schema discovery and syncing. Clean and normalize your data before it hits Snowflake — no custom scripts, no data engineering team required.
Why custom ETL pipelines break: Hand-built scripts fail silently when source schemas change — a new field, a renamed object, an altered data type. Each break means a ticket, dev time, testing, and a redeployment, delaying the reporting that depends on that data. Sesame Software automatically discovers and syncs schema changes so your ETL pipeline keeps running without your engineers babysitting it.
See how Sesame Software handles your ETL workflow into Snowflake — extraction, transformation, and load in one platform.
No credit card required · Response within 1 business day
Recognized by the People Who Use Us
Enterprise data and engineering teams consistently rate Sesame Software for best support, highest user adoption, and fastest implementation.
Full ETL Support
Sesame Software's Integration Builder handles the complete ETL workflow into Snowflake — from extracting raw source data to cleaning and loading it as structured, queryable tables.
Pull data from Salesforce, NetSuite, SQL Server, and 20+ other sources. Auto-discovery maps your schema, custom fields, and objects — and stays in sync as your source data evolves. No manual configuration required.
Use native SQL directly in the Integration Builder to clean, sanitize, scrub, and normalize your source data before it loads into Snowflake. Data arrives ready for analytics.
Sesame Software's dedicated Snowflake connector loads data securely and efficiently using patented multithreaded technology. Handles hundreds of millions of records without API bottlenecks.
What You Get
Dedicated Snowflake connector template, automatic schema discovery and syncing, native SQL transformation, and proactive monitoring — all in one no-code platform.
A purpose-built connector template designed specifically for Snowflake's columnar architecture. Handles the nuances of bulk loading, metadata configuration, and schema management automatically.
Write SQL directly in the Integration Builder to clean, filter, join, and normalize your data before it loads. No separate transformation layer, no additional tooling.
Sesame Software discovers your source schema on setup and keeps it in sync as it changes. New fields and objects are automatically propagated to Snowflake — no manual mapping, no pipeline rewrites, no maintenance windows.
Schedule ETL jobs from every few seconds to once a year using built-in Cron expressions. Full automation with job monitoring, error detection, and alerting built in.
Snowflake updates continuously as a cloud service. Sesame Software actively monitors your connector for driver changes and addresses issues before they impact your ETL pipeline.
Multithreaded data movement bypasses Salesforce and SaaS API bottlenecks. Load hundreds of millions of records into Snowflake without re-engineering your ETL pipeline as you grow.
How It Works
No custom development, no implementation project. Sesame Software handles the technical complexity of ETL so your team spends time on analysis, not pipeline maintenance.
Authorize Sesame Software to Salesforce, NetSuite, or another source system. Auto-discovery maps your full schema including custom fields and objects — and syncs automatically as your schema changes.
Use the Integration Builder to define your SQL transformation logic — clean, filter, join, and normalize data before it loads. Set your schedule and designate your metadata datasource.
Sesame Software runs your ETL pipeline on schedule. Clean, structured data lands in Snowflake ready to query. Schema changes sync automatically. Monitor jobs in real time.
Trusted by Enterprise Teams
"Custom objects added in Salesforce are automatically added as new tables in the replicated database. Custom fields added in Salesforce are automatically added as new columns in the replicated database."
"Job creation is very modular, so we can add and remove steps easily to jobs on the fly if needed. Sync is mostly hands off and we will go months without having to log into the server or application for any kind of issues."
"I found it to be the most reliable tool in syncing data to/from Salesforce compared to other named ETL platforms. It's one of the best lightweight platforms to manage data pipelines."
Common Questions
Sesame Software's Integration Builder supports full ETL workflows with native SQL. You can clean, sanitize, scrub, and normalize source data before it loads into Snowflake — all within the same platform, no separate transformation layer required.
This is where Sesame Software is fundamentally different from hand-built ETL scripts. When your source schema changes — a new field is added, an object is renamed, a data type is altered — Sesame Software automatically discovers the change and syncs the Snowflake schema to match. Your ETL pipeline keeps running without any manual intervention, no tickets, no redeployment, no reporting delays.
The Snowflake connector requires a separate, non-columnar metadata datasource to hold metadata. This is a deliberate design choice that ensures better processing for columnar targets like Snowflake. Our team walks you through this during setup.
Because Snowflake is a continuously updated cloud service, vendor updates can occasionally affect drivers. Sesame Software actively monitors all Snowflake connections and addresses driver issues proactively — typically before customers notice any impact.
Salesforce CRM, Pardot, NetSuite, SQL Server, PostgreSQL, Oracle, MySQL, Azure SQL, and 20+ others. Extract from multiple source systems and load them into a unified Snowflake environment.
As frequently as every few seconds or as infrequently as once a year. Sesame Software uses built-in Cron expression scheduling so you define the cadence that fits your use case.
Stop maintaining scripts that break when schemas change. Sesame Software handles your full ETL workflow into Snowflake — with automatic schema syncing, on your schedule, in under an hour to set up.
Get Your Free Demo →