Recognized by the People Who Use Us
Rated by Real Users on G2
Enterprise IT and data 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)
Salesforce to Snowflake Integration
Sesame Software connects Salesforce directly to Snowflake with automatic schema alignment, patented scalability, and flexible scheduling. Your data warehouse is up and running in under an hour.
Common problem: Custom pipelines break every time Salesforce adds a field or renames an object. Teams spend more time fixing pipelines than using the data. Sesame Software handles schema changes automatically so your pipeline never breaks silently.
Talk to a data integration expert and get a personalized demo built around your Salesforce environment and Snowflake setup.
No credit card required · Response within 1 business day
Recognized by the People Who Use Us
Enterprise IT and data teams consistently rate Sesame Software for best support, highest user adoption, and fastest implementation.
Why Teams Use This
From BI reporting to real-time analytics, moving Salesforce data into Snowflake unlocks capabilities that are impossible inside Salesforce alone.
Connect Tableau, Power BI, or Looker directly to a Snowflake replica of your Salesforce data. Full historical datasets, refreshed on your schedule, without impacting Salesforce performance.
Combine Salesforce CRM data with data from other systems in Snowflake. One warehouse, one query layer, one source of truth for sales, finance, and operations reporting.
Machine learning models need centralized, structured data. Sesame Software delivers your complete Salesforce dataset into Snowflake in a queryable format ready for your data science team.
Sesame Software's patented multithreaded technology handles large-scale data movement without hitting Salesforce API ceilings. Scale to hundreds of millions of records without re-engineering your pipeline.
Live pipeline run history. Every sync logged with record counts, duration, and status.
What You Get
Custom fields, custom objects, Pardot, complex org structures. Sesame Software handles all of it without bespoke development or ongoing maintenance.
Add a custom field in Salesforce and Sesame Software automatically detects it and updates the Snowflake schema to match. No manual mapping, no data engineering hours, no maintenance.
Sesame Software's patented multithreaded technology delivers the fastest possible data ingestion into Snowflake and bypasses common Salesforce API bottlenecks. Built for enterprise scale from day one.
Schedule your Salesforce to Snowflake pipeline to run as frequently as every few seconds or as infrequently as once a year. Built-in Cron expression support, fully automated on your timeline.
Run a full one-time migration or set up ongoing incremental refreshes to keep a live Salesforce replica in Snowflake. Either way, your first sync is running in under an hour.
Native support for both Salesforce CRM and Pardot. Move your CRM and marketing automation data into Snowflake together. One pipeline, your full Salesforce ecosystem.
Sesame Software never stores your data on our servers. Your Salesforce data moves directly into your Snowflake environment. You control access, retention, and security end to end.
Automatic schema alignment. Salesforce objects and custom fields mapped to Snowflake columns automatically.
How It Works
No dev resources, no weeks of implementation. Sesame Software handles the complexity of Salesforce's API and schema so your team doesn't have to.
Authorize Sesame Software to your Salesforce org. The Integration Builder auto-discovers your schema, custom fields, objects, and data structure. No manual configuration required.
Connect your Snowflake environment. Sesame Software creates the schema automatically, handles all data type conversions, and configures your pipeline. Your call on sync frequency.
Sesame Software runs your first full sync and keeps it current on your schedule. Monitor job status in real time. Scale to hundreds of millions of records without re-platforming.
Flexible scheduling. Full sync, incremental, or Pardot — all running automatically on your timeline.
Change Data Capture
Change data capture means moving only what changed instead of re-copying everything. For a Salesforce to Snowflake pipeline, that is the difference between a warehouse that stays current through the day and one that is refreshed overnight. Here is how Sesame Software captures Salesforce changes and what lands in Snowflake.
The first run loads your full Salesforce dataset. Every run after that reads only the records that changed since the last successful sync, so a large org is never re-read end to end just to pick up a day's edits.
Built-in Cron scheduling sets the capture interval for each job: seconds for operational reporting, hourly or nightly for batch analytics. No external orchestration tool decides when changes move.
Captured changes are written with Snowflake bulk loaders rather than row-by-row inserts. New Salesforce fields and objects are added to the Snowflake schema automatically, so a schema change never stalls the pipeline.
Every job is logged with timestamps and record counts. A failed run resumes from the last successful sync, so changes made while the job was down are still captured without a full reload.
Salesforce has its own Change Data Capture feature, and it is a capable event stream. On its own, though, it is not a Snowflake pipeline. Here is what each approach leaves to your team.
Which one you need: if you need sub-second, event-driven triggers in another application, native Change Data Capture is the right tool. If you need a current, queryable copy of Salesforce in Snowflake for reporting, analytics, or AI, that is what Sesame Software is built for. One thing to plan for: Snowflake receives the current state of each changed record. Prior versions are not retained, because history tracking is available for row-oriented databases but not for Snowflake.
Moving Salesforce or legacy data into Snowflake once, rather than keeping it in sync.
When data needs cleansing, filtering, or transformation on the way into Snowflake.
Replicating Salesforce to SQL Server, Oracle, or PostgreSQL, where history tracking is supported.
Why the Pipeline Doesn't Strain Your Org
"API-efficient" is a claim every vendor makes, so here is what it means concretely. Salesforce meters API calls per org per day, and a replication tool that ignores that budget will either exhaust it or get throttled mid-job. Four things keep Sesame Software's Salesforce data replication inside the budget.
Mechanism 01
After the initial load, each run moves only records that changed since the last successful sync. A nightly full-table refresh re-reads your entire org every time; an incremental refresh reads a fraction of it. On a large org this is the single biggest determinant of daily API consumption.
Mechanism 02
Work is parallelized across threads rather than queued serially, so throughput comes from concurrency instead of from making more calls. This is why the same pipeline scales to hundreds of millions of records without a proportional increase in API pressure.
Mechanism 03
Snowflake is a columnar warehouse and Sesame Software writes to it using bulk loaders rather than row-by-row inserts. The extract from Salesforce and the load into Snowflake are tuned separately, so neither side becomes the bottleneck that forces the other to retry.
Mechanism 04
Every job is logged with timestamps and record counts, and a failed run resumes cleanly rather than restarting from zero. A pipeline that re-reads the same records after every hiccup burns API calls twice; one that resumes where it stopped does not.
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."
Salesforce to Snowflake Integration
Most Salesforce to Snowflake integration tools treat Salesforce like a generic REST API — they hammer the API until they hit limits, then fail silently or queue indefinitely. Sesame Software's patented multithreaded technology manages Salesforce API consumption intelligently, delivering efficient cloud data integration that scales to hundreds of millions of records without throttling or data gaps.
Salesforce enforces strict API call limits per org per day. Sesame Software's patented multithreaded technology manages API consumption intelligently across your Salesforce data sync — maximizing throughput without hitting limits or requiring manual tuning. API limit management is handled automatically, not left to your engineering team to figure out.
Sesame Software handles Snowflake data ingestion for Salesforce environments of any size — from thousands to hundreds of millions of records — without re-platforming as you grow. Automatic schema alignment means new Salesforce fields are detected and added to Snowflake automatically, keeping your data warehouse connectivity current without manual intervention.
Sesame Software supports near real-time data replication from Salesforce to Snowflake — syncing as frequently as every few seconds using built-in Cron scheduling. Your Snowflake environment stays current with your Salesforce source without custom pipelines or external orchestration tools managing the cadence.
Sesame Software runs your Salesforce to Snowflake cloud data integration inside your own environment — your infrastructure, your storage, your access controls. Salesforce data sync pipelines never pass through Sesame servers. Your data moves directly from Salesforce to your Snowflake instance, giving enterprise IT teams complete control over their no-code integration tools and data movement.
Common Questions
Through point-and-click connector configuration, automatic schema discovery, and a built-in scheduler. You authorize your Salesforce org, point Sesame Software at Snowflake, and it creates the Snowflake schema, handles data type conversions, and keeps the pipeline running — no scripts to write, no manual field mapping, and no data engineering resources to maintain it. The same setup scales from thousands to hundreds of millions of records without re-platforming, and new Salesforce fields and objects are added to Snowflake automatically as your schema changes.
API bottlenecks in Salesforce warehouse sync happen when a replication tool makes unmanaged API calls — hitting Salesforce's daily limits, throttling pipelines, or failing jobs silently during peak usage. Sesame Software combines two things to prevent this: incremental sync, which moves only the records that changed since the last successful run rather than re-reading the full table, and patented multithreaded technology that manages API consumption across every sync job to maximize throughput without triggering limits. For enterprise IT teams running stable high-volume replication to Snowflake or other data warehouses, this means pipelines that run reliably at scale without manual API tuning or engineering oversight to keep them healthy.
Yes. After the initial full load, each run captures only the Salesforce records that changed since the last successful sync and writes them to Snowflake using bulk loaders. A built-in Cron scheduler sets the interval — as often as every few seconds for near real-time reporting, or as infrequently as once a year for scheduled batch. If a run fails, the next one picks up from the last successful sync, so changes aren't skipped and no full reload is needed.
Salesforce's native Change Data Capture publishes change events to an event bus. To get those changes into Snowflake, you build and run a subscriber that reads the events through Pub/Sub API or CometD and writes them to your warehouse. Events are retained for 72 hours, and the default allocation covers up to five selected objects, with more requiring an add-on license. Sesame Software replaces that subscriber with a no-code pipeline: changes are read on your schedule, catch-up starts from the last successful sync rather than a retention window, and custom objects are covered automatically. If you need event-driven triggers in another application, native Change Data Capture is the right tool. If you need a current, queryable copy of Salesforce in Snowflake, that is what Sesame Software is built for.
Automatically. When you add a custom field or custom object in Salesforce, Sesame Software detects the schema change and updates the Snowflake schema to match — creating new columns or tables as needed. No manual mapping, no intervention from your team.
Yes. You can run a full one-time archive of your Salesforce data into Snowflake, or set up ongoing incremental refreshes to keep a live replica current. Both are configured through the same interface and typically up and running in under an hour.
Sesame Software includes built-in job monitoring with error detection and alerting. Every job is logged with timestamps and record counts. If something fails, you'll know immediately — and the platform is designed to resume cleanly without data loss or duplication.
History tracking — which stores prior images of changed records — is supported for row-oriented databases. Because Snowflake is a columnar database that uses bulk loaders, this specific feature is not available for Snowflake destinations. Change data capture still works for Snowflake: each changed record is updated to its current state, but prior versions are not retained. If change history tracking is a requirement for your use case, our team can walk you through the right approach during your demo.
No. Your Salesforce data moves directly from Salesforce into your Snowflake environment. Sesame Software never stores your data on our servers. You control access, retention, and security end to end.
Join enterprise data teams already using Sesame Software to centralize, analyze, and unlock their Salesforce data in Snowflake — without writing a line of code.
Get Your Free Demo →