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.
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Snowflake Data Migration
Sesame Software handles large-scale data migrations from legacy databases, SQL Server, Oracle, Salesforce, and other enterprise systems into Snowflake — with patented multithreaded technology, automatic schema discovery and syncing, and no custom coding required.
Why migrations stall: Manual data mapping and custom scripts turn a weeks-long migration into a months-long project. Sesame Software auto-discovers your schema and keeps it in sync as your source data evolves — so your team spends time validating results, not rebuilding pipelines.
Talk to a migration expert and see how Sesame Software moves your data into Snowflake — fast, clean, and without the manual work.
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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.
Schema Changes, Handled at the Source
Snowflake's own schema evolution is real and useful — but it only reacts to files that are already staged for Snowflake. Someone still has to notice the change in SQL Server, Oracle, or Salesforce, pull it out, and get it into a file. That's the part that breaks migrations.
When enabled, a COPY INTO or Snowpipe load can add new columns automatically as new data arrives. It's additive only — no renames, no type changes, no drops — and it has to be turned on per table.
Schema evolution starts from a file that's already in cloud storage. Getting a new field out of SQL Server or a new custom object out of Salesforce, and into that file, is still a pipeline someone has to build and maintain.
Sesame Software reads your source schema directly — SQL Server, Oracle, Salesforce, and 20+ others — and detects new fields and objects there. It updates the Snowflake schema to match automatically, so there's no staging pipeline for your team to maintain in between.
When Sesame Software detects a new field in your source data — say, a new column in SQL Server or a new custom object in Salesforce — it creates the matching column or table in Snowflake automatically, including renames and data type changes that staged-file schema evolution can't handle. The pipeline keeps running and your reporting schedule is never interrupted. This is the difference between schema evolution on the Snowflake side and schema discovery on the source side: Sesame Software does both, so there's nothing in between for your team to build.
Migrate From Any Source
Connect your source system and Sesame Software auto-discovers the schema, builds the Snowflake target automatically, and migrates your data with full verification.
What You Get
No custom development, no dedicated data engineering team, no months-long implementation. Sesame Software handles the technical complexity so your team focuses on using the data.
Sesame Software connects to your source system and auto-discovers your full schema — tables, columns, data types, relationships, and custom fields. As the source schema evolves, Snowflake stays in sync automatically. No manual mapping, no break-fix cycles.
Migrations run on Sesame Software's patented multithreaded technology — parallelizing data movement into Snowflake to avoid the bottlenecks typical migrations hit at scale.
Connecting your source, connecting Snowflake, and starting the first sync takes less than an hour for most customers. No weeks of planning, no lengthy implementation project.
Run a full one-time migration before decommissioning a system, or set up ongoing incremental sync to keep a live Snowflake replica. Same platform, same setup, your choice of cadence.
Migrated data goes directly into your Snowflake environment. Sesame Software never stores your data on our servers. You control access, retention, and security from day one.
Once your migration is running, there is nothing to maintain. Schema changes sync automatically. Job monitoring and error detection are built in. Your team stays focused on the data, not the pipeline.
How It Works
No dev resources, no data engineering team, no implementation project. Sesame Software handles the complexity of migrating your data so your team doesn't have to.
Point Sesame Software at your SQL Server, Oracle, Salesforce, or other source system. Auto-discovery maps your full schema — tables, columns, relationships, and custom fields. No manual configuration.
Connect your Snowflake environment. Sesame Software creates the target schema automatically, handles all data type conversions, and configures the migration. One-time or ongoing — your call.
Sesame Software runs the migration with built-in monitoring and error detection. Your data lands in Snowflake clean, structured, and ready to query. Schema changes in the source sync automatically going forward.
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."
"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
Setup takes less than an hour for most customers: connecting to your source, connecting to Snowflake, and starting the first sync. There is no manual data mapping, no custom coding, and no lengthy planning phase. How long the migration itself takes to finish depends on your data volume.
SQL Server, Oracle, Salesforce, Pardot, NetSuite, PostgreSQL, MySQL, Azure SQL, and 20+ other enterprise sources. Sesame Software handles schema discovery and syncing automatically for all supported sources.
No. Sesame Software auto-discovers your source schema, creates the target tables in Snowflake, and handles all data type conversions automatically. No manual mapping, no data modeling, no data engineering team required.
Snowflake's own schema evolution can add new columns automatically during a COPY INTO or Snowpipe load, but it only works on files already staged for Snowflake, it's additive only (no renames, no type changes, no drops), and it has to be explicitly enabled. It doesn't extract anything from your source system. Sesame Software reads your source schema directly — SQL Server, Oracle, Salesforce, and others — and when a field, object, or data type changes there, it updates the Snowflake schema to match automatically, including new tables for new objects. That keeps the extraction side covered, which staged-file schema evolution was never built to do.
Both. You can run a full one-time migration before decommissioning a legacy system, or set up ongoing incremental sync to keep a live Snowflake replica current. The setup process is the same either way.
Sesame Software's patented multithreaded data movement technology is built specifically for large-scale migrations. It delivers fast, parallelized ingestion into Snowflake without the bottlenecks that slow down traditional migration approaches at scale.
Stop letting manual mapping and schema breaks slow your migration down. Sesame Software gets your data into Snowflake in under an hour — clean, complete, and synced automatically going forward.
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