ETL in, reverse-ETL out, two bills to babysit
Salesforce to Snowflake runs on one tool, Snowflake to Salesforce on another. Two schedules, two failure modes, two invoices, and nobody owns the round trip end to end.
Sync Salesforce and Snowflake bidirectionally in real time, so analysts query fresh CRM data and ops write enriched warehouse fields back to the record, with no separate reverse-ETL bill.
Most teams pay for ETL one way and reverse-ETL the other, then spend their week reconciling the two. The seams show fast.
Salesforce to Snowflake runs on one tool, Snowflake to Salesforce on another. Two schedules, two failure modes, two invoices, and nobody owns the round trip end to end.
Add a custom field in Salesforce and the warehouse load fails or drops it quietly. Analysts query stale columns and trust erodes one missing field at a time.
Models compute a health or fit score in Snowflake, but reverse-ETL ships it to Salesforce on a schedule. The rep opens the record before the number arrives.
Every tool Stacksync replaces is one fewer vendor, one fewer bill, one fewer integration to maintain.
Changes made in one platform automatically update across all connected systems in real time, eliminating data silos and reducing errors.
Stop building brittle API scripts. With Stacksync, you can trigger complex automated workflows using simple SQL commands.
Expose every enterprise system to your agents through a single MCP layer. Claude, ChatGPT and Gemini get production-grade tools without custom glue code.
Handle massive traffic spikes without losing a single event. Queues buffer your data during surges, ensuring strict ordering and reliable delivery.
Interact with your CRM, ERP, and payment tools as if they were just another table in your database. Say goodbye to rate limits and complex API documentation.
Transform legacy EDI complexity into simple database interactions. Stacksync automatically parses incoming EDI documents directly into your database tables.
Stacksync ships pre-built two-way connectors for the CRMs, warehouses, databases, and analytics tools that sit on both ends of the pipe, with schema-aware mapping and replay.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Is this ETL, reverse-ETL, or both?
Both, in one tool. Stacksync syncs Salesforce to Snowflake and back bidirectionally in real time, so you don't pay two vendors or stitch two schedules to close the loop.
What happens when someone adds a Salesforce field?
The mapper detects new and changed fields, so a new custom field surfaces to map instead of silently breaking the load. Schema drift becomes a one-click decision, not an outage.
How are conflicting edits resolved?
Field-level conflict policies decide per field whether the CRM or warehouse wins, with last-write-wins or source-of-truth rules, so a rep edit and a model write never clobber each other.
How fresh is the data on each side?
Sub-second to low-seconds via Salesforce CDC and warehouse change streams. Analysts query current CRM data and reps see freshly computed scores without waiting on a nightly job.