Compare, integrate
and sync your CRM
in real time

Stacksync syncs natively with Salesforce, HubSpot, Microsoft Dynamics 365, Zoho CRM, Pipedrive, Attio, Copper, Close, Insightly, SugarCRM, and Freshsales — plus dozens more via the connector catalog. Each connector handles custom objects, custom fields, and per-tenant schemas without code. New CRMs are added on request; the typical lead time from request to production connector is 2 to 4 weeks. The full list is at stacksync.com/connectors.

Bidirectional by default. Updates in Salesforce propagate to HubSpot (or to Postgres, NetSuite, etc.) in milliseconds, and vice versa. You can configure per-field direction if you want some attributes one-way and others two-way — for example, sync emails both ways but only sync deal stages from Salesforce to HubSpot. Conflict resolution handles the case where the same record is edited on both sides at the same time.

Sub-second for most CRM combinations on the streaming path. Stacksync uses CRM-native change-data-capture (Salesforce CDC, HubSpot webhooks, Dynamics change tracking) so every update emits an event the moment it happens; the event is delivered to the destination CRM within 200 to 800 milliseconds in steady state. For CRMs without native change events, Stacksync falls back to polling every 30 to 60 seconds, which is still 100x faster than batch ETL tools.

Yes — custom fields, custom objects, formula fields, picklists, and reference fields are all supported. Field-level mapping is configurable through a visual editor: drag fields from source to destination, set transformations (concat, split, lookup, etc.), and define defaults. Mappings version automatically so you can roll back. Stacksync also handles schema drift: when a new field appears in Salesforce, the platform flags it in the mapping UI rather than silently dropping it.

Stacksync detects the conflict and resolves it via your configured policy: last-write-wins (based on source timestamp), source-of-truth-wins (one CRM is canonical for that field), or manual review (the conflict is queued in the dashboard for an operator to resolve). The dead-letter queue captures every conflict with full context — source state, destination state, timestamps — so you can audit and replay any decision. Conflict policy is configurable per-object and per-field.

Yes. CRM-to-database is one of the most common Stacksync patterns. Postgres, MySQL, MongoDB, DynamoDB, Oracle, SQL Server, Snowflake, BigQuery, Databricks, and MotherDuck are all supported as both sources and destinations. You can sync Salesforce accounts into a Postgres table for in-app analytics, or push Snowflake-computed lead scores into HubSpot. Schemas auto-evolve on the database side — Stacksync handles ALTER TABLE for you when CRM schemas change.

Yes — Stacksync is SOC 2 Type II audited annually, ISO 27001 certified, HIPAA-aligned for healthcare CRM workloads, and GDPR-compliant for EU customer data. All CRM data is encrypted in transit and at rest. Credentials are stored in a hardware-backed key vault and rotated automatically. The audit report is available on request under NDA. Enterprise customers can also process data within a dedicated regional cluster (US, EU, APAC) for data residency requirements.

Workato, Boomi, and Zapier are workflow / integration tools built around per-step pricing — they get expensive and slow at scale because each record passes through their orchestration layer. Stacksync is a streaming sync platform: it connects directly to CRM change feeds, applies your mapping, and writes to the destination without orchestration overhead. The result is millisecond latency, predictable per-connection pricing, and the ability to sync millions of records per hour without rate-limit failures.