Two-way sync
Changes in AWS Aurora PostgreSQL or Salesmate instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Salesmate in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in AWS Aurora PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors Pipelines and Stages, Products, Notes, Users from Salesmate into Foreign keys, Replication slots and publications, Databases and schemas, Tables in AWS Aurora PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Salesmate with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Field and stage updates in Salesmate arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Salesmate become tables in AWS Aurora PostgreSQL you can join with application data directly.
Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Salesmate, giving go-to-market teams live product context.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| AWS Aurora PostgreSQL objects | Salesmate objects | |
|---|---|---|
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Deals Pipeline opportunities with stage and value, synced out for revenue reporting. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Activities Calls, emails, and tasks logged against records and exported for analytics. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Pipelines and Stages Sales process definitions read for stage mapping in syncs. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Products Catalog items attached to deals, typically sourced from an ERP or billing system. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Notes Free-text records synced for context in support or success tools. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Users Team member records used for ownership mapping. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Salesmate connection.
Changes in AWS Aurora PostgreSQL or Salesmate instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Salesmate data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Salesmate record.
Track your AWS Aurora PostgreSQL ⇄ Salesmate sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Salesmate.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate AWS Aurora PostgreSQL and Salesmate with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the AWS Aurora PostgreSQL and Salesmate objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Salesmate: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Views and materialized views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Salesmate: REST API. Authentication: Access token (API key) sent as a request header. Stacksync manages authentication, retries, and rate limits on both sides.
Salesmate: It exposes a REST API and automation-driven webhooks; exact endpoints and limits are subject to the platform's current API documentation. AWS Aurora PostgreSQL: Logical replication uses publications and replication slots, so CDC reads changes from the write-ahead log without polling production tables. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Salesmate without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and Salesmate records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Salesmate connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Salesmate integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Salesmate. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Salesmate.