Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Kustomer instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
AWS Aurora PostgreSQL to Kustomer integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and Kustomer in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora PostgreSQL and Kustomer
Treat Kustomer like part of your database: its records live in AWS Aurora PostgreSQL as real tables, and writes in either place sync to the other in seconds.
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 Custom Objects (Klasses), Users, Teams, Tags from Kustomer into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas 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 Kustomer 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.
Common use cases
- 01 Push order and shipment records from commerce systems into Kustomer custom objects so agents answer order-status questions without switching tools
- 02 Mirror conversations and satisfaction data into a warehouse for support analytics and agent performance reporting
- 03 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
- 04 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
Common sync patterns
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Kustomer API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Kustomer arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Kustomer become tables in AWS Aurora PostgreSQL you can join with application data directly.
What you can sync between AWS Aurora PostgreSQL and Kustomer
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 | Kustomer objects | How this pairing syncs | |
|---|---|---|---|
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Messages Individual messages within conversations support full-thread replication. | Columns is specific to AWS Aurora PostgreSQL and Messages to Kustomer — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Companies Organization records group customers and map to CRM accounts. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Companies to Kustomer — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Custom Objects (Klasses) Structured external records such as orders and subscriptions synced in to appear on the customer timeline. | Views and materialized views is specific to AWS Aurora PostgreSQL and Custom Objects (Klasses) to Kustomer — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Users Agent records map conversation ownership to people in other systems. | Foreign keys is specific to AWS Aurora PostgreSQL and Users to Kustomer — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Teams Team assignments support routing parity and reporting. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Teams to Kustomer — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Tags Labels on conversations and customers sync for categorization and analytics. | Databases and schemas is specific to AWS Aurora PostgreSQL and Tags to Kustomer — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL and Kustomer
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
AWS Aurora PostgreSQL Kustomer Sub-second propagation
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to Kustomer through its API, with automatic retries and rate-limit backoff.
Kustomer AWS Aurora PostgreSQL Sub-second propagation
DetectionKustomer notifies Stacksync of record changes through webhook events. Outbound webhooks on record events, plus polling for backfill.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Kustomer: Subject to the platform's API rate limits.
What ships with AWS Aurora PostgreSQL ⇄ Kustomer
Connect AWS Aurora PostgreSQL and Kustomer for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Kustomer connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or Kustomer data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Kustomer record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ Kustomer sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Kustomer.
How the AWS Aurora PostgreSQL and Kustomer connectors work
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
Kustomer
- Integration surface
- REST API
- Authentication
- API key used as a bearer token, scoped by role
- Change detection
- Outbound webhooks on record events, plus polling for backfill
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect AWS Aurora PostgreSQL to Kustomer — three steps, no code
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.
- 01
Connect your apps
Authenticate AWS Aurora PostgreSQL and Kustomer with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
AWS Aurora PostgreSQL
connected
Kustomer
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and Kustomer 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.
objects · AWS Aurora PostgreSQL ⇄ KustomerCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora PostgreSQL KustomerCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Kustomer integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Kustomer: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Columns and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Kustomer side: Custom Objects (Klasses), Users, Teams, Tags, plus custom fields where Kustomer exposes them. On the AWS Aurora PostgreSQL side: Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for AWS Aurora PostgreSQL and Kustomer: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Kustomer API, limits, and retries.
-
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Kustomer: REST API. Authentication: API key used as a bearer token, scoped by role. Stacksync manages authentication, retries, and rate limits on both sides.
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Kustomer: API keys are issued as role-scoped bearer tokens, so integration access can be limited to the specific object types a sync touches. AWS Aurora PostgreSQL: Aurora's storage layer replicates data six ways across three Availability Zones and is shared by up to 15 read replicas. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Kustomer without custom code.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 366 integrations available for AWS Aurora PostgreSQL and Kustomer.
Popular · 5 of 366
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No integrations match .
