Real-time
Two-way sync
Changes in AWS Aurora PostgreSQL or Nimble instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
AWS Aurora PostgreSQL to Nimble integration — real-time, two-way sync
Keep AWS Aurora PostgreSQL and Nimble 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect AWS Aurora PostgreSQL and Nimble
Treat Nimble 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 Activities, Notes, Tags, Custom fields from Nimble into Tables, Rows, Columns, Primary keys and constraints 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 Nimble 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 Consolidate contacts from marketing tools into Nimble while writing Nimble edits back to avoid duplicates.
- 02 Feed Nimble activity and task data into reporting dashboards without manual CSV exports.
- 03 Feed operational dashboards from a read replica while the writer handles sync traffic.
- 04 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
Common sync patterns
Query the CRM like a database
Accounts, contacts, and custom objects from Nimble become tables in AWS Aurora PostgreSQL you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Nimble, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Nimble API, limits, and retries.
What you can sync between AWS Aurora PostgreSQL and Nimble
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 | Nimble objects | How this pairing syncs | |
|---|---|---|---|
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Deals Pipeline records linked to contacts, synced to keep revenue systems aligned with sales activity | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Deals to Nimble — 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. | Tasks To-do items tied to contacts, mirrored into work-management tools or reporting tables | Views and materialized views is specific to AWS Aurora PostgreSQL and Tasks to Nimble — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Activities Calls, events, and interaction history used for engagement reporting outside Nimble | Foreign keys is specific to AWS Aurora PostgreSQL and Activities to Nimble — 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. | Notes Free-text records attached to contacts, replicated for a complete account timeline | Replication slots and publications is specific to AWS Aurora PostgreSQL and Notes to Nimble — 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 Segmentation labels that map to list membership or filters in downstream systems | Databases and schemas is specific to AWS Aurora PostgreSQL and Tags to Nimble — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Custom fields Account-defined contact attributes that carry enrichment or internal identifiers | Tables is specific to AWS Aurora PostgreSQL and Custom fields to Nimble — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora PostgreSQL and Nimble
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 Nimble 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 Nimble through its API, with automatic retries and rate-limit backoff.
Nimble AWS Aurora PostgreSQL Interval-based propagation
DetectionStacksync polls Nimble for changes on an incremental schedule, reading only records changed since the previous pass. Polling on record modification timestamps.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Nimble: Subject to per-account API request quotas.
What ships with AWS Aurora PostgreSQL ⇄ Nimble
Connect AWS Aurora PostgreSQL and Nimble for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Nimble connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora PostgreSQL or Nimble 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 Nimble record.
Observability
Monitoring
Track your AWS Aurora PostgreSQL ⇄ Nimble 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 Nimble.
How the AWS Aurora PostgreSQL and Nimble 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
Nimble
- Integration surface
- REST API (JSON)
- Authentication
- API key; OAuth 2.0 available for registered applications
- Change detection
- polling on record modification timestamps
- Capabilities
- read · write
- Rate limits
- subject to per-account API request quotas
How it works
How to connect AWS Aurora PostgreSQL to Nimble — 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 Nimble 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
Nimble
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora PostgreSQL and Nimble 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 ⇄ NimbleCustomers 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 NimbleCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora PostgreSQL and Nimble integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Nimble: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Primary keys and constraints and Views and materialized views), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Nimble 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 Nimble connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Nimble integration in-house.
-
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Nimble. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Nimble: Polling on record modification timestamps. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Nimble side: Activities, Notes, Tags, Custom fields, plus custom fields where Nimble exposes them. On the AWS Aurora PostgreSQL side: Tables, Rows, Columns, Primary keys and constraints. Stacksync auto-detects both schemas and converts types between the two systems.
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 367 integrations available for AWS Aurora PostgreSQL and Nimble.
Popular · 3 of 367
No integrations match .
