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Database ⇄ CRM

AWS Aurora PostgreSQL to Insightly integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Insightly 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 Insightly

Treat Insightly 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 Leads, Opportunities, Projects, Tasks from Insightly into Rows, Columns, Primary keys and constraints, Views and materialized views 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 Insightly 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

  • Replicate opportunities into Postgres or a warehouse so RevOps can report on pipeline with SQL
  • Keep Insightly projects aligned with delivery or PSA tools after opportunities close
  • Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • Feed operational dashboards from a read replica while the writer handles sync traffic.

Product events onto CRM records

Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Insightly, 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 Insightly API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Insightly arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.

What you can sync between AWS Aurora PostgreSQL and Insightly

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 Insightly objects
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Custom Fields Per-object custom fields carry enrichment and billing data written from external systems.
Replication slots and publications The logical replication objects that power log-based CDC. Contacts Person records sync with marketing and support tools to keep one contact list.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Organizations Company records map to accounts in ERPs and other CRMs.
Tables The core sync unit; rows are matched across systems by primary key. Leads Unqualified prospects sync in from forms and enrichment sources before conversion.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Opportunities Pipeline records feed forecasting and warehouse-based reporting.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Projects Delivery records created from won opportunities sync with PSA and task tools.
What ships with AWS Aurora PostgreSQL ⇄ Insightly

Connect AWS Aurora PostgreSQL and Insightly for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Insightly connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Insightly instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Insightly 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 Insightly record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Insightly 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 Insightly.

How the AWS Aurora PostgreSQL and Insightly 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

Insightly

Integration surface
REST API (versioned)
Authentication
API key sent via HTTP Basic authentication
Change detection
Polling on record updated-date fields
Capabilities
read · write
Rate limits
Daily API request caps vary by Insightly plan
How it works

How to connect AWS Aurora PostgreSQL to Insightly — 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.

  1. 01

    Connect your apps

    Authenticate AWS Aurora PostgreSQL and Insightly with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora PostgreSQL connected
    Insightly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Insightly 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora PostgreSQL ⇄ Insightly
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora PostgreSQL Insightly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Insightly integration FAQ

SECURITY

Security teams love 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.

Learn more about security
SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and Insightly.

Popular · 8 of 386
All AWS Aurora PostgreSQL integrations All Insightly integrations Browse all integrations
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