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Database ⇄ CRM

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

Keep Amazon Aurora 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 Amazon Aurora and Insightly

Treat Insightly like part of your database: its records live in Amazon Aurora 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 Amazon Aurora, where it can be queried and joined like everything else.

Stacksync mirrors Products, Custom Fields, Contacts, Organizations from Insightly into Columns and Data Types, Primary and Foreign Keys, Read Replicas, Databases in Amazon Aurora 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

  • 01 Deduplicate and align customer records between Insightly and an ERP or invoicing system
  • 02 Two-way sync of Insightly contacts and organizations with a marketing automation platform
  • 03 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • 04 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.

Common sync patterns

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 Amazon Aurora, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Insightly become tables in Amazon Aurora you can join with application data directly.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Insightly objects How this pairing syncs
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Projects Delivery records created from won opportunities sync with PSA and task tools. Columns and Data Types is specific to Amazon Aurora and Projects to Insightly — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Tasks Activity records keep follow-ups consistent across systems. Primary and Foreign Keys is specific to Amazon Aurora and Tasks to Insightly — each maps to any object or custom field on the other side.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Events Calendar items sync for a complete activity timeline. Read Replicas is specific to Amazon Aurora and Events to Insightly — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Notes Free-text context attaches to synced records for downstream visibility. Databases is specific to Amazon Aurora and Notes to Insightly — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Products Product catalog entries support line-item syncing on opportunities and quotes. Schemas is specific to Amazon Aurora and Products to Insightly — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. Custom Fields Per-object custom fields carry enrichment and billing data written from external systems. Tables is specific to Amazon Aurora and Custom Fields to Insightly — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Insightly

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.

Amazon Aurora Insightly Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

DeliveryEach detected change is written to Insightly through its API, with automatic retries and rate-limit backoff.

Insightly Amazon Aurora Interval-based propagation

DetectionStacksync polls Insightly for changes on an incremental schedule, reading only records changed since the previous pass. Polling on record updated-date fields.

DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • Insightly: Daily API request caps vary by Insightly plan.
What ships with Amazon Aurora ⇄ Insightly

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Insightly record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Insightly sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Insightly.

How the Amazon Aurora and Insightly connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    Insightly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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 · Amazon Aurora ⇄ 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
    Amazon Aurora Insightly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Insightly integration FAQ

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.

Learn more about security
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:

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 444 integrations available for Amazon Aurora and Insightly.

Popular · 6 of 444
All Amazon Aurora integrations All Insightly integrations Browse all integrations
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