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Database ⇄ Business productivity

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

Keep AWS Aurora PostgreSQL and Ironclad in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora PostgreSQL and Ironclad

Mirror Ironclad's data into AWS Aurora PostgreSQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Ironclad through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora PostgreSQL.

Stacksync mirrors Records, Entities, Obligations, Webhooks from Ironclad into Databases and schemas, Tables, Rows, Columns in AWS Aurora PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Ironclad, so the tool and the database never disagree.

Common use cases

  • 01 Two-way sync Ironclad Records with a warehouse or ERP so executed-contract value, counterparty, renewal dates, and status stay current without manual re-keying.
  • 02 Sync Entities (counterparties) two-way with a CRM or ERP so company and vendor master data matches across the CLM and the systems of record.
  • 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

Read Ironclad with a query

Records from Ironclad are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.

Automate Ironclad from your codebase

Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Ironclad, replacing custom integration code.

React to changes as they happen

Updates in Ironclad arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.

What you can sync between AWS Aurora PostgreSQL and Ironclad

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 Ironclad objects How this pairing syncs
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Entities Structured records for counterparties and other parties linked to workflows and records; read and written to keep company and vendor master data aligned with a CRM or ERP. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Entities to Ironclad — 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. Obligations Post-signature commitments, milestones, and renewal dates tied to contracts; synced two-way to drive renewal, compliance, and finance reporting in downstream systems. Views and materialized views is specific to AWS Aurora PostgreSQL and Obligations to Ironclad — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Webhooks Event subscriptions that push workflow, approval, signature, document, and comment changes to Stacksync in near real time; created, listed, and deleted through the API across 40+ event types. Foreign keys is specific to AWS Aurora PostgreSQL and Webhooks to Ironclad — 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. Workflow Approvals Per-workflow approval requests and their state; read to report approval status and cycle time, and status changes arrive live through the workflow_approval_status_changed event. Replication slots and publications is specific to AWS Aurora PostgreSQL and Workflow Approvals to Ironclad — 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. Signature Packets The e-signature packets on a workflow (sent, signatures collected, fully signed); read to track signing progress, with packet events delivered by webhook for real-time status. Databases and schemas is specific to AWS Aurora PostgreSQL and Signature Packets to Ironclad — 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. Workflow Documents Draft and executed documents attached to a workflow; retrieved to pull generated or signed files out into a document store or archive. Tables is specific to AWS Aurora PostgreSQL and Workflow Documents to Ironclad — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Ironclad

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 Ironclad 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 Ironclad through its API, with automatic retries and rate-limit backoff.

Ironclad AWS Aurora PostgreSQL Sub-second propagation

DetectionIronclad notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /webhooks) fire on 40+ workflow, approval, signature, document, and comment events, and Ironclad retries a failing.

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

Rate-limit considerations

  • Ironclad: Limits are enforced per account per minute by endpoint: GET Workflows 400 and POST/PATCH Workflows 40; GET Records 600 and POST/PATCH Records 200; GET Entities 600 and POST/PATCH Entities 200; Webhooks 600; all other endpoints 800. Exceeding a limit returns HTTP 429, and Ironclad recommends exponential backoff with jitter.
What ships with AWS Aurora PostgreSQL ⇄ Ironclad

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

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

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Ironclad 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 Ironclad 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 Ironclad record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Ironclad 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 Ironclad.

How the AWS Aurora PostgreSQL and Ironclad 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

Ironclad

Integration surface
REST/JSON Public API (CLM API) at https://na1.ironcladapp.com/public/api/v1 (NA1 and EU1 regions plus a demo/sandbox), with a native Webhooks subscription API; described by an OpenAPI 3.1 spec.
Authentication
OAuth 2.0 - Authorization Code grant (PKCE for public clients) and Client Credentials grant for server-to-server; access tokens are Bearer, expire after 6 hours, and every endpoint is gated by a resource scope. The legacy static API bearer token was deprecated on 2024-11-22.
Change detection
Native webhook subscriptions (POST /webhooks) fire on 40+ workflow, approval, signature, document, and comment events, and Ironclad retries a failing endpoint up to 10 times over about 13.6 hours with exponential backoff. Otherwise poll the list endpoints by last-updated. There is no database change-data-capture log.
Capabilities
read · write · webhooks
Rate limits
Limits are enforced per account per minute by endpoint: GET Workflows 400 and POST/PATCH Workflows 40; GET Records 600 and POST/PATCH Records 200; GET Entities 600 and POST/PATCH Entities 200; Webhooks 600; all other endpoints 800. Exceeding a limit returns HTTP 429, and Ironclad recommends exponential backoff with jitter.
How it works

How to connect AWS Aurora PostgreSQL to Ironclad — 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 Ironclad 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
    Ironclad connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Ironclad 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 ⇄ Ironclad
    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 Ironclad
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Ironclad 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
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ISO 27001
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DPF US-EU-UK-CH
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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 457 integrations available for AWS Aurora PostgreSQL and Ironclad.

Popular · 8 of 457
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