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Database ⇄ Business productivity

Google Cloud SQL to Ironclad integration — real-time, two-way sync

Keep Google Cloud SQL 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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Why teams connect Google Cloud SQL and Ironclad

Mirror Ironclad's data into Google Cloud SQL 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 Google Cloud SQL.

Stacksync mirrors Webhooks, Workflow Approvals, Signature Packets, Workflow Documents from Ironclad into Tables, Rows, Views, Transaction logs in Google Cloud SQL 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 Stream workflow approval and signature webhook events into an operational database for cycle-time, bottleneck, and SLA reporting across the contract lifecycle.
  • 02 Push Obligations and renewal dates from Ironclad into a finance or task system so post-signature commitments and renewals are tracked and actioned on time.
  • 03 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 04 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.

Common sync patterns

Automate Ironclad from your codebase

Write to the synced tables in Google Cloud SQL 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 Google Cloud SQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Google Cloud SQL 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.

Google Cloud SQL objects Ironclad objects How this pairing syncs
Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. Workflows The core unit of Ironclad: a live contract process (NDA, MSA, order form) moving through creation, review, approval, and signature. Launched via POST, updated via PATCH, and read for status, so contract processes move two-way between Ironclad and a database, CRM, or ERP. Instances is specific to Google Cloud SQL and Workflows to Ironclad — each maps to any object or custom field on the other side.
Databases Scope the tables included in a sync configuration. Records The Repository of executed and stored contracts with metadata (value, counterparty, key dates, type) and attachments; full create, read, update, and delete so signed-contract data and PDFs sync to a warehouse, ERP, or CRM. Databases is specific to Google Cloud SQL and Records to Ironclad — each maps to any object or custom field on the other side.
Schemas Namespace tables in PostgreSQL and SQL Server instances. 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. Schemas is specific to Google Cloud SQL and Entities to Ironclad — each maps to any object or custom field on the other side.
Tables Mapped directly to sync targets; schema changes can be propagated. Obligations Post-signature commitments, milestones, and renewal dates tied to contracts; synced two-way to drive renewal, compliance, and finance reporting in downstream systems. Tables is specific to Google Cloud SQL and Obligations to Ironclad — each maps to any object or custom field on the other side.
Rows Read and written by primary key during each sync cycle. 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. Rows is specific to Google Cloud SQL and Webhooks to Ironclad — each maps to any object or custom field on the other side.
Views Read-only sources for shaping data before syncing it out. 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. Views is specific to Google Cloud SQL and Workflow Approvals to Ironclad — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud SQL 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.

Google Cloud SQL Ironclad Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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

Ironclad Google Cloud SQL 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 Google Cloud SQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
  • 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 Google Cloud SQL ⇄ Ironclad

Connect Google Cloud SQL and Ironclad for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Ironclad connection.

Real-time

Two-way sync

Changes in Google Cloud SQL or Ironclad instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud SQL 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 Google Cloud SQL or Ironclad record.

Observability

Monitoring

Track your Google Cloud SQL ⇄ Ironclad sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Ironclad.

How the Google Cloud SQL and Ironclad connectors work

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.

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 Google Cloud SQL 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 Google Cloud SQL 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
    Google Cloud SQL connected
    Ironclad connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud SQL 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 · Google Cloud SQL ⇄ 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
    Google Cloud SQL Ironclad
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud SQL 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
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 440 integrations available for Google Cloud SQL and Ironclad.

Popular · 6 of 440
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