Real-time
Two-way sync
Changes in BigQuery or Ironclad instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
BigQuery to Ironclad integration — real-time, two-way sync
Keep BigQuery 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 BigQuery and Ironclad
Get the data locked inside Ironclad into BigQuery as live tables, and send results back where Ironclad can use them, without writing a pipeline.
Whatever Ironclad is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Signature Packets, Workflow Documents, Workflows, Records from Ironclad into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Ironclad where the tool can use them.
Common use cases
- 01 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.
- 02 Stream workflow approval and signature webhook events into an operational database for cycle-time, bottleneck, and SLA reporting across the contract lifecycle.
- 03 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
- 04 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
Common sync patterns
Analytics on Ironclad's data
Records and events from Ironclad land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Cross-tool reporting
Combine Ironclad's data with data from every other synced system to answer questions no single tool can.
Where Ironclad accepts updates: operational write-back
Segments, scores, or reference values computed in BigQuery sync back onto records in Ironclad, putting analysis where the work happens.
What you can sync between BigQuery 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.
| BigQuery objects | Ironclad objects | How this pairing syncs | |
|---|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | 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. | Datasets is specific to BigQuery and Workflows to Ironclad — each maps to any object or custom field on the other side. | |
| Projects Connection scope: the service account grants access per project. | 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. | Projects is specific to BigQuery and Records to Ironclad — each maps to any object or custom field on the other side. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | 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. | Tables is specific to BigQuery and Entities to Ironclad — each maps to any object or custom field on the other side. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Obligations Post-signature commitments, milestones, and renewal dates tied to contracts; synced two-way to drive renewal, compliance, and finance reporting in downstream systems. | Partitioned tables is specific to BigQuery and Obligations to Ironclad — each maps to any object or custom field on the other side. | |
| Clustered tables Supported; clustering is transparent to the sync. | 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. | Clustered tables is specific to BigQuery and Webhooks to Ironclad — each maps to any object or custom field on the other side. |
How changes propagate between BigQuery 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.
BigQuery Ironclad Sub-second propagation
DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").
DeliveryEach detected change is written to Ironclad through its API, with automatic retries and rate-limit backoff.
Ironclad BigQuery 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 BigQuery as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
- 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 BigQuery ⇄ Ironclad
Connect BigQuery and Ironclad for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Ironclad connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BigQuery 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 BigQuery or Ironclad record.
Observability
Monitoring
Track your BigQuery ⇄ Ironclad sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between BigQuery and Ironclad.
How the BigQuery and Ironclad connectors work
BigQuery
- Integration surface
- GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
- Authentication
- Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
- Change detection
- Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
- Capabilities
- read · write · CDC
- Rate limits
- Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
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 BigQuery 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.
- 01
Connect your apps
Authenticate BigQuery 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.
BigQuery
connected
Ironclad
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BigQuery 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.
objects · BigQuery ⇄ IroncladCustomers 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.
BigQuery IroncladCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BigQuery and Ironclad integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Ironclad: authenticate both systems, choose the objects to sync (such as BigQuery's Datasets and Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed BigQuery and Ironclad connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BigQuery–Ironclad integration in-house.
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Yes — Stacksync ships production-grade connectors for both BigQuery and Ironclad. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on BigQuery: Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in. On Ironclad: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Ironclad side: Signature Packets, Workflow Documents, Workflows, Records, plus custom fields where Ironclad exposes them. On the BigQuery side: Clustered tables, Datasets, Projects, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 547 integrations available for BigQuery and Ironclad.
Popular · 8 of 547
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BigQuery ⇄ Orderful -
BigQuery ⇄ Resend - BigQuery ⇄ ServiceNow
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BigQuery ⇄ Slack -
Ironclad ⇄ Google Cloud Platform -
Ironclad ⇄ Greenplum -
Ironclad ⇄ IBM Netezza -
Ironclad ⇄ Materialize
No integrations match .
