Real-time
Two-way sync
Changes in Ironclad or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Ironclad to Snowflake integration — real-time, two-way sync
Keep Ironclad and Snowflake 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 Ironclad and Snowflake
Get the data locked inside Ironclad into Snowflake 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 Workflows, Records, Entities, Obligations from Ironclad into tables in Snowflake continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Snowflake 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 Push product usage aggregates from Snowflake into sales and success tools for account prioritization
- 04 Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis
Common sync patterns
Where Ironclad accepts updates: operational write-back
Segments, scores, or reference values computed in Snowflake sync back onto records in Ironclad, putting analysis where the work happens.
History that outlives the tool
A continuously synced copy in Snowflake preserves a queryable record even as data ages out of Ironclad or gets changed inside it.
Analytics on Ironclad's data
Records and events from Ironclad land in Snowflake as queryable tables, current within seconds and ready to join with the rest of the warehouse.
What you can sync between Ironclad and Snowflake
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.
| Ironclad objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| Workflow Documents Draft and executed documents attached to a workflow; retrieved to pull generated or signed files out into a document store or archive. | Views Modeled projections used as the source side of outbound syncs. | Workflow Documents is specific to Ironclad and Views to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Precomputed results synced outward for low-latency reads. | Workflows is specific to Ironclad and Materialized Views to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | Records is specific to Ironclad and Streams to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | Stages File staging areas used for bulk loads into synced tables. | Entities is specific to Ironclad and Stages to Snowflake — each maps to any object or custom field on the other side. | |
| Obligations Post-signature commitments, milestones, and renewal dates tied to contracts; synced two-way to drive renewal, compliance, and finance reporting in downstream systems. | Tasks Scheduled SQL used to transform synced data after it lands. | Obligations is specific to Ironclad and Tasks to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Webhooks is specific to Ironclad and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side. |
How changes propagate between Ironclad and Snowflake
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.
Ironclad Snowflake 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 Snowflake as a row-level write, with types converted between the two schemas.
Snowflake Ironclad Sub-second propagation
DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.
DeliveryEach detected change is written to Ironclad through its API, with automatic retries and rate-limit backoff.
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.
- Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Ironclad ⇄ Snowflake
Connect Ironclad and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ironclad–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Ironclad or Snowflake 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 Ironclad or Snowflake record.
Observability
Monitoring
Track your Ironclad ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Ironclad and Snowflake.
How the Ironclad and Snowflake connectors work
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.
Snowflake
- Integration surface
- SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
- Authentication
- Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
- Change detection
- Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
- Capabilities
- read · write · CDC
- Rate limits
- No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
How it works
How to connect Ironclad to Snowflake — 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 Ironclad and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Ironclad
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Ironclad and Snowflake 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 · Ironclad ⇄ SnowflakeCustomers 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.
Ironclad SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Ironclad and Snowflake integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Ironclad and Snowflake: authenticate both systems, choose the objects to sync (such as Ironclad's Workflow Documents and Workflows), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Ironclad: The Public API is write-capable: you can launch and bulk-launch workflows, update workflow attributes, and create, update, or delete records, entities, and obligations - it is not a read-only export. Snowflake: External tables are not supported. Stacksync's field mapping accounts for these differences between Ironclad and Snowflake without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Ironclad and Snowflake records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Ironclad and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Ironclad–Snowflake integration in-house.
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Yes — Stacksync ships production-grade connectors for both Ironclad and Snowflake. 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 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. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 552 integrations available for Ironclad and Snowflake.
Popular · 8 of 552
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Ironclad ⇄ IBM Netezza -
Ironclad ⇄ Materialize -
Ironclad ⇄ Rockset -
Ironclad ⇄ Starburst Enterprise -
Snowflake ⇄ Microsoft 365 -
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No integrations match .
