Real-time
Two-way sync
Changes in Agiloft or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Agiloft to Snowflake integration — real-time, two-way sync
Keep Agiloft 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 Agiloft and Snowflake
Get the data locked inside Agiloft into Snowflake as live tables, and send results back where Agiloft can use them, without writing a pipeline.
Whatever Agiloft 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 People, Attachments, Approvals, Tasks from Agiloft 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 Agiloft where the tool can use them.
Common use cases
- 01 Push generated documents and executed PDFs into Agiloft Attachments from a document system, or pull signed contracts out for archival.
- 02 Stream Approvals and Tasks into an operational database for cycle-time, bottleneck, and SLA reporting across the contract lifecycle.
- 03 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
- 04 Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
Common sync patterns
Analytics on Agiloft's data
Records and events from Agiloft land in Snowflake as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Cross-tool reporting
Combine Agiloft's data with data from every other synced system to answer questions no single tool can.
Where Agiloft accepts updates: operational write-back
Segments, scores, or reference values computed in Snowflake sync back onto records in Agiloft, putting analysis where the work happens.
What you can sync between Agiloft 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.
| Agiloft objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| Tasks Assigned action items with owners, due dates, and states tied to contracts or projects; synced two-way to surface Agiloft work inside a PM or operations system. | Tasks Scheduled SQL used to transform synced data after it lands. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Clause Library Reusable, approved contract clauses with metadata and categories; read to feed clause content into other systems or reporting, or maintained from an external source of truth. | Materialized Views Precomputed results synced outward for low-latency reads. | Clause Library is specific to Agiloft and Materialized Views to Snowflake — each maps to any object or custom field on the other side. | |
| Custom tables Agiloft is a no-code platform, so any customer-built table (NDAs, SOWs, vendor risk, renewals) exposes the same REST and SOAP CRUD and syncs like the standard CLM tables. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | Custom tables is specific to Agiloft and Streams to Snowflake — each maps to any object or custom field on the other side. | |
| Contracts The core table holding contract records with value, key dates, status, type, and linked parties; created and updated two-way so contract data moves between Agiloft and a database, ERP, or CRM. | Stages File staging areas used for bulk loads into synced tables. | Contracts is specific to Agiloft and Stages to Snowflake — each maps to any object or custom field on the other side. | |
| Companies Records for every organization - counterparties, vendors, customers - linked to contracts and people; read and written to keep account master data aligned with a CRM or ERP. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Companies is specific to Agiloft and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side. | |
| People Parent table for individuals, split into Employees (internal users) and Contacts (external company contacts); synced to map signers, approvers, and account owners to CRM or HR records. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | People is specific to Agiloft and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side. |
How changes propagate between Agiloft 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.
Agiloft Snowflake Sub-second propagation
DetectionAgiloft notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL.
DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.
Snowflake Agiloft 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 Agiloft through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Agiloft: Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
- Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Agiloft ⇄ Snowflake
Connect Agiloft and Snowflake for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Agiloft–Snowflake connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Agiloft 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 Agiloft or Snowflake record.
Observability
Monitoring
Track your Agiloft ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Agiloft and Snowflake.
How the Agiloft and Snowflake connectors work
Agiloft
- Integration surface
- REST API (/ewws/rest/{kb}) and SOAP/EWS v2 web services (EWWSv2Service WSDL), plus a native Webhooks subscription API
- Authentication
- OAuth 2.0 via OAuth2 Client Setup - Authorization Code with PKCE for user-delegated apps and Client Credentials for machine-to-machine; also JWT tokens or Basic Auth with a session token from POST /ewws/rest/{kb}/login
- Change detection
- Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log.
- Capabilities
- read · write · webhooks
- Rate limits
- Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
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 Agiloft 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 Agiloft 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.
Agiloft
connected
Snowflake
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Agiloft 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 · Agiloft ⇄ 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.
Agiloft SnowflakeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Agiloft and Snowflake integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Agiloft and Snowflake: authenticate both systems, choose the objects to sync (such as Agiloft's Tasks and Clause Library), 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 Agiloft and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Agiloft–Snowflake integration in-house.
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Yes — Stacksync ships production-grade connectors for both Agiloft 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 Agiloft: Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has 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.
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On the Agiloft side: People, Attachments, Approvals, Tasks, plus custom fields where Agiloft exposes them. On the Snowflake side: VARIANT Columns, Virtual Warehouses, Databases, Schemas. 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
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