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Business productivity ⇄ Data warehouse

Agiloft to Google Cloud Platform integration — real-time, two-way sync

Keep Agiloft and Google Cloud Platform 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 Google Cloud Platform

Get the data locked inside Agiloft into Google Cloud Platform 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 Attachments, Approvals, Tasks, Clause Library from Agiloft into tables in Google Cloud Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Google Cloud Platform 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 Publish change events to Pub/Sub so downstream services react to record updates as they happen.

Common sync patterns

Analytics on Agiloft's data

Records and events from Agiloft land in Google Cloud Platform 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 Google Cloud Platform sync back onto records in Agiloft, putting analysis where the work happens.

What you can sync between Agiloft and Google Cloud Platform

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 Google Cloud Platform objects How this pairing syncs
Approvals Per-record approval instances generated from Approval Templates and Workflows; read to report approval status and cycle time, or written to trigger and record decisions. Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Approvals is specific to Agiloft and Cloud Storage objects to Google Cloud Platform — each maps to any object or custom field on the other side.
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. Pub/Sub topics Event streams used to move change events between systems in near real time. Tasks is specific to Agiloft and Pub/Sub topics to Google Cloud Platform — each maps to any object or custom field on the other side.
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. Firestore documents Document data read and written through the Firestore API for app-facing syncs. Clause Library is specific to Agiloft and Firestore documents to Google Cloud Platform — 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. Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Custom tables is specific to Agiloft and Spanner tables to Google Cloud Platform — 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. BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Contracts is specific to Agiloft and BigQuery datasets to Google Cloud Platform — 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. BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Companies is specific to Agiloft and BigQuery tables to Google Cloud Platform — each maps to any object or custom field on the other side.

How changes propagate between Agiloft and Google Cloud Platform

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

Google Cloud Platform Agiloft Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

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.
  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
What ships with Agiloft ⇄ Google Cloud Platform

Connect Agiloft and Google Cloud Platform for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Agiloft or Google Cloud Platform 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 Google Cloud Platform record.

Observability

Monitoring

Track your Agiloft ⇄ Google Cloud Platform 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 Google Cloud Platform.

How the Agiloft and Google Cloud Platform 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.

Google Cloud Platform

Integration surface
Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols
Authentication
IAM service accounts with OAuth 2.0 tokens
Change detection
Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits
How it works

How to connect Agiloft to Google Cloud Platform — 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 Agiloft and Google Cloud Platform 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
    Agiloft connected
    Google Cloud Platform connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Agiloft and Google Cloud Platform 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 · Agiloft ⇄ Google Cloud Platform
    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
    Agiloft Google Cloud Platform
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Agiloft and Google Cloud Platform 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.

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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 440 integrations available for Agiloft and Google Cloud Platform.

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