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Business productivity ⇄ Data warehouse

Agiloft to BigQuery integration — real-time, two-way sync

Keep Agiloft and BigQuery 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 Agiloft and BigQuery

Get the data locked inside Agiloft into BigQuery 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 Contracts, Companies, People, Attachments from Agiloft 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 Agiloft where the tool can use them.

Common use cases

  • 01 Two-way sync Contracts between Agiloft and an ERP or warehouse so value, renewal dates, and status stay current without manual re-keying.
  • 02 Push generated documents and executed PDFs into Agiloft Attachments from a document system, or pull signed contracts out for archival.
  • 03 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 04 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools

Common sync patterns

Where Agiloft accepts updates: operational write-back

Segments, scores, or reference values computed in BigQuery sync back onto records in Agiloft, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in BigQuery preserves a queryable record even as data ages out of Agiloft or gets changed inside it.

Analytics on Agiloft's data

Records and events from Agiloft land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between Agiloft and BigQuery

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 BigQuery objects How this pairing syncs
Attachments File records holding the executed contract PDFs and supporting documents linked to a contract; read to pull signed files out, or written to push generated documents in. Projects Connection scope: the service account grants access per project. Attachments is specific to Agiloft and Projects to BigQuery — each maps to any object or custom field on the other side.
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. Tables The syncable unit: only tables can be synced per the Stacksync docs. Approvals is specific to Agiloft and Tables to BigQuery — 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. Partitioned tables Synced like regular tables; partition columns map to target fields. Tasks is specific to Agiloft and Partitioned tables to BigQuery — 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. Clustered tables Supported; clustering is transparent to the sync. Clause Library is specific to Agiloft and Clustered tables to BigQuery — 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. Datasets Organizational container — you pick which dataset’s tables to sync. Custom tables is specific to Agiloft and Datasets to BigQuery — each maps to any object or custom field on the other side.

How changes propagate between Agiloft and BigQuery

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 BigQuery 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 BigQuery as a row-level write, with types converted between the two schemas.

BigQuery Agiloft 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 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.
  • 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.
What ships with Agiloft ⇄ BigQuery

Connect Agiloft and BigQuery for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Agiloft or BigQuery 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 BigQuery record.

Observability

Monitoring

Track your Agiloft ⇄ BigQuery 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 BigQuery.

How the Agiloft and BigQuery 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.

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
BigQuery setup guide
How it works

How to connect Agiloft to BigQuery — 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 BigQuery 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
    BigQuery connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Agiloft and BigQuery 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 ⇄ BigQuery
    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 BigQuery
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Agiloft and BigQuery 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 443 integrations available for Agiloft and BigQuery.

Popular · 7 of 443
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