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Business productivity ⇄ Database

Gatekeeper to SQL Server integration — real-time, two-way sync

Keep Gatekeeper and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Gatekeeper and SQL Server

Mirror Gatekeeper's data into SQL Server so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Gatekeeper through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in SQL Server.

Stacksync mirrors Contracts, Vendors (Suppliers), Files, Workflow form data from Gatekeeper into Databases, Schemas, Tables, Views in SQL Server and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Gatekeeper, so the tool and the database never disagree.

Common use cases

  • 01 Push generated documents into Gatekeeper Files, or pull executed contract PDFs and compliance evidence out into a document store or archive.
  • 02 Stream workflow-form data - intake requests, vendor onboarding, risk assessments - into an operational database for cycle-time and compliance reporting.
  • 03 Feed a cloud warehouse from SQL Server continuously using native CDC instead of SSIS batch jobs
  • 04 Consolidate branch or plant databases into a single operational SQL Server hub

Common sync patterns

Read Gatekeeper with a query

Records from Gatekeeper are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.

Automate Gatekeeper from your codebase

Write to the synced tables in SQL Server and Stacksync propagates the change into Gatekeeper, replacing custom integration code.

React to changes as they happen

Updates in Gatekeeper arrive as row changes in SQL Server, so triggers, jobs, and services can respond in near real time.

What you can sync between Gatekeeper and SQL Server

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.

Gatekeeper objects SQL Server objects How this pairing syncs
Vendors (Suppliers) Company records for counterparties and suppliers with onboarding status, compliance, risk, contacts, and spend; read and written to keep vendor master data aligned with a CRM or ERP. Stored Procedures T-SQL logic that can validate or post-process synced rows. Vendors (Suppliers) is specific to Gatekeeper and Stored Procedures to SQL Server — each maps to any object or custom field on the other side.
Files Document files attached to contracts and vendors - executed PDFs, certificates, and compliance evidence; read to pull signed files and evidence out, or written to push generated documents in. Databases Instance-level databases that scope a sync's reads and writes. Files is specific to Gatekeeper and Databases to SQL Server — each maps to any object or custom field on the other side.
Workflow form data The structured data captured on Gatekeeper workflow forms (intake requests, vendor onboarding, risk assessments); exposed by the API since 2025 so form results sync into an operational database, not only contract and vendor records. Schemas Namespaces (dbo and custom) used to organize synced tables. Workflow form data is specific to Gatekeeper and Schemas to SQL Server — each maps to any object or custom field on the other side.
Custom data groups Customer-configured custom fields and data groups; because the JSON:API and its docs are dynamic, any custom data added in Configuration exposes the same read/write endpoints as the standard objects and syncs the same way. Tables The primary sync target; rows map to records in connected systems. Custom data groups is specific to Gatekeeper and Tables to SQL Server — each maps to any object or custom field on the other side.
Users Gatekeeper user and team records governed by role-based access; read to map contract and vendor owners, approvers, and internal contacts to CRM or HR records. Views Read-side projections used as outbound sync sources. Users is specific to Gatekeeper and Views to SQL Server — each maps to any object or custom field on the other side.
Categories The classification taxonomy applied to contracts and vendors (type, department, business unit); synced so categorization stays consistent between Gatekeeper and downstream reporting or ERP dimensions. Columns Field-level mapping targets with T-SQL types. Categories is specific to Gatekeeper and Columns to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Gatekeeper and SQL Server

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.

Gatekeeper SQL Server Interval-based propagation

DetectionStacksync polls Gatekeeper for changes on an incremental schedule, reading only records changed since the previous pass. No native developer webhook subscription API and no database change-data-capture log.

DeliveryEach detected change is applied to SQL Server as a row-level write, with types converted between the two schemas.

SQL Server Gatekeeper Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

DeliveryEach detected change is written to Gatekeeper through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Gatekeeper: Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.
  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Gatekeeper ⇄ SQL Server

Connect Gatekeeper and SQL Server for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gatekeeper–SQL Server connection.

Real-time

Two-way sync

Changes in Gatekeeper or SQL Server instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gatekeeper or SQL Server 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 Gatekeeper or SQL Server record.

Observability

Monitoring

Track your Gatekeeper ⇄ SQL Server sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Gatekeeper and SQL Server.

How the Gatekeeper and SQL Server connectors work

Gatekeeper

Integration surface
RESTful API following the JSON:API specification, tenant-scoped with interactive docs at {tenant}.gatekeeperhq.com/api_docs and a published Postman collection. The API is dynamic: it exposes the standard Contract and Vendor objects plus any custom data groups and workflow-form data configured in the tenant.
Authentication
API keys created and managed under Configuration > API Keys and passed as a token; each key carries granular per-endpoint permissions set to read-only or write, so access is scoped per object. Multiple keys can be issued and revoked independently.
Change detection
No native developer webhook subscription API and no database change-data-capture log; detect changes by polling the JSON:API list endpoints filtered and sorted on updated-at timestamps. Gatekeeper's own event automation - Workflow Engine phase transitions and Interconnect process orchestration - runs inside the platform rather than as a subscribable webhook stream.
Capabilities
read · write
Rate limits
Gatekeeper publishes no fixed public per-minute request quota; throughput is governed per key by its endpoint permissions, and every call is recorded (parameters, payload, response) under API Logs for monitoring. Pace bulk writes and use JSON:API pagination on list endpoints.

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

How to connect Gatekeeper to SQL Server — 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 Gatekeeper and SQL Server 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
    Gatekeeper connected
    SQL Server connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gatekeeper and SQL Server 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 · Gatekeeper ⇄ SQL Server
    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
    Gatekeeper SQL Server
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Gatekeeper and SQL Server 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.

Learn more about security
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:

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 Gatekeeper and SQL Server.

Popular · 5 of 440
All Gatekeeper integrations All SQL Server integrations Browse all integrations
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