Real-time
Two-way sync
Changes in Gatekeeper or MySQL instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Gatekeeper to MySQL integration — real-time, two-way sync
Keep Gatekeeper and MySQL 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 Gatekeeper and MySQL
Mirror Gatekeeper's data into MySQL 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 MySQL.
Stacksync mirrors Workflow form data, Custom data groups, Users, Categories from Gatekeeper into Primary and Unique Keys, JSON Columns, Stored Procedures, Triggers in MySQL 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 Write contract or vendor records into Gatekeeper when a deal closes in the CRM to kick off downstream procurement and legal workflows.
- 02 Two-way sync Contracts between Gatekeeper and an ERP or warehouse so value, renewal dates, owner, and status stay current without manual re-keying.
- 03 Replicate ERP master data (customers, items, pricing) into the MySQL databases behind storefronts and portals
- 04 Keep e-commerce orders in MySQL flowing into finance and fulfillment systems without export scripts
Common sync patterns
React to changes as they happen
Updates in Gatekeeper arrive as row changes in MySQL, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Gatekeeper with a query
Records from Gatekeeper are ordinary rows in MySQL; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Gatekeeper and MySQL
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 | MySQL objects | How this pairing syncs | |
|---|---|---|---|
| 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. | JSON Columns Validated semi-structured payloads for nested SaaS data. | Workflow form data is specific to Gatekeeper and JSON Columns to MySQL — 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. | Stored Procedures Server-side logic that can post-process synced rows. | Custom data groups is specific to Gatekeeper and Stored Procedures to MySQL — 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. | Triggers An alternative change-capture mechanism when binlog access is unavailable. | Users is specific to Gatekeeper and Triggers to MySQL — 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. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Categories is specific to Gatekeeper and Databases (Schemas) to MySQL — each maps to any object or custom field on the other side. | |
| Contracts The core contract records holding value, key dates, renewal terms, status, type, owner, and the linked vendor; created, read, updated, and deleted so contract data moves two-way between Gatekeeper and a database, ERP, or CRM. | Tables The primary sync target; rows map to records in connected systems. | Contracts is specific to Gatekeeper and Tables to MySQL — each maps to any object or custom field on the other side. | |
| 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. | Views Read-side projections used as outbound sync sources. | Vendors (Suppliers) is specific to Gatekeeper and Views to MySQL — each maps to any object or custom field on the other side. |
How changes propagate between Gatekeeper and MySQL
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 MySQL 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 MySQL as a row-level write, with types converted between the two schemas.
MySQL Gatekeeper Sub-second propagation
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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.
- MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Gatekeeper ⇄ MySQL
Connect Gatekeeper and MySQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gatekeeper–MySQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Gatekeeper or MySQL 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 MySQL record.
Observability
Monitoring
Track your Gatekeeper ⇄ MySQL 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 MySQL.
How the Gatekeeper and MySQL 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.
MySQL
- Integration surface
- SQL wire protocol (MySQL client/server protocol)
- Authentication
- Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
How it works
How to connect Gatekeeper to MySQL — 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 Gatekeeper and MySQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Gatekeeper
connected
MySQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Gatekeeper and MySQL 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 · Gatekeeper ⇄ MySQLCustomers 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.
Gatekeeper MySQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Gatekeeper and MySQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Gatekeeper and MySQL: authenticate both systems, choose the objects to sync (such as Gatekeeper's Workflow form data and Custom data groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Gatekeeper: Write access is per API key per endpoint: when you create a key you choose read-only or write for each object, so the API is write-capable and can create and update records rather than only export them. MySQL: Primary keys must be auto-generated (e.g. AUTO_INCREMENT). Stacksync's field mapping accounts for these differences between Gatekeeper and MySQL 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 Gatekeeper and MySQL 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 Gatekeeper and MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gatekeeper–MySQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Gatekeeper and MySQL. 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 Gatekeeper: 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. On MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). 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 447 integrations available for Gatekeeper and MySQL.
Popular · 4 of 447
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