Real-time
Two-way sync
Changes in Gatekeeper or InfluxDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Gatekeeper to InfluxDB integration — real-time, two-way sync
Keep Gatekeeper and InfluxDB 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 InfluxDB
Mirror Gatekeeper's data into InfluxDB 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 InfluxDB.
Stacksync mirrors Users, Categories, Contracts, Vendors (Suppliers) from Gatekeeper into Points, Tags, Fields, Retention policies in InfluxDB 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 Replicate downsampled aggregates into a data warehouse for long-term BI beyond retention windows.
- 04 Feed alert-relevant thresholds and asset metadata from business systems into InfluxDB tags for richer queries.
Common sync patterns
React to changes as they happen
Updates in Gatekeeper arrive as row changes in InfluxDB, 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 InfluxDB; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between Gatekeeper and InfluxDB
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 | InfluxDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Fields The unindexed numeric or string values carried by each point. | Files is specific to Gatekeeper and Fields to InfluxDB — 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. | Retention policies Automatic expiry rules that determine how long synced history remains queryable. | Workflow form data is specific to Gatekeeper and Retention policies to InfluxDB — 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. | Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | Custom data groups is specific to Gatekeeper and Organizations to InfluxDB — 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. | Buckets / databases Named containers with retention settings that scope reads and writes. | Users is specific to Gatekeeper and Buckets / databases to InfluxDB — 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. | Measurements The table-like grouping for points, typically mapped to a synced dataset. | Categories is specific to Gatekeeper and Measurements to InfluxDB — 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. | Points Individual time-stamped records, the unit of write via line protocol. | Contracts is specific to Gatekeeper and Points to InfluxDB — each maps to any object or custom field on the other side. |
How changes propagate between Gatekeeper and InfluxDB
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 InfluxDB 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 InfluxDB as a row-level write, with types converted between the two schemas.
InfluxDB Gatekeeper Interval-based propagation
DetectionStacksync polls InfluxDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling with time-range queries.
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.
- InfluxDB: Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
What ships with Gatekeeper ⇄ InfluxDB
Connect Gatekeeper and InfluxDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gatekeeper–InfluxDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Gatekeeper or InfluxDB 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 InfluxDB record.
Observability
Monitoring
Track your Gatekeeper ⇄ InfluxDB 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 InfluxDB.
How the Gatekeeper and InfluxDB 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.
InfluxDB
- Integration surface
- REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
- Authentication
- API token
- Change detection
- Polling with time-range queries; data is timestamped, so incremental reads use time cursors
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
How it works
How to connect Gatekeeper to InfluxDB — 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 InfluxDB 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
InfluxDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Gatekeeper and InfluxDB 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 ⇄ InfluxDBCustomers 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 InfluxDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Gatekeeper and InfluxDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Gatekeeper and InfluxDB: authenticate both systems, choose the objects to sync (such as Gatekeeper's Files and Workflow form data), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Gatekeeper: 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. InfluxDB: REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version. Authentication: API token. Stacksync manages authentication, retries, and rate limits on both sides.
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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. InfluxDB: Every record is timestamped by design, which makes incremental extraction a natural time-range query rather than a CDC problem. Stacksync's field mapping accounts for these differences between Gatekeeper and InfluxDB 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 InfluxDB 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 InfluxDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gatekeeper–InfluxDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Gatekeeper and InfluxDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 354 integrations available for Gatekeeper and InfluxDB.
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