Real-time
Two-way sync
Changes in Jumpcloud or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Security and identity ⇄ Database
Jumpcloud to Postgres Heroku integration — real-time, two-way sync
Keep Jumpcloud and Postgres Heroku 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Jumpcloud and Postgres Heroku
Close the gap between your application data and your directory: Postgres Heroku and Jumpcloud share users, groups, and access in real time, in both directions.
Jumpcloud is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. Postgres Heroku holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.
Stacksync syncs Follower Databases, Tables, Views, Materialized Views in Postgres Heroku with Systems (devices), System Groups, Applications (SSO), Policies in Jumpcloud field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.
Common use cases
- 01 Reflect billing and subscription records into the app database so product logic reads local rows
- 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 03 Read Directory Insights events into Postgres or a warehouse for access reviews, login analytics, and SOC 2 audit evidence beyond JumpCloud's retention window.
- 04 Read Systems and System Group memberships into a database for device inventory, patch reporting, and conditional-access analysis.
Common sync patterns
Read users and groups as ordinary tables
Users, groups, and their memberships from Jumpcloud land in Postgres Heroku as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
Keep group and role membership aligned
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
One profile, kept current
A name, department, email, or manager corrected in either system updates the other, so the profile the directory shows and the data the application reads stop drifting apart.
What you can sync between Jumpcloud and Postgres Heroku
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.
| Jumpcloud objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| System Users (Users) Directory user accounts (email, username, attributes, status, MFA, group and app bindings); full CRUD via the v1 /systemusers API - create, update, activate or suspend, and delete to match an HR or identity source. | Tables Standard Postgres tables; the primary two-way sync target for app data. | System Users (Users) is specific to Jumpcloud and Tables to Postgres Heroku — each maps to any object or custom field on the other side. | |
| User Groups User groups that grant app, LDAP, and RADIUS access; created, updated, and deleted via v2 /usergroups, with membership managed through the graph association endpoints. | Views Read-side projections exposed to outbound syncs. | User Groups is specific to Jumpcloud and Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Systems (devices) Enrolled macOS, Windows, and Linux machines running the JumpCloud agent; agent-enrolled, so the API reads, updates, and deletes systems for inventory and management rather than creating them. | Materialized Views Precomputed result sets synced outward on refresh. | Systems (devices) is specific to Jumpcloud and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| System Groups Device groups used to scope policies, commands, and access; full CRUD via v2 /systemgroups, with systems bound and unbound through association endpoints. | Schemas Namespaces that scope which tables a sync reads and writes. | System Groups is specific to Jumpcloud and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Applications (SSO) SAML and OIDC SSO app configs; read via v2 /applications and their user/group assignments created and removed to control who can reach each connected app. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Applications (SSO) is specific to Jumpcloud and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Policies Device configuration and MDM policies; read, created from templates, and updated via v2 /policies, then bound to systems and system groups to enforce settings across the fleet. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Policies is specific to Jumpcloud and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Jumpcloud and Postgres Heroku
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.
Jumpcloud Postgres Heroku Sub-second propagation
DetectionJumpcloud notifies Stacksync of record changes through webhook events. No database-style change log.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Jumpcloud Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Jumpcloud through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Jumpcloud: JumpCloud rate-limits API requests and returns HTTP 429 (Rate limit exceeded) when a client sends requests too quickly; its guidance is to back off and retry at a lower rate. Specific per-minute ceilings are not published, and the Directory Insights API is metered separately. Webhook deliveries are retried three times with exponential backoff on 5xx, 408, or 429 responses.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Jumpcloud ⇄ Postgres Heroku
Connect Jumpcloud and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jumpcloud–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Jumpcloud or Postgres Heroku 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 Jumpcloud or Postgres Heroku record.
Observability
Monitoring
Track your Jumpcloud ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Jumpcloud and Postgres Heroku.
How the Jumpcloud and Postgres Heroku connectors work
Jumpcloud
- Integration surface
- JumpCloud REST API - v1 (console.jumpcloud.com/api) for Systems, System Users, and Commands; v2 (/api/v2) for User Groups, System Groups, Applications, Policies, and resource associations; plus the Directory Insights API (api.jumpcloud.com/insights/directory/v1/events) and Webhook Channels for outbound events.
- Authentication
- Admin API key sent in the x-api-key header (keys are prefixed jca_, generated in the console with a 30-365 day expiry, and disabled for admins by default until enabled); an x-org-id header scopes calls to a single organization for MSP multi-tenant admins. System Context authorization (HMAC-signed) also exists for agent-run calls.
- Change detection
- No database-style change log. The Directory Insights API is queried by POST for login and admin events across SSO, LDAP, RADIUS, systems, MDM, and directory services - including the association_change event that records user-to-group and policy-to-device membership changes; Webhook Channels tied to Insights Rules POST JSON to a registered endpoint for near-real-time triggers.
- Capabilities
- read · write · webhooks
- Rate limits
- JumpCloud rate-limits API requests and returns HTTP 429 (Rate limit exceeded) when a client sends requests too quickly; its guidance is to back off and retry at a lower rate. Specific per-minute ceilings are not published, and the Directory Insights API is metered separately. Webhook deliveries are retried three times with exponential backoff on 5xx, 408, or 429 responses.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Jumpcloud to Postgres Heroku — 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 Jumpcloud and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Jumpcloud
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Jumpcloud and Postgres Heroku 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 · Jumpcloud ⇄ Postgres HerokuCustomers 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.
Jumpcloud Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Jumpcloud and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Jumpcloud and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Jumpcloud's System Users (Users) and User Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Jumpcloud and Postgres Heroku. 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 Jumpcloud: No database-style change log. The Directory Insights API is queried by POST for login and admin events across SSO, LDAP, RADIUS, systems, MDM, and directory services - including the association_change event that records user-to-group and policy-to-device membership changes; Webhook Channels tied to Insights Rules POST JSON to a registered endpoint for near-real-time triggers. On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Postgres Heroku side: Follower Databases, Tables, Views, Materialized Views, plus custom fields where Postgres Heroku exposes them. On the Jumpcloud side: Systems (devices), System Groups, Applications (SSO), Policies. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Jumpcloud and Postgres Heroku: Read users and groups as ordinary tables; Keep group and role membership aligned; One profile, kept current. Users, groups, and their memberships from Jumpcloud land in Postgres Heroku as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
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
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 446 integrations available for Jumpcloud and Postgres Heroku.
Popular · 8 of 446
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Jumpcloud ⇄ IBM AS/400 -
Jumpcloud ⇄ IBM Informix -
Jumpcloud ⇄ InfluxDB -
Jumpcloud ⇄ InterSystems IRIS -
Postgres Heroku ⇄ Auth0 -
Postgres Heroku ⇄ Active Directory - Postgres Heroku ⇄ Azure Active Directory
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Postgres Heroku ⇄ Okta
No integrations match .
