Two-way sync
Changes in Jumpcloud or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Jumpcloud and TimescaleDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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. TimescaleDB 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 Views, Schemas, Hypertables, Chunks in TimescaleDB with Applications (SSO), Policies, Commands, Directory Insights events 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.
Users, groups, and their memberships from Jumpcloud land in TimescaleDB as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
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.
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | User Groups is specific to Jumpcloud and Hypertables to TimescaleDB — 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Systems (devices) is specific to Jumpcloud and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | System Groups is specific to Jumpcloud and Continuous Aggregates to TimescaleDB — 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Applications (SSO) is specific to Jumpcloud and Regular PostgreSQL Tables to TimescaleDB — 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. | Views Standard SQL views used to shape or filter data for consumers. | Policies is specific to Jumpcloud and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| Commands Scripts and commands run on managed systems; full CRUD via v1 /commands, then triggered on target systems and groups for automation and remediation. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Commands is specific to Jumpcloud and Schemas to TimescaleDB — each maps to any object or custom field on the other side. |
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.
DetectionJumpcloud notifies Stacksync of record changes through webhook events. No database-style change log.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is written to Jumpcloud through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jumpcloud–TimescaleDB connection.
Changes in Jumpcloud or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jumpcloud or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jumpcloud or TimescaleDB record.
Track your Jumpcloud ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jumpcloud and TimescaleDB.
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.
Authenticate Jumpcloud and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Jumpcloud and TimescaleDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Jumpcloud and TimescaleDB: authenticate both systems, choose the objects to sync (such as Jumpcloud's User Groups and Systems (devices)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
Common patterns for Jumpcloud and TimescaleDB: 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 TimescaleDB as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
Jumpcloud: 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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Jumpcloud: The JumpCloud API is fully writable for System Users, User Groups, System Groups, Commands, and Policies, so JumpCloud acts as both a source and a target; Systems are agent-enrolled and are read, updated, or deleted rather than created via the API. Stacksync's field mapping accounts for these differences between Jumpcloud and TimescaleDB without custom code.
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 Jumpcloud and TimescaleDB records are not retained after a sync operation.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 427 integrations available for Jumpcloud and TimescaleDB.