Two-way sync
Changes in Jumpcloud or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Jumpcloud and Redis Enterprise 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. Redis Enterprise 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 Search indexes, Keys (Strings), Hashes, JSON documents in Redis Enterprise with User Groups, Systems (devices), System Groups, Applications (SSO) 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.
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.
When a person is added to the employee, member, or customer table in Redis Enterprise, Stacksync creates the matching user in Jumpcloud with the right attributes, so access starts from live data instead of a manual ticket.
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 | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Systems (devices) is specific to Jumpcloud and Pub/Sub channels to Redis Enterprise — 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. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | System Groups is specific to Jumpcloud and Search indexes to Redis Enterprise — 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. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Applications (SSO) is specific to Jumpcloud and Keys (Strings) to Redis Enterprise — 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. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Policies is specific to Jumpcloud and Hashes to Redis Enterprise — 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. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Commands is specific to Jumpcloud and JSON documents to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Directory Insights events Audit stream of logins and admin actions across SSO, LDAP, RADIUS, systems, and MDM; read-only, queried by POST and used as the change feed and SIEM source. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Directory Insights events is specific to Jumpcloud and Sets to Redis Enterprise — 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 Redis Enterprise as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
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–Redis Enterprise connection.
Changes in Jumpcloud or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jumpcloud or Redis Enterprise 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 Redis Enterprise record.
Track your Jumpcloud ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jumpcloud and Redis Enterprise.
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 Redis Enterprise 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 Redis Enterprise 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 Redis Enterprise: authenticate both systems, choose the objects to sync (such as Jumpcloud's Systems (devices) and System Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
Redis Enterprise: Data structures are typed server-side (hashes, sets, sorted sets, streams), so sync mappings target a structure and key convention rather than tables and columns. Jumpcloud: JumpCloud rate-limits requests and returns HTTP 429 when they arrive too fast, with no published numeric ceiling; webhook deliveries are retried three times with exponential backoff on 5xx, 408, or 429 responses. Stacksync's field mapping accounts for these differences between Jumpcloud and Redis Enterprise 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 Redis Enterprise records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jumpcloud and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jumpcloud–Redis Enterprise integration in-house.
Yes — Stacksync ships production-grade connectors for both Jumpcloud and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 432 integrations available for Jumpcloud and Redis Enterprise.