Two-way sync
Changes in IBM Informix or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix and Jumpcloud 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. IBM Informix 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 Rows, Views, TimeSeries objects, Stored procedures in IBM Informix with Commands, Directory Insights events, System Users (Users), User Groups 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.
When a person is added to the employee, member, or customer table in IBM Informix, Stacksync creates the matching user in Jumpcloud with the right attributes, so access starts from live data instead of a manual ticket.
When someone is marked inactive or removed in IBM Informix, the matching account in Jumpcloud is disabled within seconds, closing the window between a departure and a login that still works.
Users, groups, and their memberships from Jumpcloud land in IBM Informix as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
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.
| IBM Informix objects | Jumpcloud objects | How this pairing syncs | |
|---|---|---|---|
| Rows The unit of read and write, keyed by primary key. | 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. | Rows is specific to IBM Informix and User Groups to Jumpcloud — each maps to any object or custom field on the other side. | |
| Views Read-only projections used to shape outbound data. | 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. | Views is specific to IBM Informix and Systems (devices) to Jumpcloud — each maps to any object or custom field on the other side. | |
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | System Groups Device groups used to scope policies, commands, and access; full CRUD via v2 /systemgroups, with systems bound and unbound through association endpoints. | TimeSeries objects is specific to IBM Informix and System Groups to Jumpcloud — each maps to any object or custom field on the other side. | |
| Stored procedures Server-side logic sometimes invoked as part of write paths. | 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. | Stored procedures is specific to IBM Informix and Applications (SSO) to Jumpcloud — each maps to any object or custom field on the other side. | |
| Logical logs The transaction log that Informix's CDC interface reads committed changes from. | 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. | Logical logs is specific to IBM Informix and Policies to Jumpcloud — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope a sync connection. | Commands Scripts and commands run on managed systems; full CRUD via v1 /commands, then triggered on target systems and groups for automation and remediation. | Databases is specific to IBM Informix and Commands to Jumpcloud — 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.
DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
DeliveryEach detected change is written to Jumpcloud through its API, with automatic retries and rate-limit backoff.
DetectionJumpcloud notifies Stacksync of record changes through webhook events. No database-style change log.
DeliveryEach detected change is applied to IBM Informix as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Informix–Jumpcloud connection.
Changes in IBM Informix or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix or Jumpcloud data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single IBM Informix or Jumpcloud record.
Track your IBM Informix ⇄ Jumpcloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix and Jumpcloud.
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 IBM Informix and Jumpcloud 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 IBM Informix and Jumpcloud 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 IBM Informix and Jumpcloud: authenticate both systems, choose the objects to sync (such as IBM Informix's Rows and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
IBM Informix: Its native TimeSeries data type stores time-stamped rows compactly and is a common reason Informix runs in IoT and metering workloads. Jumpcloud: There is no database-style change log; change detection uses the Directory Insights API (POST queries, including the association_change event for user-to-group and policy-to-device changes) and Webhook Channels tied to Insights Rules that POST JSON to a registered endpoint. Stacksync's field mapping accounts for these differences between IBM Informix and Jumpcloud 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 IBM Informix and Jumpcloud records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed IBM Informix and Jumpcloud connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Informix–Jumpcloud integration in-house.
Yes — Stacksync ships production-grade connectors for both IBM Informix and Jumpcloud. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on IBM Informix: Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback. 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. 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 454 integrations available for IBM Informix and Jumpcloud.