Two-way sync
Changes in Apache Pinot or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot 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 record of who exists and what they can reach; Apache Pinot is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Jumpcloud governs are what security, compliance, and analytics teams want to query in Apache Pinot. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs Directory Insights events, System Users (Users), User Groups, Systems (devices) from Jumpcloud into tables in Apache Pinot in real time, and the connection works in both directions: values computed in Apache Pinot, such as risk scores or access-review decisions, can be written back to attributes in Jumpcloud where the identity team acts on them. Schema changes are handled, API limits are managed, and the sync is something you configure rather than a pipeline you keep alive.
A continuously synced copy in Apache Pinot gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.
Risk scores, anomaly flags, or access-review outcomes computed in Apache Pinot write back to attributes on the matching user in Jumpcloud, where the identity team can act on them.
Users, groups, and roles from Jumpcloud arrive in Apache Pinot as queryable tables, current within seconds instead of a nightly directory export.
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.
| Apache Pinot objects | Jumpcloud objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | 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. | Schemas is specific to Apache Pinot and System Users (Users) to Jumpcloud — each maps to any object or custom field on the other side. | |
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | 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. | Segments is specific to Apache Pinot and User Groups to Jumpcloud — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | 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. | Real-time Tables is specific to Apache Pinot and Systems (devices) to Jumpcloud — each maps to any object or custom field on the other side. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | System Groups Device groups used to scope policies, commands, and access; full CRUD via v2 /systemgroups, with systems bound and unbound through association endpoints. | Offline Tables is specific to Apache Pinot and System Groups to Jumpcloud — each maps to any object or custom field on the other side. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | 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. | Indexes is specific to Apache Pinot and Applications (SSO) to Jumpcloud — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | 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. | Tenants is specific to Apache Pinot and Policies 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.
DetectionStacksync polls Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
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 Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Jumpcloud connection.
Changes in Apache Pinot or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot 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 Apache Pinot or Jumpcloud record.
Track your Apache Pinot ⇄ Jumpcloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot 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 Apache Pinot 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 Apache Pinot 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 Apache Pinot and Jumpcloud: authenticate both systems, choose the objects to sync (such as Apache Pinot's Schemas and Segments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Pinot and Jumpcloud connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Pinot–Jumpcloud integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Pinot and Jumpcloud. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. 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.
On the Apache Pinot side: Tenants, Tables, Schemas, Segments, plus custom fields where Apache Pinot exposes them. On the Jumpcloud side: Directory Insights events, System Users (Users), User Groups, Systems (devices). Stacksync auto-detects both schemas and converts types between the two systems.
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.
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 435 integrations available for Apache Pinot and Jumpcloud.