Two-way sync
Changes in Azure Synapse Analytics or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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; Azure Synapse Analytics 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 Azure Synapse Analytics. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs Systems (devices), System Groups, Applications (SSO), Policies from Jumpcloud into tables in Azure Synapse Analytics in real time, and the connection works in both directions: values computed in Azure Synapse Analytics, 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.
Sign-in and access events from Jumpcloud land in Azure Synapse Analytics, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
Join Jumpcloud's users and group memberships with HR, product, and usage data already in Azure Synapse Analytics to surface who holds access they no longer need.
A continuously synced copy in Azure Synapse Analytics gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.
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.
| Azure Synapse Analytics objects | Jumpcloud objects | How this pairing syncs | |
|---|---|---|---|
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | 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. | Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Applications (SSO) to Jumpcloud — each maps to any object or custom field on the other side. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | 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. | External tables is specific to Azure Synapse Analytics and Policies to Jumpcloud — each maps to any object or custom field on the other side. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Commands Scripts and commands run on managed systems; full CRUD via v1 /commands, then triggered on target systems and groups for automation and remediation. | Views is specific to Azure Synapse Analytics and Commands to Jumpcloud — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | 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. | Schemas is specific to Azure Synapse Analytics and Directory Insights events to Jumpcloud — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | 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. | Materialized views is specific to Azure Synapse Analytics and System Users (Users) to Jumpcloud — each maps to any object or custom field on the other side. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | 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. | SQL pools is specific to Azure Synapse Analytics and User Groups 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 Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
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 Azure Synapse Analytics as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Jumpcloud connection.
Changes in Azure Synapse Analytics or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics 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 Azure Synapse Analytics or Jumpcloud record.
Track your Azure Synapse Analytics ⇄ Jumpcloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics and Jumpcloud: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Tables (dedicated SQL pool) and External tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Azure Synapse Analytics and Jumpcloud. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. 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 Azure Synapse Analytics side: SQL pools, Tables (dedicated SQL pool), External tables, Views, plus custom fields where Azure Synapse Analytics 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.
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 Azure Synapse Analytics and Jumpcloud: Access and sign-in analytics; Access governance on joined data; Queryable history for audit and compliance. Sign-in and access events from Jumpcloud land in Azure Synapse Analytics, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
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 539 integrations available for Azure Synapse Analytics and Jumpcloud.