Real-time
Two-way sync
Changes in Jdbc or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Security and identity
Jdbc to Onelogin integration — real-time, two-way sync
Keep Jdbc and Onelogin in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Jdbc and Onelogin
Close the gap between your application data and your directory: Jdbc and Onelogin share users, groups, and access in real time, in both directions.
Onelogin 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. Jdbc 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 Columns, Primary keys & indexes, Schemas & catalogs, Stored procedures & functions in Jdbc with Mappings (mapping rules), Events, Authentication factors (MFA), Custom user fields in Onelogin 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.
Common use cases
- 01 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
- 02 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.
- 03 Two-way sync Users between OneLogin and an HRIS or Postgres so new hires, attribute changes, and terminations provision and deprovision SSO accounts automatically.
- 04 Read the OneLogin Events audit log into a warehouse or SIEM for login analytics, access reviews, and SOC 2 audit evidence.
Common sync patterns
Deprovision the moment the record changes
When someone is marked inactive or removed in Jdbc, the matching account in Onelogin is disabled within seconds, closing the window between a departure and a login that still works.
Read users and groups as ordinary tables
Users, groups, and their memberships from Onelogin land in Jdbc as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
Keep group and role membership aligned
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
What you can sync between Jdbc and Onelogin
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.
| Jdbc objects | Onelogin objects | How this pairing syncs | |
|---|---|---|---|
| Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. | Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. | Schemas & catalogs is specific to Jdbc and Mappings (mapping rules) to Onelogin — each maps to any object or custom field on the other side. | |
| Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. | Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. | Stored procedures & functions is specific to Jdbc and Events to Onelogin — each maps to any object or custom field on the other side. | |
| Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. | Sequences is specific to Jdbc and Authentication factors (MFA) to Onelogin — each maps to any object or custom field on the other side. | |
| Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. | Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. | Tables is specific to Jdbc and Custom user fields to Onelogin — each maps to any object or custom field on the other side. | |
| Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Users User accounts (email, username, custom attributes, status, roles); full CRUD via the v2 Users API - create, update, delete, set password, lock/unlock, and add or remove role assignments. | Views is specific to Jdbc and Users to Onelogin — each maps to any object or custom field on the other side. | |
| Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. | Columns is specific to Jdbc and Roles to Onelogin — each maps to any object or custom field on the other side. |
How changes propagate between Jdbc and Onelogin
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.
Jdbc Onelogin Interval-based propagation
DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Onelogin through its API, with automatic retries and rate-limit backoff.
Onelogin Jdbc Sub-second propagation
DetectionOnelogin notifies Stacksync of record changes through webhook events. Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time.
DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
- Onelogin: Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
What ships with Jdbc ⇄ Onelogin
Connect Jdbc and Onelogin for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jdbc–Onelogin connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Jdbc or Onelogin data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Jdbc or Onelogin record.
Observability
Monitoring
Track your Jdbc ⇄ Onelogin sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Jdbc and Onelogin.
How the Jdbc and Onelogin connectors work
Jdbc
- Integration surface
- JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
- Authentication
- A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
- Change detection
- No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
- Capabilities
- read · write
- Rate limits
- No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
Onelogin
- Integration surface
- OneLogin API (REST, v1 and v2 resource endpoints on <subdomain>.onelogin.com) plus the Event Webhook (Event Broadcaster) for event delivery
- Authentication
- OAuth 2.0 client credentials - an admin generates an API credential pair (client_id + client_secret) in the OneLogin portal and exchanges it at POST /auth/oauth2/v2/token for a bearer access token sent on every call; each credential carries a scope (Manage all, Manage users, Read users, etc.) that governs read vs write.
- Change detection
- Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time; the Events API also supports polling with since/until time filters and pagination for historical backfill.
- Capabilities
- read · write · webhooks
- Rate limits
- Account-level limit of 5,000 API calls per hour shared across all access tokens; responses carry X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset, over-limit calls return HTTP 429, and the count resets each hour. Paid plans can request an increase.
How it works
How to connect Jdbc to Onelogin — three steps, no code
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.
- 01
Connect your apps
Authenticate Jdbc and Onelogin with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Jdbc
connected
Onelogin
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Jdbc and Onelogin 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.
objects · Jdbc ⇄ OneloginCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Jdbc OneloginCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Jdbc and Onelogin integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Jdbc and Onelogin: authenticate both systems, choose the objects to sync (such as Jdbc's Schemas & catalogs and Stored procedures & functions), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Jdbc side: Columns, Primary keys & indexes, Schemas & catalogs, Stored procedures & functions, plus custom fields where Jdbc exposes them. On the Onelogin side: Mappings (mapping rules), Events, Authentication factors (MFA), Custom user fields. Stacksync auto-detects both schemas and converts types between the two systems.
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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 Jdbc and Onelogin: Deprovision the moment the record changes; Read users and groups as ordinary tables; Keep group and role membership aligned. When someone is marked inactive or removed in Jdbc, the matching account in Onelogin is disabled within seconds, closing the window between a departure and a login that still works.
-
Jdbc: JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db. Authentication: A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver. Onelogin: OneLogin API (REST, v1 and v2 resource endpoints on <subdomain>.onelogin.com) plus the Event Webhook (Event Broadcaster) for event delivery. Authentication: OAuth 2.0 client credentials - an admin generates an API credential pair (client_id + client_secret) in the OneLogin portal and exchanges it at POST /auth/oauth2/v2/token for a bearer access token sent on every call; each credential carries a scope (Manage all, Manage users, Read users, etc.) that governs read vs write. Stacksync manages authentication, retries, and rate limits on both sides.
-
Jdbc: Authentication is a database user's username and password in the JDBC connection, usually over TLS/SSL; some drivers add Kerberos or cloud IAM-token auth, but that is driver-specific. Onelogin: The Event Webhook (Event Broadcaster) delivers batches of events to a registered URL for near-real-time triggers, while the Events API filters by since/until for historical pulls; there is no database-level CDC. Stacksync's field mapping accounts for these differences between Jdbc and Onelogin without custom code.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 429 integrations available for Jdbc and Onelogin.
Popular · 8 of 429
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Jdbc ⇄ Azure Active Directory -
Jdbc ⇄ Okta -
Jdbc ⇄ Auth0 -
Jdbc ⇄ Jumpcloud -
Onelogin ⇄ Amazon Lightsail -
Onelogin ⇄ Apache Cassandra -
Onelogin ⇄ Azure Cosmos DB -
Onelogin ⇄ Azure SQL Database
No integrations match .
