Two-way sync
Changes in Onelogin or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Onelogin and TimescaleDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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. TimescaleDB 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 Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB with Roles, Apps (app instances), Groups, Mappings (mapping rules) 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.
When a person is added to the employee, member, or customer table in TimescaleDB, Stacksync creates the matching user in Onelogin with the right attributes, so access starts from live data instead of a manual ticket.
When someone is marked inactive or removed in TimescaleDB, the matching account in Onelogin is disabled within seconds, closing the window between a departure and a login that still works.
Users, groups, and their memberships from Onelogin land in TimescaleDB 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.
| Onelogin objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Authentication factors (MFA) is specific to Onelogin and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Custom user fields is specific to Onelogin and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Users is specific to Onelogin and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Roles is specific to Onelogin and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Apps (app instances) Connected SAML/OIDC application configs on the account; create, update, delete, and assign to users and roles - the writable app catalog. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Apps (app instances) is specific to Onelogin and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Groups Account groups used for mapping and reporting; listed and read through the API, which has no create or update endpoint, so groups are read-only. | Views Standard SQL views used to shape or filter data for consumers. | Groups is specific to Onelogin and Views to TimescaleDB — 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.
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 TimescaleDB as a row-level write, with types converted between the two schemas.
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is written to Onelogin through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Onelogin–TimescaleDB connection.
Changes in Onelogin or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Onelogin or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Onelogin or TimescaleDB record.
Track your Onelogin ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Onelogin and TimescaleDB.
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 Onelogin and TimescaleDB 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 Onelogin and TimescaleDB 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 Onelogin and TimescaleDB: authenticate both systems, choose the objects to sync (such as Onelogin's Authentication factors (MFA) and Custom user fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Onelogin and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Onelogin: 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. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the TimescaleDB side: Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables, plus custom fields where TimescaleDB exposes them. On the Onelogin side: Roles, Apps (app instances), Groups, Mappings (mapping rules). 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 Onelogin and TimescaleDB: Provision accounts from the source of truth; Deprovision the moment the record changes; Read users and groups as ordinary tables. When a person is added to the employee, member, or customer table in TimescaleDB, Stacksync creates the matching user in Onelogin with the right attributes, so access starts from live data instead of a manual ticket.
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 427 integrations available for Onelogin and TimescaleDB.