Two-way sync
Changes in Amazon Redshift or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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.
Onelogin is the record of who exists and what they can reach; Amazon Redshift is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Onelogin governs are what security, compliance, and analytics teams want to query in Amazon Redshift. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs Custom user fields, Users, Roles, Apps (app instances) from Onelogin into tables in Amazon Redshift in real time, and the connection works in both directions: values computed in Amazon Redshift, such as risk scores or access-review decisions, can be written back to attributes in Onelogin 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 Onelogin land in Amazon Redshift, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
Join Onelogin's users and group memberships with HR, product, and usage data already in Amazon Redshift to surface who holds access they no longer need.
A continuously synced copy in Amazon Redshift 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.
| Amazon Redshift objects | Onelogin objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables and control grants. | Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. | Schemas is specific to Amazon Redshift and Mappings (mapping rules) to Onelogin — each maps to any object or custom field on the other side. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. | Tables is specific to Amazon Redshift and Events to Onelogin — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. | Views is specific to Amazon Redshift and Authentication factors (MFA) to Onelogin — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. | Materialized Views is specific to Amazon Redshift and Custom user fields to Onelogin — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | 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. | External Tables (Spectrum) is specific to Amazon Redshift and Users to Onelogin — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. | Stored Procedures is specific to Amazon Redshift and Roles to Onelogin — 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 Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
DeliveryEach detected change is written to Onelogin through its API, with automatic retries and rate-limit backoff.
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 Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Onelogin connection.
Changes in Amazon Redshift or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Onelogin data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Redshift or Onelogin record.
Track your Amazon Redshift ⇄ Onelogin sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Onelogin.
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 Amazon Redshift 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.
Pick the Amazon Redshift 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.
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 Amazon Redshift and Onelogin: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Amazon Redshift side: Schemas, Tables, Views, Materialized Views, plus custom fields where Amazon Redshift exposes them. On the Onelogin side: Custom user fields, Users, Roles, Apps (app instances). 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 Amazon Redshift and Onelogin: Access and sign-in analytics; Access governance on joined data; Queryable history for audit and compliance. Sign-in and access events from Onelogin land in Amazon Redshift, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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.
Amazon Redshift: The Redshift Data API allows running SQL over HTTPS without managing persistent connections, which suits serverless integration jobs. Onelogin: Some write calls are queued to OneLogin's job system and can take up to about five minutes to finish processing rather than completing synchronously. Stacksync's field mapping accounts for these differences between Amazon Redshift and Onelogin without custom code.
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 540 integrations available for Amazon Redshift and Onelogin.