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Database ⇄ Security and identity

Amazon Aurora to Onelogin integration — real-time, two-way sync

Keep Amazon Aurora 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Amazon Aurora and Onelogin

Close the gap between your application data and your directory: Amazon Aurora 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. Amazon Aurora 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 Tables, Views, Materialized Views, Columns and Data Types in Amazon Aurora with Events, Authentication factors (MFA), Custom user fields, Users 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 Stream row-level changes from Aurora into a warehouse for near-real-time analytics without batch exports.
  • 02 Consolidate several Aurora clusters into one reporting database.
  • 03 Keep Role membership aligned with application or database entitlement tables so each role's assigned users match who should hold that access.
  • 04 Read Users, Apps, and Groups into a database for identity, license, and app-assignment inventory across the OneLogin account.

Common sync patterns

Read users and groups as ordinary tables

Users, groups, and their memberships from Onelogin land in Amazon Aurora 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.

One profile, kept current

A name, department, email, or manager corrected in either system updates the other, so the profile the directory shows and the data the application reads stop drifting apart.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Onelogin objects How this pairing syncs
Views Read-only query-backed sources for downstream syncs. Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. Views is specific to Amazon Aurora and Roles to Onelogin — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Apps (app instances) Connected SAML/OIDC application configs on the account; create, update, delete, and assign to users and roles - the writable app catalog. Materialized Views is specific to Amazon Aurora and Apps (app instances) to Onelogin — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. 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. Columns and Data Types is specific to Amazon Aurora and Groups to Onelogin — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. Primary and Foreign Keys is specific to Amazon Aurora and Mappings (mapping rules) to Onelogin — each maps to any object or custom field on the other side.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. Read Replicas is specific to Amazon Aurora and Events to Onelogin — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. Databases is specific to Amazon Aurora and Authentication factors (MFA) to Onelogin — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora 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.

Amazon Aurora Onelogin Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

DeliveryEach detected change is written to Onelogin through its API, with automatic retries and rate-limit backoff.

Onelogin Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • 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 Amazon Aurora ⇄ Onelogin

Connect Amazon Aurora and Onelogin for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Onelogin connection.

Real-time

Two-way sync

Changes in Amazon Aurora or Onelogin instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Onelogin record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Onelogin sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Onelogin.

How the Amazon Aurora and Onelogin connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Amazon Aurora 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.

  1. 01

    Connect your apps

    Authenticate Amazon Aurora 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon Aurora connected
    Onelogin connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon Aurora ⇄ Onelogin
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon Aurora Onelogin
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Onelogin integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 432 integrations available for Amazon Aurora and Onelogin.

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