Two-way sync
Changes in Azure SQL Database or Okta instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database and Okta in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Okta 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. Azure SQL Database 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 Views, Schemas, Rows and columns, Stored procedures in Azure SQL Database with Users, Groups, Applications, Group Rules in Okta 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.
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
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.
When a person is added to the employee, member, or customer table in Azure SQL Database, Stacksync creates the matching user in Okta with the right attributes, so access starts from live data instead of a manual ticket.
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 SQL Database objects | Okta objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Groups Okta groups (OKTA_GROUP, APP_GROUP, BUILT_IN) and their memberships; OKTA_GROUP records and membership are written to drive app and resource access. | Tables is specific to Azure SQL Database and Groups to Okta — each maps to any object or custom field on the other side. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Applications App integrations (SAML, OIDC, SWA) with per-user and per-group assignments; read and updated to manage which identities can reach each downstream app. | Views is specific to Azure SQL Database and Applications to Okta — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Group Rules Dynamic rules that add users to groups from profile attributes; read and written to automate access based on department, title, or location. | Schemas is specific to Azure SQL Database and Group Rules to Okta — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Factors (Authenticators) MFA enrollments per user (Okta Verify, WebAuthn, SMS, email); read for security-posture reporting and reset when a device is lost or rotated. | Rows and columns is specific to Azure SQL Database and Factors (Authenticators) to Okta — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Policies Sign-on, password, and authenticator-enrollment policies with their rules; read to audit access controls or updated to manage them centrally. | Stored procedures is specific to Azure SQL Database and Policies to Okta — each maps to any object or custom field on the other side. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | System Log Immutable audit event stream of logins, admin changes, and lifecycle events; read-only, polled by timestamp and used as the change feed and SIEM source. | Change tracking / CDC tables is specific to Azure SQL Database and System Log to Okta — 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.
DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
DeliveryEach detected change is written to Okta through its API, with automatic retries and rate-limit backoff.
DetectionOkta notifies Stacksync of record changes through webhook events. Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time.
DeliveryEach detected change is applied to Azure SQL Database 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 SQL Database–Okta connection.
Changes in Azure SQL Database or Okta instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or Okta 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 SQL Database or Okta record.
Track your Azure SQL Database ⇄ Okta sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Okta.
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 SQL Database and Okta 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 SQL Database and Okta 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 SQL Database and Okta: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Azure SQL Database and Okta. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure SQL Database: Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback. On Okta: Event Hooks send an HTTPS POST to a subscribed endpoint on events such as user.lifecycle.create and group.user_membership.add (after a one-time verification handshake); the System Log API (/api/v1/logs) is polled by the since parameter and the next Link header for a near-real-time change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure SQL Database side: Views, Schemas, Rows and columns, Stored procedures, plus custom fields where Azure SQL Database exposes them. On the Okta side: Users, Groups, Applications, Group 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 Azure SQL Database and Okta: Keep group and role membership aligned; One profile, kept current; Provision accounts from the source of truth. A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
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 441 integrations available for Azure SQL Database and Okta.