Two-way sync
Changes in Apache Cassandra or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra 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 system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. Apache Cassandra 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 Secondary Indexes, User-Defined Types, Collections, Counters in Apache Cassandra 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.
Users, groups, and their memberships from Onelogin land in Apache Cassandra as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
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.
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.
| Apache Cassandra objects | Onelogin objects | How this pairing syncs | |
|---|---|---|---|
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Apps (app instances) Connected SAML/OIDC application configs on the account; create, update, delete, and assign to users and roles - the writable app catalog. | User-Defined Types is specific to Apache Cassandra and Apps (app instances) to Onelogin — each maps to any object or custom field on the other side. | |
| Collections List, set, and map columns handled with type-aware 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. | Collections is specific to Apache Cassandra and Groups to Onelogin — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only 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. | Counters is specific to Apache Cassandra and Mappings (mapping rules) to Onelogin — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. | Keyspaces is specific to Apache Cassandra and Events to Onelogin — each maps to any object or custom field on the other side. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. | Tables is specific to Apache Cassandra and Authentication factors (MFA) to Onelogin — each maps to any object or custom field on the other side. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. | Partitions and Rows is specific to Apache Cassandra and Custom user fields 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.
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
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 written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Onelogin connection.
Changes in Apache Cassandra or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra 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 Apache Cassandra or Onelogin record.
Track your Apache Cassandra ⇄ Onelogin sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra and Onelogin: authenticate both systems, choose the objects to sync (such as Apache Cassandra's User-Defined Types and Collections), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Onelogin. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apache Cassandra side: Secondary Indexes, User-Defined Types, Collections, Counters, plus custom fields where Apache Cassandra exposes them. On the Onelogin side: Events, Authentication factors (MFA), Custom user fields, Users. 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 Apache Cassandra and Onelogin: Read users and groups as ordinary tables; Keep group and role membership aligned; One profile, kept current. Users, groups, and their memberships from Onelogin land in Apache Cassandra as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
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 428 integrations available for Apache Cassandra and Onelogin.