Two-way sync
Changes in Apache Cassandra or Hibob instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Hibob in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Hibob is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Apache Cassandra is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Documents, Named lists, People (Employees), Employment in Hibob need to exist as queryable User-Defined Types, Collections, Counters, Keyspaces in Apache Cassandra before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.
Stacksync syncs User-Defined Types, Collections, Counters, Keyspaces in Apache Cassandra with Documents, Named lists, People (Employees), Employment in Hibob field by field, in real time. You decide which system owns which fields — Hibob typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.
The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
Documents, Named lists, People (Employees), Employment replicate into Apache Cassandra where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
Groups, departments, managers, and reporting lines from Hibob stay consistent in Apache Cassandra, so hierarchy-driven logic and permissions don't drift.
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 | Hibob objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Lifecycle Hire, termination, and leave status changes at /people/{id}/lifecycle; read-only and the source of lifecycle webhook events. | Materialized Views is specific to Apache Cassandra and Lifecycle to Hibob — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Documents Employee documents accessed under the Docs API; gated behind the Documents permission granted per service user. | Secondary Indexes is specific to Apache Cassandra and Documents to Hibob — each maps to any object or custom field on the other side. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Named lists Dropdown option lists such as departments and sites used to resolve field values when mapping People records during sync. | User-Defined Types is specific to Apache Cassandra and Named lists to Hibob — each maps to any object or custom field on the other side. | |
| Collections List, set, and map columns handled with type-aware field mapping. | People (Employees) Core employee records with out-of-the-box and custom fields; read via POST /people/search, created and updated through the /people endpoints. | Collections is specific to Apache Cassandra and People (Employees) to Hibob — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Employment Historical table of job terms, contract, and working pattern under /people/{id}/employment; full CRUD, entries keyed by effectiveDate. | Counters is specific to Apache Cassandra and Employment to Hibob — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Work Reporting line, department, site, and title under /people/{id}/work; drives the org chart and is synced two-way to directories. | Keyspaces is specific to Apache Cassandra and Work to Hibob — 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 Hibob through its API, with automatic retries and rate-limit backoff.
DetectionHibob notifies Stacksync of record changes through webhook events. Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events.
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–Hibob connection.
Changes in Apache Cassandra or Hibob instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Hibob 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 Hibob record.
Track your Apache Cassandra ⇄ Hibob sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Hibob.
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 Hibob 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 Hibob 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 Hibob: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Materialized Views and Secondary Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Cassandra and Hibob connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Hibob integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Hibob. 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 Hibob: Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events; the employee.updated payload flags which fields changed and Bob recommends an API call for the full record. There is no CDC stream, and deleting a table entry fires no webhook (Bob has no table-entry deletion event). 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: User-Defined Types, Collections, Counters, Keyspaces, plus custom fields where Apache Cassandra exposes them. On the Hibob side: Documents, Named lists, People (Employees), Employment. 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.
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 430 integrations available for Apache Cassandra and Hibob.