Two-way sync
Changes in Apache Cassandra or Azure Active Directory instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Azure Active Directory in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Azure Active Directory 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 Materialized Views, Secondary Indexes, User-Defined Types, Collections in Apache Cassandra with Groups, Group memberships, Applications, Service principals in Azure Active Directory 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.
When someone is marked inactive or removed in Apache Cassandra, the matching account in Azure Active Directory is disabled within seconds, closing the window between a departure and a login that still works.
Users, groups, and their memberships from Azure Active Directory 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.
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 | Azure Active Directory objects | How this pairing syncs | |
|---|---|---|---|
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Groups /groups covering security and Microsoft 365 groups; created, updated, and deleted through Graph, and read into warehouses for entitlement reporting. | Keyspaces is specific to Apache Cassandra and Groups to Azure Active Directory — 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. | Group memberships Member and owner relationships on /groups/{id}/members; added and removed via the $ref endpoint and tracked for changes with delta query on $select=members. | Tables is specific to Apache Cassandra and Group memberships to Azure Active Directory — 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. | Applications App registrations under /applications; usually read into a database or CMDB for app ownership and credential-expiry tracking. | Partitions and Rows is specific to Apache Cassandra and Applications to Azure Active Directory — each maps to any object or custom field on the other side. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Service principals /servicePrincipals (enterprise apps) plus appRoleAssignments; read for app inventory and access-posture reporting. | Materialized Views is specific to Apache Cassandra and Service principals to Azure Active Directory — each maps to any object or custom field on the other side. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Directory roles /directoryRoles and roleManagement assignments; read for privileged-access reviews, with role-assignment writes where the granted scopes permit. | Secondary Indexes is specific to Apache Cassandra and Directory roles to Azure Active Directory — 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. | Devices /devices registered or joined to the tenant; typically read-only into asset and security databases. | User-Defined Types is specific to Apache Cassandra and Devices to Azure Active Directory — 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 Azure Active Directory through its API, with automatic retries and rate-limit backoff.
DetectionAzure Active Directory notifies Stacksync of record changes through webhook events. Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification.
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–Azure Active Directory connection.
Changes in Apache Cassandra or Azure Active Directory instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Azure Active Directory 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 Azure Active Directory record.
Track your Apache Cassandra ⇄ Azure Active Directory sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Azure Active Directory.
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 Azure Active Directory 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 Azure Active Directory 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 Azure Active Directory: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Keyspaces and Tables), 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 Azure Active Directory connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Azure Active Directory integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Azure Active Directory. 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 Azure Active Directory: Microsoft Graph delta query (deltaLink tokens returning only changed users and groups, with @removed deletions) paired with change-notification webhook subscriptions for near-real-time push. 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: Materialized Views, Secondary Indexes, User-Defined Types, Collections, plus custom fields where Apache Cassandra exposes them. On the Azure Active Directory side: Groups, Group memberships, Applications, Service principals. 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.
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Every pair below is a real-time, two-way sync. Search all 428 integrations available for Apache Cassandra and Azure Active Directory.