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Database ⇄ Developer tools

Apache Cassandra to Azure Service Bus integration — real-time, two-way sync

Keep Apache Cassandra and Azure Service Bus 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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Why teams connect Apache Cassandra and Azure Service Bus

Keep Apache Cassandra and Azure Service Bus in step: the rows in your database and the Topics, Subscriptions, Messages, Rules / Filters your engineering tools track stay consistent in real time, in both directions.

Apache Cassandra is where your application's durable data lives; Azure Service Bus is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.

Stacksync syncs User-Defined Types, Collections, Counters, Keyspaces in Apache Cassandra with Topics, Subscriptions, Messages, Rules / Filters in Azure Service Bus field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.

Common use cases

  • 01 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • 02 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
  • 03 Send new and changed database rows as messages to a Service Bus queue or topic so multiple downstream consumers process the change stream independently.
  • 04 Receive messages from a queue or subscription with an AMQP receiver and write them into a Postgres or warehouse table for durable, SQL-queryable storage.

Common sync patterns

React to changes on either side in near real time

Updates in Azure Service Bus arrive as row changes in Apache Cassandra, and writes to Apache Cassandra propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.

Where Azure Service Bus manages users or groups: keep identity aligned

Directory and identity records in Azure Service Bus stay matched to the users or owners table in Apache Cassandra, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in Apache Cassandra creates or updates the matching record in Azure Service Bus, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

What you can sync between Apache Cassandra and Azure Service Bus

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 Service Bus objects How this pairing syncs
Collections List, set, and map columns handled with type-aware field mapping. Scheduled / deferred messages Messages enqueued for future delivery at a set time, or deferred and set aside by sequence number for retrieval later, out of the normal receive order. Collections is specific to Apache Cassandra and Scheduled / deferred messages to Azure Service Bus — each maps to any object or custom field on the other side.
Counters Increment-only counter columns, usually read-only in syncs. Queues Point-to-point entity: a sender writes messages and one competing consumer at a time receives them under PeekLock, then completes or abandons each message. Counters is specific to Apache Cassandra and Queues to Azure Service Bus — each maps to any object or custom field on the other side.
Keyspaces Top-level namespaces with replication settings that scope a sync connection. Topics Publish/subscribe entity a publisher sends to; each message is fanned out to every subscription whose filter rules match, so many consumers get their own copy. Keyspaces is specific to Apache Cassandra and Topics to Azure Service Bus — 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. Subscriptions A virtual queue attached to a topic; a consumer receives its own stream of matching messages here, independent of other subscriptions on the same topic. Tables is specific to Apache Cassandra and Subscriptions to Azure Service Bus — 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. Messages The synced unit: a body plus system and user properties, MessageId, SessionId, and TTL; capped at 256 KB on Standard and up to 100 MB on Premium over AMQP. Partitions and Rows is specific to Apache Cassandra and Messages to Azure Service Bus — 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. Rules / Filters SQL or correlation filters on a subscription that decide which topic messages it receives; a rule can also add or modify properties via a filter action. Materialized Views is specific to Apache Cassandra and Rules / Filters to Azure Service Bus — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and Azure Service Bus

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.

Apache Cassandra Azure Service Bus Sub-second propagation

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 Service Bus through its API, with automatic retries and rate-limit backoff.

Azure Service Bus Apache Cassandra Interval-based propagation

DetectionStacksync polls Azure Service Bus for changes on an incremental schedule, reading only records changed since the previous pass. Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or.

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

Rate-limit considerations

  • Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
  • Azure Service Bus: Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity.
What ships with Apache Cassandra ⇄ Azure Service Bus

Connect Apache Cassandra and Azure Service Bus for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Azure Service Bus connection.

Real-time

Two-way sync

Changes in Apache Cassandra or Azure Service Bus instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Azure Service Bus 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 Apache Cassandra or Azure Service Bus record.

Observability

Monitoring

Track your Apache Cassandra ⇄ Azure Service Bus sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Azure Service Bus.

How the Apache Cassandra and Azure Service Bus connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

Azure Service Bus

Integration surface
AMQP 1.0 messaging protocol plus an HTTP/REST API; entities live under a namespace at <namespace>.servicebus.windows.net (legacy SBMP also supported)
Authentication
Microsoft Entra ID (Azure AD) RBAC with managed identities - roles Azure Service Bus Data Owner, Data Sender, and Data Receiver - or Shared Access Signature (SAS) policies scoped with Manage, Send, and Listen claims
Change detection
Consumes messages as they arrive: an AMQP receiver holds an open connection and takes messages with PeekLock (lock, then complete/abandon) or ReceiveAndDelete. No modified-date polling and no native HTTP push; Azure Event Grid can separately raise an 'active messages available' event for intermittent receivers
Capabilities
read · write
Rate limits
Standard tier throttles around 1,000 operations/second and returns a ServerBusy error; Premium provisions dedicated messaging units (1, 2, 4, 8, or 16) for isolated, predictable throughput. Up to 5,000 concurrent AMQP connections per namespace and 5,000 concurrent receive requests per entity
How it works

How to connect Apache Cassandra to Azure Service Bus — 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 Apache Cassandra and Azure Service Bus 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
    Apache Cassandra connected
    Azure Service Bus connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra and Azure Service Bus 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 · Apache Cassandra ⇄ Azure Service Bus
    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
    Apache Cassandra Azure Service Bus
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and Azure Service Bus 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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→ SECURITY WITH BENEFITS

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 309 integrations available for Apache Cassandra and Azure Service Bus.

Popular · 7 of 309
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