Real-time
Two-way sync
Changes in Azure Service Bus or Exasol instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Data warehouse
Azure Service Bus to Exasol integration — real-time, two-way sync
Keep Azure Service Bus and Exasol in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Azure Service Bus and Exasol
Close the gap between analytics and operations: Exasol holds the record while Azure Service Bus runs the day-to-day work, and Stacksync keeps the two in step in real time, in both directions.
Exasol is the central store where teams keep UDF scripts, Users and roles, Schemas, Tables for reporting and analysis; Azure Service Bus runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Scheduled / deferred messages, Queues, Topics, Subscriptions produced in Azure Service Bus are exactly what analysts want to measure in Exasol, and the curated rows in Exasol are what should drive the next action in Azure Service Bus. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs UDF scripts, Users and roles, Schemas, Tables in Exasol with Scheduled / deferred messages, Queues, Topics, Subscriptions in Azure Service Bus field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
Common use cases
- 01 Sync computed metrics or customer segments from Exasol back into a CRM for sales and marketing use (reverse ETL).
- 02 Consolidate data from multiple operational databases into Exasol as the central analytics layer.
- 03 Preserve per-account or per-order processing order by grouping related messages into a session so a single consumer handles them in FIFO sequence.
- 04 Send new and changed database rows as messages to a Service Bus queue or topic so multiple downstream consumers process the change stream independently.
Common sync patterns
No batch jobs to babysit
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
One shared record, kept consistent
Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.
Keep user and access records aligned
Where Azure Service Bus manages users, directory, or access data, those records stay current in Exasol — and can be provisioned back from it — so ownership and permissions match across both.
What you can sync between Azure Service Bus and Exasol
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 Service Bus objects | Exasol objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. | Messages is specific to Azure Service Bus and Virtual schemas to Exasol — each maps to any object or custom field on the other side. | |
| 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. | UDF scripts In-database functions that can transform synced data after load. | Rules / Filters is specific to Azure Service Bus and UDF scripts to Exasol — each maps to any object or custom field on the other side. | |
| Sessions Message sessions group related messages by SessionId so one consumer handles them in FIFO order; the way ordered processing is achieved in Service Bus. | Users and roles Grant read/write access for the dedicated integration account. | Sessions is specific to Azure Service Bus and Users and roles to Exasol — each maps to any object or custom field on the other side. | |
| Dead-letter queue A sub-queue on every queue and subscription that automatically holds messages exceeding the max delivery count or their TTL, read for inspection and reprocessing. | Schemas Namespaces that group the tables a sync reads from or writes into. | Dead-letter queue is specific to Azure Service Bus and Schemas to Exasol — each maps to any object or custom field on the other side. | |
| 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. | Tables Primary sync target; columnar relational tables written with standard SQL. | Scheduled / deferred messages is specific to Azure Service Bus and Tables to Exasol — each maps to any object or custom field on the other side. | |
| 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. | Views Read-only query surfaces often used as curated sources for reverse ETL. | Queues is specific to Azure Service Bus and Views to Exasol — each maps to any object or custom field on the other side. |
How changes propagate between Azure Service Bus and Exasol
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.
Azure Service Bus Exasol 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 applied to Exasol as a row-level write, with types converted between the two schemas.
Exasol Azure Service Bus Interval-based propagation
DetectionStacksync polls Exasol for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key columns.
DeliveryEach detected change is written to Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- 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.
- Exasol: No API quota; concurrency is bounded by cluster resources and session limits.
What ships with Azure Service Bus ⇄ Exasol
Connect Azure Service Bus and Exasol for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–Exasol connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Service Bus or Exasol 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 Azure Service Bus or Exasol record.
Observability
Monitoring
Track your Azure Service Bus ⇄ Exasol sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and Exasol.
How the Azure Service Bus and Exasol connectors work
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
Exasol
- Integration surface
- SQL over JDBC/ODBC drivers and a WebSocket-based client protocol
- Authentication
- Database credentials (username and password)
- Change detection
- Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients
- Capabilities
- read · write
- Rate limits
- No API quota; concurrency is bounded by cluster resources and session limits
How it works
How to connect Azure Service Bus to Exasol — 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.
- 01
Connect your apps
Authenticate Azure Service Bus and Exasol with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure Service Bus
connected
Exasol
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Service Bus and Exasol 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.
objects · Azure Service Bus ⇄ ExasolCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Azure Service Bus ExasolCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Service Bus and Exasol integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Service Bus and Exasol: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Messages and Rules / Filters), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Azure Service Bus and Exasol: No batch jobs to babysit; One shared record, kept consistent; Keep user and access records aligned. New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
-
Azure Service Bus: 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. Exasol: SQL over JDBC/ODBC drivers and a WebSocket-based client protocol. Authentication: Database credentials (username and password). Stacksync manages authentication, retries, and rate limits on both sides.
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Exasol: Virtual schemas let Exasol query external sources in place, which affects whether data needs to be physically synced at all. Azure Service Bus: FIFO ordering is not the default - it requires message sessions, which bind related messages by SessionId to a single consumer; without sessions, competing consumers process a queue in parallel with no global order. Stacksync's field mapping accounts for these differences between Azure Service Bus and Exasol without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure Service Bus and Exasol records are not retained after a sync operation.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ 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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 311 integrations available for Azure Service Bus and Exasol.
Popular · 7 of 311
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Azure Service Bus ⇄ Dremio -
Azure Service Bus ⇄ Firebolt -
Azure Service Bus ⇄ Google Cloud Platform -
Azure Service Bus ⇄ Greenplum -
Exasol ⇄ Ldap -
Exasol ⇄ Jms -
Exasol ⇄ Newrelic
No integrations match .
