Two-way sync
Changes in Azure Service Bus or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus and SAP ASE (Sybase) in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
SAP ASE (Sybase) 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 Triggers, Indexes, Tables, Views in SAP ASE (Sybase) 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.
Records and events from Azure Service Bus arrive in SAP ASE (Sybase) as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in SAP ASE (Sybase) and Stacksync keeps Azure Service Bus current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Azure Service Bus arrive as row changes in SAP ASE (Sybase), and writes to SAP ASE (Sybase) propagate to Azure Service Bus within seconds, so triggers, jobs, and alerts fire without polling.
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 | SAP ASE (Sybase) objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Views Read-only projections used to shape data for extraction without touching base tables. | Dead-letter queue is specific to Azure Service Bus and Views to SAP ASE (Sybase) — 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. | Stored Procedures T-SQL routines that encapsulate business logic; often invoked instead of direct table writes. | Scheduled / deferred messages is specific to Azure Service Bus and Stored Procedures to SAP ASE (Sybase) — 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. | Databases and Schemas Namespaces that scope sync configuration and permissions. | Queues is specific to Azure Service Bus and Databases and Schemas to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| 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. | Triggers Server-side hooks sometimes used to populate change-capture tables for syncs. | Topics is specific to Azure Service Bus and Triggers to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| 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. | Indexes Access paths that keep keyed polling queries efficient on large OLTP tables. | Subscriptions is specific to Azure Service Bus and Indexes to SAP ASE (Sybase) — each maps to any object or custom field on the other side. | |
| 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. | Tables The core sync unit; rows are read and written with standard SQL. | Messages is specific to Azure Service Bus and Tables to SAP ASE (Sybase) — 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.
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 SAP ASE (Sybase) as a row-level write, with types converted between the two schemas.
DetectionStacksync polls SAP ASE (Sybase) for changes on an incremental schedule, reading only records changed since the previous pass. Timestamp or key-based polling and trigger-based capture.
DeliveryEach detected change is written to Azure Service Bus through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Service Bus–SAP ASE (Sybase) connection.
Changes in Azure Service Bus or SAP ASE (Sybase) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or SAP ASE (Sybase) data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Service Bus or SAP ASE (Sybase) record.
Track your Azure Service Bus ⇄ SAP ASE (Sybase) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and SAP ASE (Sybase).
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 Azure Service Bus and SAP ASE (Sybase) 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 Azure Service Bus and SAP ASE (Sybase) 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 Azure Service Bus and SAP ASE (Sybase): authenticate both systems, choose the objects to sync (such as Azure Service Bus's Dead-letter queue and Scheduled / deferred messages), 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 Azure Service Bus and SAP ASE (Sybase) connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Service Bus–SAP ASE (Sybase) integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Service Bus and SAP ASE (Sybase). The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Service Bus: 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. On SAP ASE (Sybase): Timestamp or key-based polling and trigger-based capture; log-based replication requires SAP Replication Server components. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SAP ASE (Sybase) side: Triggers, Indexes, Tables, Views, plus custom fields where SAP ASE (Sybase) exposes them. On the Azure Service Bus side: Topics, Subscriptions, Messages, Rules / Filters. 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 345 integrations available for Azure Service Bus and SAP ASE (Sybase).