Two-way sync
Changes in Azure Service Bus or Vertica instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Service Bus and Vertica in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Vertica is the central store where teams keep External Tables, Schemas, Tables, Projections 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 Vertica, and the curated rows in Vertica 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 External Tables, Schemas, Tables, Projections in Vertica 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.
A row scored, flagged, or enriched in Vertica creates or updates the matching record in Azure Service Bus, so the operational tool acts on the same data the analysts already see.
Load the existing set of Scheduled / deferred messages, Queues, Topics, Subscriptions into Vertica once, then keep it current with every change — you get full history plus real-time updates without a separate pipeline.
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.
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 | Vertica objects | How this pairing syncs | |
|---|---|---|---|
| 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. | External Tables Data queried in place on files or object storage without loading. | Topics is specific to Azure Service Bus and External Tables to Vertica — 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. | Schemas Namespaces used to organize synced datasets by domain or source. | Subscriptions is specific to Azure Service Bus and Schemas to Vertica — 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 Columnar tables; the primary read and write targets for syncs. | Messages is specific to Azure Service Bus and Tables to Vertica — 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. | Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. | Rules / Filters is specific to Azure Service Bus and Projections to Vertica — 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. | Views Logical views used to shape reads for downstream consumers. | Sessions is specific to Azure Service Bus and Views to Vertica — 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. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | Dead-letter queue is specific to Azure Service Bus and Flex Tables to Vertica — 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 Vertica as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Vertica for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction-log CDC.
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–Vertica connection.
Changes in Azure Service Bus or Vertica instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Service Bus or Vertica 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 Vertica record.
Track your Azure Service Bus ⇄ Vertica sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Service Bus and Vertica.
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 Vertica 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 Vertica 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 Vertica: authenticate both systems, choose the objects to sync (such as Azure Service Bus's Topics and Subscriptions), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Vertica side: External Tables, Schemas, Tables, Projections, plus custom fields where Vertica exposes them. On the Azure Service Bus side: Scheduled / deferred messages, Queues, Topics, Subscriptions. 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.
Common patterns for Azure Service Bus and Vertica: Warehouse signals reach Azure Service Bus; Backfill history, then stay live; No batch jobs to babysit. A row scored, flagged, or enriched in Vertica creates or updates the matching record in Azure Service Bus, so the operational tool acts on the same data the analysts already see.
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. Vertica: SQL over JDBC, ODBC, and ADO.NET drivers. Authentication: Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
Vertica: Eon mode separates compute from communal object storage, letting subclusters scale independently of the data. Azure Service Bus: Delivery is at-least-once under PeekLock: a message stays locked while being processed and is redelivered if it is not completed before the lock expires, so consumers should be idempotent or use duplicate detection (dedupe by MessageId). Stacksync's field mapping accounts for these differences between Azure Service Bus and Vertica without custom code.
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 317 integrations available for Azure Service Bus and Vertica.