Real-time
Two-way sync
Changes in Rabbitmq or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Rabbitmq to TimescaleDB integration — real-time, two-way sync
Keep Rabbitmq and TimescaleDB 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
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Rabbitmq and TimescaleDB
Keep TimescaleDB and Rabbitmq in step: the rows in your database and the Messages, Virtual Hosts, Consumers, Connections and Channels your engineering tools track stay consistent in real time, in both directions.
TimescaleDB is where your application's durable data lives; Rabbitmq 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 Chunks, Continuous Aggregates, Regular PostgreSQL Tables, Views in TimescaleDB with Messages, Virtual Hosts, Consumers, Connections and Channels in Rabbitmq 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 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
- 02 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- 03 Publish records changed in a CRM or operational database onto a RabbitMQ Exchange so services consuming the bound Queues react to them.
- 04 Fan a single event out to multiple systems by binding several Queues to a fanout Exchange, each feeding a different Stacksync sync.
Common sync patterns
React to changes on either side in near real time
Updates in Rabbitmq arrive as row changes in TimescaleDB, and writes to TimescaleDB propagate to Rabbitmq within seconds, so triggers, jobs, and alerts fire without polling.
Where Rabbitmq manages users or groups: keep identity aligned
Directory and identity records in Rabbitmq stay matched to the users or owners table in TimescaleDB, so provisioning and de-provisioning flow from one source.
Turn rows into the records your tools track
A new or changed row in TimescaleDB creates or updates the matching record in Rabbitmq, 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 Rabbitmq and TimescaleDB
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.
| Rabbitmq objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Messages The payload plus headers and properties; consumed (read) via basic.consume and published (write) via basic.publish, then mapped to rows or records. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Messages is specific to Rabbitmq and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Virtual Hosts Isolated namespaces (vhosts) that separate environments or tenants; a connection targets one vhost and permissions are scoped to it. | Views Standard SQL views used to shape or filter data for consumers. | Virtual Hosts is specific to Rabbitmq and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| Consumers Subscriptions registered on a queue for push delivery; RabbitMQ pushes each enqueued message down the consumer's open AMQP connection in real time. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Consumers is specific to Rabbitmq and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Connections and Channels Client sessions and their multiplexed channels; listable through the Management HTTP API for monitoring but not a sync payload themselves. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Connections and Channels is specific to Rabbitmq and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Users and Permissions Auth principals and per-vhost configure/write/read access rules; managed over the HTTP API, usually read-only in a data sync. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Users and Permissions is specific to Rabbitmq and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Nodes Cluster members exposing health, memory, and disk metrics via the Management HTTP API; read-only, used for monitoring alongside a sync. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Nodes is specific to Rabbitmq and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Rabbitmq and TimescaleDB
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.
Rabbitmq TimescaleDB Interval-based propagation
DetectionStacksync polls Rabbitmq for changes on an incremental schedule, reading only records changed since the previous pass. Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Rabbitmq Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is written to Rabbitmq through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Rabbitmq: No fixed API request quota; the broker applies TCP back-pressure (flow control), per-consumer prefetch (QoS) limits, and blocks publishers when memory or disk alarms trip.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Rabbitmq ⇄ TimescaleDB
Connect Rabbitmq and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Rabbitmq–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Rabbitmq or TimescaleDB 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 Rabbitmq or TimescaleDB record.
Observability
Monitoring
Track your Rabbitmq ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Rabbitmq and TimescaleDB.
How the Rabbitmq and TimescaleDB connectors work
Rabbitmq
- Integration surface
- AMQP 0-9-1 for publish/consume (AMQP 1.0 is native in RabbitMQ 4.0+; MQTT and STOMP via plugins) plus the Management HTTP REST API on port 15672
- Authentication
- AMQP username/password (SASL PLAIN) over TLS, plus x509 client certificates and OAuth 2.0 (JWT) via auth-backend plugins; the Management HTTP API uses HTTP Basic auth, or Bearer tokens when OAuth 2.0 is enabled
- Change detection
- Push delivery — a consumer subscribes to a queue (AMQP basic.consume) and RabbitMQ pushes each enqueued message down the open AMQP connection in real time; there is no modified-date polling, and the Management HTTP API is stats-only and poll-based
- Capabilities
- read · write
- Rate limits
- No fixed API request quota; the broker applies TCP back-pressure (flow control), per-consumer prefetch (QoS) limits, and blocks publishers when memory or disk alarms trip.
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Rabbitmq to TimescaleDB — 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 Rabbitmq and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Rabbitmq
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Rabbitmq and TimescaleDB 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 · Rabbitmq ⇄ TimescaleDBCustomers 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.
Rabbitmq TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Rabbitmq and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Rabbitmq and TimescaleDB: authenticate both systems, choose the objects to sync (such as Rabbitmq's Messages and Virtual Hosts), 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 Rabbitmq and TimescaleDB: React to changes on either side in near real time; Where Rabbitmq manages users or groups: keep identity aligned; Turn rows into the records your tools track. Updates in Rabbitmq arrive as row changes in TimescaleDB, and writes to TimescaleDB propagate to Rabbitmq within seconds, so triggers, jobs, and alerts fire without polling.
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Rabbitmq: AMQP 0-9-1 for publish/consume (AMQP 1.0 is native in RabbitMQ 4.0+; MQTT and STOMP via plugins) plus the Management HTTP REST API on port 15672. Authentication: AMQP username/password (SASL PLAIN) over TLS, plus x509 client certificates and OAuth 2.0 (JWT) via auth-backend plugins; the Management HTTP API uses HTTP Basic auth, or Bearer tokens when OAuth 2.0 is enabled. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Rabbitmq: Classic, quorum, and stream queue types differ in durability and replay: classic and quorum queues remove a message on acknowledgment, while only streams retain messages after consumption for reprocessing. Stacksync's field mapping accounts for these differences between Rabbitmq and TimescaleDB 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 Rabbitmq and TimescaleDB 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 308 integrations available for Rabbitmq and TimescaleDB.
Popular · 6 of 308
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Rabbitmq ⇄ Amazon Aurora -
Rabbitmq ⇄ Amazon Lightsail -
Rabbitmq ⇄ Apache Cassandra -
Rabbitmq ⇄ Azure Cosmos DB -
TimescaleDB ⇄ Datadog -
TimescaleDB ⇄ Ldap
No integrations match .
