Two-way sync
Changes in Azure Synapse Analytics or Citus instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics and Citus in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Citus's rows in Azure Synapse Analytics, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Citus where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Citus sync into Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Citus, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Azure Synapse Analytics and keep Citus focused on its operational workload.
Rows from Citus land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
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 Synapse Analytics objects | Citus objects | |
|---|---|---|
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Views Curated projections over distributed data, often used as read-only sync sources. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Sequences Key generators that matter when external writes must not collide with application inserts. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Citus connection.
Changes in Azure Synapse Analytics or Citus instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or Citus 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 Synapse Analytics or Citus record.
Track your Azure Synapse Analytics ⇄ Citus sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Citus.
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 Synapse Analytics and Citus 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 Synapse Analytics and Citus 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 Synapse Analytics and Citus: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's External tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Synapse Analytics and Citus: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). Stacksync manages authentication, retries, and rate limits on both sides.
Azure Synapse Analytics: The serverless SQL pool queries files in the data lake directly, so some 'tables' a sync sees are projections over Parquet or CSV rather than managed storage. Citus: Citus is a PostgreSQL extension, not a fork: clients connect with ordinary Postgres drivers and SQL, and the coordinator routes queries to shards. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics and Citus without custom code.
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 Synapse Analytics and Citus records are not retained after a sync operation.
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 386 integrations available for Azure Synapse Analytics and Citus.