Two-way sync
Changes in Azure Synapse Analytics or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics and Supabase 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 Supabase'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 Supabase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Supabase sync into Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Supabase, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Azure Synapse Analytics sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
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 Supabase focused on its operational workload.
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 | Supabase objects | |
|---|---|---|
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Schemas Namespaces (public and custom) that scope sync access. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | auth.users Managed authentication users, often mirrored into CRM or support systems. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Database Functions Postgres functions that can transform or validate synced rows. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Storage Object Metadata File metadata rows that can be joined to synced application data. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Supabase connection.
Changes in Azure Synapse Analytics or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or Supabase 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 Supabase record.
Track your Azure Synapse Analytics ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Supabase.
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 Supabase 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 Supabase 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 Supabase: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Tables (dedicated SQL pool) and External tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure Synapse Analytics side: Tables (dedicated SQL pool), External tables, Views, Schemas, plus custom fields where Azure Synapse Analytics exposes them. On the Supabase side: Schemas, auth.users, Row Level Security Policies, JSONB Columns. 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 Synapse Analytics and Supabase: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Azure Synapse Analytics sync into Supabase, where whatever reads from that database gets them without querying the warehouse.
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. Supabase: Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST). Authentication: Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer. Stacksync manages authentication, retries, and rate limits on both sides.
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 Supabase.