Two-way sync
Changes in Azure Synapse Analytics or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Azure Synapse Analytics and Tinybird continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
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 | Tinybird objects | |
|---|---|---|
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Tokens Scoped credentials that control read and append rights per resource. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Tinybird connection.
Changes in Azure Synapse Analytics or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or Tinybird 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 Tinybird record.
Track your Azure Synapse Analytics ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Tinybird.
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 Tinybird 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 Tinybird 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 Tinybird: 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.
Azure Synapse Analytics: Dedicated SQL pool tables are distributed across compute nodes using hash, round-robin, or replicated strategies, and the choice affects load and query performance for synced tables. Tinybird: Tinybird is built on ClickHouse; Pipes are chained SQL nodes that can be published directly as parameterized HTTP endpoints. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics and Tinybird 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 Tinybird records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Synapse Analytics and Tinybird connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Synapse Analytics–Tinybird integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Synapse Analytics and Tinybird. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. On Tinybird: Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Tinybird.