Two-way sync
Changes in Azure Synapse Analytics or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics and Starburst Enterprise 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 Starburst Enterprise 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.
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
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.
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 | Starburst Enterprise objects | |
|---|---|---|
| Views Curated projections used when downstream tools should not read base tables directly. | Materialized views Precomputed results that make repeated sync reads cheaper. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Columns Typed per the Trino type system, mapped from each source's native types. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Views Engine-level SQL views used to shape federated data before syncing it out. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Starburst Enterprise connection.
Changes in Azure Synapse Analytics or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics or Starburst Enterprise 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 Starburst Enterprise record.
Track your Azure Synapse Analytics ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Starburst Enterprise.
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 Starburst Enterprise 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 Starburst Enterprise 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 Starburst Enterprise: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Views and Schemas), 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 Starburst Enterprise: Query-based polling; Starburst is a query engine and exposes no change log of its own. 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: Views, Schemas, Materialized views, SQL pools, plus custom fields where Azure Synapse Analytics exposes them. On the Starburst Enterprise side: Materialized views, Columns, Catalogs, Schemas. 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 Starburst Enterprise: Serve tools that only connect to one platform; Shared datasets across teams; Consolidation after M&A. Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
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. Starburst Enterprise: ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol. Authentication: Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos. 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 Starburst Enterprise.