Two-way sync
Changes in Starburst Enterprise or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep Starburst Enterprise and Yellowbrick 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 Starburst Enterprise and Yellowbrick 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.
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.
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
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.
| Starburst Enterprise objects | Yellowbrick objects | |
|---|---|---|
| Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | Users and Roles Access-control objects that govern what a sync service account can read and write. | |
| Tables Queryable relations; writes pass through to sources whose connectors support them. | Databases Top-level containers for schemas and tables. | |
| Views Engine-level SQL views used to shape federated data before syncing it out. | Schemas Namespaces used to organize synced datasets by source or domain. | |
| Materialized views Precomputed results that make repeated sync reads cheaper. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | |
| Columns Typed per the Trino type system, mapped from each source's native types. | Views Logical views used to shape reads for BI and downstream syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Starburst Enterprise–Yellowbrick connection.
Changes in Starburst Enterprise or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Starburst Enterprise or Yellowbrick data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Starburst Enterprise or Yellowbrick record.
Track your Starburst Enterprise ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Starburst Enterprise and Yellowbrick.
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 Starburst Enterprise and Yellowbrick 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 Starburst Enterprise and Yellowbrick 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 Starburst Enterprise and Yellowbrick: authenticate both systems, choose the objects to sync (such as Starburst Enterprise's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Starburst Enterprise and Yellowbrick. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Starburst Enterprise: Query-based polling; Starburst is a query engine and exposes no change log of its own. On Yellowbrick: Polling on timestamp columns; no exposed transaction-log CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Starburst Enterprise side: Schemas, Tables, Views, Materialized views, plus custom fields where Starburst Enterprise exposes them. On the Yellowbrick side: Views, Users and Roles, Databases, 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 Starburst Enterprise and Yellowbrick: Consolidation after M&A; Migration without a big bang; Serve tools that only connect to one platform. Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
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 Starburst Enterprise and Yellowbrick.