Two-way sync
Changes in Amazon Aurora or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Amazon Aurora's rows in Starburst Enterprise, 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 Amazon Aurora where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Amazon Aurora sync into Starburst Enterprise in real time, and result tables in Starburst Enterprise sync back into Amazon Aurora, 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 Starburst Enterprise and keep Amazon Aurora focused on its operational workload.
Rows from Amazon Aurora land in Starburst Enterprise 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.
| Amazon Aurora objects | Starburst Enterprise objects | |
|---|---|---|
| Views Read-only query-backed sources for downstream syncs. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Views Engine-level SQL views used to shape federated data before syncing it out. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Materialized views Precomputed results that make repeated sync reads cheaper. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Columns Typed per the Trino type system, mapped from each source's native types. | |
| Databases Logical databases within a cluster that scope a sync connection. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Starburst Enterprise connection.
Changes in Amazon Aurora or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Starburst Enterprise record.
Track your Amazon Aurora ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora and Starburst Enterprise: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Views and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Starburst Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Starburst Enterprise integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Starburst Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. 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 Starburst Enterprise side: Schemas, Tables, Views, Materialized views, plus custom fields where Starburst Enterprise exposes them. On the Amazon Aurora side: Materialized Views, Columns and Data Types, Primary and Foreign Keys, Read Replicas. 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.
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 Amazon Aurora and Starburst Enterprise.