Two-way sync
Changes in AWS Aurora PostgreSQL or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL'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 AWS Aurora PostgreSQL where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in AWS Aurora PostgreSQL sync into Starburst Enterprise in real time, and result tables in Starburst Enterprise sync back into AWS Aurora PostgreSQL, with schema and type mapping between the two systems handled for you.
Rows from AWS Aurora PostgreSQL land in Starburst Enterprise as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Starburst Enterprise sync into AWS Aurora PostgreSQL, 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.
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.
| AWS Aurora PostgreSQL objects | Starburst Enterprise objects | |
|---|---|---|
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Columns Typed per the Trino type system, mapped from each source's native types. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Views Engine-level SQL views used to shape federated data before syncing it out. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Materialized views Precomputed results that make repeated sync reads cheaper. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Starburst Enterprise connection.
Changes in AWS Aurora PostgreSQL or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Starburst Enterprise record.
Track your AWS Aurora PostgreSQL ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Starburst Enterprise: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Foreign keys and Replication slots and publications), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Starburst Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp 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: Views, Materialized views, Columns, Catalogs, plus custom fields where Starburst Enterprise exposes them. On the AWS Aurora PostgreSQL side: Tables, Rows, Columns, Primary keys and constraints. 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 AWS Aurora PostgreSQL and Starburst Enterprise: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from AWS Aurora PostgreSQL land in Starburst Enterprise as they change, replacing hand-built CDC and batch extract jobs.
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 AWS Aurora PostgreSQL and Starburst Enterprise.