Two-way sync
Changes in Google AlloyDB or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Google AlloyDB 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 Google AlloyDB'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 Google AlloyDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Google AlloyDB sync into Starburst Enterprise in real time, and result tables in Starburst Enterprise sync back into Google AlloyDB, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Starburst Enterprise sync into Google AlloyDB, 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.
Point analytical queries at the synced copy in Starburst Enterprise and keep Google AlloyDB focused on its operational workload.
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.
| Google AlloyDB objects | Starburst Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to separate synced SaaS data from application tables. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Primary read/write target for bi-directional sync with CRMs and other systems. | Tables Queryable relations; writes pass through to sources whose connectors support them. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Curated projections used as read-only sync sources. | Views Engine-level SQL views used to shape federated data before syncing it out. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Materialized views Precomputed results that make repeated sync reads cheaper. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Sequences ID generation relevant when external systems insert rows. | Columns Typed per the Trino type system, mapped from each source's native types. | Sequences is specific to Google AlloyDB and Columns to Starburst Enterprise — each maps to any object or custom field on the other side. | |
| Replication Slots Logical replication artifacts that back log-based change capture. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | Replication Slots is specific to Google AlloyDB and Catalogs to Starburst Enterprise — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is applied to Starburst Enterprise as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Starburst Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.
DeliveryEach detected change is applied to Google AlloyDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google AlloyDB–Starburst Enterprise connection.
Changes in Google AlloyDB or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google AlloyDB 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 Google AlloyDB or Starburst Enterprise record.
Track your Google AlloyDB ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google AlloyDB 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 Google AlloyDB 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 Google AlloyDB 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 Google AlloyDB and Starburst Enterprise: authenticate both systems, choose the objects to sync (such as Google AlloyDB'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 Google AlloyDB and Starburst Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns 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: Columns, Catalogs, Schemas, Tables, plus custom fields where Starburst Enterprise exposes them. On the Google AlloyDB side: Views, Materialized Views, Indexes, Sequences. 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 Google AlloyDB and Starburst Enterprise: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Starburst Enterprise sync into Google AlloyDB, where whatever reads from that database gets them without querying the warehouse.
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 379 integrations available for Google AlloyDB and Starburst Enterprise.