Two-way sync
Changes in Google Cloud Spanner or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Spanner 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 Cloud Spanner'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 Cloud Spanner 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 Cloud Spanner sync into Starburst Enterprise in real time, and result tables in Starburst Enterprise sync back into Google Cloud Spanner, 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 Google Cloud Spanner focused on its operational workload.
Rows from Google Cloud Spanner 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.
| Google Cloud Spanner objects | Starburst Enterprise objects | |
|---|---|---|
| Change streams Capture inserts, updates, and deletes for log-style change data capture. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| Views Read-only projections useful for shaping data before it leaves Spanner. | Views Engine-level SQL views used to shape federated data before syncing it out. | |
| Databases Top-level containers that scope schema and sync configuration. | Materialized views Precomputed results that make repeated sync reads cheaper. | |
| Tables Relational tables mapped one-to-one to sync targets. | Columns Typed per the Trino type system, mapped from each source's native types. | |
| Rows The unit of read and write in each sync cycle, keyed by primary key. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. | |
| Interleaved tables Child rows physically co-located with parents; synced as related records. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Spanner–Starburst Enterprise connection.
Changes in Google Cloud Spanner or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Spanner 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 Cloud Spanner or Starburst Enterprise record.
Track your Google Cloud Spanner ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Spanner 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 Cloud Spanner 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 Cloud Spanner 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 Cloud Spanner and Starburst Enterprise: authenticate both systems, choose the objects to sync (such as Google Cloud Spanner's Change streams and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. 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 Google Cloud Spanner side: Databases, Tables, Rows, Interleaved tables. 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 Cloud Spanner and Starburst Enterprise: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Google Cloud Spanner: GRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects). Authentication: Google Cloud IAM (service accounts). 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 Google Cloud Spanner and Starburst Enterprise.