Two-way sync
Changes in Amazon Redshift or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Google Cloud Spanner 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 Amazon Redshift, 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 Amazon Redshift in real time, and result tables in Amazon Redshift sync back into Google Cloud Spanner, with schema and type mapping between the two systems handled for you.
Rows from Google Cloud Spanner land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Amazon Redshift sync into Google Cloud Spanner, 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.
| Amazon Redshift objects | Google Cloud Spanner objects | |
|---|---|---|
| Databases Top-level containers within a cluster or serverless workgroup. | Rows The unit of read and write in each sync cycle, keyed by primary key. | |
| Schemas Namespaces used to organize synced tables and control grants. | Interleaved tables Child rows physically co-located with parents; synced as related records. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | |
| Views SQL views readable as modeled sources for reverse syncs. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Views Read-only projections useful for shaping data before it leaves Spanner. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Databases Top-level containers that scope schema and sync configuration. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Google Cloud Spanner connection.
Changes in Amazon Redshift or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Google Cloud Spanner 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 Redshift or Google Cloud Spanner record.
Track your Amazon Redshift ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Google Cloud Spanner.
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 Redshift and Google Cloud Spanner 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 Redshift and Google Cloud Spanner 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 Redshift and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon Redshift and Google Cloud Spanner. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. On Google Cloud Spanner: Change streams (log-style CDC), or timestamp-based polling queries. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Redshift side: Views, Materialized Views, External Tables (Spectrum), Stored Procedures, plus custom fields where Amazon Redshift exposes them. On the Google Cloud Spanner side: Rows, Interleaved tables, Secondary indexes, Change streams. 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 Amazon Redshift and Google Cloud Spanner: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Google Cloud Spanner land in Amazon Redshift 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 Amazon Redshift and Google Cloud Spanner.