Two-way sync
Changes in Google Cloud Platform or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform and Redis 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 Redis Enterprise's rows in Google Cloud Platform, 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 Redis Enterprise where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Redis Enterprise sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into Redis Enterprise, with schema and type mapping between the two systems handled for you.
Rows from Redis Enterprise land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Google Cloud Platform sync into Redis Enterprise, 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.
| Google Cloud Platform objects | Redis Enterprise objects | |
|---|---|---|
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Redis Enterprise connection.
Changes in Google Cloud Platform or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or Redis 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 Platform or Redis Enterprise record.
Track your Google Cloud Platform ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and Redis 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 Platform and Redis 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 Platform and Redis 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 Platform and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Pub/Sub topics and Firestore documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. On Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud Platform side: Firestore documents, Spanner tables, BigQuery datasets, BigQuery tables, plus custom fields where Google Cloud Platform exposes them. On the Redis Enterprise side: Sorted Sets, Lists, Streams, Pub/Sub channels. 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 Platform and Redis Enterprise: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Redis Enterprise land in Google Cloud Platform 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 Google Cloud Platform and Redis Enterprise.