Real-time
Two-way sync
Changes in Google Cloud SQL or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Database
Google Cloud SQL to Redis Enterprise integration — real-time, two-way sync
Keep Google Cloud SQL 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Google Cloud SQL and Redis Enterprise
Keep Google Cloud SQL and Redis Enterprise synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Google Cloud SQL and Redis Enterprise continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
- 02 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
- 03 Hydrate session stores and feature stores from a warehouse or operational database on a schedule.
- 04 Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
Common sync patterns
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Google Cloud SQL and Redis Enterprise, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
What you can sync between Google Cloud SQL and Redis Enterprise
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 SQL objects | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Rows Read and written by primary key during each sync cycle. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Rows is specific to Google Cloud SQL and Hashes to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Views Read-only sources for shaping data before syncing it out. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Views is specific to Google Cloud SQL and JSON documents to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Transaction logs is specific to Google Cloud SQL and Sets to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Instances is specific to Google Cloud SQL and Sorted Sets to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Databases Scope the tables included in a sync configuration. | Lists Ordered sequences often used as lightweight queues fed by sync events. | Databases is specific to Google Cloud SQL and Lists to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables in PostgreSQL and SQL Server instances. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Schemas is specific to Google Cloud SQL and Streams to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between Google Cloud SQL and Redis Enterprise
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.
Google Cloud SQL Redis Enterprise Sub-second propagation
DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.
DeliveryEach detected change is applied to Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise Google Cloud SQL Interval-based propagation
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
DeliveryEach detected change is applied to Google Cloud SQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with Google Cloud SQL ⇄ Redis Enterprise
Connect Google Cloud SQL and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Google Cloud SQL or Redis Enterprise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Google Cloud SQL or Redis Enterprise record.
Observability
Monitoring
Track your Google Cloud SQL ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Google Cloud SQL and Redis Enterprise.
How the Google Cloud SQL and Redis Enterprise connectors work
Google Cloud SQL
- Integration surface
- Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
- Authentication
- Database credentials; IAM database authentication is available for MySQL and PostgreSQL
- Change detection
- Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- Constrained by instance size and connection limits rather than API quotas.
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect Google Cloud SQL to Redis Enterprise — three steps, no code
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.
- 01
Connect your apps
Authenticate Google Cloud SQL 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.
Google Cloud SQL
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Google Cloud SQL 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.
objects · Google Cloud SQL ⇄ Redis EnterpriseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Google Cloud SQL Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Google Cloud SQL and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Google Cloud SQL and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Google Cloud SQL's Rows and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Google Cloud SQL and Redis Enterprise: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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Google Cloud SQL: Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management. Authentication: Database credentials; IAM database authentication is available for MySQL and PostgreSQL. Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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Google Cloud SQL: The Cloud SQL Auth Proxy and language connectors provide IAM-authorized, encrypted connections without allowlisting IPs. Redis Enterprise: Keyspace notifications are delivered over pub/sub with no replay, so reliable change capture usually pairs them with Streams or periodic reconciliation. Stacksync's field mapping accounts for these differences between Google Cloud SQL and Redis Enterprise without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Google Cloud SQL and Redis Enterprise records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud SQL and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud SQL–Redis Enterprise integration in-house.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 365 integrations available for Google Cloud SQL and Redis Enterprise.
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