Real-time
Two-way sync
Changes in AWS Aurora MySQL or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Database
AWS Aurora MySQL to Redis Enterprise integration — real-time, two-way sync
Keep AWS Aurora MySQL 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora MySQL and Redis Enterprise
Keep AWS Aurora MySQL 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 AWS Aurora MySQL 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 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- 02 Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
- 03 Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
- 04 Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
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 AWS Aurora MySQL 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 AWS Aurora MySQL 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.
| AWS Aurora MySQL objects | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Views Can serve as read-only sync sources for derived or filtered datasets. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Views is specific to AWS Aurora MySQL and Sets to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Foreign keys is specific to AWS Aurora MySQL and Sorted Sets to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Lists Ordered sequences often used as lightweight queues fed by sync events. | Stored procedures and triggers is specific to AWS Aurora MySQL and Lists to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Databases (schemas) is specific to AWS Aurora MySQL and Streams to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Tables is specific to AWS Aurora MySQL and Pub/Sub channels to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Rows is specific to AWS Aurora MySQL and Search indexes to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL 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.
AWS Aurora MySQL Redis Enterprise Sub-second propagation
DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
DeliveryEach detected change is applied to Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise AWS Aurora MySQL 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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with AWS Aurora MySQL ⇄ Redis Enterprise
Connect AWS Aurora MySQL and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Redis Enterprise record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ 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 AWS Aurora MySQL and Redis Enterprise.
How the AWS Aurora MySQL and Redis Enterprise connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
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 AWS Aurora MySQL 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 AWS Aurora MySQL 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.
AWS Aurora MySQL
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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 · AWS Aurora MySQL ⇄ 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.
AWS Aurora MySQL Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Redis Enterprise integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Redis Enterprise: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Views and Foreign keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the AWS Aurora MySQL side: Primary keys and indexes, Views, Foreign keys, Stored procedures and triggers, plus custom fields where AWS Aurora MySQL 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.
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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.
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Common patterns for AWS Aurora MySQL 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.
-
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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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AWS Aurora MySQL: Read replicas share the cluster storage volume, letting syncs read from a replica endpoint without adding load to the writer. Redis Enterprise: Redis Enterprise adds clustering, tiered storage, and Active-Active geo-replication (CRDT-based) on top of open-source Redis. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Redis Enterprise without custom code.
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 380 integrations available for AWS Aurora MySQL and Redis Enterprise.
Popular · 4 of 380
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AWS Aurora MySQL ⇄ Dynamo DB -
AWS Aurora MySQL ⇄ IBM Db2 -
AWS Aurora MySQL ⇄ Firebase -
AWS Aurora MySQL ⇄ SingleStore
No integrations match .
