Real-time
Two-way sync
Changes in MariaDB or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Database
MariaDB to Redis Enterprise integration — real-time, two-way sync
Keep MariaDB 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
Case study
Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect MariaDB and Redis Enterprise
Keep MariaDB 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 MariaDB 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 several MariaDB instances aligned with one system of record across environments
- 02 Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records
- 03 Cache CRM or ERP records into Redis hashes so applications read customer data with sub-millisecond in-memory latency instead of hitting SaaS APIs.
- 04 Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
Common sync patterns
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 MariaDB and Redis Enterprise, so each workload runs on the engine that suits it.
What you can sync between MariaDB 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.
| MariaDB objects | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map to records in connected systems. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Tables is specific to MariaDB and Hashes to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Views Read-side projections used as outbound sync sources. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Views is specific to MariaDB and JSON documents to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets with engine-typed values. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Columns is specific to MariaDB and Sets to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Primary and Unique Keys is specific to MariaDB and Sorted Sets to Redis Enterprise — each maps to any object or custom field on the other side. | |
| System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | Lists Ordered sequences often used as lightweight queues fed by sync events. | System-Versioned Tables is specific to MariaDB and Lists to Redis Enterprise — each maps to any object or custom field on the other side. | |
| JSON Columns Semi-structured payloads validated with JSON functions. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | JSON Columns is specific to MariaDB and Streams to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between MariaDB 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.
MariaDB Redis Enterprise Sub-second propagation
DetectionChanges in MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.
DeliveryEach detected change is applied to Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise MariaDB 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 MariaDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with MariaDB ⇄ Redis Enterprise
Connect MariaDB and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MariaDB 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 MariaDB or Redis Enterprise record.
Observability
Monitoring
Track your MariaDB ⇄ 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 MariaDB and Redis Enterprise.
How the MariaDB and Redis Enterprise connectors work
MariaDB
- Integration surface
- SQL wire protocol (MySQL-compatible client/server protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
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 MariaDB 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 MariaDB 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.
MariaDB
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MariaDB 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 · MariaDB ⇄ 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.
MariaDB Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MariaDB and Redis Enterprise integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MariaDB and Redis Enterprise: authenticate both systems, choose the objects to sync (such as MariaDB's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 MariaDB 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 MariaDB and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MariaDB–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both MariaDB and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. 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.
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On the MariaDB side: Stored Procedures, Databases (Schemas), Tables, Views, plus custom fields where MariaDB exposes them. On the Redis Enterprise side: Sets, Sorted Sets, Lists, Streams. Stacksync auto-detects both schemas and converts types between the two systems.
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 373 integrations available for MariaDB and Redis Enterprise.
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