Two-way sync
Changes in Redis Enterprise or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep Redis Enterprise and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Redis Enterprise and SingleStore 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.
Keep the same dataset live in both Redis Enterprise and SingleStore, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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.
| Redis Enterprise objects | SingleStore objects | |
|---|---|---|
| Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | |
| Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | |
| Lists Ordered sequences often used as lightweight queues fed by sync events. | Stored Procedures Existing logic sometimes invoked on write paths. | |
| Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Indexes and Shard Keys Determine data distribution and lookup speed for sync match keys. | |
| Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Databases The connection target containing the tables a sync addresses. | |
| Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Redis Enterprise–SingleStore connection.
Changes in Redis Enterprise or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Redis Enterprise or SingleStore data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Redis Enterprise or SingleStore record.
Track your Redis Enterprise ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Redis Enterprise and SingleStore.
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 Redis Enterprise and SingleStore 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 Redis Enterprise and SingleStore 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 Redis Enterprise and SingleStore: authenticate both systems, choose the objects to sync (such as Redis Enterprise's Sets and Sorted Sets), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Redis Enterprise side: Sets, Sorted Sets, Lists, Streams, plus custom fields where Redis Enterprise exposes them. On the SingleStore side: Reference Tables, Pipelines, Stored Procedures, Indexes and Shard Keys. 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 Redis Enterprise and SingleStore: Cross-engine sync; Migration with zero-downtime cutover; Shared reference data between services. Keep the same dataset live in both Redis Enterprise and SingleStore, so each workload runs on the engine that suits it.
Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. SingleStore: SQL over the MySQL wire protocol; an HTTP Data API is also available for SQL over REST. Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Redis Enterprise: Data structures are typed server-side (hashes, sets, sorted sets, streams), so sync mappings target a structure and key convention rather than tables and columns. SingleStore: SingleStore is compatible with the MySQL wire protocol, so standard MySQL drivers and clients connect without modification. Stacksync's field mapping accounts for these differences between Redis Enterprise and SingleStore without custom code.
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 Redis Enterprise and SingleStore.