Two-way sync
Changes in Redis Enterprise or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Redis Enterprise and SQL Server 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 SQL Server 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 SQL Server, 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 | SQL Server objects | |
|---|---|---|
| Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | |
| JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | |
| Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | |
| Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Databases Instance-level databases that scope a sync's reads and writes. | |
| Lists Ordered sequences often used as lightweight queues fed by sync events. | Schemas Namespaces (dbo and custom) used to organize synced tables. | |
| Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Tables The primary sync target; rows map to records in connected systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Redis Enterprise–SQL Server connection.
Changes in Redis Enterprise or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Redis Enterprise or SQL Server 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 SQL Server record.
Track your Redis Enterprise ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Redis Enterprise and SQL Server.
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 SQL Server 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 SQL Server 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 SQL Server: authenticate both systems, choose the objects to sync (such as Redis Enterprise's Hashes and JSON documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Redis Enterprise and SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Redis Enterprise–SQL Server integration in-house.
Yes — Stacksync ships production-grade connectors for both Redis Enterprise and SQL Server. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. On SQL Server: SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Redis Enterprise side: Pub/Sub channels, Search indexes, Keys (Strings), Hashes, plus custom fields where Redis Enterprise exposes them. On the SQL Server side: Schemas, Tables, Views, Columns. 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.
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 SQL Server.