Two-way sync
Changes in MongoDB or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep MongoDB 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.
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 MongoDB 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.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both MongoDB and Redis Enterprise, 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.
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.
| MongoDB objects | Redis Enterprise objects | |
|---|---|---|
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Indexes Keep lookups by sync key fast on large collections. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Lists Ordered sequences often used as lightweight queues fed by sync events. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | |
| Databases Logical groupings of collections that scope a sync connection. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–Redis Enterprise connection.
Changes in MongoDB or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MongoDB or Redis Enterprise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MongoDB or Redis Enterprise record.
Track your MongoDB ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MongoDB and Redis Enterprise.
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 MongoDB 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.
Pick the MongoDB 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.
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 MongoDB and Redis Enterprise: authenticate both systems, choose the objects to sync (such as MongoDB's Embedded documents and arrays and Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the MongoDB side: Views, Change streams, GridFS files, Databases, plus custom fields where MongoDB exposes them. On the Redis Enterprise side: Lists, Streams, Pub/Sub channels, Search indexes. 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 MongoDB 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.
MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. 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.
MongoDB: Change streams expose ordered change events with resume tokens, so an interrupted sync can pick up exactly where it stopped without a full re-read. 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 MongoDB and Redis Enterprise 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 MongoDB and Redis Enterprise.