Real-time
Two-way sync
Changes in Neo4j or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Database
Neo4j to Redis Enterprise integration — real-time, two-way sync
Keep Neo4j 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Neo4j and Redis Enterprise
Keep Neo4j 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 Neo4j 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
- Feed identity and access data into a graph for entitlement and blast-radius analysis.
- Write computed relationship scores (fraud, influence, similarity) back to operational systems.
- Hydrate session stores and feature stores from a warehouse or operational database on a schedule.
- Write counters and leaderboard state from sorted sets back to an operational database for durable reporting.
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.
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.
What you can sync between Neo4j 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.
| Neo4j objects | Redis Enterprise objects | |
|---|---|---|
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | |
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. |
What ships with Neo4j ⇄ Redis Enterprise
Connect Neo4j and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j 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 Neo4j or Redis Enterprise record.
Observability
Monitoring
Track your Neo4j ⇄ 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 Neo4j and Redis Enterprise.
How the Neo4j and Redis Enterprise connectors work
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- 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 Neo4j 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 Neo4j 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.
Neo4j
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j 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 · Neo4j ⇄ 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.
Neo4j Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Redis Enterprise integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Redis Enterprise: authenticate both systems, choose the objects to sync (such as Neo4j's Nodes and Relationships), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Neo4j and Redis Enterprise records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Redis Enterprise integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Neo4j and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. 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.
-
On the Neo4j side: Properties, Labels, Indexes & Constraints, Databases, plus custom fields where Neo4j 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.
SECURITY
Security teams love 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
CSA STAR
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 386 integrations available for Neo4j and Redis Enterprise.
Popular · 8 of 386
-
Neo4j ⇄ PostgreSQL -
Neo4j ⇄ Amazon RDS -
Neo4j ⇄ Supabase -
Neo4j ⇄ MySQL -
Redis Enterprise ⇄ MongoDB -
Redis Enterprise ⇄ CockroachDB -
Redis Enterprise ⇄ Google AlloyDB -
Redis Enterprise ⇄ Dynamo DB
No integrations match .
