Real-time
Two-way sync
Changes in Neo4j or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Database
Neo4j to YugabyteDB integration — real-time, two-way sync
Keep Neo4j and YugabyteDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Neo4j and YugabyteDB
Keep Neo4j and YugabyteDB 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 YugabyteDB 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 a customer-360 graph continuously updated from ERP, CRM, and support sources.
- 02 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
- 03 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
- 04 Two-way sync between YugabyteDB application tables and a CRM so product data and account records stay consistent.
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 Neo4j and YugabyteDB, so each workload runs on the engine that suits it.
What you can sync between Neo4j and YugabyteDB
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 | YugabyteDB objects | How this pairing syncs | |
|---|---|---|---|
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | Properties is specific to Neo4j and Schemas to YugabyteDB — each maps to any object or custom field on the other side. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Sequences ID generation objects relevant when syncing writes into YSQL tables. | Labels is specific to Neo4j and Sequences to YugabyteDB — each maps to any object or custom field on the other side. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | CDC Streams Change streams over the storage-layer WAL consumed through logical replication or Debezium-compatible connectors. | Indexes & Constraints is specific to Neo4j and CDC Streams to YugabyteDB — each maps to any object or custom field on the other side. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. | Databases is specific to Neo4j and Databases and Keyspaces to YugabyteDB — each maps to any object or custom field on the other side. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Tables Distributed SQL tables split into tablets; the primary read and write targets. | Users & Roles is specific to Neo4j and Tables to YugabyteDB — each maps to any object or custom field on the other side. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Indexes Global secondary indexes maintained transactionally alongside table writes. | Nodes is specific to Neo4j and Indexes to YugabyteDB — each maps to any object or custom field on the other side. |
How changes propagate between Neo4j and YugabyteDB
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.
Neo4j YugabyteDB Sub-second propagation
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
DeliveryEach detected change is applied to YugabyteDB as a row-level write, with types converted between the two schemas.
YugabyteDB Neo4j Sub-second propagation
DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with Neo4j ⇄ YugabyteDB
Connect Neo4j and YugabyteDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–YugabyteDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or YugabyteDB 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 YugabyteDB record.
Observability
Monitoring
Track your Neo4j ⇄ YugabyteDB 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 YugabyteDB.
How the Neo4j and YugabyteDB 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
YugabyteDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
- Authentication
- Database credentials
- Change detection
- Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works
How to connect Neo4j to YugabyteDB — 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 YugabyteDB 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
YugabyteDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and YugabyteDB 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 ⇄ YugabyteDBCustomers 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 YugabyteDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and YugabyteDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and YugabyteDB: authenticate both systems, choose the objects to sync (such as Neo4j's Properties and Labels), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Neo4j and YugabyteDB. 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 Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. On YugabyteDB: Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors. 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 Neo4j side: Labels, Indexes & Constraints, Databases, Users & Roles, plus custom fields where Neo4j exposes them. On the YugabyteDB side: Tables, Indexes, Materialized Views, Schemas. 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.
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Common patterns for Neo4j and YugabyteDB: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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
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