Two-way sync
Changes in Neo4j or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Neo4j and YugabyteDB, so each workload runs on the engine that suits it.
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 | |
|---|---|---|
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Indexes Global secondary indexes maintained transactionally alongside table writes. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–YugabyteDB connection.
Changes in Neo4j or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or YugabyteDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Neo4j or YugabyteDB record.
Track your Neo4j ⇄ YugabyteDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and YugabyteDB.
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 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.
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.
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 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.
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.
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.
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.
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.
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 Neo4j and YugabyteDB.