Skip to content
Database

CockroachDB to Neo4j integration — real-time, two-way sync

Keep CockroachDB and Neo4j 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 CockroachDB and Neo4j

Keep CockroachDB and Neo4j 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 CockroachDB and Neo4j 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 reference data consistent between CockroachDB and regional application databases.
  • 02 Consolidate data from several SaaS tools into one distributed SQL store that survives zone failures.
  • 03 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
  • 04 Sync product catalog and order history into Neo4j to power recommendation queries.

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 CockroachDB and Neo4j, so each workload runs on the engine that suits it.

What you can sync between CockroachDB and Neo4j

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.

CockroachDB objects Neo4j objects How this pairing syncs
Databases Logical containers a sync connects to, addressed like PostgreSQL databases. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Indexes Secondary indexes that keep sync lookup queries fast on key columns. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Indexes is specific to CockroachDB and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side.
Sequences ID generators that matter when writes originate from an external system. Users & Roles Security principals controlling what an integration credential can query or modify. Sequences is specific to CockroachDB and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
Changefeeds Built-in CDC streams that emit row-level changes to external sinks. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Changefeeds is specific to CockroachDB and Nodes to Neo4j — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to isolate synced tables from application tables. Relationships Typed, directed edges that carry the connections syncs exist to model. Schemas is specific to CockroachDB and Relationships to Neo4j — each maps to any object or custom field on the other side.
Tables The core read/write target; rows sync bi-directionally with SaaS objects or other databases. Properties Key-value attributes on both nodes and relationships, mapped from source fields. Tables is specific to CockroachDB and Properties to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between CockroachDB and Neo4j

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.

CockroachDB Neo4j Sub-second propagation

DetectionChanges in CockroachDB are captured at the source via change data capture — no polling loop against its API. CDC via changefeeds, which stream row-level changes.

DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.

Neo4j CockroachDB 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 CockroachDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • CockroachDB: No API rate limits in the SaaS sense; throughput is bounded by cluster capacity.
What ships with CockroachDB ⇄ Neo4j

Connect CockroachDB and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every CockroachDB–Neo4j connection.

Real-time

Two-way sync

Changes in CockroachDB or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever CockroachDB or Neo4j 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 CockroachDB or Neo4j record.

Observability

Monitoring

Track your CockroachDB ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between CockroachDB and Neo4j.

How the CockroachDB and Neo4j connectors work

CockroachDB

Integration surface
SQL wire protocol (PostgreSQL-compatible)
Authentication
Database credentials with TLS; client certificates or SCRAM password auth
Change detection
CDC via changefeeds, which stream row-level changes; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits in the SaaS sense; throughput is bounded by cluster capacity

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
How it works

How to connect CockroachDB to Neo4j — 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.

  1. 01

    Connect your apps

    Authenticate CockroachDB and Neo4j with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    CockroachDB connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the CockroachDB and Neo4j 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · CockroachDB ⇄ Neo4j
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    CockroachDB Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

CockroachDB and Neo4j integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 454 integrations available for CockroachDB and Neo4j.

Popular · 8 of 454
All CockroachDB integrations All Neo4j integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own