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Neo4j to Oracle DB integration — real-time, two-way sync

Keep Neo4j and Oracle DB 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 Oracle DB

Keep Neo4j and Oracle DB 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 Oracle DB 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 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
  • 02 Sync product catalog and order history into Neo4j to power recommendation queries.
  • 03 Keep legacy Oracle applications running while newer services read and write the same data through a synced copy.
  • 04 Write changes from SaaS apps back into Oracle so PL/SQL jobs and reports run on current data.

Common sync patterns

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 Oracle DB

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 Oracle DB objects How this pairing syncs
Labels Node type markers used to map source tables or objects onto the graph. PL/SQL procedures and packages In-database logic that can consume or transform synced data Labels is specific to Neo4j and PL/SQL procedures and packages to Oracle DB — 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. Partitions Physical subdivisions relevant when replicating high-volume tables Indexes & Constraints is specific to Neo4j and Partitions to Oracle DB — 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. JSON columns Document data stored in the converged engine and synced alongside relational rows Databases is specific to Neo4j and JSON columns to Oracle DB — 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 The primary read/write surface for row-level sync over SQL Users & Roles is specific to Neo4j and Tables to Oracle DB — 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. Views Curated read-only projections exposed to downstream consumers Nodes is specific to Neo4j and Views to Oracle DB — each maps to any object or custom field on the other side.
Relationships Typed, directed edges that carry the connections syncs exist to model. Materialized views Precomputed results occasionally used as stable replication sources Relationships is specific to Neo4j and Materialized views to Oracle DB — each maps to any object or custom field on the other side.

How changes propagate between Neo4j and Oracle DB

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 Oracle DB 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 Oracle DB as a row-level write, with types converted between the two schemas.

Oracle DB Neo4j Sub-second propagation

DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.

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

Rate-limit considerations

  • Oracle DB: Throughput bounded by database resources rather than API quotas.
What ships with Neo4j ⇄ Oracle DB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Neo4j or Oracle DB 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 Oracle DB record.

Observability

Monitoring

Track your Neo4j ⇄ Oracle DB 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 Oracle DB.

How the Neo4j and Oracle DB 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

Oracle DB

Integration surface
SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers
Authentication
database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups
Change detection
log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling
Capabilities
read · write · CDC
Rate limits
throughput bounded by database resources rather than API quotas
How it works

How to connect Neo4j to Oracle DB — 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 Neo4j and Oracle DB 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
    Neo4j connected
    Oracle DB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Neo4j and Oracle DB 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 · Neo4j ⇄ Oracle DB
    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
    Neo4j Oracle DB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Neo4j and Oracle DB 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 469 integrations available for Neo4j and Oracle DB.

Popular · 5 of 469
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