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IBM Db2 to Neo4j integration — real-time, two-way sync

Keep IBM Db2 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.

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Why teams connect IBM Db2 and Neo4j

Keep IBM Db2 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 IBM Db2 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 Replicate Db2 tables into a cloud warehouse continuously instead of nightly batch extracts.
  • 02 Keep reference and master data aligned between Db2 and newer cloud databases during modernization projects.
  • 03 Write computed relationship scores (fraud, influence, similarity) back to operational systems.
  • 04 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.

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 IBM Db2 and Neo4j, so each workload runs on the engine that suits it.

What you can sync between IBM Db2 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.

IBM Db2 objects Neo4j objects How this pairing syncs
Databases The connection target; each database holds the schemas a sync addresses. 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 Support fast key lookups on sync match columns. Users & Roles Security principals controlling what an integration credential can query or modify. Indexes is specific to IBM Db2 and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
Stored Procedures Existing business logic sometimes invoked as part of write paths. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Stored Procedures is specific to IBM Db2 and Nodes to Neo4j — each maps to any object or custom field on the other side.
Sequences ID generation relevant when external systems insert rows. Relationships Typed, directed edges that carry the connections syncs exist to model. Sequences is specific to IBM Db2 and Relationships to Neo4j — each maps to any object or custom field on the other side.
Tablespaces Physical storage layout that operators consider when adding synced tables. Properties Key-value attributes on both nodes and relationships, mapped from source fields. Tablespaces is specific to IBM Db2 and Properties to Neo4j — each maps to any object or custom field on the other side.
Schemas Namespaces separating synced data from application and system objects. Labels Node type markers used to map source tables or objects onto the graph. Schemas is specific to IBM Db2 and Labels to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between IBM Db2 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.

IBM Db2 Neo4j Sub-second propagation

DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.

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

Neo4j IBM Db2 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 IBM Db2 as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • IBM Db2: No API rate limits; throughput is bounded by instance resources and workload management settings.
What ships with IBM Db2 ⇄ Neo4j

Connect IBM Db2 and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Db2–Neo4j connection.

Real-time

Two-way sync

Changes in IBM Db2 or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IBM Db2 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 IBM Db2 or Neo4j record.

Observability

Monitoring

Track your IBM Db2 ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between IBM Db2 and Neo4j.

How the IBM Db2 and Neo4j connectors work

IBM Db2

Integration surface
SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions
Authentication
Database credentials, typically backed by OS or LDAP authentication
Change detection
Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by instance resources and workload management settings

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 IBM Db2 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 IBM Db2 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
    IBM Db2 connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the IBM Db2 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 · IBM Db2 ⇄ 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
    IBM Db2 Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

IBM Db2 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 463 integrations available for IBM Db2 and Neo4j.

Popular · 5 of 463
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