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Database

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

Keep InfluxDB 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

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Why teams connect InfluxDB and Neo4j

Keep InfluxDB 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 InfluxDB 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

  • Replicate downsampled aggregates into a data warehouse for long-term BI beyond retention windows.
  • Feed alert-relevant thresholds and asset metadata from business systems into InfluxDB tags for richer queries.
  • Sync product catalog and order history into Neo4j to power recommendation queries.
  • Feed identity and access data into a graph for entitlement and blast-radius analysis.

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

What you can sync between InfluxDB 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.

InfluxDB objects Neo4j objects
Buckets / databases Named containers with retention settings that scope reads and writes. Labels Node type markers used to map source tables or objects onto the graph.
Measurements The table-like grouping for points, typically mapped to a synced dataset. Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast.
Points Individual time-stamped records, the unit of write via line protocol. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs.
Tags Indexed key-value metadata used for filtering and as sync partition keys. Users & Roles Security principals controlling what an integration credential can query or modify.
Fields The unindexed numeric or string values carried by each point. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes.
Retention policies Automatic expiry rules that determine how long synced history remains queryable. Relationships Typed, directed edges that carry the connections syncs exist to model.
What ships with InfluxDB ⇄ Neo4j

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever InfluxDB 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 InfluxDB or Neo4j record.

Observability

Monitoring

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

Trading partners

EDI

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

How the InfluxDB and Neo4j connectors work

InfluxDB

Integration surface
REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
Authentication
API token
Change detection
Polling with time-range queries; data is timestamped, so incremental reads use time cursors
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.

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

    Choose tables

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

InfluxDB and Neo4j integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for InfluxDB and Neo4j.

Popular · 8 of 386
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