Real-time
Two-way sync
Changes in Neo4j or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Database
Neo4j to Scaleway Postgres integration — real-time, two-way sync
Keep Neo4j and Scaleway Postgres 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 Neo4j and Scaleway Postgres
Keep Neo4j and Scaleway Postgres 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 Scaleway Postgres 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
- 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.
- Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
- Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
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 Neo4j and Scaleway Postgres, so each workload runs on the engine that suits it.
What you can sync between Neo4j and Scaleway Postgres
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 | Scaleway Postgres objects | |
|---|---|---|
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | |
| Labels Node type markers used to map source tables or objects onto the graph. | Views Read-only sources for shaping data before it leaves the database. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. |
What ships with Neo4j ⇄ Scaleway Postgres
Connect Neo4j and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Neo4j or Scaleway Postgres 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 Scaleway Postgres record.
Observability
Monitoring
Track your Neo4j ⇄ Scaleway Postgres 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 Scaleway Postgres.
How the Neo4j and Scaleway Postgres 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
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Neo4j to Scaleway Postgres — 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.
- 01
Connect your apps
Authenticate Neo4j and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Neo4j
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Neo4j and Scaleway Postgres 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.
objects · Neo4j ⇄ Scaleway PostgresCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Neo4j Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Neo4j and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Neo4j and Scaleway Postgres: 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.
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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.
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Common patterns for Neo4j and Scaleway Postgres: 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.
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Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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Neo4j: Client drivers connect over the Bolt binary protocol rather than HTTP for query workloads. Scaleway Postgres: It runs the standard PostgreSQL engine, so ordinary Postgres drivers, ORMs, and SQL tooling work unmodified; managed-service restrictions apply to some server-level features. Stacksync's field mapping accounts for these differences between Neo4j and Scaleway Postgres without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Neo4j and Scaleway Postgres records are not retained after a sync operation.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Neo4j and Scaleway Postgres.
Popular · 8 of 386
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Neo4j ⇄ IBM Db2 -
Neo4j ⇄ Firebase -
Neo4j ⇄ SingleStore -
Neo4j ⇄ Amazon Aurora -
Scaleway Postgres ⇄ Oracle DB -
Scaleway Postgres ⇄ RavenDB -
Scaleway Postgres ⇄ Redis Enterprise -
Scaleway Postgres ⇄ SAP ASE (Sybase)
No integrations match .
