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MarkLogic to Scaleway Postgres integration — real-time, two-way sync

Keep MarkLogic 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

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Why teams connect MarkLogic and Scaleway Postgres

Keep MarkLogic 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 MarkLogic 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

  • Land document data in relational warehouses by reading TDE views as SQL rows.
  • Write updates from operational systems back into the document hub to keep the canonical record current.
  • Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
  • Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications

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 MarkLogic and Scaleway Postgres, so each workload runs on the engine that suits it.

What you can sync between MarkLogic 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.

MarkLogic objects Scaleway Postgres objects
Documents JSON and XML documents, the primary records read from and written to the database. Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system.
Collections Named groupings used to scope which documents a sync reads or updates. Tables Primary sync unit; each table maps to an object or table on the other side of the sync.
Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. Views Read-only sources for shaping data before it leaves the database.
TDE Views Relational projections of documents that let syncs read document data as SQL rows. Materialized views Precomputed result sets that can be read on a schedule for downstream syncs.
Document Metadata & Properties Permissions, quality, and property fragments carried with each document. Schemas Namespace tables so multiple applications or environments can be synced selectively.
Databases & Forests Storage units that define the scope and placement of synced content. Sequences Generate primary keys; sync tooling must respect them when writing rows.
What ships with MarkLogic ⇄ Scaleway Postgres

Connect MarkLogic and Scaleway Postgres for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MarkLogic–Scaleway Postgres connection.

Real-time

Two-way sync

Changes in MarkLogic or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MarkLogic 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 MarkLogic or Scaleway Postgres record.

Observability

Monitoring

Track your MarkLogic ⇄ 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 MarkLogic and Scaleway Postgres.

How the MarkLogic and Scaleway Postgres connectors work

MarkLogic

Integration surface
REST API (Client API), plus SQL/ODBC access over TDE views and Java/Node client libraries
Authentication
Username/password (digest or basic), with certificate-based options
Change detection
No exposed transaction log; polling on document timestamps/metadata, or server-side triggers that record changes for pickup
Capabilities
read · write

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 MarkLogic 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.

  1. 01

    Connect your apps

    Authenticate MarkLogic 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    MarkLogic connected
    Scaleway Postgres connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the MarkLogic 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · MarkLogic ⇄ Scaleway Postgres
    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
    MarkLogic Scaleway Postgres
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

MarkLogic and Scaleway Postgres 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 MarkLogic and Scaleway Postgres.

Popular · 8 of 386
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