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Database ⇄ Data warehouse

MarkLogic to Materialize integration — real-time, two-way sync

Keep MarkLogic and Materialize 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 Materialize

Connect MarkLogic and Materialize with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want MarkLogic's rows in Materialize, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in MarkLogic where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in MarkLogic sync into Materialize in real time, and result tables in Materialize sync back into MarkLogic, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Read computed view results back into a CRM or application database as derived fields.
  • 02 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
  • 03 Sync curated master data from a MarkLogic data hub into operational CRMs and ERPs.
  • 04 Land document data in relational warehouses by reading TDE views as SQL rows.

Common sync patterns

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Materialize and keep MarkLogic focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from MarkLogic land in Materialize as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between MarkLogic and Materialize

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 Materialize objects How this pairing syncs
Databases & Forests Storage units that define the scope and placement of synced content. Clusters Compute pools that isolate ingestion, view maintenance, and serving. Databases & Forests is specific to MarkLogic and Clusters to Materialize — each maps to any object or custom field on the other side.
Users & Roles Security principals that govern what an integration credential can read or write. Connections & Secrets Stored credentials and endpoints used by sources and sinks. Users & Roles is specific to MarkLogic and Connections & Secrets to Materialize — each maps to any object or custom field on the other side.
Documents JSON and XML documents, the primary records read from and written to the database. Schemas & Databases Namespaces that organize objects a sync targets. Documents is specific to MarkLogic and Schemas & Databases to Materialize — each maps to any object or custom field on the other side.
Collections Named groupings used to scope which documents a sync reads or updates. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. Collections is specific to MarkLogic and Tables to Materialize — each maps to any object or custom field on the other side.
Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. Semantic Triples is specific to MarkLogic and Sources to Materialize — each maps to any object or custom field on the other side.
TDE Views Relational projections of documents that let syncs read document data as SQL rows. Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. TDE Views is specific to MarkLogic and Materialized Views to Materialize — each maps to any object or custom field on the other side.

How changes propagate between MarkLogic and Materialize

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.

MarkLogic Materialize Interval-based propagation

DetectionStacksync polls MarkLogic for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction log.

DeliveryEach detected change is applied to Materialize as a row-level write, with types converted between the two schemas.

Materialize MarkLogic Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

DeliveryEach detected change is applied to MarkLogic as a row-level write, with types converted between the two schemas.

What ships with MarkLogic ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MarkLogic or Materialize 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 Materialize record.

Observability

Monitoring

Track your MarkLogic ⇄ Materialize 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 Materialize.

How the MarkLogic and Materialize 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

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

How to connect MarkLogic to Materialize — 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 Materialize 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
    Materialize connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the MarkLogic and Materialize 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 ⇄ Materialize
    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 Materialize
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

MarkLogic and Materialize 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
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 390 integrations available for MarkLogic and Materialize.

Popular · 8 of 390
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