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Apache Cassandra to MarkLogic integration — real-time, two-way sync

Keep Apache Cassandra and MarkLogic 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 Apache Cassandra and MarkLogic

Keep Apache Cassandra and MarkLogic 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 Apache Cassandra and MarkLogic 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 high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
  • Write updates from operational systems back into the document hub to keep the canonical record current.
  • Keep reference datasets and semantically linked entities aligned across downstream 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 Apache Cassandra and MarkLogic, so each workload runs on the engine that suits it.

What you can sync between Apache Cassandra and MarkLogic

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.

Apache Cassandra objects MarkLogic objects
User-Defined Types Composite column types that syncs must flatten or map to structured fields. TDE Views Relational projections of documents that let syncs read document data as SQL rows.
Collections List, set, and map columns handled with type-aware field mapping. Document Metadata & Properties Permissions, quality, and property fragments carried with each document.
Counters Increment-only counter columns, usually read-only in syncs. Databases & Forests Storage units that define the scope and placement of synced content.
Keyspaces Top-level namespaces with replication settings that scope a sync connection. Users & Roles Security principals that govern what an integration credential can read or write.
Tables Wide-column tables addressed by partition key, the unit of row-level sync. Documents JSON and XML documents, the primary records read from and written to the database.
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Collections Named groupings used to scope which documents a sync reads or updates.
What ships with Apache Cassandra ⇄ MarkLogic

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or MarkLogic 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 Apache Cassandra or MarkLogic record.

Observability

Monitoring

Track your Apache Cassandra ⇄ MarkLogic sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and MarkLogic.

How the Apache Cassandra and MarkLogic connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

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
How it works

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

    Choose tables

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

Apache Cassandra and MarkLogic 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 Apache Cassandra and MarkLogic.

Popular · 8 of 386
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