Real-time
Two-way sync
Changes in Citus or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Database
Citus to MarkLogic integration — real-time, two-way sync
Keep Citus 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
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 Citus and MarkLogic
Keep Citus 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 Citus 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
- Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
- Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
- 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.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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.
What you can sync between Citus 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.
| Citus objects | MarkLogic objects | |
|---|---|---|
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Users & Roles Security principals that govern what an integration credential can read or write. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Documents JSON and XML documents, the primary records read from and written to the database. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Collections Named groupings used to scope which documents a sync reads or updates. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | TDE Views Relational projections of documents that let syncs read document data as SQL rows. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Document Metadata & Properties Permissions, quality, and property fragments carried with each document. |
What ships with Citus ⇄ MarkLogic
Connect Citus and MarkLogic for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–MarkLogic connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or MarkLogic record.
Observability
Monitoring
Track your Citus ⇄ MarkLogic sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and MarkLogic.
How the Citus and MarkLogic connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
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 Citus 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.
- 01
Connect your apps
Authenticate Citus 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.
Citus
connected
MarkLogic
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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.
objects · Citus ⇄ MarkLogicCustomers 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.
Citus MarkLogicCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and MarkLogic integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Citus and MarkLogic: authenticate both systems, choose the objects to sync (such as Citus's Local tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and MarkLogic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–MarkLogic integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and MarkLogic. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On MarkLogic: No exposed transaction log; polling on document timestamps/metadata, or server-side triggers that record changes for pickup. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Citus side: Sequences, Distributed tables, Reference tables, Local tables, plus custom fields where Citus exposes them. On the MarkLogic side: Collections, Semantic Triples, TDE Views, Document Metadata & Properties. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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 Citus and MarkLogic.
Popular · 8 of 386
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Citus ⇄ Apache Cassandra -
Citus ⇄ Azure Cosmos DB -
Citus ⇄ Azure SQL Database -
Citus ⇄ Couchbase -
MarkLogic ⇄ MariaDB -
MarkLogic ⇄ SQL Server -
MarkLogic ⇄ Postgres Heroku -
MarkLogic ⇄ Airtable
No integrations match .
