Real-time
Two-way sync
Changes in Elasticsearch or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Database
Elasticsearch to MarkLogic integration — real-time, two-way sync
Keep Elasticsearch 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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Migrated from Mulesoft
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Elasticsearch and MarkLogic
Keep Elasticsearch 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 Elasticsearch 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
- Feed enriched customer records into an index used for vector or hybrid search in AI applications.
- Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- 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 Elasticsearch and MarkLogic, so each workload runs on the engine that suits it.
What you can sync between Elasticsearch 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.
| Elasticsearch objects | MarkLogic objects | |
|---|---|---|
| Data streams Append-only targets for time-series or event data pushed from source systems. | Databases & Forests Storage units that define the scope and placement of synced content. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Users & Roles Security principals that govern what an integration credential can read or write. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Documents JSON and XML documents, the primary records read from and written to the database. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Collections Named groupings used to scope which documents a sync reads or updates. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | TDE Views Relational projections of documents that let syncs read document data as SQL rows. |
What ships with Elasticsearch ⇄ MarkLogic
Connect Elasticsearch and MarkLogic for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–MarkLogic connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or MarkLogic record.
Observability
Monitoring
Track your Elasticsearch ⇄ MarkLogic sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Elasticsearch and MarkLogic.
How the Elasticsearch and MarkLogic connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
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 Elasticsearch 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 Elasticsearch 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.
Elasticsearch
connected
MarkLogic
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch 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 · Elasticsearch ⇄ 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.
Elasticsearch MarkLogicCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and MarkLogic integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and MarkLogic: authenticate both systems, choose the objects to sync (such as Elasticsearch's Data streams and Ingest pipelines), 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 Elasticsearch and MarkLogic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–MarkLogic integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch 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 Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. 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 Elasticsearch side: Documents, Index mappings, Aliases, Data streams, plus custom fields where Elasticsearch exposes them. On the MarkLogic side: Semantic Triples, TDE Views, Document Metadata & Properties, Databases & Forests. 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 Elasticsearch and MarkLogic.
Popular · 8 of 386
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Elasticsearch ⇄ RavenDB -
Elasticsearch ⇄ Redis Enterprise -
Elasticsearch ⇄ SAP ASE (Sybase) -
Elasticsearch ⇄ Scaleway Postgres -
MarkLogic ⇄ Apache Cassandra -
MarkLogic ⇄ Azure Cosmos DB -
MarkLogic ⇄ Azure SQL Database -
MarkLogic ⇄ Citus
No integrations match .
