Real-time
Two-way sync
Changes in Dremio or MarkLogic instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to MarkLogic integration — real-time, two-way sync
Keep Dremio 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 Dremio and MarkLogic
Connect MarkLogic and Dremio 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 Dremio, 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 Dremio in real time, and result tables in Dremio sync back into MarkLogic, with schema and type mapping between the two systems handled for you.
Common use cases
- Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- Keep reference datasets and semantically linked entities aligned across downstream applications.
- Feed harmonized entities into search and analytics applications as documents change.
Operational data in the warehouse, minus the pipeline
Rows from MarkLogic land in Dremio as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Dremio sync into MarkLogic, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
What you can sync between Dremio 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.
| Dremio objects | MarkLogic objects | |
|---|---|---|
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Collections Named groupings used to scope which documents a sync reads or updates. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Semantic Triples RDF data stored alongside documents, queryable with SPARQL for linked-data syncs. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | TDE Views Relational projections of documents that let syncs read document data as SQL rows. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Document Metadata & Properties Permissions, quality, and property fragments carried with each document. | |
| Jobs Query execution records useful for monitoring sync workloads. | Databases & Forests Storage units that define the scope and placement of synced content. | |
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Users & Roles Security principals that govern what an integration credential can read or write. |
What ships with Dremio ⇄ MarkLogic
Connect Dremio and MarkLogic for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–MarkLogic connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or MarkLogic record.
Observability
Monitoring
Track your Dremio ⇄ MarkLogic sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Dremio and MarkLogic.
How the Dremio and MarkLogic connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
MarkLogic
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio MarkLogicCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and MarkLogic integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and MarkLogic: authenticate both systems, choose the objects to sync (such as Dremio's Virtual datasets (views) and Apache Iceberg tables), 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 Dremio and MarkLogic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–MarkLogic integration in-house.
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Yes — Stacksync ships production-grade connectors for both Dremio 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 Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. 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 Dremio side: Reflections, Jobs, Sources, Physical datasets, plus custom fields where Dremio 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 Dremio and MarkLogic.
Popular · 8 of 386
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Dremio ⇄ Scaleway Postgres -
Dremio ⇄ TiDB -
Dremio ⇄ TimescaleDB -
Dremio ⇄ VoltDB -
MarkLogic ⇄ Firebolt -
MarkLogic ⇄ Google Cloud Platform -
MarkLogic ⇄ Greenplum -
MarkLogic ⇄ IBM Netezza
No integrations match .
