Real-time
Two-way sync
Changes in Dremio or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Dremio to RavenDB integration — real-time, two-way sync
Keep Dremio and RavenDB 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
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Dremio and RavenDB
Connect RavenDB 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 RavenDB'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 RavenDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in RavenDB sync into Dremio in real time, and result tables in Dremio sync back into RavenDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- Stream RavenDB document changes into Postgres or a warehouse via data subscriptions for SQL analytics.
- Sync operational documents such as orders and profiles between RavenDB and a CRM so business teams see application data.
Offload heavy reads
Point analytical queries at the synced copy in Dremio and keep RavenDB focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from RavenDB 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 RavenDB, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Dremio and RavenDB
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 | RavenDB objects | |
|---|---|---|
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Documents JSON records, the primary unit read and written during sync | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Collections Groupings of documents by type, mapped to tables in relational targets | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Indexes Static and auto indexes used to query documents for filtered reads | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Attachments Binary payloads stored with documents, handled separately from the JSON body | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Revisions Historical versions of documents, useful for audit-oriented replication | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Counters Numeric values attached to documents that change independently of the document body |
What ships with Dremio ⇄ RavenDB
Connect Dremio and RavenDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–RavenDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio or RavenDB 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 RavenDB record.
Observability
Monitoring
Track your Dremio ⇄ RavenDB 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 RavenDB.
How the Dremio and RavenDB 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
RavenDB
- Integration surface
- HTTP REST API with official clients (.NET, Java, Node.js, Python, and others)
- Authentication
- X.509 client certificates on secured servers, instead of username and password
- Change detection
- data subscriptions and the Changes API provide server-pushed change feeds
- Capabilities
- read · write · CDC
- Rate limits
- throughput bounded by cluster resources rather than API quotas
How it works
How to connect Dremio to RavenDB — 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 RavenDB 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
RavenDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio and RavenDB 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 ⇄ RavenDBCustomers 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 RavenDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and RavenDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and RavenDB: authenticate both systems, choose the objects to sync (such as Dremio's Sources and Physical datasets), 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 RavenDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dremio–RavenDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Dremio and RavenDB. 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 RavenDB: Data subscriptions and the Changes API provide server-pushed change feeds. 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: Jobs, Sources, Physical datasets, Virtual datasets (views), plus custom fields where Dremio exposes them. On the RavenDB side: Time series, Data subscriptions, Documents, Collections. 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 RavenDB.
Popular · 8 of 386
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Dremio ⇄ PostgreSQL -
Dremio ⇄ Amazon RDS -
Dremio ⇄ Supabase -
Dremio ⇄ MySQL -
RavenDB ⇄ Yellowbrick -
RavenDB ⇄ Snowflake -
RavenDB ⇄ BigQuery -
RavenDB ⇄ MotherDuck
No integrations match .
