Real-time
Two-way sync
Changes in Databricks or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Database
Databricks to RavenDB integration — real-time, two-way sync
Keep Databricks 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
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Why teams connect Databricks and RavenDB
Connect RavenDB and Databricks 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 Databricks, 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 Databricks in real time, and result tables in Databricks sync back into RavenDB, with schema and type mapping between the two systems handled for you.
Common use cases
- Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
- Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
- Sync operational documents such as orders and profiles between RavenDB and a CRM so business teams see application data.
- Mirror reference data from relational systems into RavenDB collections that serve application reads.
Operational data in the warehouse, minus the pipeline
Rows from RavenDB land in Databricks as they change, replacing hand-built CDC and batch extract jobs.
Serve warehouse results at database speed
Aggregates or model outputs computed in Databricks sync into RavenDB, 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 Databricks 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.
| Databricks objects | RavenDB objects | |
|---|---|---|
| Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | Documents JSON records, the primary unit read and written during sync | |
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Collections Groupings of documents by type, mapped to tables in relational targets | |
| Delta Tables The primary read and write target; operational data lands here as managed or external tables. | Indexes Static and auto indexes used to query documents for filtered reads | |
| Views Curated read-only projections used as sync sources for downstream tools. | Attachments Binary payloads stored with documents, handled separately from the JSON body | |
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Revisions Historical versions of documents, useful for audit-oriented replication | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Counters Numeric values attached to documents that change independently of the document body |
What ships with Databricks ⇄ RavenDB
Connect Databricks and RavenDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–RavenDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Databricks 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 Databricks or RavenDB record.
Observability
Monitoring
Track your Databricks ⇄ RavenDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Databricks and RavenDB.
How the Databricks and RavenDB connectors work
Databricks
- Integration surface
- SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
- Authentication
- Personal access tokens or OAuth machine-to-machine credentials for service principals
- Change detection
- Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
- Capabilities
- read · write · CDC
- Rate limits
- Throughput depends on the SQL warehouse size; API calls are subject to workspace 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 Databricks 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 Databricks 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.
Databricks
connected
RavenDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Databricks 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 · Databricks ⇄ 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.
Databricks RavenDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Databricks and RavenDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Databricks and RavenDB: authenticate both systems, choose the objects to sync (such as Databricks's Catalogs and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Databricks: SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution. Authentication: Personal access tokens or OAuth machine-to-machine credentials for service principals. RavenDB: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Databricks: Delta Lake's Change Data Feed records row-level inserts, updates, and deletes, enabling incremental sync without full scans. RavenDB: Secured RavenDB servers authenticate clients with X.509 certificates rather than passwords, so connection setup involves certificate management. Stacksync's field mapping accounts for these differences between Databricks and RavenDB without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Databricks and RavenDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Databricks and RavenDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Databricks–RavenDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Databricks and RavenDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Databricks and RavenDB.
Popular · 8 of 386
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Databricks ⇄ MarkLogic -
Databricks ⇄ Neo4j -
Databricks ⇄ OCI Database (Oracle Cloud) -
Databricks ⇄ OpenSearch -
RavenDB ⇄ Cloudera Data Platform -
RavenDB ⇄ Dremio -
RavenDB ⇄ Exasol -
RavenDB ⇄ Firebolt
No integrations match .
