Two-way sync
Changes in Cloudera Data Platform or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want RavenDB's rows in Cloudera Data Platform, 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 Cloudera Data Platform in real time, and result tables in Cloudera Data Platform sync back into RavenDB, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Cloudera Data Platform sync into RavenDB, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Cloudera Data Platform and keep RavenDB focused on its operational workload.
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.
| Cloudera Data Platform objects | RavenDB objects | |
|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Attachments Binary payloads stored with documents, handled separately from the JSON body | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Revisions Historical versions of documents, useful for audit-oriented replication | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Counters Numeric values attached to documents that change independently of the document body | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Time series Timestamped measurements stored per document, synced for metrics analysis | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Data subscriptions Server-side change feeds that push matching documents to consumers | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Documents JSON records, the primary unit read and written during sync |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–RavenDB connection.
Changes in Cloudera Data Platform or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or RavenDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or RavenDB record.
Track your Cloudera Data Platform ⇄ RavenDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and RavenDB.
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.
Authenticate Cloudera Data Platform 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.
Pick the Cloudera Data Platform 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and RavenDB: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Partitions and Object store / HDFS files), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Cloudera Data Platform side: Iceberg tables, Views, Partitions, Object store / HDFS files, plus custom fields where Cloudera Data Platform exposes them. On the RavenDB side: Attachments, Revisions, Counters, Time series. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Cloudera Data Platform and RavenDB: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Cloudera Data Platform sync into RavenDB, where whatever reads from that database gets them without querying the warehouse.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. 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.
Cloudera Data Platform: Access is commonly brokered by Apache Knox and secured with Kerberos or LDAP, which integration tooling must support. 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 Cloudera Data Platform and RavenDB without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Cloudera Data Platform and RavenDB.