Real-time
Two-way sync
Changes in Cloudera Data Platform or Rockset instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Cloudera Data Platform to Rockset integration — real-time, two-way sync
Keep Cloudera Data Platform and Rockset 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 Cloudera Data Platform and Rockset
Keep tables consistent across Cloudera Data Platform and Rockset, for a migration, a multi-warehouse stack, or a dataset two platforms both need.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Cloudera Data Platform and Rockset continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Common use cases
- Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
- Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.
- Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.
- Read query results back into an operational database to expose computed metrics to applications.
Serve tools that only connect to one platform
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
Shared datasets across teams
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
Consolidation after M&A
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
What you can sync between Cloudera Data Platform and Rockset
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 | Rockset objects | |
|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Workspaces Namespaces that group collections and query lambdas per team or environment. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Aliases Stable names that point at collections, used to swap datasets without changing queries. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Virtual Instances Isolated compute units that separate ingest from query workloads. |
What ships with Cloudera Data Platform ⇄ Rockset
Connect Cloudera Data Platform and Rockset for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Rockset connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Cloudera Data Platform or Rockset 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 Cloudera Data Platform or Rockset record.
Observability
Monitoring
Track your Cloudera Data Platform ⇄ Rockset sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Rockset.
How the Cloudera Data Platform and Rockset connectors work
Cloudera Data Platform
- Integration surface
- 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
- Change detection
- Polling via SQL on timestamp or partition columns; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Constrained by cluster capacity and admission control rather than API rate limits
Rockset
- Integration surface
- REST API (SQL over HTTP, plus a document Write API)
- Authentication
- API key
- Change detection
- Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
- Capabilities
- read · write
How it works
How to connect Cloudera Data Platform to Rockset — 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 Cloudera Data Platform and Rockset with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Cloudera Data Platform
connected
Rockset
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Cloudera Data Platform and Rockset 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 · Cloudera Data Platform ⇄ RocksetCustomers 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.
Cloudera Data Platform RocksetCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Cloudera Data Platform and Rockset integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and Rockset: 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.
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On the Cloudera Data Platform side: Views, Partitions, Object store / HDFS files, Databases, plus custom fields where Cloudera Data Platform exposes them. On the Rockset side: Query Lambdas, Aliases, Integrations, Virtual Instances. 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.
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Common patterns for Cloudera Data Platform and Rockset: Serve tools that only connect to one platform; Shared datasets across teams; Consolidation after M&A. Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
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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. Rockset: REST API (SQL over HTTP, plus a document Write API). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. Rockset: Rockset was acquired by OpenAI in 2024 and the public service was subsequently wound down, so integrations are relevant mainly for legacy or migration scenarios. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Rockset without custom code.
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 Cloudera Data Platform and Rockset.
Popular · 8 of 386
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Cloudera Data Platform ⇄ BigQuery -
Cloudera Data Platform ⇄ MotherDuck -
Cloudera Data Platform ⇄ Databricks -
Cloudera Data Platform ⇄ AWS S3 -
Rockset ⇄ Materialize -
Rockset ⇄ Starburst Enterprise -
Rockset ⇄ StarRocks -
Rockset ⇄ Teradata Vantage
No integrations match .
