Real-time
Two-way sync
Changes in Actian Vector or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Actian Vector to Cloudera Data Platform integration — real-time, two-way sync
Keep Actian Vector and Cloudera Data Platform 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 Actian Vector and Cloudera Data Platform
Keep tables consistent across Actian Vector and Cloudera Data Platform, 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 Actian Vector and Cloudera Data Platform 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
- Keep reporting tables in Vector refreshed from production databases on a schedule.
- Publish aggregates computed in Vector back to operational tools that business teams use.
- Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.
- Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
Migration without a big bang
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
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.
What you can sync between Actian Vector and Cloudera Data Platform
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.
| Actian Vector objects | Cloudera Data Platform objects | |
|---|---|---|
| Columns Typed columns mapped field-by-field during schema mapping. | Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | |
| Databases Top-level containers targeted by a sync connection. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | |
| Schemas Namespaces used to organize synced tables. | Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | |
| Tables Columnar tables that serve as sync sources or destinations. | Views SQL views that can present curated, sync-ready projections of raw lake data. | |
| Views SQL views readable as query-backed sync sources. | Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. |
What ships with Actian Vector ⇄ Cloudera Data Platform
Connect Actian Vector and Cloudera Data Platform for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Cloudera Data Platform connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Actian Vector or Cloudera Data Platform 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 Actian Vector or Cloudera Data Platform record.
Observability
Monitoring
Track your Actian Vector ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Actian Vector and Cloudera Data Platform.
How the Actian Vector and Cloudera Data Platform connectors work
Actian Vector
- Integration surface
- SQL over JDBC/ODBC
- Authentication
- Database credentials
- Change detection
- Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers
- Capabilities
- read · write
- Rate limits
- No API rate limits in the SaaS sense; throughput depends on cluster resources and query concurrency
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
How it works
How to connect Actian Vector to Cloudera Data Platform — 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 Actian Vector and Cloudera Data Platform with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Actian Vector
connected
Cloudera Data Platform
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Actian Vector and Cloudera Data Platform 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 · Actian Vector ⇄ Cloudera Data PlatformCustomers 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.
Actian Vector Cloudera Data PlatformCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Actian Vector and Cloudera Data Platform integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Actian Vector and Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as Actian Vector's Columns and Users and Roles), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Actian Vector and Cloudera Data Platform: Migration without a big bang; Serve tools that only connect to one platform; Shared datasets across teams. When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
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Actian Vector: SQL over JDBC/ODBC. Authentication: Database credentials. 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. Stacksync manages authentication, retries, and rate limits on both sides.
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Actian Vector: The engine handles incremental updates internally to keep columnar storage fast for reads, but change capture for external consumers is done by querying, not by tailing a log. Cloudera Data Platform: Access is commonly brokered by Apache Knox and secured with Kerberos or LDAP, which integration tooling must support. Stacksync's field mapping accounts for these differences between Actian Vector and Cloudera Data Platform 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 Actian Vector and Cloudera Data Platform 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 Actian Vector and Cloudera Data Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Actian Vector–Cloudera Data Platform integration in-house.
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 Actian Vector and Cloudera Data Platform.
Popular · 8 of 386
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Actian Vector ⇄ Greenplum -
Actian Vector ⇄ IBM Netezza -
Actian Vector ⇄ Materialize -
Actian Vector ⇄ Rockset - Cloudera Data Platform ⇄ Greenplum
- Cloudera Data Platform ⇄ IBM Netezza
- Cloudera Data Platform ⇄ Materialize
- Cloudera Data Platform ⇄ Rockset
No integrations match .
