Cloudera + Conduktor
Unlock the full value of your streaming data for AI, analytics, and partner collaboration.
Trusted by platform engineers at
Managing complex Kafka environments requires manual effort and creates bottlenecks.
The inability to securely share real-time data locks out partner collaboration.
Low-quality, inconsistent data introduces inaccuracies to analytics and AI models.
Platform teams juggle:
- Multiple clusters across environments
- Inconsistent configurations
- Manual topic provisioning
- ACL management sprawl
Every change requires coordination. Every request creates a ticket.
Result: 15+ day lead times for new streaming use cases.
You have valuable streaming data. Partners want access.
But sharing means:
- Exposing internal infrastructure
- Building custom integrations
- Duplicating data across systems
- Managing separate access controls
Most teams say no. Revenue opportunities disappear.
Data enters Kafka without validation. Downstream impact:
- Analytics dashboards show wrong numbers
- AI models train on garbage
- Business decisions based on bad data
By the time someone notices, the damage is done.
AI readiness requires data quality at the source.
Secure Data Sharing
Share real-time data with partners without exposing infrastructure or duplicating streams.
Cost Attribution
Know which teams and applications drive Kafka costs for accurate chargeback.
Business Continuity
Automatic failover and DR capabilities keep streaming apps running.
AI-Ready Pipelines
Clean, validated data at the source protects AI models from garbage in.
Results with Cloudera + Conduktor
Teams use Cloudera and Conduktor to simplify Kafka operations and unlock streaming data for AI, analytics, and new revenue.
New teams and use cases go live in days instead of months.
Scale to thousands of users while maintaining governance and control.
Automatic failover keeps real-time applications running during DR events.
Read more customer stories
Frequently Asked Questions
How does Conduktor integrate with Cloudera?
Conduktor connects to Kafka clusters running on Cloudera Data Platform. It adds a governance and self-service layer on top of your existing infrastructure without requiring changes to your Kafka deployment.
Can Conduktor help with streaming lakehouse architectures?
Yes. Conduktor Gateway validates and transforms data in-flight, ensuring clean data flows into your lakehouse. This protects downstream analytics and AI workloads from data quality issues.
How does Conduktor enable secure data sharing with partners?
Conduktor Gateway lets you expose specific topics to external partners without revealing your internal infrastructure. You control exactly what data partners can access, with full audit trails.
Does Conduktor support disaster recovery for Kafka?
Yes. Conduktor provides automatic failover capabilities that keep streaming applications running during DR events, with near-zero downtime for real-time workloads.
How does Conduktor help with Kafka cost attribution?
Conduktor tracks which teams and applications produce and consume data. This visibility enables accurate chargeback and helps identify optimization opportunities.
Building on Cloudera?
Whether you're scaling your streaming lakehouse, enabling secure data sharing, or preparing your pipelines for AI, our team can help you get there faster.