Cloudera + Conduktor: Enterprise Kafka Data Platform
Maximize the value of your real-time data to support data-driven decision-making and AI adoption.
Get Started with Cloudera + Conduktor
The Problem
Managing complex Kafka environments creates chaos without the right controls.
- High operational complexity — Managing complex Kafka environments requires manual effort and creates bottlenecks
- Missed opportunities — The inability to securely share real-time data in a cost-efficient way locks out partner collaboration and business opportunities
- Poor data quality — Low-quality, inconsistent data introduces inaccuracies to analytics and AI models
Why Cloudera + Conduktor
- Accelerated innovation — Self-service Kafka access and improved visibility to accelerate data innovation
- Additional revenue — Confidently exchange streaming data with partners, without duplication, to unlock new revenue channels
- High trust — Enforce and govern data proactively as it arrives to ensure reliable, trustworthy downstream applications and outputs
Key Capabilities
- Secure + expand data exchange — Share data with external partners to unlock new business opportunities without data duplication
- Improve forecasting and accountability — Allocate platform costs efficiently across teams and cost centers
- Ensure business continuity — Remove disruptions. Improve platform reliability and customer trust
- Guarantee data quality + AI readiness — Ensure data quality at the source to protect AI models from data pollution
Better Together
Teams use Conduktor to
- Enhance the effectiveness of teams and processes
- Minimize risk and ensure compliance
- Turn data into a strategic advantage
Cloudera empowers organizations to
- Enable modern data architectures
- Deliver true hybrid
- Accelerate enterprise AI
Results
Teams use Cloudera and Conduktor to simplify Kafka environments—and lay the groundwork for AI, analytics, and new revenue streams.
| Metric | Impact |
|---|---|
| 15x | Faster time to market—accelerate the onboarding of new teams and use cases to Kafka |
| 10x | Adoption—scale to thousands of users using real-time data to boost operational efficiency while ensuring governance |
| Near 0 | Downtime for real-time applications in case of a DR event |