How Cloudera Data in Motion Accelerates Your AI Journey
Today’s businesses are racing to deploy real-time AI and Agentic workflows—autonomous AI agents capable of making split-second business decisions, automated customer service adjustments, and live fraud assessments. For these systems to work, they cannot rely on what happened yesterday, or even an hour ago. They need to know what is happening right now.
Cloudera Data in Motion delivers an optimized flow and streaming solution for data ingestion, processing, and analysis, ensuring that enterprises have the freshest and most reliable data for their real-time AI applications.
What you Need for Real-Time AI
To succeed in an AI-first world, modern enterprises must transition to a data pipeline architecture built on three core pillars:
Non-stop data movement: Pipelines must facilitate continuously ingesting and processing structured and unstructured data at massive scale to ensure AI agents always operate on fresh information.
Context and traceability: These systems must be deeply embedded within the broader context of modern AI infrastructure, and need to plug directly into your existing AI and software tools.
Flexibility and scalability: Enterprises need out-of-the-box processors that securely connect any data source to any destination. By mastering these three capabilities, organizations can eliminate data silos and build the agile, automated foundation to power next-generation AI agents.
The Unique Cloudera Solution: Total Control from the Edge to AI
Cloudera is the only enterprise-grade solution for delivering trusted and governed Edge to AI workflows at scale across hybrid environments.
With an end-to-end solution that securely delivers real-time data to your AI applications, Cloudera ingests, processes, and transforms data from anywhere, including edge devices, and delivers it to any destination. This unique solution addresses the challenges surrounding real-time AI, accelerating the development of enterprise AI and agentic AI.
Cloudera Data in Motion consists of four key components: Cloudera Edge Management, Cloudera Data Flow, Cloudera Streaming Analytics, and Cloudera Streams Messaging.
The Four Offerings of Cloudera Data in Motion
Cloudera Edge Management
The beginning of the real-time data lifecycle starts with information collected from edge devices. These may be sensors, cameras, phones, or other IoT devices. Cloudera Edge Management provides edge device data collection and processing with easy-to-use central command and control.
Cloudera Data Flow
The data lifecycle continues with Cloudera Data Flow, a management hub for data that’s in transit. With hybrid deployments, automated scaling, granular security controls, and single-pane-of-glass observability, Cloudera Data Flow empowers engineering teams to focus entirely on building high-value data pipelines rather than wrestling with complex systems administration.
Cloudera Streaming Analytics
Real-time AI requires processing and analytics to happen in real time. This is made possible with Cloudera Streaming Analytics, which offers a framework for real-time stream processing and streaming analytics that reduces management complexity and costs for real-time business activities.
Cloudera Streams Messaging
Finally, a messaging backbone is needed for ensuring continuous, high-speed data flow without bottlenecks. Cloudera Streams Messaging provides a robust, scalable, and secure event-driven architecture for real-time applications. This acts as a reliable data transport layer for the most demanding development workloads.
Consistent and Unified Security and Governance
Cloudera ensures more successful real-time AI projects with secure and trusted data. As a key part of the Cloudera portfolio, Cloudera Data in Motion seamlessly integrates the security and governance policies across the data lifecycle. The result is persistent context for real-time data across all analytics on any infrastructure, covering cloud, data center, and edge.
