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Apache Kafka on Confluent Cloud enables organizations to perform real-time data streaming and processing, integrating user data, and managing large transaction volumes efficiently.
Organizations leverage Apache Kafka on Confluent Cloud for several applications such as capturing change data, handling IoT workloads, and fostering data migration and microservices. It is instrumental in publishing and managing data across multiple platforms, ensuring both high throughput and seamless log management. Confluent Cloud's features like scalability, efficient transaction management, and cost-effectiveness, combined with seamless integration with multiple data tools, make it a preferred choice for real-time data processing tasks.
What are the key features?
What benefits and ROI should you look for?
In specific industries, such as finance, real-time data processing is crucial for handling high volumes of transactions and location tracking. In retail, it integrates user data and manages inventory systems efficiently. IoT applications benefit from Apache Kafka on Confluent Cloud by capturing and processing massive data streams from connected devices in real-time.
Persistent Systems Cloud Relay offers secure, reliable cloud-to-edge connectivity, enhancing data integration within cloud environments for businesses.
This innovative approach to cloud services ensures consistent, low-latency connections between cloud infrastructure and on-premises applications. By emphasizing security and reliability, it supports seamless transitions and data flow, empowering enterprises to manage resources efficiently.
What features define Persistent Systems Cloud Relay?In sectors like finance and healthcare, Persistent Systems Cloud Relay aids in streamlining processes by reliably connecting existing systems with new cloud applications. This integration supports compliance and improves data accuracy, vital for industry operations.
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