Find out in this report how the two AWS Marketplace solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
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.
Unleash the power of AI-generated SQL and Serverless HTAP in a single cloud-native database. Experience real-time analytics and elastic scaling, all in a fully managed service.
Elastically and transparently scale to hundreds of nodes for critical workloads without changing business logic.
Use what you know about SQL – maintain your relational model and global ACID transactions while coping with your hybrid workloads at ease.
Equipped with built-in high performance analytics engine to analyze operational data without using an ETL.
We monitor all AWS Marketplace reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
