Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Technical support is very costly for me, accounting for twenty-five to thirty percent of the product cost.
It is provided as a pre-configured box, and scaling is not an option.
Data migration and changes to application-side configurations are challenging due to the lack of automatic migration tools in a non-clustered legacy system.
Redis is fairly stable.
The cloud version is only available in AWS, and in the Middle East, it is not well-developed in the Azure environment.
Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active.
Since we use an open-source version of Redis, we do not experience any setup costs or licensing expenses.
It operates as a high-speed data warehouse, which is essential for handling big data.
It functions similarly to a foundational building block in a larger system, enabling native integration and high functionality in core data processes.
Redis is a high-performance, scalable, and easy-to-use caching solution that improves application performance. It is also used for session management, real-time analytics, and as a message broker.
Redis's valuable features include its ability to handle large amounts of data quickly, its simplicity and straightforward setup process, and its support for various data structures, providing flexibility for different use cases.
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