Dragonfly
Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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SurveyMonkey Apply
SurveyMonkey Apply, which was previously referred to as FluidReview, is a digital platform designed for managing applications from organizations that provide grants, scholarships, fellowships, and similar initiatives. This system enables organizations to create a user-friendly portal where applicants can easily find available opportunities, detailed instructions, and necessary requirements. Additionally, organizations have the capability to monitor and assess applications directly through the platform, streamlining the entire process for both applicants and administrators. This efficiency not only enhances the experience for applicants but also optimizes the workflow for organizations managing numerous submissions.
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LiteSpeed Web Server
Our lightweight Apache alternative saves resources without compromising performance, security, compatibility, and convenience. LiteSpeed Web Server's event-driven architecture doubles the capacity of your Apache servers. It can handle thousands of concurrent clients and consume minimal memory and CPU usage. ModSecurity rules are already in place to protect your servers. You can also take advantage of many built-in antiDDoS features like bandwidth and connection throttling. You can save capital by reducing the number servers required to support your growing web hosting business or online application. Reduce complexity by eliminating the need to use an HTTPS reverse proxy or other 3rd party caching layer. LiteSpeed Web Server can load Apache configuration files directly and is compatible with all Apache features, including ModSecurity and Rewrite Engine.
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