Compare Cybus Connectware vs. Dragonfly

A single comprehensive software solution bridges intricate production environments with your IT frameworks. The ability to configure on a large scale enables swift and efficient deployments. By utilizing automated scaling, you can transform and standardize the connectivity framework across various production locations. Your team gains immediate access to real-time industrial data from both IT and OT sources, allowing for the quick, independent, and economical implementation of use cases. Establish a robust data infrastructure, ensuring a dependable and integrated industrial connectivity system. Effortlessly connect all systems and applications, integrating shop floor assets to provide timely data insights. Accelerate your business initiatives by leveraging production data effectively and executing them without delay. This seamless integration not only enhances operational efficiency but also empowers your team to make informed decisions with real-time data at their fingertips.

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.