Compare RaimaDB vs. Stelo

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.

Stelo is a comprehensive enterprise solution designed to seamlessly transfer data from any source to any destination for purposes such as analysis, reporting, forecasting, and overseeing business operations, B2B exchanges, and supply chain management. It enables effortless data movement among core relational databases and delta lakes in real-time, even across firewalls, ensuring accessibility for various teams and cloud platforms. The Stelo Data Replicator offers dependable, high-speed, cost-effective replication capabilities for any relational database that can be accessed via ODBC, as well as non-relational databases utilizing Kafka, Delta Lakes, and flat file formats. By utilizing native data loading functions and taking advantage of multithreaded processing, Stelo ensures rapid and consistent performance when replicating multiple tables at the same time. With an intuitive installation process that features graphical user interfaces, configuration wizards, and sophisticated tools, setting up and operating the product is simple and requires no programming expertise. Once operational, Stelo runs reliably in the background, eliminating the need for dedicated engineering resources for its maintenance and management. Not only does this streamline operations, but it also allows organizations to focus on leveraging their data effectively.