Best Enterprise Relational Database

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.

KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, SQLite, MS Access and Cross-DBMS databases allowing to compare and sync both schema and data. Starting with a schema changes summary, results can be narrowed down to object lists of particular object type (table definitions, views, etc.), and then down to definition of particular object. Data changes can be retrieved as a high-level list of changes totals across all tables in the database, each total row count can be observed as a side-by-side list of rows for the given table, each changed row can be analyzed for changes in each column. Various diff results provide quick filters to show only new/changed/new+changed items (schema objects or table data rows), ability to select required changed items and generate scripts to apply these changes to the other side database. This script can be executed immediately or saved for future use.

We’re thrilled to announce that Software Tree has won a 2021 DEVIES Award in the code frameworks/libraries category for its innovative Gilhari microservice framework. Gilhari makes it easy for developers to quickly develop high-performance, database-agnostic, and Docker-compatible RESTful applications that need to interact with JSON data in cloud or on-premises. The object-oriented world and the relational world are conceptually different. Manually writing the verbose mapping logic to bridge the gap between the object-oriented and relational artifacts is tedious and time-consuming. Software Tree’s ORM technology frameworks are lightweight in their design and implementation and provide a lightweight feel in their usage. The lightweight aspects of our ORM technology do not compromise on its power and functionality, though. This results in faster development and deployment of modern applications that require flexible object-oriented access to relational data.