Entity Developer vs IBM solidDB comparison

Entity Developer is a powerful tool designed for code generation and object-relational mapping, enabling developers to streamline and enhance application development processes.

Entity Developer provides an intuitive interface for designing models, enabling efficient and clear ORM implementation. It supports multiple ORM solutions and can be a robust part of any developer’s toolkit, assisting in data modeling, code generation, and integration with existing systems.

What are the standout features of Entity Developer?

• Visual ORM Designer: Allows efficient visualization and editing of ORM models.
• Model-First Approach: Provides a streamlined process for creating databases from models.
• Multiple ORM Support: Seamlessly integrates with popular frameworks.
• Code Generation: Automates repetitive coding tasks for increased productivity.
• Customizable Templates: Offers flexibility in code output to suit unique project requirements.

What benefits and ROI should users expect?

• Time Efficiency: Reduces development time through automation and model-first approach.
• Error Reduction: Decreases potential errors in code through clear visual modeling.
• Integration Flexibility: Adapts smoothly into existing workflows, enhancing development efficiency.
• Cost Savings: Combines multiple ORM solutions, reducing tool expenditure.

Entity Developer finds successful implementation across diverse industries, from financial services to healthcare, where data management and database interaction are critical. Its ability to adapt and provide tailor-made solutions makes it highly valued in tech-driven environments.

IBM solidDB is a relational database server that combines the high performance of in-memory tables with the nearly unlimited capacity of disk-based tables.

Pure in-memory databases are fast, but strictly limited by the size of memory. Pure disk-based databases allow nearly unlimited amounts of storage, but their performance is dominated by disk access. Even if the computer has enough memory to store the entire database in memory buffers, database servers that are designed for disk-based tables can be slow because the data structures that are optimal for disk-based tables are far from being optimal for in-memory tables. The solidDB solution is to provide a single hybrid database server that contains two optimized engines inside it:

• The main-memory engine (MME) is optimized for in-memory access.
• The disk-based engine (DBE) is optimized for disk-based access.

Both engines coexist inside the same server process, and a single SQL statement can access data from both engines.