About Metal
Metal (Middleware, Extraction, Transformation, Artificial Intelligence, and Load) is an advanced technology that seamlessly merges artificial intelligence with database middleware and ETL functionalities, propelling enhanced performance and automating decision-making.
It streamlines and modernizes CRUD operations and data transformation tasks across SQL and NoSQL databases, instigating a paradigm shift in data management and processing.
Operating as an advanced middleware layer between the database system and HTTP requests, Metal manages communication with popular DBMS, particularly beneficial for systems like MS SQL Server and PostgreSQL lacking built-in REST APIs.
As a conduit between applications and the underlying DBMS, Metal accommodates various database operations, presenting a uniform interface for developers to construct and maintain applications seamlessly interacting with data.
By abstracting complexities associated with direct DBMS engagement, Metal empowers developers to focus on core functionality, fostering productivity and manageability.
Features
Metal offers a wide range of powerful features that empower developers and streamline data operations. With Metal, you can:
Modernize access to traditional database management systems: Metal provides a unified REST API that allows you to modernize the way you interact with popular database systems like MS SQL Server, PostgreSQL, MySQL, or MariaDB. By utilizing this API, you can seamlessly communicate with these systems, making the integration process simpler and more efficient.
Virtualize schema: Metal enables you to virtualize schemas, allowing you to deliver different schema names and user credentials based on specific requirements. This flexibility ensures that your application can adapt to different environments or scenarios without the need for significant modifications.
Merge schemas: Metal goes beyond traditional boundaries by allowing you to merge schemas from multiple databases and tables, even if they are from different data providers. This capability simplifies the process of working with distributed or heterogeneous data sources, providing a unified view for seamless data analysis and manipulation.
Leverage Artificial Intelligence for Intelligent Insights: Through the integration of cutting-edge Artificial Intelligence, Metal empowers you to harness intelligent insights from your data. The AI-driven capabilities enable automatic identification of patterns, trends, and anomalies within your datasets. This feature unlocks the potential for data-driven decision-making and predictive analytics, transforming your data into a strategic asset.
Secure your schema: Metal prioritizes security by providing an additional login process and granular access control. You can enforce different levels of permissions per table, ensuring that your sensitive data remains protected and only accessible to authorized users or applications.
Execute transformations on the fly: Metal empowers you to perform data transformations effortlessly without the need to modify existing schemas. You can apply transformations dynamically at runtime, providing real-time data processing capabilities and eliminating the need for costly and time-consuming schema alterations.
These features collectively enhance the flexibility, security, and efficiency of your data operations, enabling you to modernize your approach to database management and data transformation while harnessing the power of Artificial Intelligence for advanced insights.
List of principal features:
- REST API
- SQL Servers support (Azure SQL Database, Microsoft SQL Server, PostgreSQL)
- NoSQL Servers support (MongoDB)
- Files as tables abstraction (JSON,CSV)
- Virtualize schema and deliver different schema names and user credentials
- Merge schemas from multiple databases and tables, even from different data providers
- Secure your schema with additional login processes and grant different rights per table
- Execute transformations on the fly without modifying existing schemas
These features empower developers and simplify CRUD operations, data transformations, and integration with various database systems.
Understanding Metal Concepts
In the realm of Metal, where diverse database management systems (DBMS) and file sources coexist, unifying naming conventions stands as a crucial cornerstone. This unification ensures the preservation of a harmonious and consistent view of exposed data and objects, regardless of their origin or data provider.
Source The source represents the wellspring of data in Metal's ecosystem. It can take the form of a DBMS, be it SQL or NoSQL, a JSON file, or even a flat file. The source serves as the initial gateway through which data enters the Metal framework.
Schema The schema, in Metal's context, acts as the facade that encompasses the database structure exposed to users. It provides a standardized and unified representation of the underlying data, simplifying the interaction and understanding of the database's structure.
Entity Entities, akin to tables in traditional database terminology, are the building blocks of data organization within Metal. These entities represent distinct sets of related information and serve as the fundamental units for data management and retrieval.
Field Fields, equivalent to columns in conventional databases, are the individual data attributes that make up an entity. They define the characteristics and properties of the data, enabling precise and granular data manipulation within Metal.
Plan Plans within Metal encapsulate a predefined sequence of steps for conducting ETL (Extraction, Transformation, Load) operations. These plans facilitate the transformation and integration of data from diverse sources into a cohesive and structured format, enabling efficient data processing and analysis.
AI Engine The AI Engine is a sophisticated component integrated into Metal's architecture. It harnesses the power of artificial intelligence to empower data-driven insights and decision-making. This engine automatically identifies patterns, trends, and anomalies within the data, enhancing the overall intelligence and functionality of the Metal platform. It acts as the catalyst for transforming raw data into strategic assets through intelligent analysis and predictive capabilities.
Here's below the whole Metal system :