Want to hire Typeorm developer? Then you should know!
- TOP 10 Typeorm Related Technologies
- Soft skills of a Typeorm Developer
- TOP 14 Facts about Typeorm
- Pros & cons of Typeorm
- Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.
- What are top Typeorm instruments and tools?
- How and where is Typeorm used?
- Cases when Typeorm does not work
TOP 10 Typeorm Related Technologies
JavaScript
JavaScript is a fundamental language for Typeorm software development. It is widely used for both front-end and back-end development due to its versatility and large community support.
TypeScript
TypeScript is a superset of JavaScript that adds static typing to the language. It provides better tooling and helps catch potential errors during development, making it a popular choice for developing Typeorm applications.
Node.js
Node.js is a runtime environment that allows developers to run JavaScript code on the server-side. It provides a non-blocking, event-driven architecture, making it highly suitable for building scalable and high-performance Typeorm applications.
Express.js
Express.js is a minimalist web application framework for Node.js. It provides a simple and flexible way to build web APIs and server-side applications, making it a popular choice for building Typeorm backend systems.
React
React is a JavaScript library for building user interfaces. It allows developers to create reusable UI components, making the development process more efficient. React is often used in conjunction with Typeorm to build interactive and dynamic front-end applications.
Angular
Angular is a popular JavaScript framework for building web applications. It provides a robust set of features, including two-way data binding and dependency injection, making it suitable for developing complex Typeorm applications.
PostgreSQL
PostgreSQL is a powerful open-source relational database management system. It offers advanced features such as JSON support and concurrency control, making it a reliable choice for storing and managing data in Typeorm applications.
Soft skills of a Typeorm Developer
Soft skills are crucial for a Typeorm Developer as they play a significant role in ensuring effective collaboration, communication, and problem-solving within a team. Here are the soft skills required for different levels of expertise:
Junior
- Adaptability: Ability to quickly learn and adapt to new technologies and frameworks.
- Teamwork: Collaboration and effective communication with team members to achieve project goals.
- Attention to Detail: Paying close attention to code quality and ensuring accuracy in implementation.
- Time Management: Efficiently managing time and prioritizing tasks to meet deadlines.
- Problem Solving: Analyzing and resolving technical challenges through logical thinking.
Middle
- Leadership: Guiding and mentoring junior developers, providing technical guidance and support.
- Code Review: Conducting thorough code reviews to ensure quality and adherence to best practices.
- Conflict Resolution: Resolving conflicts and facilitating effective communication within the team.
- Collaboration: Working closely with cross-functional teams to deliver complex projects.
- Self-Motivation: Taking initiative, being proactive, and continuously learning and improving.
- Effective Communication: Clearly and concisely conveying ideas and technical concepts to both technical and non-technical stakeholders.
- Quality Assurance: Ensuring high standards of code quality, testing, and documentation.
Senior
- Technical Leadership: Providing technical guidance, architecture design, and decision-making for the team.
- Project Management: Overseeing project timelines, resource allocation, and ensuring successful project delivery.
- Mentorship: Mentoring and coaching junior and middle developers, fostering their professional growth.
- Strategic Thinking: Identifying opportunities for process improvement and proposing innovative solutions.
- Client Management: Building and maintaining strong relationships with clients, understanding their needs, and delivering value.
- Team Building: Building a cohesive and high-performing development team.
- Conflict Management: Resolving conflicts and promoting a positive and productive work environment.
- Decision Making: Making informed decisions based on technical knowledge and business objectives.
Expert/Team Lead
- Technical Expertise: In-depth knowledge and expertise in Typeorm and related technologies.
- Strategic Planning: Developing long-term technical strategies and roadmaps for the team.
- Project Ownership: Taking ownership of project outcomes, ensuring successful delivery and client satisfaction.
- Innovation: Driving innovation and exploring new technologies to enhance product development and efficiency.
- Team Management: Managing and leading a team of developers, providing guidance and support.
- Communication Skills: Effectively communicating complex technical concepts to stakeholders at all levels.
- Decision-Making Authority: Making critical decisions related to project scope, technical direction, and resource allocation.
- Continuous Learning: Staying updated with the latest industry trends and advancements in Typeorm and related technologies.
- Risk Management: Identifying and mitigating risks associated with technical projects.
- Client Relationship Management: Building and maintaining strong relationships with clients, understanding their business needs, and aligning technical solutions accordingly.
- Process Improvement: Identifying areas for process improvement and implementing best practices to enhance team productivity and efficiency.
TOP 14 Facts about Typeorm
- TypeORM is an Object-Relational Mapping (ORM) library for TypeScript and JavaScript that enables developers to work with relational databases using object-oriented programming concepts.
- It supports various databases such as MySQL, PostgreSQL, SQLite, Oracle, and Microsoft SQL Server, making it highly versatile.
- TypeORM offers a powerful Query Builder and supports raw SQL queries, providing flexibility for developers to choose the approach that best suits their needs.
- It provides a wide range of features including entity mapping, migrations, eager and lazy loading, caching, and transaction management.
- TypeORM supports both synchronous and asynchronous operations, allowing developers to write efficient and scalable code.
- It offers a CLI (Command Line Interface) that simplifies common tasks such as generating entities, running migrations, and creating database schemas.
- TypeORM supports TypeScript decorators for defining entities and their properties, making it easy to map database tables to JavaScript objects.
- It provides a robust validation mechanism that allows developers to define constraints and validation rules for entities, ensuring data consistency and integrity.
- TypeORM supports advanced querying capabilities such as filtering, sorting, pagination, and joining multiple tables, enabling developers to retrieve data efficiently.
- It supports database migrations, which streamline the process of modifying database schemas and keeping them in sync with the application code.
- TypeORM has a vibrant and active community, with regular updates and bug fixes being released to ensure stability and improved functionality.
- It offers excellent documentation, including detailed guides, examples, and API references, making it easier for developers to get started and learn the framework.
- TypeORM is widely adopted by companies and developers worldwide, including industry leaders such as Microsoft, Siemens, and Accenture.
- It is an open-source project, licensed under the MIT License, which allows developers to use, modify, and distribute the library freely.
Pros & cons of Typeorm
7 Pros of Typeorm
- 1. Strong Query Builder: TypeORM provides a powerful query builder that allows you to write complex queries using a fluent and intuitive syntax. This makes it easier to retrieve and manipulate data from your database.
- 2. Supports Multiple Database Types: TypeORM supports a wide range of database systems including MySQL, PostgreSQL, SQLite, and Microsoft SQL Server. This allows you to use TypeORM with your preferred database technology.
- 3. Active Community: TypeORM has a large and active community of developers who contribute to its development and provide support. This means you can find help and resources easily, making it easier to troubleshoot issues and learn new features.
- 4. Object-Relational Mapping (ORM): TypeORM provides a powerful ORM that allows you to map your database tables to TypeScript classes. This makes it easier to work with your database entities as objects, reducing the amount of boilerplate code you need to write.
- 5. Cross-platform Compatibility: TypeORM is compatible with both Node.js and the browser, making it a versatile choice for building web applications. You can use TypeORM to build server-side applications with Node.js or client-side applications with modern JavaScript frameworks like React or Angular.
- 6. Migrations Support: TypeORM includes built-in support for database migrations. This allows you to easily manage changes to your database schema over time, ensuring that your application’s data remains consistent and up-to-date.
- 7. Active Development: TypeORM is actively developed and regularly updated with new features and bug fixes. This ensures that you have access to the latest improvements and can benefit from ongoing enhancements to the library.
7 Cons of Typeorm
- 1. Learning Curve: TypeORM has a moderately steep learning curve, especially if you are new to TypeScript or ORM concepts. It may take some time to fully grasp the library’s features and best practices.
- 2. Performance Overhead: While TypeORM provides a convenient abstraction layer, it adds some performance overhead compared to writing raw SQL queries. In performance-sensitive applications, this overhead may be a concern.
- 3. Lack of Full Text Search Support: TypeORM does not have built-in support for full-text search, which can be a limitation for applications that heavily rely on text-based search functionality.
- 4. Limited Documentation: Although TypeORM has documentation available, it may not cover all the advanced features or provide in-depth examples for complex use cases. This can make it more challenging to implement certain functionalities.
- 5. Limited Support for NoSQL Databases: While TypeORM supports a variety of SQL databases, its support for NoSQL databases is limited. If you are working with a NoSQL database like MongoDB, you may need to consider alternative solutions.
- 6. Lack of Advanced Caching Mechanisms: TypeORM does not provide advanced caching mechanisms out-of-the-box. If your application requires advanced caching strategies, you may need to implement them separately.
- 7. Relatively Large Bundle Size: TypeORM has a relatively large bundle size, which can impact the overall size of your application. This may be a concern if you are building lightweight or resource-constrained applications.
Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years | Assist senior developers in coding, testing, and debugging tasks. Participate in code reviews and contribute to the development of software components. Learn and gain experience in various programming languages and frameworks. | 50,000 – 70,000 |
Middle | 2-5 years | Independently develop software components and modules. Collaborate with team members to design and implement solutions. Mentor junior developers and provide technical guidance. Participate in code reviews and ensure adherence to coding standards. | 70,000 – 90,000 |
Senior | 5-10 years | Lead the development of complex software systems. Design and architect solutions based on business requirements. Mentor and guide junior and middle developers. Collaborate with cross-functional teams to ensure successful project delivery. Conduct code reviews and implement best practices. | 90,000 – 120,000 |
Expert/Team Lead | 10+ years | Provide technical leadership and strategic direction. Manage and lead a team of developers. Architect and design scalable and robust software solutions. Collaborate with stakeholders to define project goals and deliverables. Ensure the team’s performance and productivity. Conduct code reviews and ensure high-quality code standards. | 120,000 – 150,000+ |
What are top Typeorm instruments and tools?
- CLI: The TypeORM Command Line Interface is a powerful tool that allows developers to easily interact with their TypeORM projects. It provides commands for database migrations, schema generation, entity scaffolding, and more. The CLI greatly enhances productivity and streamlines development workflows. It has been in active development since 2016 and is actively maintained by the TypeORM team.
- QueryBuilder: The QueryBuilder is a versatile tool that provides a programmatic way to build complex database queries using a chainable API. It supports various query operations like filtering, sorting, joining, and pagination. The QueryBuilder is a core component of TypeORM and has been continuously improved since its introduction in 2014. It offers a convenient and efficient way to interact with databases without writing raw SQL queries.
- Migrations: TypeORM Migrations allow developers to manage and version their database schema changes over time. It provides an easy-to-use CLI command to generate migration files based on entity changes and a set of migration operations to apply those changes to the database. Migrations have been a fundamental feature of TypeORM since its early days and have been widely adopted by the community for maintaining database schema consistency and deployment workflows.
- Entity Metadata: TypeORM’s Entity Metadata is a powerful feature that provides detailed information about entities and their properties. It allows developers to introspect and manipulate entity metadata at runtime, enabling advanced use cases such as dynamic queries and custom entity transformations. Entity Metadata has been a core component of TypeORM since its inception and continues to evolve with new features and enhancements.
- Active Record: The Active Record pattern is a popular and widely used design pattern for working with databases. TypeORM embraces the Active Record pattern and provides a straightforward way to define entity models with rich functionality, including CRUD operations and query capabilities. With the Active Record pattern, developers can seamlessly work with their database entities using familiar object-oriented programming paradigms. TypeORM’s Active Record implementation has been refined and optimized over the years, making it a robust and performant tool for database operations.
- Transactions: TypeORM’s transaction support allows developers to perform multiple database operations atomically and consistently. Transactions help ensure data integrity and provide a mechanism for rolling back changes in case of errors or failures. TypeORM’s transactional API is designed to be intuitive and easy to use, enabling developers to handle complex database interactions with confidence. The transaction feature has been available in TypeORM since its early versions and has been continuously improved to meet the evolving needs of developers.
- Connection Pooling: TypeORM incorporates connection pooling to optimize the usage of database connections and improve performance. Connection pooling allows the reuse and sharing of established database connections, reducing the overhead of creating new connections for each request. TypeORM’s connection pooling mechanism has been fine-tuned over the years to strike a balance between efficient resource utilization and responsiveness. It significantly enhances the scalability and responsiveness of TypeORM applications.
- Plugins and Integrations: TypeORM offers a wide range of plugins and integrations with other popular frameworks and libraries. These plugins provide additional functionality, such as caching, logging, and authorization, that seamlessly integrates with the TypeORM ecosystem. Some notable plugins include TypeORM Cache, TypeORM Logger, and TypeORM GraphQL. These plugins extend the capabilities of TypeORM and enable developers to leverage existing tools and technologies to enhance their applications.
How and where is Typeorm used?
Case Name | Case Description |
---|---|
1. Building Web Applications | TypeORM is widely used for building web applications, providing an easy-to-use and efficient way to interact with databases. It supports various databases such as MySQL, PostgreSQL, SQLite, and MSSQL, allowing developers to seamlessly connect their applications to different database systems. |
2. Real-time Data Synchronization | TypeORM offers real-time data synchronization capabilities, making it suitable for applications that require instant updates. It can efficiently track changes in the database and propagate them to connected clients in real-time, ensuring that all users have the latest data. |
3. Microservices Architecture | TypeORM is well-suited for microservices architecture, where each service has its own database. It allows developers to easily manage multiple databases and define relationships between them. This flexibility enables efficient communication and data exchange between microservices. |
4. Complex Data Models | With TypeORM, developers can easily create complex data models with multiple entities and relationships. It supports various types of relationships such as One-to-One, One-to-Many, and Many-to-Many, allowing for efficient modeling of complex business logic and data structures. |
5. Testing and Mocking | TypeORM provides features that simplify the testing process and facilitate mocking of database interactions. Developers can easily create mock repositories and inject them into their tests, allowing for isolated testing of database-related functionality without actually connecting to a real database. |
6. Data Migration and Schema Management | TypeORM includes powerful migration capabilities, allowing developers to manage database schema changes efficiently. It automatically generates migration scripts based on changes in the entity definition, making it easier to keep the database schema in sync with the application code. |
7. Geospatial Data Handling | TypeORM supports geospatial data types and operations, making it suitable for applications that deal with location-based data. It provides built-in support for popular geospatial databases such as PostGIS, enabling developers to perform spatial queries and calculations with ease. |
8. Caching and Performance Optimization | TypeORM integrates with popular caching solutions such as Redis, allowing developers to improve performance by caching frequently accessed data. It provides a caching layer that can be configured to store query results, reducing the load on the database and improving response times. |
9. GraphQL Integration | TypeORM seamlessly integrates with GraphQL frameworks, enabling developers to build powerful GraphQL APIs backed by a database. It provides features like automatic query generation, batching, and pagination, simplifying the development of GraphQL-based applications. |
Cases when Typeorm does not work
- Unsupported databases: Typeorm supports a wide range of databases, including MySQL, PostgreSQL, SQLite, and Microsoft SQL Server. However, it does not support all database systems. For example, if you are using Oracle or MongoDB, Typeorm may not work for you. It’s important to check the Typeorm documentation to ensure compatibility with your chosen database system.
- Complex database structures: Typeorm provides a powerful Object-Relational Mapping (ORM) solution, but it may struggle with highly complex database structures. If your database schema includes intricate relationships, inheritance, or advanced indexing, you may encounter difficulties when using Typeorm. In such cases, it is recommended to evaluate your requirements and consider alternative ORM solutions that better suit your needs.
- Performance issues with large datasets: When dealing with large datasets, Typeorm may not be the most performant solution. While it offers features like lazy loading and query optimization, there are scenarios where the performance can degrade significantly. For high-performance applications that require handling massive amounts of data, it is advisable to explore other ORM options or even consider using raw SQL queries for optimal performance.
- Compatibility with specific query syntax: Typeorm supports different query syntaxes, such as SQL, QueryBuilder, and Repository pattern. However, there might be cases where your project requires a specific query syntax that is not directly supported by Typeorm. In such situations, you may need to resort to executing raw SQL queries or consider utilizing other query builders that align better with your desired syntax.
- Integration with legacy systems: If you are working with legacy systems that have unconventional data structures or non-standard database configurations, Typeorm might face challenges during integration. In these cases, it may be necessary to write custom adapters or extend Typeorm’s functionalities to accommodate the specific requirements of your legacy system.
- Migration issues: While Typeorm provides migration functionality to manage database schema changes, complications can arise in certain scenarios. For instance, if you have a large number of existing database tables or complex relationships, the migration process might encounter difficulties in accurately synchronizing the schema changes. In such cases, manual intervention or alternative migration strategies may be required.