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Mikro orm VS PostGIS

Compare Mikro orm VS PostGIS and see what are their differences

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Mikro orm logo Mikro orm

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns.

PostGIS logo PostGIS

Open source spatial database
  • Mikro orm Landing page
    Landing page //
    2021-09-10
  • PostGIS Landing page
    Landing page //
    2021-12-18

Mikro orm features and specs

  • TypeScript Support
    MikroORM provides first-class TypeScript support, which ensures type safety and better tooling support for developers using TypeScript in their applications.
  • Supports Multiple Databases
    It is compatible with several relational databases like MySQL, PostgreSQL, SQLite, and even NoSQL databases like MongoDB, allowing flexible database management.
  • Lightweight and Efficient
    Designed to be lightweight, MikroORM offers efficient query performance and lower memory overhead compared to some heavier ORMs.
  • Active Community and Documentation
    MikroORM's documentation is comprehensive and the community is active, which makes it easier for developers to find help and resources.
  • Entity Management
    MikroORM allows powerful entity management, including features like lifecycle hooks, auto-flushing, and fully typed data models.

Possible disadvantages of Mikro orm

  • Complexity for Beginners
    New developers might find MikroORM complex compared to simpler solutions like Sequelize, particularly due to its rich feature set and TypeScript integration.
  • Learning Curve
    The learning curve can be steep for those unfamiliar with TypeScript or ORM concepts since it requires understanding both to use effectively.
  • Less Mature than Some Alternatives
    Being a relatively newer ORM, it may lack some of the battle-tested features and stability found in more established ORMs like TypeORM or Sequelize.
  • Limited Advanced Features
    MikroORM might not support certain advanced use-cases or specific database features out-of-the-box, potentially requiring custom solutions.

PostGIS features and specs

  • Open Source
    PostGIS is open-source, meaning it is free to use and has a strong community support for development and troubleshooting.
  • Integration with PostgreSQL
    PostGIS extends PostgreSQL, a robust relational database management system, providing powerful geospatial capabilities along with traditional SQL features.
  • Rich Geospatial Functions
    PostGIS offers a comprehensive range of geospatial functions and data types, making it suitable for complex spatial queries and analyses.
  • Cross-platform Support
    Being cross-platform, PostGIS can run on various operating systems including Windows, Linux, and macOS, offering flexibility in deployment.
  • Active Community and Documentation
    PostGIS benefits from an active user community and extensive documentation, which aids in learning and problem-solving.
  • Scalability
    Built on PostgreSQL, PostGIS inherits its scalability features, which support large datasets and extensive query capabilities.
  • Customization and Extension
    PostGIS's open architecture allows for customization and the development of extensions to meet specific geospatial needs.

Possible disadvantages of PostGIS

  • Complexity
    The setup and maintenance of PostGIS can be complex for users without prior experience in PostgreSQL or geospatial databases.
  • Performance Overhead
    For extremely large datasets and very high-performance needs, the additional geospatial functionality can introduce some performance overhead.
  • Learning Curve
    There is a significant learning curve associated with mastering PostGIS, particularly for users who are not familiar with GIS or SQL.
  • Resource Intensive
    Running intensive geospatial queries can be resource-intensive, requiring significant memory and processing power.
  • Limited Advanced GIS Features
    While PostGIS offers extensive GIS features, it may fall short compared to specialized GIS software for certain advanced spatial analytics or visualization tasks.
  • Dependency on PostgreSQL
    As PostGIS is an extension to PostgreSQL, users are dependent on PostgreSQL updates and limitations, which might not always align with geospatial needs.

Analysis of PostGIS

Overall verdict

  • Yes, PostGIS is highly regarded for its capabilities in managing and analyzing spatial data. It is a powerful tool for those needing advanced spatial functionalities and is often recommended due to its open-source nature and extensive community support.

Why this product is good

  • PostGIS is considered a robust spatial database extender for PostgreSQL, offering extensive support for geographic objects, which enables it to manage and analyze spatial data efficiently. It provides a wide range of functions for spatial queries, including geometry and geography data types, and it supports spatial indexing and topological relationships. Its integration with PostgreSQL ensures reliability, scalability, and performance, making it a popular choice for GIS professionals.

Recommended for

  • Geographic Information System (GIS) professionals
  • Organizations managing spatial databases
  • Developers building applications requiring spatial data processing
  • Environmental scientists and urban planners
  • Businesses needing location-based data analysis

Mikro orm videos

No Mikro orm videos yet. You could help us improve this page by suggesting one.

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PostGIS videos

+ Add

Como Instalar o PostgreSQL com PostGIS | ALL com GEO

More videos:

  • Review - Paul Ramsey: This Is PostGIS
  • Review - A New Dimension To PostGIS : 3D

Category Popularity

0-100% (relative to Mikro orm and PostGIS)

Mikro orm

PostGIS

Web Frameworks
100 100%
Web Frameworks
0% 0
Maps
0 0%
Maps
100% 100
Development
100 100%
Development
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Mikro orm and PostGIS

Mikro orm Reviews

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PostGIS Reviews

The Top 10 Alternatives to ArcGIS
For those in the engineering and GIS community, PostGIS is a well-known open source extension for the PostgreSQL database that allows for spatial data to be stored, managed, and queried. The software enables users to conduct complex geospatial analyses and – because it is built on top of the powerful open-source database PostgreSQL – it can handle large datasets with ease....
Source: equatorstudios.com

Social recommendations and mentions

Based on our record, Mikro orm seems to be a lot more popular than PostGIS. While we know about 26 links to Mikro orm, we've tracked only 1 mention of PostGIS. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Mikro orm mentions (26)

  • Show HN: DBOS TypeScript – Lightweight Durable Execution Built on Postgres
    Why typeorm over something like https://mikro-orm.io/? - Source: Hacker News / 5 months ago
  • Rust GraphQL APIs for NodeJS Developers: Introduction
    In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:. - Source: dev.to / over 1 year ago
  • Top 6 ORMs for Modern Node.js App Development
    Mikro-ORM is a TypeScript ORM that focuses on simplicity and efficiency. It supports various SQL databases and MongoDB. Mikro-ORM is known for its simplicity and developer-friendly APIs. It provides a concise syntax for defining data models and relationships, making it easy to use. - Source: dev.to / over 1 year ago
  • We migrated to SQL. Our biggest learning? Don't use Prisma
    I found MikroORM [0] to be quite reasonable if you're in the TS ecosystem already. It was also easy to do custom, raw queries, and really just felt like it wasn't in the way. [0] https://mikro-orm.io/. - Source: Hacker News / over 1 year ago
  • The Epic Stack by Kent C. Dodds
    It also does code generation into its own module, so good luck with hoisting in a monorepo where you want multiple independent prisma schemas. MikroORM[1] is a much better alternative to Prisma in my opinion but any ORM carries some form of baggage. [1] https://mikro-orm.io/. - Source: Hacker News / about 2 years ago
View more

PostGIS mentions (1)

  • Efficient Distance Querying in MySQL
    This is an interesting article about strategies to use when traditional indexes just won't do, but for the love of the index please use MySQL's (or postgres' or sqlite's) built in spatial index for this particular class of problems. It will does this sort of thing much, much more efficiently than 99% of in house solutions. https://dev.mysql.com/doc/refman/8.0/en/spatial-types.html... - Source: Hacker News / over 3 years ago

What are some alternatives?

When comparing Mikro orm and PostGIS, you can also consider the following products

Beego - Beego Web is official blog and documentation website for beego app web framework

Slick - A jquery plugin for creating slideshows and carousels into your webpage.

Hibernate - Hibernate an open source Java persistence framework project.

Sequel Pro - MySQL database management for Mac OS X

Dapper - Dapper is a user-friendly object mapper for the .NET framework.

Maptitude - Maptitude is a mapping software that is fitted with GIS features that avail maps and other forms of data regarding the surrounding geographical areas. Read more about Maptitude.

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