Microsoft SQL Server vs WatermelonDB

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Microsoft SQL Server

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WatermelonDB

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Microsoft SQL Server vs WatermelonDB: What are the differences?

## Key Differences between Microsoft SQL Server and WatermelonDB

<Write Introduction here>

1. **Data Storage Model**: Microsoft SQL Server is a traditional relational database management system, storing data in tables with predefined schemas, while WatermelonDB is a more modern database specifically designed for mobile and web applications, utilizing a NoSQL data storage model, enabling flexible data structures.
2. **Offline Support**: WatermelonDB has built-in support for offline data persistence and synchronization, allowing applications to function seamlessly without connectivity, while Microsoft SQL Server requires additional configuration and handling to support offline functionality.
3. **Performance**: Microsoft SQL Server is optimized for large-scale data handling and complex queries, providing high performance for enterprise-level applications, whereas WatermelonDB is geared towards mobile and web applications with a focus on faster data access and smoother user experience.
4. **Query Language**: Microsoft SQL Server uses SQL (Structured Query Language) for querying and managing data, offering a powerful and standardized querying language, whereas WatermelonDB uses a custom query language tailored for client-side database operations, simplifying development for front-end developers.
5. **Cross-Platform Compatibility**: Microsoft SQL Server can run on Windows-based servers and is widely supported across various platforms, whereas WatermelonDB is designed for use primarily on mobile platforms (iOS and Android) and web environments, limiting its cross-platform compatibility compared to SQL Server.
6. **Community Support and Ecosystem**: Microsoft SQL Server benefits from a vast community of users and extensive third-party tools and integrations, providing comprehensive support and resources for developers, while WatermelonDB, being a newer and specialized database solution, may have a smaller community and fewer ecosystem resources available.

In Summary, Microsoft SQL Server and WatermelonDB differ in their data storage models, offline support, performance, query language, cross-platform compatibility, and community support.
Advice on Microsoft SQL Server and WatermelonDB

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

  1. I need to use either MySQL or PostgreSQL on a Linux based OS. Which would be better for this application?
  2. I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.
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Replies (6)

Hi Erin,

Honestly both databases will do the job just fine. I personally prefer Postgres.

Much more important is how you store the audio. While you could technically use a blob type column, it's really not ideal to be storing audio files which are "several hours long" in a database row. Instead consider storing the audio files in an object store (hosted options include backblaze b2 or aws s3) and persisting the key (which references that object) in your database column.

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Aaron Westley
Recommends
on
PostgreSQLPostgreSQL

Hi Erin, Chances are you would want to store the files in a blob type. Both MySQL and Postgres support this. Can you explain a little more about your need to store the files in the database? I may be more effective to store the files on a file system or something like S3. To answer your qustion based on what you are descibing I would slighly lean towards PostgreSQL since it tends to be a little better on the data warehousing side.

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Christopher Wray
Web Developer at Soltech LLC · | 3 upvotes · 451.9K views
Recommends
on
DirectusDirectus
at

Hey Erin! I would recommend checking out Directus before you start work on building your own app for them. I just stumbled upon it, and so far extremely happy with the functionalities. If your client is just looking for a simple web app for their own data, then Directus may be a great option. It offers "database mirroring", so that you can connect it to any database and set up functionality around it!

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Julien DeFrance
Principal Software Engineer at Tophatter · | 3 upvotes · 451.5K views
Recommends
on
Amazon AuroraAmazon Aurora

Hi Erin! First of all, you'd probably want to go with a managed service. Don't spin up your own MySQL installation on your own Linux box. If you are on AWS, thet have different offerings for database services. Standard RDS vs. Aurora. Aurora would be my preferred choice given the benefits it offers, storage optimizations it comes with... etc. Such managed services easily allow you to apply new security patches and upgrades, set up backups, replication... etc. Doing this on your own would either be risky, inefficient, or you might just give up. As far as which database to chose, you'll have the choice between Postgresql, MySQL, Maria DB, SQL Server... etc. I personally would recommend MySQL (latest version available), as the official tooling for it (MySQL Workbench) is great, stable, and moreover free. Other database services exist, I'd recommend you also explore Dynamo DB.

Regardless, you'd certainly only keep high-level records, meta data in Database, and the actual files, most-likely in S3, so that you can keep all options open in terms of what you'll do with them.

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Recommends
on
PostgreSQLPostgreSQL

Hi Erin,

  • Coming from "Big" DB engines, such as Oracle or MSSQL, go for PostgreSQL. You'll get all the features you need with PostgreSQL.
  • Your case seems to point to a "NoSQL" or Document Database use case. Since you get covered on this with PostgreSQL which achieves excellent performances on JSON based objects, this is a second reason to choose PostgreSQL. MongoDB might be an excellent option as well if you need "sharding" and excellent map-reduce mechanisms for very massive data sets. You really should investigate the NoSQL option for your use case.
  • Starting with AWS Aurora is an excellent advise. since "vendor lock-in" is limited, but I did not check for JSON based object / NoSQL features.
  • If you stick to Linux server, the PostgreSQL or MySQL provided with your distribution are straightforward to install (i.e. apt install postgresql). For PostgreSQL, make sure you're comfortable with the pg_hba.conf, especially for IP restrictions & accesses.

Regards,

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Klaus Nji
Staff Software Engineer at SailPoint Technologies · | 1 upvotes · 451.5K views
Recommends
on
PostgreSQLPostgreSQL

I recommend Postgres as well. Superior performance overall and a more robust architecture.

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Pros of Microsoft SQL Server
Pros of WatermelonDB
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
  • 21
    Azure support
  • 17
    Full Index Support
  • 17
    Always on
  • 10
    Enterprise manager is fantastic
  • 9
    In-Memory OLTP Engine
  • 2
    Security is forefront
  • 2
    Easy to setup and configure
  • 1
    Docker Delivery
  • 1
    Columnstore indexes
  • 1
    Great documentation
  • 1
    Faster Than Oracle
  • 1
    Decent management tools
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty

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Cons of Microsoft SQL Server
Cons of WatermelonDB
  • 4
    Expensive Licensing
  • 2
    Microsoft
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    - No public GitHub repository available -

    What is Microsoft SQL Server?

    Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

    What is WatermelonDB?

    WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.

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      What are some alternatives to Microsoft SQL Server and WatermelonDB?
      Oracle
      Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      Apache Aurora
      Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
      Microsoft Access
      It is an easy-to-use tool for creating business applications, from templates or from scratch. With its rich and intuitive design tools, it can help you create appealing and highly functional applications in a minimal amount of time.
      MariaDB
      Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
      See all alternatives