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  5. Microsoft SQL Server vs WatermelonDB

Microsoft SQL Server vs WatermelonDB

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
WatermelonDB
WatermelonDB
Stacks12
Followers123
Votes1
GitHub Stars11.3K
Forks626

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.

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Advice on Microsoft SQL Server, WatermelonDB

Erin
Erin

IT Specialist

Mar 10, 2020

Needs adviceonMicrosoft SQL ServerMicrosoft SQL ServerMySQLMySQLPostgreSQLPostgreSQL

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}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| 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.
668k views668k
Comments

Detailed Comparison

Microsoft SQL Server
Microsoft SQL Server
WatermelonDB
WatermelonDB

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

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.

Statistics
GitHub Stars
-
GitHub Stars
11.3K
GitHub Forks
-
GitHub Forks
626
Stacks
21.3K
Stacks
12
Followers
15.5K
Followers
123
Votes
540
Votes
1
Pros & Cons
Pros
  • 139
    Reliable and easy to use
  • 101
    High performance
  • 95
    Great with .net
  • 65
    Works well with .net
  • 56
    Easy to maintain
Cons
  • 4
    Expensive Licensing
  • 2
    Microsoft
  • 1
    Replication can loose the data
  • 1
    Allwayon can loose data in asycronious mode
  • 1
    The maximum number of connections is only 14000 connect
Pros
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty
Integrations
No integrations available
RxJS
RxJS
React
React
SQLite
SQLite
React Native
React Native

What are some alternatives to Microsoft SQL Server, WatermelonDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

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.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

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.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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