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  5. Microsoft SQL Server vs eXist-db

Microsoft SQL Server vs eXist-db

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server
Microsoft SQL Server
Stacks21.3K
Followers15.5K
Votes540
eXist-db
eXist-db
Stacks8
Followers17
Votes0

Microsoft SQL Server vs eXist-db: What are the differences?

# Introduction

1. **Data Model**: Microsoft SQL Server uses a relational data model, while eXist-db utilizes a NoSQL Native XML Database model.
2. **Query Language**: Microsoft SQL Server primarily uses Transact-SQL as its query language, whereas eXist-db supports XQuery, XPath, and XUpdate for querying XML data.
3. **Licensing**: Microsoft SQL Server is a proprietary software that requires the purchase of licenses, while eXist-db is an open-source software available for free.
4. **Supported Platforms**: Microsoft SQL Server is designed to run on Windows operating systems, whereas eXist-db is compatible with multiple operating systems including Windows, macOS, and Linux.
5. **Scalability**: Microsoft SQL Server offers better scalability and performance for large-scale enterprise applications due to its robust architecture, whereas eXist-db is more suitable for smaller-scale projects or scenarios with smaller datasets.
6. **Community Support**: eXist-db has a strong community support system where users can contribute plugins and extensions, while Microsoft SQL Server has a larger community of professional developers but fewer contributions from individual users.

In Summary, Microsoft SQL Server and eXist-db differ in their data models, query languages, licensing, supported platforms, scalability, and community support.

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Advice on Microsoft SQL Server, eXist-db

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
eXist-db
eXist-db

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

It is known as High-performance native XML database engine and all-in-one solution for application building.

-
Native XML Database; Rich Application server; FullText indexing; NoSQL; XQuery Processor; XML processing stack; betterForm XForms integration
Statistics
Stacks
21.3K
Stacks
8
Followers
15.5K
Followers
17
Votes
540
Votes
0
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
No community feedback yet
Integrations
No integrations available
Meteor
Meteor
MEAN
MEAN
Datadog
Datadog
Clever Cloud
Clever Cloud
Mongoose
Mongoose
Sails.js
Sails.js
Metabase
Metabase

What are some alternatives to Microsoft SQL Server, eXist-db?

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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