Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

Vitess

Stacks66

Followers166

Votes0

Microsoft SQL Server vs Vitess: What are the differences?

Introduction: In this Markdown code, we will discuss the key differences between Microsoft SQL Server and Vitess, specifically focusing on six main aspects. These differences will provide a clearer understanding of each database management system's unique features and functionalities.

Architecture: Microsoft SQL Server is a traditional relational database management system (RDBMS) designed primarily for on-premises deployments. It offers a comprehensive set of features and extensive management tools. In contrast, Vitess is a cloud-based database-sharding system designed specifically for scaling MySQL deployments horizontally. It provides automatic sharding and transparent query routing, enabling distributed database operations.
Scalability: While both SQL Server and Vitess offer scalability options, their approaches differ significantly. SQL Server primarily scales vertically, which means scaling capacity by adding more powerful hardware. On the other hand, Vitess offers horizontal scalability, allowing you to scale by adding more servers to distribute the load across multiple instances.
High Availability: SQL Server provides high availability features like Always On Availability Groups, which enable database replication and automatic failover. Vitess, being a sharding system, inherently achieves high availability by distributing data across multiple shards. It provides built-in replication and seamless failover in case of individual shard failures.
Data Sharding: SQL Server offers partitioning as a way to divide a large table into smaller manageable parts. Vitess, being a sharding system, offers automatic data sharding across multiple MySQL instances. It handles the distribution and placement of data shards, providing transparent access to the shards and optimizing query routing.
Platform Compatibility: SQL Server is primarily designed to run on Windows operating systems. It offers limited support for Linux, but the full range of features is available on Windows platforms. Vitess, on the other hand, is cloud-native and designed to run on popular cloud platforms like Kubernetes. It offers multi-cloud compatibility, allowing deployments on various cloud providers.
Community and Ecosystem: SQL Server has a vast community and ecosystem built around it, providing extensive support and a wide range of third-party tools and extensions. It has been in the market for a long time, making it well-established and mature. Vitess, being a relatively newer technology, has a smaller community but is gaining popularity due to its focus on scalability and cloud-native architecture.

In summary, Microsoft SQL Server and Vitess differ in their architecture (traditional RDBMS vs. distributed sharding), scalability approach (vertical vs. horizontal), high availability mechanisms, data sharding methods, platform compatibility, and community/ecosystem support. These differences make each database management system suitable for specific use cases and deployment scenarios.

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Advice on Microsoft SQL Server, Vitess

Erin

IT Specialist

Mar 10, 2020

Needs adviceon

Microsoft SQL Server

MySQL

PostgreSQL

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:

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?
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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Detailed Comparison

Microsoft SQL Server	Vitess
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.
-	Scalability; Connection pooling; Manageability
Statistics
Stacks 21.3K	Stacks 66
Followers 15.5K	Followers 166
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	Amazon RDS Kubernetes MySQL

What are some alternatives to Microsoft SQL Server, Vitess?

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

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 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 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

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 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

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 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

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 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.