🆚 Microsoft SQL Server vs. ScyllaDB

Compare technologies based on real-world usage data *

Type

Database technology
Database technology

About

Microsoft SQL Server is a relational database management system developed by Microsoft.

It supports Transact-SQL (T-SQL) as its query language, runs on both Windows and Linux platforms, includes features such as Always On Availability Groups, in-memory OLTP, Transparent Data Encryption, and row-level security.

Scylla is a real-time, distributed database that is API-compatible with Apache Cassandra and Amazon DynamoDB.

Headquarters

Redmond, Washington, United States
Sunnyvale, California, United States

Website

Pricing

Free version ✔️Express
Pay-as-you-go
Standard$73/core/month
Enterprise$274/core/month
Free tier ✔️Max 10TB hard drive space of all ScyllaDB servers + 50vCPU per organization
ScyllaDB Cloud$2,800+/month

Categories

Databases › Rank #4
Databases › Rank #18

Popularity

Determined by the number of sites using each technology.

Microsoft SQL Server database technology is 171 times more popular than ScyllaDB.
Total websites

Market share

Databases

Popularity by country

Determined by the number of sites detected from each country.

Microsoft SQL Server is more popular than ScyllaDB in all countries.
United States
United Kingdom
Australia
Denmark
Netherlands
Canada
Germany
Czech Republic
Switzerland
Japan

Awards

Popularity by domain category

Determined by the number of sites in each category.

Microsoft SQL Server is more popular than ScyllaDB in all market segments.
Business
Marketing/Merchandising
Health
Finance/Banking
Education/Reference
Travel
Online Shopping
Non-Profit/Advocacy/NGO
Government/Military
Real Estate

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,510
View more ➝
Name
Rank
#123
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.