🆚 MongoDB vs. ScyllaDB

Compare technologies based on real-world usage data *

Type

Database technology
Database technology

About

MongoDB is a NoSQL, collection-oriented, schema-free document database that supports deployment across cloud or on-premises.

It stores documents in BSON (JSON-like) format, offers ACID multi-document transactions, powerful indexing (including geospatial and text), horizontal scalability via sharding, and high availability through replica sets.

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

Headquarters

New York, United States
Sunnyvale, California, United States

Website

Pricing

Atlas
Free version ✔️512MB of storage, shared RAM and vCPU
Dedicated Cluster$0.08+/hour
Flex Cluster$0.011+/hour
Enterprise Advanced$15,480/VirtualServer/year
Free tier ✔️Max 10TB hard drive space of all ScyllaDB servers + 50vCPU per organization
ScyllaDB Cloud$2,800+/month

Categories

Databases › Rank #8
Databases › Rank #18

Popularity

Determined by the number of sites using each technology.

MongoDB database technology is 23 times more popular than ScyllaDB.
Total websites

Market share

Databases

Popularity by country

Determined by the number of sites detected from each country.

MongoDB is more popular than ScyllaDB in all countries.
United States
Germany
United Kingdom
Canada
France
Spain
Mexico
Brazil
Switzerland
Japan

Awards

Popularity by domain category

Determined by the number of sites in each category.

MongoDB is more popular than ScyllaDB in all market segments.
General News
Business
Entertainment
Online Shopping
Marketing/Merchandising
Sports
Finance/Banking
Travel
Auctions/Classifieds
Portal Sites

Top sites

Top-ranked sites that use these technologies.

Name
Rank
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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.