🆚 Bigtable vs. ScyllaDB
Compare technologies based on real-world usage data *- 📈 Bigtable is as popular as ScyllaDB.
- 🌎 Bigtable is more popular in the United States, Germany, and Italy.
- 🌎 ScyllaDB is more popular in Japan, Russia, and Brazil.
Type
Database technology
Database technology
About
Bigtable is a low-latency, high-throughput NoSQL and key-value database.
Scylla is a real-time, distributed database that is API-compatible with Apache Cassandra and Amazon DynamoDB.
Headquarters
Mountain View, California, United States
Sunnyvale, California, United States
Pricing
Free version ❌
Compute capacity$0.65/node/hour
Data storage
SSD$0.17/GB/month
HDD$0.026/GB/month
Free tier ✔️Max 10TB hard drive space of all ScyllaDB servers + 50vCPU per organization
ScyllaDB Cloud$2,800+/month
Popularity
Determined by the number of sites using each technology.
Bigtable database technology is as popular as ScyllaDB.
Total websites
Market share
Databases
Popularity by country
Determined by the number of sites detected from each country.
Bigtable is more popular in the United States, Germany, and Italy, while ScyllaDB is more popular in Japan, Russia, and Brazil.
United States
Japan
Germany
Russia
Brazil
Italy
Sweden
France
Singapore
United Kingdom
Popularity by domain category
Determined by the number of sites in each category.
Bigtable is more popular among sites focused on Internet services, finance and banking, and streaming media, while ScyllaDB is more commonly used on business, software and hardware, and entertainment sites.
Business
Internet Services
Finance/Banking
Software/Hardware
Entertainment
Travel
Streaming Media
Portal Sites
Online Shopping
Media Sharing
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
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.
Cassandra