G2 Vendor Directory

Amazon Relational Database Service (RDS) vs. ScyllaDB

A side-by-side comparison based on G2 review data.

MetricAmazon Relational Database Service (RDS)

by Amazon Web Services (AWS)

ScyllaDB

by ScyllaDB

Overall rating4.54.5
Review count907429
Ease of use9.08.8
Ease of setup9.08.5
Quality of support8.88.8
Meets requirements9.19.0
NPS66.16454267.058824
Small Business28.8%41.7%
Mid-Market37.5%29.6%
Enterprise33.7%28.7%
Total page views6461,114
Total LLM citations2,3893,096

Amazon Relational Database Service (RDS)

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines.

Pros

  • Ease of Use
  • Scalability
  • Setup Ease
  • Security
  • Backup Services
  • Reliability

ScyllaDB

ScyllaDB is a specialty database for workloads that require predictable performance at scale. It’s adopted by organizations that require ultra-low latency, even at millions of features or operations per second, billions of embeddings, or petabytes of storage. ScyllaDB’s shard-per-core architecture taps the full power of modern infrastructure, translating to fewer nodes, less admin, and lower costs. Over 400 companies such as Disney+, Discord, Tripadvisor, Expedia, Zillow, Starbucks, and Comcast use ScyllaDB for their toughest database challenges.

Pros

  • Performance
  • Speed
  • Scalability
  • Low Latency
  • Ease of Use
  • Querying