Amazon Athena vs. ScyllaDB
A side-by-side comparison based on G2 review data.
| Metric | Amazon Athena | ScyllaDB |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 173 | 429 |
| Ease of use | 9.0 | 8.8 |
| Ease of setup | 9.2 | 8.5 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 8.7 | 9.0 |
| NPS | 61.111111 | 67.058824 |
| Small Business | 22.0% | 41.7% |
| Mid-Market | 27.2% | 29.6% |
| Enterprise | 50.9% | 28.7% |
| Total page views | 181 | 1,114 |
| Total LLM citations | 447 | 3,096 |
Amazon Athena
Amazon Athena is a serverless, interactive query service that enables users to analyze large datasets directly in Amazon S3 using standard SQL. With no infrastructure to manage, Athena allows for quick, ad-hoc querying without the need for complex ETL processes. It automatically scales to execute queries in parallel, delivering fast results even for complex queries and large datasets. Key Features and Functionality: - Serverless Architecture: Athena requires no server management, automatically handling infrastructure scaling and maintenance.
- Querying
- Big Data Handling
- Analytics
- Ease of Use
- Data Analysis
- Features
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.
- Performance
- Speed
- Scalability
- Low Latency
- Ease of Use
- Querying