ScyllaDB is known for its remarkable speed, efficiency, and reliability. It operates with minimal resources, supports large data volumes, and allows for meticulous fine-tuning. Enhanced by Seastar, it offers a performance edge over Cassandra and prioritizes ease of use with robust data synchronization.
| Product | Mindshare (%) |
|---|---|
| ScyllaDB | 7.0% |
| MongoDB Enterprise Advanced | 13.4% |
| Redis | 8.7% |
| Other | 70.9% |
| Type | Title | Date | |
|---|---|---|---|
| Category | NoSQL Databases | Apr 27, 2026 | Download |
| Product | Reviews, tips, and advice from real users | Apr 27, 2026 | Download |
| Comparison | ScyllaDB vs MongoDB Enterprise Advanced | Apr 27, 2026 | Download |
| Comparison | ScyllaDB vs Microsoft Azure Cosmos DB | Apr 27, 2026 | Download |
| Comparison | ScyllaDB vs Couchbase Enterprise | Apr 27, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Redis | 4.4 | 8.7% | 100% | 26 interviewsAdd to research |
| MongoDB Enterprise Advanced | 4.1 | 13.4% | 92% | 82 interviewsAdd to research |
ScyllaDB offers a free basic option, a more advanced self-managed enterprise option, and a fully managed cloud database option - providing flexible NoSQL database solutions for different needs and scales.
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 6 |
| Company Size | Count |
|---|---|
| Small Business | 66 |
| Midsize Enterprise | 29 |
| Large Enterprise | 106 |
ScyllaDB stands out for its capability in high-volume data handling, making it ideal for distributed systems. It integrates easily with APIs and supports user-defined types, providing flexibility through Cassandra SDK and DynamoDB. High availability, effective partitioning, easy updates, and rapid query responses enhance its appeal for organizations dealing with real-time analytics and time-series data management. However, users have noted the complexity in setup compared to MongoDB or Postgres and have highlighted the need for improvements in areas like data export, deletion processes, and documentation. There are also challenges with transactions, support response, compatibility, and AWS integration, with some requiring custom commands which may affect universality.
What are the key features of ScyllaDB?Industries like telecommunications, advertising, mobility services, and security implement ScyllaDB for managing extensive datasets and securing real-time data access. Its scalability and efficiency make it a preferred choice for data transformation services, harmonizing complex data flows with real-time analytics needs.
IBM, Investing.com, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung
| Author info | Rating | Review Summary |
|---|---|---|
| Director of Engineering at Ola | 4.0 | We use ScyllaDB for massive data, finding its performance and scalability good and reliable. However, it failed to deliver on promised ROI and compaction. Support and ticketing need improvement, and enterprise costs are high without clear benefits. |
| Senior Database Administrator at Interswitch | 4.0 | I chose ScyllaDB for its exceptional speed and scalability with heavy read/write workloads, despite needing custom queries for some commands. While stable, I emphasize that new users require support due to limited open-source resources and information. |
| Lead Network Engineer at First Orion | 4.0 | I value ScyllaDB for its data synchronization, failover, and scalability, despite facing integration and free-version stability issues. Its performance and support are strong, and I recommend this powerful distributed database. |
| Senior Software Engineer at Extramarks Education India | 3.5 | I migrated to ScyllaDB from MongoDB for its security, fast updates, and CDC. Despite slightly slower large-scale performance and poor documentation for new users, I found it a valuable, safer alternative with good support, making it worthwhile. |
| Software Analyst at CLSA | 2.5 | I found ScyllaDB fast and distributed for large-scale use. However, its complex, expensive setup and high operational burden made me prefer simpler, cheaper options like ClickHouse, recommending ScyllaDB only for existing Cassandra users. |
| Observability Lead at Tubi | 5.0 | I use ScyllaDB for ad data management, finding its efficiency, reliability, and scalability excellent. Setup was straightforward. While occasional performance issues arise, the support team is responsive and resolves them, making it a valuable tool. |
| Staff DBRE at SecurityScorecard | 3.5 | I use ScyllaDB for heavy data ingestion due to its speed and high volume handling. While excellent for low latency, its deletion process needs improvement, and a query-first data modeling approach is vital for optimal performance. |
| Enterprise Account Manager at Frameworks | 4.5 | I use ScyllaDB for real-time dashboards and find it very easy, fast, and stable for time series data. Setup was straightforward, and its scalability is great. I rate it 9/10. |
