# ScyllaDB Reviews **Vendor:** ScyllaDB **Category:** [Key Value Databases](https://www.g2.com/categories/key-value-databases) **Average Rating:** 4.5/5.0 **Total Reviews:** 427 ## About 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. ## ScyllaDB Pros & Cons **What users like:** - Users praise the **exceptional performance** of ScyllaDB, noting its speed and ability to handle heavy workloads effortlessly. (57 reviews) - Users enjoy the **exceptional speed** of ScyllaDB, praising its responsiveness and ability to handle heavy workloads seamlessly. (49 reviews) - Users praise ScyllaDB for its **exceptional scalability** , handling high loads and millions of requests effortlessly. (46 reviews) - Users value the **low latency** of ScyllaDB, experiencing quick results even under heavy workloads. (39 reviews) - Users find ScyllaDB's **ease of use** exceptional, allowing for quick setup and straightforward implementation in various scenarios. (14 reviews) - Data Handling (11 reviews) - High Availability (11 reviews) - Querying (11 reviews) - Easy Implementation (9 reviews) - Features (9 reviews) **What users dislike:** - Users face a **steep learning curve** with ScyllaDB initially, especially without extensive community support or clear documentation. (21 reviews) - Users find the **limited features** of ScyllaDB challenging, especially compared to more comprehensive tools like MongoDB. (13 reviews) - Users find **difficult learning** curves with ScyllaDB intimidating for new developers without prior knowledge of distributed systems. (9 reviews) - Users find the **difficult setup** of ScyllaDB challenging, requiring time and understanding of its architecture. (9 reviews) - Users experience a **steep learning curve** with ScyllaDB, finding it challenging for those unfamiliar with distributed systems. (8 reviews) - Complex Setup (7 reviews) - Users find ScyllaDB to be **expensive** , impacting resource availability and complicating the learning process. (6 reviews) - Poor Usability (6 reviews) - Limited Access (4 reviews) - Performance Issues (4 reviews) ## ScyllaDB Reviews ### 1. Blazing Fast Performance and Seamless Cassandra Compatibility **Rating:** 4.5/5.0 stars **Reviewed by:** Dave C. | Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** November 12, 2025 **What do you like best about ScyllaDB?** The performance is really impressive - we're seeing much lower latency and way better throughput compared to what we had before. The fact that it's compatible with Cassandra made our migration pretty smooth, and honestly, the speed improvements alone made it worth the switch. **What do you dislike about ScyllaDB?** It took us a good bit of time to get comfortable with it, especially coming from a simpler database setup. The docs are okay but sometimes feel a bit sparse - we spent way too much time googling things during our initial deployment. Would love to see more practical examples and troubleshooting tips for when things don't go as planned. **What problems is ScyllaDB solving and how is that benefiting you?** We needed a database that could handle our growing data volumes without slowing down. ScyllaDB solved our performance bottlenecks - queries that used to take seconds now finish in milliseconds. It's also helping us save on infrastructure costs since we need fewer nodes to handle the same workload. The scalability has been a game changer for us as our user base keeps growing. ### 2. Best Performance and Low Latency with NoSQL Database (ScyllaDB) **Rating:** 5.0/5.0 stars **Reviewed by:** Vaibhav Y. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** February 24, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB's performance, especially because it's impacted by its indexing and the whole database being written in C++, which serves as the building block for a faster NoSQL DB. It's great for storing our ERP system, especially as we introduce new features and are unsure about the schema size. This NoSQL wide column structure allows us to store a wide range of data. Performance is great compared to MongoDB, and it has very low latency. We experienced a decrease in latency while debugging through the log. **What do you dislike about ScyllaDB?** I find ScyllaDB's UI to be very minimal. It doesn't have native integration for cloud functions like MongoDB or Firebase. Also, live streaming requires extra setup compared to Firebase. **What problems is ScyllaDB solving and how is that benefiting you?** With ScyllaDB, I don’t need to worry about data size or schema types. It handles our ERP system(Gateway group of companies erp systen) flawlessly with great performance and low latency, improving user experience significantly. ### 3. Unmatched Performance and Scalability, but Steep Learning Curve **Rating:** 4.5/5.0 stars **Reviewed by:** Mallik c. | Sr. Enterprise Cloud Architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 28, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB for its impressive performance and speed, offering 10 times more performance compared to Cassandra. It's rewritten in C++ instead of Java, which provides predictable low latency, like p99 latencies under heavy load, and overcomes JVM limitations. I also appreciate its ability to tune settings, reducing administrative overheads and making it cost-efficient as well. **What do you dislike about ScyllaDB?** It could be the steep learning curve. You know, optimizing and, managing the ScyllaDB at scale, it requires deep knowledge of distributed systems. Especially around the horizontal scaling using the shard key selections and data modeling. Sometimes it warrants a complex data modeling, because this is crucial. To avoid those expensive mistakes at a later stage. The third one would be a, smaller community. So even though it is growing, but there is still a smaller community, compared to the Postgres and other databases available. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB for its flexible schema and horizontal scaling, solving our high-performance application needs with low latency, particularly during heavy loads like 'Black Friday'. Its performance outpaces peers, offering cost efficiency by eliminating administrative overheads. ### 4. Perfect for Storing Blockchain Data and Reducing API Costs **Rating:** 4.5/5.0 stars **Reviewed by:** Parita V. | Full Stack Developer, Computer & Network Security, Mid-Market (51-1000 emp.) **Reviewed Date:** November 25, 2025 **What do you like best about ScyllaDB?** In Blockchain, we deal with a massive amount of transaction data. ScyllaDB handles high-speed writes and reads without slow down for storing our transactional data fron ethereum(other Blockchains) chain to our local storage just to make it more acessible and faster. **What do you dislike about ScyllaDB?** To get the absolute best results, you need to understand how to model your data correctly (partition keys and clustering keys). **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB has solved two major problems for us: cost and latency. Fetching data directly from the blockchain through external APIs is very expensive. By storing the specific transaction data we need in ScyllaDB, we reduced our API costs significantly. Official block explorers can be slow. Because ScyllaDB is so fast, our internal tool now outperforms many public explorers. Our users can analyze their contract transactions on our platform with much better latency, which has improved overall experience. ### 5. High Throughput and Low Latency, But Configuration Could Be Simpler **Rating:** 3.5/5.0 stars **Reviewed by:** Prasanth K. | Enterprise Architect | Cloud Transformation Leader | Driving Multi-Cloud Strategy, Solutions | DevSecOps Excellence | Innovation Resilient Infrastructure at Scale, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** November 12, 2025 **What do you like best about ScyllaDB?** I'm extremely happy about ScyllaDB's low latency and seamless scalability, especially when compared to the delayed processes in traditional databases. Its ability to handle high write throughput with less latency really stood out. We also realized somewhat better analytics when compared to traditional options, and I experienced more reliable monitoring with it. **What do you dislike about ScyllaDB?** Cluster setup took us some time, so that's one area I would want it to simplify. Like a one-click setup for POC purposes with defaults. Also, auto-recommendations like optimizing, cost savings, etc., could be on par with others. The initial setup was a bit complex considering my novice experience with ScyllaDB. **What problems is ScyllaDB solving and how is that benefiting you?** I realized better throughput and minimal latency with ScyllaDB. It improved scalability and performance bottlenecks, leading to faster analytics and more reliable monitoring. ### 6. High-Performance with Cost Efficiency, Yet Needs Better Monitoring Support **Rating:** 5.0/5.0 stars **Reviewed by:** Sivaguru Jeganatharaja J. | SYstem Engineer, Marketing and Advertising, Enterprise (> 1000 emp.) **Reviewed Date:** March 13, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB for its significant cost savings and compatibility with Cassandra. The operational simplicity and robust ecosystem make it efficient to use. I value the high performance on fewer nodes, which reduces infrastructure costs due to CPU optimization and the ability to work with smaller clusters. The auto-tuning and self-optimization features help cut down on manual DBA overhead. I also appreciate the strong community and OEM support, which reduce downtime risks and facilitate adoption across production environments. Additionally, I found the initial setup to be very easy, especially with managed services, and the process is familiar for Cassandra users but simplified for new users, particularly with automated tuning scripts. **What do you dislike about ScyllaDB?** The learning curve around the shard-per-core architecture and tuning is steep for new team members who are not familiar with it. Monitoring integration and developer SDK still lag behind other databases like Cassandra. Although ScyllaDB's native monitoring stack with Prometheus and Grafana works well, it requires manual setup and configuration compared to managed DB services like Azure and AWS, and using popular observability tools like New Relic or DataDog with pre-built alerting templates for common failures would be much better than having to write numerous queries in Prometheus. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB helps me overcome scaling bottlenecks, reduce high operational costs, and manage data-intensive applications. Its high performance on fewer nodes optimizes CPU use, saving infrastructure costs. Auto-tuning reduces DBA overhead, while strong community and OEM support minimize downtime risks. ### 7. Solid Database Choice for Cost-Conscious Projects **Rating:** 3.0/5.0 stars **Reviewed by:** Taniya S. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** I love how the ScyllaDB community is rising right now. I also love how they have a lower cost, especially as a startup or small organization where we are very cost stringent and expect a lot more features from database systems. The initial setup of ScyllaDB was very easy for me. The documentation is great to refer to, and I just created a cluster and deployed it on ScyllaDB Cloud easily. **What do you dislike about ScyllaDB?** Right now, it's a simple database implementation I have done, and, we still have to migrate. We have the backup data from Supabase, and, we have to implement it yet on ScyllaDB. So I think I would need time to give a better answer for that. **What problems is ScyllaDB solving and how is that benefiting you?** I expect ScyllaDB to resolve low latency and reliability issues for my global ranking portal, where contributors can connect and recruiters can find top talent. It offers all essential database features needed for the project. ### 8. Efficient DB with High Performance, Minor Learning Curve **Rating:** 4.0/5.0 stars **Reviewed by:** Vinayak M. | Associate Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB's performance-oriented architecture and its compatibility with existing Cassandra tooling, which makes it efficient and scalable. Its focus on efficiency and scalability stands out as key strengths for me. I appreciate how it allows for familiar APIs and workflows to be reused without major changes during evaluations. It's great for evaluating system disparities, ensuring low latency and predictable behavior. Its efficient use of underlying hardware and ease of integration into distributed data architectures needing to grow while maintaining consistent performance makes it valuable. **What do you dislike about ScyllaDB?** One idea could be, the initial learning curve, especially for people who are new to the distributed database or performance tuning concepts. Some configurations could use some work on that. And establish clearer guidance. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB addresses high throughput and low latency challenges, maintaining predictable performance at scale. Its performance-oriented architecture and compatibility with existing Cassandra tooling enhance efficiency and scalability, helping us evaluate system disparities and fit into scalable distributed data architectures. ### 9. High performance distributed database with scaling **Rating:** 4.5/5.0 stars **Reviewed by:** Rajiv K. | Product Owner - Technology Strategy and AI Integration, Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2025 **What do you like best about ScyllaDB?** What I like most about ScyllaDB is its performance and efficiency. It handles very high throughput with low latency, which is critical for real time and large scale data workloads. I also appreciate that it stays compatible with the Cassandra ecosystem, so teams can adopt it without major changes. The way it uses hardware resources efficiently makes operations much simpler. **What do you dislike about ScyllaDB?** One thing I find challenging with ScyllaDB is the learning curve when it comes to tuning and operating it at scale. While it delivers strong performance, teams still need a good understanding of distributed systems to get the most out of it. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB helps solve the challenge of handling very large volumes of data with low latency and predictable performance. In systems where throughput and response time matter, that makes a big difference. It allows applications to scale without constant performance bottlenecks. For me, the benefit is more stable performance, better use of infrastructure, and less effort spent dealing with database slowdowns as data and traffic grow. ### 10. Scalable High Performance with Low Latency **Rating:** 4.5/5.0 stars **Reviewed by:** dharshini p. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** I use ScyllaDB for building high performance backend systems that need large volumes of data with very low latency. I like its performance and latency, as it can process large numbers of read and write operations while keeping the response time fast. I also like its ability to scale easily. Additionally, it's scalable and compatible with Apache Cassandra APIs, which makes integration with tools and systems much easier. **What do you dislike about ScyllaDB?** One thing that could be improved in ScyllaDB is the complexity of the initial setup. For beginners, cluster configuration and tuning can take some time and requires prior knowledge. More beginner-friendly, simplified tools and setup, clearer responses for common deployment scenarios, and automated config options could help developers start more easily. I think more friendly guides could make the process much easier for new users. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB for building high-performance backend systems that handle large data volumes with low latency, efficiently processing many read and write requests even under high traffic, keeping the system fast and reliable as data and users grow. ### 11. Scalable and Efficient with Compatibility Plus **Rating:** 4.0/5.0 stars **Reviewed by:** Hans D. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB's impressive performance and efficiency, delivering very low latency even under heavy workloads. Its excellent use of available hardware allows us to handle large datasets with fewer nodes, which helps in reducing operational costs. The seamless compatibility with Apache Cassandra is also a big plus, as it makes adoption easier while we still benefit from significant performance improvements and scalability. I value how it allows us to keep our APIs responsive and services stable during traffic spikes. **What do you dislike about ScyllaDB?** One area that could be improved in ScyllaDB is the operational learning curve. While it performs extremely well once properly configured, tuning and managing clusters can require solid distributed systems knowledge. Some ecosystem tools and documentation are also less mature compared to Apache Cassandra, so troubleshooting or advanced setups may take additional effort. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB as a scalable database for high throughput and low latency needs. It handles large data volumes without bottlenecks, maintains low latency under load, and efficiently manages datasets. Its Cassandra compatibility eases integration while providing predictable performance and better hardware utilization. ### 12. ScyllaDB: Predictable Low Latency and High Throughput at Scale **Rating:** 4.5/5.0 stars **Reviewed by:** ABHASH CHAKRABORTY 2. | Develoer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** ScyllaDB delivers extremely low latency and high throughput at scale, which helps keep performance predictable even under heavy load. Its shard-per-core architecture and efficient I/O scheduling allow it to fully utilize modern hardware without constant tuning, and that can reduce the number of nodes we need. I also appreciate that it’s largely Cassandra-compatible while being much faster, so you get a familiar data model and ecosystem, along with better tail latencies. **What do you dislike about ScyllaDB?** ScyllaDB still comes with a learning curve, particularly when it comes to data modeling and capacity planning. If you get the model or the underlying infrastructure wrong, performance can degrade quickly. It also assumes you have solid hardware and that you make careful choices around storage and memory, so it’s less forgiving than simpler databases. Because of that, it can feel like overkill for smaller or more generic workloads. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB addresses our need for consistently low-latency reads and writes on large, write-heavy workloads where traditional relational databases or slower NoSQL options tend to struggle. It allows us to support real-time, high-throughput use cases—such as event ingestion and time-series or key-value access—on fewer nodes. As a result, we can reduce infrastructure costs while still meeting strict SLAs. ### 13. Predictable, Ultra-Low Latency Performance at Scale with ScyllaDB **Rating:** 4.5/5.0 stars **Reviewed by:** Abhash C. | Tech & Innovation Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** ScyllaDB delivers extremely low latency and high throughput at scale, so it keeps performance predictable even under heavy load. Its shard-per-core architecture and efficient I/O scheduling let it fully utilize modern hardware without constant tuning, which reduces the number of nodes we need. I also like that it is largely Cassandra-compatible while being much faster, so you get a familiar data model and ecosystem with better tail latencies. **What do you dislike about ScyllaDB?** ScyllaDB still has a learning curve, especially around data modeling and capacity planning; if you get the model or infrastructure wrong, performance can degrade quickly. It also expects solid hardware and careful storage and memory choices, so it is less forgiving than simpler databases and can feel like overkill for small or generic workloads. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB solves the need for consistently low-latency reads and writes on large, write-heavy workloads where traditional relational databases or slower NoSQL options would struggle. This lets us handle real-time, high-throughput use cases (like event ingestion and time-series or key-value access) on fewer nodes, lowering infrastructure costs while meeting strict SLAs. ### 14. High-Performance with Learning Curve Challenges **Rating:** 4.0/5.0 stars **Reviewed by:** Vaibhav V. | Software developer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I use ScyllaDB for handling large-scale data in high-performance applications. I like its high performance and low latency when handling large amounts of data. It is designed to efficiently use modern hardware, making data processing very fast. Its compatibility with Apache Cassandra is great since it makes it easier for developers to migrate existing systems. I find the shard-per-core architecture, which efficiently utilizes modern multi-core CPUs, to improve performance and resource usage. Its compatibility with Apache Cassandra supports the same CQL (Cassandra Query Language), making migration easier without needing major code changes. The ability to deliver very low latency and high throughput is ideal for real-time applications that process large volumes of data. **What do you dislike about ScyllaDB?** One area that could be improved in ScyllaDB is its learning curve for beginners, especially when setting up and managing clusters. The configuration and performance tuning can be complex for new users. Additionally, better documentation and simpler setup tools would make it easier for developers to get started quickly. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB handles large-scale data efficiently, providing high speed and low latency. It supports real-time applications with key-value data storage and retrieval, making scalable, fast, and reliable backend systems possible. ### 15. Predictable Performance, Low Latency at Scale with ScyllaDB **Rating:** 5.0/5.0 stars **Reviewed by:** Reshma P. | software developer, Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I appreciate ScyllaDB for its predictable low latency at scale, with P99 latency staying in the single-digit millisecond range even under heavy load. I like that we can use fewer nodes while achieving the same or better throughput, which makes our cluster much smaller. The ability to store both our key-value and vector workloads in one database is a big plus, eliminating the need for a separate vector database for RAG and semantic caching. The CQL compatibility is beneficial as it uses the same query language and driver model as Cassandra, easing both migration and hiring. The Shard-per-core-design is a standout feature—it scales performance predictably with core additions, reducing surprises under load and minimizing the need for constant tuning to avoid hotspots or mysterious latency spikes. **What do you dislike about ScyllaDB?** Vector search is only on ScyllaDB Cloud right now, and we'd like to see it in open-source/self-managed for on-prem and air-gapped use. Data modeling is strict: partition key design and row/partition size really matter, and it's easy to paint yourself into a corner if you don't plan upfront. There's also a learning curve around compaction strategies, consistency levels, and limits (e.g., tables per keyspaces, partition size) that we had to absorb before we felt confident. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB provides high write throughput and low latency at scale, allowing us to use fewer nodes with predictable performance. It unifies key-value and vector data needs, eliminating the need for separate databases, and facilitates scalable capacity planning with its shard-per-core design. ### 16. High Performance but Needs a Bigger Ecosystem **Rating:** 4.0/5.0 stars **Reviewed by:** Subhendu D. | Technical Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I use ScyllaDB for high throughput backend services that require low latency reads and writes at scale. I like its sharding and shard per core architecture. I also appreciate its compatibility with Cassandra, supporting Cassandra drivers and CQL, which my organization was already experienced with. Switching to ScyllaDB was easy because the same queries and driver configurations worked without code changes. It integrates well with Apache Cassandra drivers, monitoring tools like Prometheus, and visualization platforms like Grafana. The initial setup was fairly straightforward, thanks to the available documentation and compatibility with Apache Cassandra. ScyllaDB delivers excellent performance and scalability for high-throughput workloads. **What do you dislike about ScyllaDB?** I think the ecosystem and community resources are still smaller, which can be a bit limiting. The configuration also feels a bit manual, especially when it comes to node removal. I feel expanding documentation with more real-world architecture examples, migration guides from Apache Cassandra, and best-practice patterns for scaling and tuning clusters would help developers adopt it faster. A larger community presence with more open discussions, tutorials, and troubleshooting resources would make it easier for teams to resolve issues and learn from practical production use cases. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB for high-throughput backend services requiring low latency at scale. It manages large volumes of data with very low latency and is compatible with Cassandra. ### 17. High-Performance ScyllaDB for Large-Scale Workloads with Cassandra Compatibility **Rating:** 5.0/5.0 stars **Reviewed by:** Malehlohonolo M. | Legal Content Contributor, Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** ScyllaDB stands out for its performance and efficiency when working with large-scale, data-intensive workloads. The architecture is designed to fully utilize modern hardware, which helps deliver low latency and high throughput even under heavy traffic. I also appreciate that it is compatible with Cassandra, which makes migration or integration easier for teams already familiar with that ecosystem. The documentation and technical talks from the community make it easier to understand distributed database concepts and real-world scaling challenges. **What do you dislike about ScyllaDB?** Because ScyllaDB is designed for high-scale distributed systems, it can feel complex for beginners who are new to distributed databases. Some concepts around cluster management, tuning performance, and infrastructure requirements may require a learning curve. Smaller teams or projects that do not require extreme scale might find it more advanced than what they need compared to simpler managed databases. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB addresses the challenge of handling large volumes of real-time data with consistent performance. It is especially useful for applications that require low latency and high availability, such as analytics platforms, messaging systems, and large online services. From a learning and research perspective, exploring ScyllaDB helps deepen my understanding of distributed databases, scalability, and modern data infrastructure, which are important areas as technology and data governance continue to evolve. ### 18. Massive Throughput, Slight Learning Curve **Rating:** 4.0/5.0 stars **Reviewed by:** Ankit A. | Tibco EBX Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I find ScyllaDB to be really effective for managing the world's largest data migrations with 99.9% data quality and minimal downtime. I really like the High Velocity Migration and scalable metadata storage features. ScyllaDB acts as a staging layer for high volume migrations and offers high speed. It also handles scalable metadata storage efficiently by managing large catalogs for metadata and business rules. It works well for massive throughput and predictive latency. I also appreciate that setting it up on the cloud is easiest, especially using Docker, though it requires knowledge of persistence storage and networking. **What do you dislike about ScyllaDB?** I think ScyllaDB's learning curve could be improved. Also, the monitoring can get quite complex. Setting it up on Docker is a bit tricky because you need to know about persistent storage and networking. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB helps us manage large data migrations with 99.9% data quality and minimal downtime, solving capacity issues and ensuring no downtime. ### 19. One of the best high performance databases for scaling **Rating:** 4.0/5.0 stars **Reviewed by:** Sayanta B. | Documentation Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** ScyllaDB is one of the best of its kind when it comes to its performance and efficient resource utilization. Its ability to use modern hardware and deliver very high throughput with extremely low latency is very impressive. It seamlessly handles large volumes of data and concurrent requests while performing better than other traditional NoSQL databases. Plus, it is easy to integrate with the existing workflows. **What do you dislike about ScyllaDB?** While it is such a great database for handling large chunks of data, the operational challenge can be a bottleneck for newly distributed teams. **What problems is ScyllaDB solving and how is that benefiting you?** In our organization, we handle large volume of sensitive data and ScyllaDB helped handle such large-scale high throughput data with minimal latency. The best part is that it uses its shard-per-core architecture that allows it to fully utilize modern multi-core CPUs. Thus, the performance becomes positively predictable even under heavy load. We don't have to spend our time and efforts in constant scaling of infrastructure because of its system responsiveness. Its stable performance enables us to operate smoothly with real-time applications and data-intensive services. ### 20. Efficient Scaling with Top-Class Compatibility **Rating:** 5.0/5.0 stars **Reviewed by:** Piotr S. | Founding Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I use ScyllaDB for efficient storage. I appreciate its tail latency guarantees and the fact that it scales well beyond my needs, so I don't need to worry about migrating anywhere. I like its compatibility with CQL and the custom extensions that are performance-oriented, such as bypassing the cache for certain queries. I find their Rust driver to be top class for both ScyllaDB and Cassandra, and it's important because latency-sensitive systems are often built in Rust. I also enjoy that the whole ecosystem of tools that works with Cassandra works with ScyllaDB too. The initial setup was easy to follow from the docs. **What do you dislike about ScyllaDB?** I sometimes wish for more SQL compatibility, like being able to send a complex query that joins multiple tables. **What problems is ScyllaDB solving and how is that benefiting you?** I trust ScyllaDB's tail latency guarantees and its scalability beyond my needs, so I don't need to worry about migrating. It provides efficient storage. ### 21. High Performance, Challenging Setup **Rating:** 3.5/5.0 stars **Reviewed by:** Ashley V. | Student, Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB for its high performance and the ability to handle massive amounts of security data without slowing down. Its low latency querying is valuable because it allows me to retrieve information almost instantly during investigations. I also appreciate its speed, scalability, and reliability, which are critical for my cybersecurity projects. **What do you dislike about ScyllaDB?** Configuring nodes, replication, and monitoring in ScyllaDB was a bit intimidating, especially under the hackathons' time frame. Setting up isn't always straightforward and it presents a big learning curve. Initial setup was not easy. Simplifying cluster wizards for quickly setting up smaller clusters and pre-configured templates for common scenarios would help. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB in cybersecurity projects for its speed, scalability, and ability to handle large volumes of security data. It solves high-volume log ingestion issues, allowing me to store and analyze datasets from tools like nmap without slowing down. ### 22. Predictable Performance, Easy Management **Rating:** 5.0/5.0 stars **Reviewed by:** Vusimuzi N. | Senior Technical Engineer, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** April 14, 2026 **What do you like best about ScyllaDB?** I am currently learning about ScyllaDB for use in a server environment for data storage. I like that it's easy to manage and that it delivers low latency and high performance even under heavy workloads. ScyllaDB stands out because it is built to stay fast and predictable at scale, not only in ideal conditions but also under real pressure. The initial setup of ScyllaDB was absolutely perfect. **What do you dislike about ScyllaDB?** Since I'm still early in learning ScyllaDB, there are a few areas where I would definitely want more depth and clarity as I go further. Like understanding how to properly design tables for high performance workload. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB solves challenges related to performance, scalability, and reliability. It provides low-latency data access and handles high workloads efficiently. ### 23. Efficient Terminal Commands, Needs Better Usability for Beginners **Rating:** 4.0/5.0 stars **Reviewed by:** Samuel O. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** I like that ScyllaDB is more flexible for me compared to MongoDB, and the terminal structure and commands are better to use. I also find the teaching at the summit very good because it helps me see my mistakes and learn from them. Using the cqlsh terminal to interact with the cluster efficiently through CQL queries is great, and ScyllaDB's use of shard per core architecture maximizes performance and reduces latency in a distributed database. **What do you dislike about ScyllaDB?** I think improving the setup guide and helping new users understand the distributed database concept. A clear dashboard-like insight to help developers in observability tools and expanding integration with cloud native ecosystems can make it more powerful for developers. **What problems is ScyllaDB solving and how is that benefiting you?** I find using the cqlsh terminal efficient for interacting with clusters, and ScyllaDB maximizes performance with its shard per core architecture to reduce latency. ### 24. Low Latency and Seamless Data Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Sarthak S. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I use ScyllaDB as a database store for internal management services like ticketing management. One thing I like most about ScyllaDB is the low latency. I had tried Redis; it was low but expensive, so I had to switch. Then I saw the Last Monster Summit and decided to try ScyllaDB, and till now, I have no regrets. Users see updates on the leaderboard instantly instead of waiting 400ms with the database. This low latency was the main driver for switching from Postgres and Redis to ScyllaDB. Initially, the setup was good. **What do you dislike about ScyllaDB?** One thing I felt that could be improved is a bit on documentation and some examples for already setup systems would be appreciated. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB for high data throughput, preventing data loss. It offers low latency, making leaderboards update instantly instead of waiting for 400ms. ### 25. Reliable, Cost-Effective NoSQL That Eliminates Performance Bottlenecks **Rating:** 4.5/5.0 stars **Reviewed by:** Sri Darshan S. | SDE-3, Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** It is a reliable and cost-effective NoSQL solution that effectively eliminates performance bottlenecks for today’s heavy-duty applications. **What do you dislike about ScyllaDB?** Cost of DB for running my applications compared to a self hosted solution. **What problems is ScyllaDB solving and how is that benefiting you?** Moving to ScyllaDB has been an absolute game-changer for handling data-intensive microservices. Previously, we were fighting garbage collection pauses and had to over-provision hardware to ensure our latency was under control. With ScyllaDB's C++ architecture, we no longer have to worry about any of these issues. The migration was incredibly smooth due to its CQL compatibility and has resulted in our throughput going through the roof while our cloud costs decrease significantly. It can handle massive spikes in traffic with single-digit millisecond latency and is a must-have powerhouse for any team that needs ultra-fast and reliable NoSQL without the constant administrative hassle. ### 26. Open-Source ScyllaDB with Flexible, Kubernetes-Friendly Deployment **Rating:** 5.0/5.0 stars **Reviewed by:** Utkarsh K. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** April 14, 2026 **What do you like best about ScyllaDB?** ScyllaDB is open source and can be deployed independently without any license. Its cluster can also be managed with Kubernetes. **What do you dislike about ScyllaDB?** ScyllaDB doesn’t offer a self-managed service on any of the major cloud providers. **What problems is ScyllaDB solving and how is that benefiting you?** It is being used in Analytics for a customer complaints dashboard, which pulls large-volume data from ScyllaDB so we can view key data points in the dashboard UI. ### 27. Strong Performance for ML Pipeline with ScyllaDB **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** February 17, 2026 **What do you like best about ScyllaDB?** ScyllaDB gives very high performance for our ML pipeline. It uses shard-per-core design, so each CPU core handles its own data. Because of this, read and write speed is very high. It supports high throughput and keeps latency very low even when we store and fetch large training data. **What do you dislike about ScyllaDB?** Data modeling needs to be done carefully. We must design partition keys properly to get best speed. Monitoring and tuning need some effort when data grows very large. **What problems is ScyllaDB solving and how is that benefiting you?** We store large ML training and inference data in ScyllaDB. During model training, data is read very fast without delay. High throughput helps us process many records at the same time. Because of this, our ML pipeline runs faster and we complete training jobs in less time. ### 28. High Performance with Manageable Learning Curve **Rating:** 4.5/5.0 stars **Reviewed by:** Shuva K. | Technical Lead, Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB for its shard per core design because it's NUMA friendly and eliminates contentions and locks in network event streaming. It provides linear scalability per core, which I find great since there are no GC pauses, helping to eliminate tail latency spikes like we experienced with Cassandra. I also appreciate the massive throughput, which helps with high volume ingestion. **What do you dislike about ScyllaDB?** I find ScyllaDB's data modeling challenging and the learning curve quite strict. The strict data modeling makes schema changes later difficult, especially if the event starts to have additional data. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB to solve performance, scaling, and cost bottlenecks I faced with Cassandra and DynamoDB for data-intensive network analytics. ### 29. High Performance, Low Latency Database Solution **Rating:** 5.0/5.0 stars **Reviewed by:** Maaitrayo D. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB for its high performance and low latency, even when handling large-scale workloads. The compatibility with Cassandra makes migration and integration easier for us. I also appreciate its efficient resource utilization, allowing us to get better performance with the same hardware, and its strong scalability. **What do you dislike about ScyllaDB?** One area that could be improved is the learning curve for new users as configuring and tuning can be a bit complex at first. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB to store large volumes of data. It handles high-throughput workloads with low latency and is highly compatible with Cassandra, easing integration. It enhances performance with better resource utilization and provides strong scalability. ### 30. Good Database for Big Data Jobs **Rating:** 4.5/5.0 stars **Reviewed by:** Diya P. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 24, 2025 **What do you like best about ScyllaDB?** It handles big read and write loads without slowing down. The data is divided into shards, so each node takes care of its part. This makes the system fast and stable. The data moves easily between nodes, and the jobs finish faster. **What do you dislike about ScyllaDB?** There is nothing much to dislike. But it would be nice if ScyllaDB can have full user management and authentication built in. That way, we would not need to use other tools for access control. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB helps us process big data in real time. It stores large datasets that we use for our Spark jobs and analytics. The speed and low latency helps us get results quickly. It also scale easily, so we can add more nodes when our data become very lerge. This makes it very helpful for our big data system. ### 31. Extreme Performance and Efficiency with ScyllaDB **Rating:** 5.0/5.0 stars **Reviewed by:** Sohail A. | Business Development Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** What I like best about ScyllaDB is its extreme performance and efficiency. It is designed in C++ and uses a shard-per-core architecture, allowing it to fully utilize modern CPUs and deliver very low latency and high throughput compared to many other NoSQL databases. **What do you dislike about ScyllaDB?** One drawback of ScyllaDB is that it can be complex to deploy and tune properly, especially for beginners, because it requires careful configuration of hardware resources to achieve its best performance. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB solves problems of high-volume data handling, scalability, and low-latency performance. It benefits me by allowing applications to process large amounts of data quickly and scale efficiently without performance bottlenecks. ### 32. Fast and Cost-Efficient for Data Streams **Rating:** 5.0/5.0 stars **Reviewed by:** bogdan c. | Lead Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I use ScyllaDB for educational purposes and I'm impressed with its scalability and cost efficiency. The self-serviced infrastructure is a bonus, and I find the 90% consumption utilization feature very cost-efficient. It's also impressively fast on large data stream real-time analysis. The initial setup was quite easy due to the many available resources. **What do you dislike about ScyllaDB?** I am generally happy with it. Maybe the time it takes to start the cluster could be faster. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB is scalable, cost-efficient, with self-service infrastructure. The 90% consumption utilization is economical, and it's very fast for real-time analysis of large data streams. It helps me understand data ingestion technologies better. ### 33. Efficient and Dynamic Data Management with ScyllaDB **Rating:** 4.5/5.0 stars **Reviewed by:** Prashanth B. | Test Module Lead **Reviewed Date:** November 12, 2025 **What do you like best about ScyllaDB?** I find that ScyllaDB manages dynamic and large sets of data very efficiently. Most of the features of ScyllaDB are good, and I'm particularly impressed with how it handles more dynamic data and processing. Additionally, the initial setup of ScyllaDB was good, and the documentation and prerequisites have been very helpful. **What do you dislike about ScyllaDB?** I don't have any pictures as such. Need to check out any features. And I use more scalability. I'll come to know that. Looking into more features, what's Calabrio DB. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB for managing large sets of dynamic data efficiently, which helps in processing data more effectively for my projects. ### 34. Great Engineering, But Needs Improvements Elsewhere **Rating:** 2.5/5.0 stars **Reviewed by:** SAKSHAM C. | Student, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** What I like best about ScyllaDB is its "close-to-the-metal" engineering, which utilizes a shard-per-core architecture to eliminate the CPU contention and "stop-the-world" garbage collection pauses common in Java-based databases like Cassandra. **What do you dislike about ScyllaDB?** While ScyllaDB is technically superior in performance, it has a smaller ecosystem and less community-contributed documentation compared to the massive Apache Cassandra or MongoDB communities, which can make troubleshooting niche issues more difficult. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB solves the "Cassandra Migraine" and the "DynamoDB Tax" by eliminating the technical debt of legacy NoSQL architectures, specifically addressing unpredictable tail latency caused by Java's garbage collection and the agonizingly slow scaling of static token rings. ### 35. Cost-Efficient with Standout Performance **Rating:** 4.0/5.0 stars **Reviewed by:** Aryan R. | Full stack senior Associate Developer , Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I like using ScyllaDB because of its standout performance and low maintenance requirements. It helps me handle a large number of events and logs efficiently without breaking the bank, providing low latency and high throughput which are very valuable. **What do you dislike about ScyllaDB?** I find the documentation and out of box integration with ScyllaDB lacking. Troubleshooting can be hard, and the initial setup was difficult because it was new to us. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB to handle a large number of events and logs without breaking the bank, enabling low latency and high throughput, and its performance is standout while being low maintenance, which reduces costs. ### 36. Handles High Write Loads with Ease **Rating:** 4.0/5.0 stars **Reviewed by:** Jayesh S. | Deputy Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I find ScyllaDB easy to query and capable of ingesting a high volume of data. I receive about 50K insert queries per second, along with subsequent update queries on SMS delivery reports, and it's handled well by ScyllaDB. Setting up the initial multi-data center cluster was also very easy. **What do you dislike about ScyllaDB?** I don't like altering the schema or querying on non-primary index data without using allow filtering. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB for handling heavy writes and updates per second. It's easy to query and ingest high data volumes, managing 50K/s insert queries and updates on SMS DLRs effectively. ### 37. ScyllaDB For E-commerce Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Harsh A. | Junior Software Developer, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** September 03, 2025 **What do you like best about ScyllaDB?** Below are things which I like the most about our ScyllaDB usecase: - Works really well for our online shopping site - Able Handle lots of customers at once without slowing down the performance - Easy to add more servers when we get busy during sales time - Product catalog loads super fast for customers - Shopping cart data never gets lost - Works well with our existing tools - Customer orders process quickly even during peak hours **What do you dislike about ScyllaDB?** - Setting it up the first time was tricky - Not many online tutorials for beginners - Some features we used in our old database aren't available **What problems is ScyllaDB solving and how is that benefiting you?** - Website is really fast even with thousands of shoppers are coming on out platform. - Can handle Black Friday traffic without crashing. - Easy to expand when our business grows. - Customers have better shopping experience. - Less downtime means more sales(more revenue) for us. ### 38. Powerful and Fast, but Too Complex for Beginners and Smaller Teams **Rating:** 2.5/5.0 stars **Reviewed by:** Yurii P. | RnD Chemist, Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** ScyllaDB is built for speed, low latency, and large-scale workloads without losing practicality **What do you dislike about ScyllaDB?** it can feel complex for beginners or smaller teams, especially when the use case does not yet require distributed-system scale **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB solves the problem of scaling data-intensive applications without sacrificing speed. That benefits me by providing a platform that is designed for low latency, high throughput, and operational efficiency in demanding environments. It is especially valuable when performance, reliability, and future scalability are important, because it helps avoid the limitations that often appear with simpler database setups as workloads grow. ### 39. ScyllaDB Delivers Extreme Performance, Low Latency, and Exceptional Scalability **Rating:** 5.0/5.0 stars **Reviewed by:** Narasimha R. | Integration Specialist (Mulesoft), Enterprise (> 1000 emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** ScyllaDB are its extreme performance, low latency, and exceptional scalability. It is widely considered a superior, high-performance alternative to Apache Cassandra, often allowing users to handle larger workloads with fewer nodes. **What do you dislike about ScyllaDB?** the main drawbacks of ScyllaDB revolve around its steep learning curve, operational complexity, and the specialized, high-resource hardware required to achieve its promised performance **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB solves high-volume data, and, unpredictable,,latency bottlenecks by replacing inefficient Java-based systems (like Cassandra or MongoDB) with a C++ shard-per-core architecture. It provides sub-millisecond, consistent performance at petabyte scale, drastically reducing infrastructure,costs, eliminating manual tuning, and ensuring high,availability ### 40. Effortless Setup, Maximized CPU Utilization **Rating:** 5.0/5.0 stars **Reviewed by:** Prakash G. | Engineer 4 Oracle Database, Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I like the rolling upgrades, node replacement, and Grafana integrations with the Scylla exporter, as they make it easy to understand the live workings of the system. I also appreciate that ScyllaDB allows the database to fully utilize the CPU, solving CPU core shared issues. The initial setup of ScyllaDB was so easy. **What do you dislike about ScyllaDB?** I don't like that the open source is not released after version 5.2. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB allows our database to fully utilize CPU resources, offering improvements with rolling upgrades, node replacement, and Grafana integration that makes it easy to understand live operations. ### 41. Scylladb everywhere **Rating:** 5.0/5.0 stars **Reviewed by:** rajesh kumar s. | Lead Data engineer/db2 dba, developer, Enterprise (> 1000 emp.) **Reviewed Date:** February 14, 2024 **What do you like best about ScyllaDB?** It's similar to MongoDB but have more features like accessing data fastly through query, etc. Doing more research to find the fetures. **What do you dislike about ScyllaDB?** Not found any yet. But if I see any then will notify you. **What problems is ScyllaDB solving and how is that benefiting you?** It can store huge amount of data and can be accessed fastly and it's easy to create pipelines into it. ### 42. Cost-Effective with Impressive Performance **Rating:** 4.0/5.0 stars **Reviewed by:** Dhruv J. **Reviewed Date:** November 12, 2025 **What do you like best about ScyllaDB?** I use ScyllaDB as a NoSQL database for appending message data before transitioning it to downstream services, where its efficiency stands out significantly. ScyllaDB is cheaper than DynamoDB, yet it offers comparable or sometimes even superior performance, which is highly beneficial for cost-effective scalability. I appreciate the SQL-like syntax that ScyllaDB provides, which enhances the usability by making it easier to query and manage data. The shard-per-core architecture is particularly impressive because it allows us to maximize CPU utilization, squeezing out extraordinary levels of performance, which is critical for our intensive processing needs. Additionally, the support team at ScyllaDB has been incredibly active and helpful in troubleshooting, making the transition smooth and instilling confidence in the adoption of their system. **What do you dislike about ScyllaDB?** I find the lack of support for lightweight transactions (LWT) across nodes or partitions challenging. This limitation makes it difficult to handle transactions in a manner similar to PostgreSQL, where transactions can touch multiple tables in the database. Additionally, I would appreciate built-in support for retries, which is currently lacking and impacts the ease of handling transactions effectively. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB as a cost-effective NoSQL database with performance comparable to DynamoDB. It optimizes CPU usage with shard per core, supports SQL-like syntax, and aids in appending message data efficiently. ### 43. Powerful Backend with a Steep Learning Curve **Rating:** 4.0/5.0 stars **Reviewed by:** MD F. **Reviewed Date:** November 12, 2025 **What do you like best about ScyllaDB?** I use ScyllaDB as the high-performance backend database for my real-time voice chat application, and I am thoroughly impressed by its ability to efficiently manage stateful information with remarkable speed and reliability. ScyllaDB effectively handles a huge volume of reads and writes effortlessly, removing the constant worry of the database becoming a bottleneck. Its reliability allows me to focus on building my application's features instead of constantly tweaking performance. Additionally, its setup was surprisingly straightforward due to Docker, as I simply pulled the official ScyllaDB image and added it to my docker-compose.yml file, which significantly reduced the complexity of installation. Its seamless integration with my Go application via the gocql driver, along with its operation inside Docker as part of my main development stack, underscores its adaptability and ease of use in diverse development environments. **What do you dislike about ScyllaDB?** I find the learning curve for ScyllaDB quite steep, especially for newcomers to distributed NoSQL databases. Transitioning from a SQL background requires a significant shift in data modeling approach, and understanding concepts like consistency levels, replication, and query patterns isn't straightforward. This complexity can be daunting and requires a dedicated effort to grasp fully. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB to manage stateful information quickly for my real-time app, solving speed and scale issues, allowing me to focus on features rather than performance tuning. ### 44. Blazing Fast, Effortlessly Scalable NoSQL with Excellent Documentation **Rating:** 4.0/5.0 stars **Reviewed by:** Gustavo L. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 12, 2025 **What do you like best about ScyllaDB?** ScyllaDB is fast, highly scalable, and efficiently uses all CPU cores. It handles millions of operations per second with consistent performance, scales easily by adding nodes, and has excellent, practical documentation. **What do you dislike about ScyllaDB?** It’s self-managed and requires a fairly deep level of technical knowledge to operate effectively. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB solves the performance bottlenecks common in other NoSQL databases. While many systems struggle with high latency and slow reads under heavy load, ScyllaDB delivers extremely fast and consistent read performance, even at large scale. It fully utilizes all CPU cores and scales horizontally without losing speed, eliminating slowdowns and bottlenecks during peak traffic. In practice, this means near real-time responses and a much more efficient infrastructure. ### 45. Scalability and Low Latency Champion **Rating:** 5.0/5.0 stars **Reviewed by:** Pruthvi K. | Sales Lead, Small-Business (50 or fewer emp.) **Reviewed Date:** March 13, 2026 **What do you like best about ScyllaDB?** I really appreciate ScyllaDB's scalability, which is the number one thing I like about it. It allows me to combine multiple events and orchestrate between them seamlessly. ScyllaDB handles low latency well, letting me scale up easily, especially with large training datasets involving 100,000 plus people. It also manages real-time workloads efficiently, helping me coordinate multiple events smoothly. **What do you dislike about ScyllaDB?** NA **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB provides low latency, allowing me to scale easily and handle real-time workloads efficiently. It supports my conversational AI by retrieving data for chat functionality and orchestrating multiple events. ### 46. High-Performance, Needs Better Documentation **Rating:** 3.5/5.0 stars **Reviewed by:** Reicela M. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I like the vector search feature in ScyllaDB because it means I do not need a separate vector database. The initial setup was quite easy for me because it's not so different from other tools, and there are a lot of tutorials available on the internet. **What do you dislike about ScyllaDB?** I find the documentation and tutorials lacking. They could really use more detailed examples for vector search. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB for handling large volumes of concurrent reads. The vector search means I don't need a separate vector database, which I find valuable. ### 47. Quick Access and Trusted Backup with ScyllaDB **Rating:** 3.5/5.0 stars **Reviewed by:** Adam P. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2026 **What do you like best about ScyllaDB?** I like ScyllaDB because it offers quick and easy availability, which makes accessing user accounts and their information smooth. I also appreciate its trusted backup capabilities, ensuring our data is secure and accessible. Additionally, I find ScyllaDB's ability to keep a high level of data accessible in multiple ways very beneficial for all our internal users, allowing access on the go. **What do you dislike about ScyllaDB?** Nothing too pressing **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB provides easy and quick access to user profiles, offers a centralized storage location, maintains high data accessibility, and offers trusted backup capabilities. ### 48. ScyllaDB: Fast Reads & Writes, Ideal for High User Base **Rating:** 4.0/5.0 stars **Reviewed by:** Ramakrishna J. **Reviewed Date:** November 12, 2025 **What do you like best about ScyllaDB?** I appreciate ScyllaDB's significant improvement in read and write speeds compared to Cassandra, which is crucial for our project with a large user base of around 80 million. I value the Cassandra compatibility of ScyllaDB, allowing for an easy lift and shift process. Additionally, the shard-per-core architecture is excellent for performance enhancement, particularly in high user base environments. Even though it took some time to understand its architecture initially, the potential for higher performance outweighs the learning curve. **What do you dislike about ScyllaDB?** ScyllaDB doesn't perform well on small VMs. The initial setup took some time to understand its architecture and internal mechanisms. A relaxed CPU pinning mode could improve stability on over-subscribed cloud hosts. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB to improve user authentication with faster read and write speeds than Cassandra, suitable for large user bases. It offers a Cassandra-compatible, shard-per-core architecture for high performance, though it struggles on small VMs. ### 49. Reliable Performance and Cost-Effective **Rating:** 4.0/5.0 stars **Reviewed by:** Dinesh B. | Small-Business (50 or fewer emp.) **Reviewed Date:** March 11, 2026 **What do you like best about ScyllaDB?** I appreciate ScyllaDB for its performance and speed, as it rectifies the issue of slowness. It's cost-efficient compared to other options. I find that for business, speed matters most, and ScyllaDB is one of the best products in the market. The initial setup was pretty easy, which adds to its appeal. **What do you dislike about ScyllaDB?** I think ScyllaDB could be improved by making it accessible via business tools like Tableau and Power BI. **What problems is ScyllaDB solving and how is that benefiting you?** I use ScyllaDB for performance and speed, solving the issue of slowness in business operations. ### 50. Cluster-Node Solution Simplifies Database Management **Rating:** 4.0/5.0 stars **Reviewed by:** Raphael A. **Reviewed Date:** November 12, 2025 **What do you like best about ScyllaDB?** I like ScyllaDB for its cluster-node solution and the ease with which I can define data replicas. This feature is particularly beneficial in use cases where MongoDB and Cassandra might fall short. When I attempted similar tasks with another database, the process was far more complicated and confusing. As a developer who is primarily focused on application code, I appreciate not having to devote excessive time to database hurdles. Additionally, the initial setup of ScyllaDB seemed easy for me, which is advantageous for someone new to the product. These aspects make my experience with ScyllaDB more efficient and enjoyable, encouraging me to explore the platform further in the training documentation. **What do you dislike about ScyllaDB?** Nothing at this moment, I need to use more before. **What problems is ScyllaDB solving and how is that benefiting you?** ScyllaDB simplifies cluster-node solutions and defining data replicas, ideal for developers like me who focus on application code rather than database complexities. ## ScyllaDB Discussions - [Is ScyllaDB free?](https://www.g2.com/discussions/is-scylladb-free) - 1 comment, 1 upvote - [How does ScyllaDB handle sharding and replication?](https://www.g2.com/discussions/how-does-scylladb-handle-sharding-and-replication) - 1 comment, 1 upvote - [What are the main tradeoffs when switching to ScyllaDB?](https://www.g2.com/discussions/what-are-the-main-tradeoffs-when-switching-to-scylladb) - 1 comment, 1 upvote - [Why is ScyllaDB faster than alternatives?](https://www.g2.com/discussions/why-is-scylladb-faster-than-alternatives) - 1 comment, 1 upvote - [What are the ideal use cases for ScyllaDB?](https://www.g2.com/discussions/what-are-the-ideal-use-cases-for-scylladb) - 1 comment, 1 upvote - [View ScyllaDB pricing details and edition comparison](https://www.g2.com/products/scylladb/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-19+06%3A06%3A46+-0500&secure%5Bsession_id%5D=d419d54c-bca1-4aed-bab5-31d430621c7b&secure%5Btoken%5D=bee8869f49559a9d98385284eff01bf864d735ef5e82d9177c493e6b0ffe32d8&format=llm_user) ## ScyllaDB Integrations - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews) - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews) - [Data Studio](https://www.g2.com/products/data-studio/reviews) - [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews) - [Kpow for Apache Kafka®](https://www.g2.com/products/kpow-for-apache-kafka/reviews) - [Nestjs](https://www.g2.com/products/nestjs/reviews) - [OpenJDK 8 (Java 8) on Ubuntu 18](https://www.g2.com/products/openjdk-8-java-8-on-ubuntu-18/reviews) - [OpenJDK Java Machine for Ubuntu 20.04](https://www.g2.com/products/openjdk-java-machine-for-ubuntu-20-04/reviews) - [Python](https://www.g2.com/products/python/reviews) - [Workato](https://www.g2.com/products/workato/reviews) ## ScyllaDB Features **Data Management** - Data Model - Data Types **Storage** - Data Storage Method **Configuration** - Application Performance - Orchestration - Database Monitoring - Anomaly Detection - Network Security **Availability** - Auto Sharding - Auto Recovery - Data Replication **Scalability** - Database Scalability - Auto Sharding **Database Administration** - Provisioning - Governance - Auditing **Performance ** - Integrated Cache **Security** - Order Preserving Encryption **Availability** - Scalability - Backup - Archiving - Indexing **Security** - Data Masking - Authentication And Single Sign-On - Data Anonymization **Security** - Role-Based Authorization - Authentication - Audit Logs - Encryption **Support** - Data Types Support - Multi model Database Support **Data Management** - Data Replication - Advanced Data Analytics **Support** - Multi-Model **Agentic AI - Wide Column Database** - Decision Making **Database Features** - Storage - Availability - Stability - Scalability - Security - Data Manipulation - Query Language ## Top ScyllaDB Alternatives - [Couchbase](https://www.g2.com/products/couchbase/reviews) - 4.3/5.0 (142 reviews) - [Cassandra](https://www.g2.com/products/cassandra/reviews) - 4.1/5.0 (33 reviews) - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) - 4.4/5.0 (498 reviews)