I find ScyllaDB easy to use, which was great for my project. I also really like its low latency and the initial setup had good ease. Review collected by and hosted on G2.com.

It was new for me, so learning curve Review collected by and hosted on G2.com.

Performance and latency are two key important thing that it's specialized for. But, The sharding system works well in our usecase. Each node manages its own part of data, so the load is balanced. Even when traffic grows, the database stays stable. The replica system also helps. Query times are low, and I don’t have to worry about slow responses. Community and customer support is amazing here. Review collected by and hosted on G2.com.

The learning curve is a bit high at the start, especially when dealing with partitions and compactions. Review collected by and hosted on G2.com.

ScyllaDB is very fast and can handle a lot of with great efficiency. It works well for real-time use, heavy writes, and large-scale systems like IoT or analytics. Adding new nodes is quick and easy, and the data gets balanced automatically. It also works with Cassandra, so moving to it is simple. I also like that it runs on any cloud and supports containers. Review collected by and hosted on G2.com.

Some features, like graph queries or advanced search, are missing compared to other databases. It can also take time to learn and set up, and the docs could use more real-world examples. Like most NoSQL systems, you have to deal with things like eventual consistency and fewer options for joins or transactions. Review collected by and hosted on G2.com.

For health tech, where timeliness can affect the quality of treatment, etc, ScyllaDB's distributed architecture guarantees speedy reads/writes and consistency otherwise Its support for Apache Cassandra APIs also made transition more convenient although we did not have to rewrite our entire application logic. Review collected by and hosted on G2.com.

Better out-of-the-box integration with healthcare data compliance frameworks (HIPAA, GDPR) would be helpful for faster onboarding in regulated industries, otherwise everything seems perfect with scyllaDB. Review collected by and hosted on G2.com.

The best thing about ScyllaDB is the low latency. It stays fast even when there is a lot of data or high traffic. It scales smoothly, and responses come back in real time, which is very useful. Review collected by and hosted on G2.com.

Some features that exist in other databases, like built-in search or graph, are not there. Review collected by and hosted on G2.com.

It’s best for workloads that need High availability across multiple data centers and horizontal scaling. The best thing about ScyllaDB is its low latency nature along with the scaling and high availability. I also like the sessions and workshops organized by ScyllaDB, it helps to get started with the database and integrate it with the existing system. Review collected by and hosted on G2.com.

The documentations can be improved as it's hard to follow if you are new to this space Though the sessions, workshops and ScyllaDB university live is best way to get started. Review collected by and hosted on G2.com.

High throughput and reduced latency withh redundancy Review collected by and hosted on G2.com.

Nothing in particular but it has steep learning curve Review collected by and hosted on G2.com.

For our log data aggregation and analysis platform, ScyllaDB offers unparalleled performance and scalability. Real-time processing of millions of log events per second has relied heavily on its capacity to manage high-throughput writes with incredibly low latency. We also value the low operational overhead—compared to other NoSQL databases, ScyllaDB uses less infrastructure because of its auto-tuning features and effective hardware utilization. In particular, the native support for time-based TTLs is useful for automatically controlling log retention. It just operates on a larger scale. Review collected by and hosted on G2.com.

ScyllaDB has a learning curve for teams used to Apache Cassandra or more traditional relational databases even if it boasts better performance. For some complex tuning parameters and architectural ideas, such log analytics, optimal performance for particular workloads depends on a better knowledge. Moreover, even if the documentation is usually good, some edge cases—especially those related to large-scale cluster management and repair activities—would benefit from more practical examples. The community and support network, however, are flexible which helps to close the distance. Review collected by and hosted on G2.com.

I find ScyllaDB to be very fast and robust, which is crucial for my analytics and transactions tasks. I really appreciate the speed it offers, and the faster write capabilities make it stand out for me. Review collected by and hosted on G2.com.

Indexing Review collected by and hosted on G2.com.

What I like best about ScyllaDB is its performance and efficiency at scale. Review collected by and hosted on G2.com.

One thing I dislike about ScyllaDB is that its advanced architecture can raise the learning curve, especially for teams new to distributed systems or coming from traditional databases. Understanding concepts like shard-per-core, tuning, and operational best practices takes time. Review collected by and hosted on G2.com.