I like ScyllaDB's ability to handle high throughput workloads while maintaining consistently low latency. The horizontal scalability makes it easy to accommodate increasing data volumes and traffic without major performance degradation. I appreciate ScyllaDB's low latency performance, which remains consistent even when workload and traffic increase. The shard per core architecture is a big advantage because it minimizes resource contention and allows the database to make efficient use of available CPU, memory, and storage. Additionally, I find the initial setup straightforward, as we used Docker Compose to set up a 3-node cluster across different physical nodes in the same network. ScyllaDB integrates well with our existing technology stack, helping us manage high-volume data workloads without significant changes to the application architecture. Review collected by and hosted on G2.com.

I find the learning curve to be challenging, especially around data modeling, partitioning, and cluster tuning. For new teams, it can be tough to understand data modeling and partitioning best practices and how to design tables around application access patterns. I think more practical examples, guided tutorials, and real-world production scenarios would make this easier. Review collected by and hosted on G2.com.

I like how ScyllaDB makes large-scale distributed data feel simple and allows me to work with its design patterns effortlessly. I really appreciate the automatic distribution and the hot reload performance of 1 million operations per second. One thing I especially like about ScyllaDB is its high performance and predictable low latency, even under heavy workloads. I also value its compatibility with the Cassandra ecosystem, which makes migration and integration straightforward. Features like shard-aware drivers, horizontal scalability, and efficient resource utilization work particularly well for large-scale, high-throughput applications like ours. Review collected by and hosted on G2.com.

Overall, my experience with ScyllaDB has been positive, but there are a few areas that could be improved. Initial cluster setup and tuning can be complex, especially for production deployments. Troubleshooting shard-awareness and networking issues also required a good understanding of the architecture. I also think the documentation could include more end-to-end examples and performance tuning guides for large-scale deployments. I would like to see more built-in observability and performance diagnostics. Additionally, although I use ScyllaDB with GUI tools like DataGrip and DBeaver for querying data, browsing tables, and schema management, I feel these tools are often paid and limit users for a better experience interacting with ScyllaDB. Review collected by and hosted on G2.com.

ScyllaDB provides exceptional throughput and sub-millisecond, predictable latency. Because it is written in C++ rather than Java, we completely eliminated garbage collection pause issues and saw a massive performance boost over Cassandra with far fewer nodes. Review collected by and hosted on G2.com.

ScyllaDB delivers high performance, but its ecosystem of third-party monitoring plugins and integrations is still a bit smaller than what you’ll find with older databases such as Apache Cassandra. Review collected by and hosted on G2.com.

It delivers strong write-heavy performance with low latency. The main use cases for me are IoT and gaming. I also value its CQL compatibility, along with horizontal scalability and high availability. Review collected by and hosted on G2.com.

ScyllaDB lacks a native, polished management dashboard out-of-the-box comparable to some competitors. some niche integrations or modern cloud-native tools may not have first-party support or optimized drivers for ScyllaDB specifically, requiring extra configuration. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I use ScyllaDB as the session store for my agent runtime, and it handles write-intensive traffic really well, which is essential for our agent swarm service as we need to write to the session store as the agent progresses. I like the strong availability ScyllaDB offers. Additionally, the natural partitioning based on the key aligns perfectly with my service's session ID and client's namespace as partition keys, which helps a lot. The initial setup on ScyllaDB Cloud was pretty easy. Review collected by and hosted on G2.com.

I wish the self-deployment could be easier. Having a one-click deployment feature on Google Cloud would be perfect. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

To get the absolute best results, you need to understand how to model your data correctly (partition keys and clustering keys). Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.