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. Review collected by and hosted on G2.com.

One area that could be improved is the learning curve for new users as configuring and tuning can be a bit complex at first. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I am generally happy with it. Maybe the time it takes to start the cluster could be faster. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I don't like altering the schema or querying on non-primary index data without using allow filtering. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

- 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 Review collected by and hosted on G2.com.

ScyllaDB is built for speed, low latency, and large-scale workloads without losing practicality Review collected by and hosted on G2.com.

it can feel complex for beginners or smaller teams, especially when the use case does not yet require distributed-system scale Review collected by and hosted on G2.com.