ScyllaDB Reviews & Product Details

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.

It supports CQL (Cassandra Query Language), so migrating or integrating with Cassandra-based systems is very easy. Automatic Sharding and Load balancing reduces our operational overhead and it makes the node management very easy. In-built Grafana monitoring tool is really awesome, we do not need to set them up separately. Review collected by and hosted on G2.com.

ScyllaDB Cloud does not provide a way to visually browse databases, tables, or data rows. While it’s growing, there are fewer integrations or community tools. Review collected by and hosted on G2.com.

ScyllaDB is very fast and handles a huge amount of data without any performance issues. We store large datasets for training our machine learning model, and it works smoothly even when the data keeps growing. Our setup is simple, and once it starts running, it needs very little care. (Thanks to Scylladb) Review collected by and hosted on G2.com.

Nothing to dislike anything regarding performance and latency. Native data adapters still does not exist. AFAIK, we can not get live updates on any change in the data via any events or sockets. But I believe lots of features will eventually be added 🚀. Review collected by and hosted on G2.com.

The most important thing about ScyllaDB is it's performance. As it's written in C++ it's super super fast as compared to cassandra which is written in java. This means no garbage collection pauses, lower CPU overhead, and significantly better resource utilization. Also, one more important thing is Shard-Per-Core Architecture, This eliminates inter-core contention and boosts throughput dramatically. It also provides better scalability over very less numbers of nodes And The best part? ScyllaDB is fully compatible with Cassandra’s APIs and query language (CQL). This means you can migrate from Cassandra to ScyllaDB with minimal effort and you get massive performance improvements. Review collected by and hosted on G2.com.

ScyllaDB is 100% compatible with Cassandra’s CQL, but the broader ecosystem—third-party tools, integrations, and community plugins—is still catching up. Some tools designed for Cassandra may not work perfectly out of the box with ScyllaDB. ScyllaDB allows you to do more with fewer nodes, which is great. But the hardware requirements can be more demanding, and if you go with the Enterprise edition or Scylla Cloud, licensing costs could be a factor for some businesses. Review collected by and hosted on G2.com.

I like that ScyllaDB can handle very large amounts of data quickly and smoothly. It is easy to add more servers as our data grows, and the system balances the data across nodes on its own. It works well for real-time data processing and has been very reliable with no major downtime. I also like their initiatives to organize various events regarding how to use scylladb in various fields. Review collected by and hosted on G2.com.

The main issue is that it uses a lot of system resources. Some features like search or graph queries are not built-in, and setting it up can be a bit hard for new users. 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.