ScyllaDB Testimonials

"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..."

"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."

"ScyllDB is a useful tool when working with NoSQL databases. It is especially effective in situations where properties need to be updated dynamically."

"It gives very high throughput, and it stays fast all time even when we send a lot of data at the same time. As Compared to MongoDB, the speed is much better, and the latency is very low."

"ScyllaDB performance is very fast and steady. ScyllaDB events are useful and easy to follow. Learning from the community sessions is simple. The overall ecosystem feels strong and growing."

"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."

"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."

"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..."

"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."

"- Handles huge amounts of data with no slowdown - Very low delay, best for real-time apps like gaming - Easy to add new servers and balance data - Runs on any cloud"

"ScyllaDBs handling of indexing and search is very efficient. Even when the data grows, queries still run smoothly. It uses hardware well that we do not need any setup work, the speed can be quite high as the software does not put extra burden on."

"ScyllaDB is very fast. We store a lot of user data like clicks, views, and preferences, and it handles everything smoothly. It’s easy to scale when we need more performance because of it's auto-scaling mechanism which is really very efficient. Due to it's lockless, shared-nothing architecture it's able to handle concurrent reads and writes very efficiently."

"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."

"1. Blazing Fast Performance Latency: Ultra-low latency even at high throughput. Throughput: Handles millions of operations per second per node. Example: Users report up to 10x better performance than Cassandra in the same hardware."

"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..."

"ScyllaDB offers incredibly low latency and high throughput, making it ideal for real-time applications at scale. Its compatibility with Apache Cassandra makes migration smooth, and the automatic sharding and self-tuning features significantly reduce operational overhead."

"It’s really fast and handles a lot of data without slowing down. I like that it’s easy to scale and doesn’t need as much tuning as Cassandra. The global secondary indexes and other modern features are also very helpful. I like the sessions as well, very interactive + gives hands on experience. Customer support also gives timely response. Additionally, it was easy to integrate, my company..."

"ScyllaDB delivers exceptionally high throughput and ultra-low latency, making it ideal for handling heavy, data-intensive workloads. ScyllaDB processes millions of operations per second with predictable performance, even under peak load conditions. As a result, ScyllaDB is particularly well-suited for use cases such as real-time analytics, time-series data processing, and high-velocity..."

"High performance with consistently low latency, Efficient resource utilization and throughput, Seamless scalability across workloads, Cassandra-compatible with improved operational simplicity."

"What I like most about ScyllaDB is that it simply gets on with it and does it well without having to be spoon-fed along the way. I've loaded it pretty heavily, and it's remained responsive and reliable at every turn. I didn't have to faff around too much to get things operational, which admittedly was a bit of a godsend. The inbuilt monitoring software is also a great idea—actually, it makes..."