ScyllaDB Reviews

We use the platform to manage advertising-related data, such as tracking ad views and demographic information.

The product's most valuable features are efficiency and reliability. Compared to similar tools, it consumes fewer computing resources and requires minimal maintenance, ensuring smooth operations.

I have been using ScyllaDB for approximately three years. 

We've had occasional performance challenges that required resource adjustments or optimizations in our interaction with the platform. However, the support team has responded and promptly resolved these issues.

I rate the stability a nine. 

The product is highly scalable.

The technical support team has been excellent. They are responsive and knowledgeable, providing timely assistance.

The initial setup has been straightforward in our experience. The deployment team handles the setup efficiently, typically completing it within a day with minimal involvement required from our side.

The product's efficiency has allowed us to optimize resource usage effectively. Its reliability reduces operational overhead, enabling us to focus resources on other critical tasks.

It is user-friendly for those familiar with databases. A basic understanding of database management is necessary for effective use and deployment.

I rate it a ten. 

Scylla is used as a cache. Once the data is ingested into the product during the initial load, a version of it is stored in Scylla DB, and this is then used by the other transformation services to query and make updates during ongoing loads. That is, it is being queried by other services to make the updates whenever deletes occur.

It is lightweight, and it requires less infrastructure.

Data export, along with how we can purchase the data periodically, needs to be improved so that the storage is within control. Then, we could optimize it even better.

This is not a very old product, and it's seven or eight months old.

We would like to leverage it on the public cloud, but due to some limitations at the moment, it's on the cloud but using IAS. We have virtual machines, and there, we have created the cluster.

It's pretty much stable. We have been in production for six months now, and I haven't seen it go down. We have had a few instances where one or two of the nodes have gone down, but the cluster has been stable.

Scalability in performance is good. We can add more nodes and have more scalability. We have about 200 people using this solution.

Support and the availability of support need improvement. I would give them a six out of ten.

Neutral

The architecture team did some tests and performance benchmarking, and they found out that in comparison to that for other tools almost one eighth or one tenth of the infrastructure was required for Scylla and that the performance was the same.

This is built on using C++, and it's very lightweight, whereas the others were using too much infrastructure. These are some of the reasons why Scylla was chosen.

I believe that there is a yearly licensing cost and that it's expensive.

The architecture team evaluated MongoDB and Cassandra.

Overall, I would give Scylla a seven out of ten for our use case.