ScyllaDB Cloud
ScyllaDB, IncExternal reviews
430 reviews
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Open-Source ScyllaDB with Flexible, Kubernetes-Friendly Deployment
What do you like best about the product?
ScyllaDB is open source and can be deployed independently without any license. Its cluster can also be managed with Kubernetes.
What do you dislike about the product?
ScyllaDB doesn’t offer a self-managed service on any of the major cloud providers.
What problems is the product solving and how is that benefiting you?
It is being used in Analytics for a customer complaints dashboard, which pulls large-volume data from ScyllaDB so we can view key data points in the dashboard UI.
Predictable Performance, Easy Management
What do you like best about the product?
I am currently learning about ScyllaDB for use in a server environment for data storage. I like that it's easy to manage and that it delivers low latency and high performance even under heavy workloads. ScyllaDB stands out because it is built to stay fast and predictable at scale, not only in ideal conditions but also under real pressure. The initial setup of ScyllaDB was absolutely perfect.
What do you dislike about the product?
Since I'm still early in learning ScyllaDB, there are a few areas where I would definitely want more depth and clarity as I go further. Like understanding how to properly design tables for high performance workload.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves challenges related to performance, scalability, and reliability. It provides low-latency data access and handles high workloads efficiently.
Low latency but difficult to use initially
What do you like best about the product?
i like many things about it, but the best one is the low latency that it gave even when the data that i had was very large
What do you dislike about the product?
i think that initially it is not very easy to use, as a new user, I had difficulty in understanding its configuration
What problems is the product solving and how is that benefiting you?
we dont need too much hardware to do the job, the system itself works very well without dramatically increasing the budget
High-Performance with Cost Efficiency, Yet Needs Better Monitoring Support
What do you like best about the product?
I like ScyllaDB for its significant cost savings and compatibility with Cassandra. The operational simplicity and robust ecosystem make it efficient to use. I value the high performance on fewer nodes, which reduces infrastructure costs due to CPU optimization and the ability to work with smaller clusters. The auto-tuning and self-optimization features help cut down on manual DBA overhead. I also appreciate the strong community and OEM support, which reduce downtime risks and facilitate adoption across production environments. Additionally, I found the initial setup to be very easy, especially with managed services, and the process is familiar for Cassandra users but simplified for new users, particularly with automated tuning scripts.
What do you dislike about the product?
The learning curve around the shard-per-core architecture and tuning is steep for new team members who are not familiar with it. Monitoring integration and developer SDK still lag behind other databases like Cassandra. Although ScyllaDB's native monitoring stack with Prometheus and Grafana works well, it requires manual setup and configuration compared to managed DB services like Azure and AWS, and using popular observability tools like New Relic or DataDog with pre-built alerting templates for common failures would be much better than having to write numerous queries in Prometheus.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps me overcome scaling bottlenecks, reduce high operational costs, and manage data-intensive applications. Its high performance on fewer nodes optimizes CPU use, saving infrastructure costs. Auto-tuning reduces DBA overhead, while strong community and OEM support minimize downtime risks.
Scalability and Low Latency Champion
What do you like best about the product?
I really appreciate ScyllaDB's scalability, which is the number one thing I like about it. It allows me to combine multiple events and orchestrate between them seamlessly. ScyllaDB handles low latency well, letting me scale up easily, especially with large training datasets involving 100,000 plus people. It also manages real-time workloads efficiently, helping me coordinate multiple events smoothly.
What do you dislike about the product?
NA
What problems is the product solving and how is that benefiting you?
ScyllaDB provides low latency, allowing me to scale easily and handle real-time workloads efficiently. It supports my conversational AI by retrieving data for chat functionality and orchestrating multiple events.
Fast, Efficient, and User-Centric Database Solution
What do you like best about the product?
I like how open and involved the employees at ScyllaDB are. It just seems like they really care about the user experience and really care about their user base.
What do you dislike about the product?
No obvious issues at this time
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for storing data in an easy-to-retrieve and performant manner. It isnt used by our team yet but its something we've started looking into
Efficient Terminal Commands, Needs Better Usability for Beginners
What do you like best about the product?
I like that ScyllaDB is more flexible for me compared to MongoDB, and the terminal structure and commands are better to use. I also find the teaching at the summit very good because it helps me see my mistakes and learn from them. Using the cqlsh terminal to interact with the cluster efficiently through CQL queries is great, and ScyllaDB's use of shard per core architecture maximizes performance and reduces latency in a distributed database.
What do you dislike about the product?
I think improving the setup guide and helping new users understand the distributed database concept. A clear dashboard-like insight to help developers in observability tools and expanding integration with cloud native ecosystems can make it more powerful for developers.
What problems is the product solving and how is that benefiting you?
I find using the cqlsh terminal efficient for interacting with clusters, and ScyllaDB maximizes performance with its shard per core architecture to reduce latency.
Solid Database Choice for Cost-Conscious Projects
What do you like best about the product?
I love how the ScyllaDB community is rising right now. I also love how they have a lower cost, especially as a startup or small organization where we are very cost stringent and expect a lot more features from database systems. The initial setup of ScyllaDB was very easy for me. The documentation is great to refer to, and I just created a cluster and deployed it on ScyllaDB Cloud easily.
What do you dislike about the product?
Right now, it's a simple database implementation I have done, and, we still have to migrate. We have the backup data from Supabase, and, we have to implement it yet on ScyllaDB. So I think I would need time to give a better answer for that.
What problems is the product solving and how is that benefiting you?
I expect ScyllaDB to resolve low latency and reliability issues for my global ranking portal, where contributors can connect and recruiters can find top talent. It offers all essential database features needed for the project.
Powerful and Fast, but Too Complex for Beginners and Smaller Teams
What do you like best about the product?
ScyllaDB is built for speed, low latency, and large-scale workloads without losing practicality
What do you dislike about the product?
it can feel complex for beginners or smaller teams, especially when the use case does not yet require distributed-system scale
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the problem of scaling data-intensive applications without sacrificing speed. That benefits me by providing a platform that is designed for low latency, high throughput, and operational efficiency in demanding environments. It is especially valuable when performance, reliability, and future scalability are important, because it helps avoid the limitations that often appear with simpler database setups as workloads grow.
SkyllaDB’s Short TTL Feature Is Great for Short-Term Vector Indexing
What do you like best about the product?
SkyllaDB’s short TTL feature is helpful when you need a short-term memory vector search.
What do you dislike about the product?
I didn't go through fully to comment on this
What problems is the product solving and how is that benefiting you?
Documentation help from all the available intellectual property of the organization.
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