ScyllaDB Cloud
ScyllaDB, IncExternal reviews
426 reviews
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Low Latency and Easy Setup for Versatile Projects
What do you like best about the product?
I like ScyllaDB because of its very low latency, which helps a lot with both my personal and technical projects. Being a technical person, I appreciate the technical details proving its efficiency with large data. The setup process was easy, and nothing was particularly hard with it.
What do you dislike about the product?
Nothing in specific.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for building native applications due to its very low latency, which is crucial for my projects with large data.
Reliable Performance and Cost-Effective
What do you like best about the product?
I appreciate ScyllaDB for its performance and speed, as it rectifies the issue of slowness. It's cost-efficient compared to other options. I find that for business, speed matters most, and ScyllaDB is one of the best products in the market. The initial setup was pretty easy, which adds to its appeal.
What do you dislike about the product?
I think ScyllaDB could be improved by making it accessible via business tools like Tableau and Power BI.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for performance and speed, solving the issue of slowness in business operations.
Reliable, Cost-Effective NoSQL That Eliminates Performance Bottlenecks
What do you like best about the product?
It is a reliable and cost-effective NoSQL solution that effectively eliminates performance bottlenecks for today’s heavy-duty applications.
What do you dislike about the product?
Cost of DB for running my applications compared to a self hosted solution.
What problems is the product solving and how is that benefiting you?
Moving to ScyllaDB has been an absolute game-changer for handling data-intensive microservices. Previously, we were fighting garbage collection pauses and had to over-provision hardware to ensure our latency was under control. With ScyllaDB's C++ architecture, we no longer have to worry about any of these issues. The migration was incredibly smooth due to its CQL compatibility and has resulted in our throughput going through the roof while our cloud costs decrease significantly. It can handle massive spikes in traffic with single-digit millisecond latency and is a must-have powerhouse for any team that needs ultra-fast and reliable NoSQL without the constant administrative hassle.
Solid Vector Search Support, Room to Grow
What do you like best about the product?
vector search support
rest api compatibility
rest api compatibility
What do you dislike about the product?
integrating with complex legacy product like the one i work on , the cost insreases .My product still uses wsssdl way of api communication
What problems is the product solving and how is that benefiting you?
as no data is shared , its ideal for our saas product which is based on microservice architecture . this helps is moving from distributed monolith arch to actual microservice arch
Fast, Scalable, but Pricey Database Solution
What do you like best about the product?
I like the speed and scalability of ScyllaDB. We need to be able to get the data out of the key value store in less than 10ms and be able to scale horizontally, which is why we are considering ScyllaDB.
What do you dislike about the product?
I find the license more expensive than our current solution.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for its speed and scalability to retrieve key-value data in under 10ms and scale horizontally.
Scalable, Fast, and Developer-Friendly
What do you like best about the product?
I really like ScyllaDB for its compatibility with CQL and its large ecosystem. The community and documentation are amazing, which is a huge plus for us. I find ScyllaDB to be fast, atomic, and provides scalable column databases. The initial setup was pretty easy too, as we just used the docker image.
What do you dislike about the product?
I think new features are not really visible unless you actually go looking for them.
What problems is the product solving and how is that benefiting you?
ScyllaDB provides fast, atomic, and scalable column databases, essential for powering our messaging platform.
Best Performance and Low Latency with NoSQL Database (ScyllaDB)
What do you like best about the product?
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 compared to MongoDB, and it has very low latency. We experienced a decrease in latency while debugging through the log.
What do you dislike about the product?
I find ScyllaDB's UI to be very minimal. It doesn't have native integration for cloud functions like MongoDB or Firebase. Also, live streaming requires extra setup compared to Firebase.
What problems is the product solving and how is that benefiting you?
With ScyllaDB, I don’t need to worry about data size or schema types. It handles our ERP system(Gateway group of companies erp systen) flawlessly with great performance and low latency, improving user experience significantly.
Strong Performance for ML Pipeline with ScyllaDB
What do you like best about the product?
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.
What do you dislike about the product?
Data modeling needs to be done carefully. We must design partition keys properly to get best speed. Monitoring and tuning need some effort when data grows very large.
What problems is the product solving and how is that benefiting you?
We store large ML training and inference data in ScyllaDB. During model training, data is read very fast without delay. High throughput helps us process many records at the same time. Because of this, our ML pipeline runs faster and we complete training jobs in less time.
ScyllaDB performs well in every measurable way, throughput, latency, cost, and efficiency.
What do you like best about the product?
Scylladb change in their license policy, which will have an effect for anyone who is self-hosting and using the non-enterprise version.
What do you dislike about the product?
poor documentation with limited features
What problems is the product solving and how is that benefiting you?
ScyllaDB performs well than Cassandra in nearly every measurable way, throughput, latency, cost, and efficiency.
It also simplifies the operations while offering enterprise-grade NoSQL features.Migration is non-disruptive and well-documented, supported by mature tools.
It also simplifies the operations while offering enterprise-grade NoSQL features.Migration is non-disruptive and well-documented, supported by mature tools.
Low Latency That Delivers at Scale
What do you like best about the product?
What I like best about ScyllaDB is its performance and efficiency at scale.
What do you dislike about the product?
One thing I dislike about ScyllaDB is that its advanced architecture can raise the learning curve, especially for teams new to distributed systems or coming from traditional databases. Understanding concepts like shard-per-core, tuning, and operational best practices takes time.
What problems is the product solving and how is that benefiting you?
scaling high-throughput, low-latency workloads without excessive infrastructure cost or operational complexity
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