ScyllaDB Cloud
ScyllaDB, IncExternal reviews
359 reviews
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Blazing Fast, Effortlessly Scalable NoSQL with Excellent Documentation
What do you like best about the product?
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.
What do you dislike about the product?
It’s self-managed and requires a fairly deep level of technical knowledge to operate effectively.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the performance bottlenecks common in other NoSQL databases.
While many systems struggle with high latency and slow reads under heavy load, ScyllaDB delivers extremely fast and consistent read performance, even at large scale.
It fully utilizes all CPU cores and scales horizontally without losing speed, eliminating slowdowns and bottlenecks during peak traffic.
In practice, this means near real-time responses and a much more efficient infrastructure.
While many systems struggle with high latency and slow reads under heavy load, ScyllaDB delivers extremely fast and consistent read performance, even at large scale.
It fully utilizes all CPU cores and scales horizontally without losing speed, eliminating slowdowns and bottlenecks during peak traffic.
In practice, this means near real-time responses and a much more efficient infrastructure.
Cluster-Node Solution Simplifies Database Management
What do you like best about the product?
I like ScyllaDB for its cluster-node solution and the ease with which I can define data replicas. This feature is particularly beneficial in use cases where MongoDB and Cassandra might fall short. When I attempted similar tasks with another database, the process was far more complicated and confusing. As a developer who is primarily focused on application code, I appreciate not having to devote excessive time to database hurdles. Additionally, the initial setup of ScyllaDB seemed easy for me, which is advantageous for someone new to the product. These aspects make my experience with ScyllaDB more efficient and enjoyable, encouraging me to explore the platform further in the training documentation.
What do you dislike about the product?
Nothing at this moment, I need to use more before.
What problems is the product solving and how is that benefiting you?
ScyllaDB simplifies cluster-node solutions and defining data replicas, ideal for developers like me who focus on application code rather than database complexities.
Cost-Effective with Impressive Performance
What do you like best about the product?
I use ScyllaDB as a NoSQL database for appending message data before transitioning it to downstream services, where its efficiency stands out significantly. ScyllaDB is cheaper than DynamoDB, yet it offers comparable or sometimes even superior performance, which is highly beneficial for cost-effective scalability. I appreciate the SQL-like syntax that ScyllaDB provides, which enhances the usability by making it easier to query and manage data. The shard-per-core architecture is particularly impressive because it allows us to maximize CPU utilization, squeezing out extraordinary levels of performance, which is critical for our intensive processing needs. Additionally, the support team at ScyllaDB has been incredibly active and helpful in troubleshooting, making the transition smooth and instilling confidence in the adoption of their system.
What do you dislike about the product?
I find the lack of support for lightweight transactions (LWT) across nodes or partitions challenging. This limitation makes it difficult to handle transactions in a manner similar to PostgreSQL, where transactions can touch multiple tables in the database. Additionally, I would appreciate built-in support for retries, which is currently lacking and impacts the ease of handling transactions effectively.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB as a cost-effective NoSQL database with performance comparable to DynamoDB. It optimizes CPU usage with shard per core, supports SQL-like syntax, and aids in appending message data efficiently.
ScyllaDB: High Performance with Room for Improvement
What do you like best about the product?
I find ScyllaDB to offer significant strength compared to other databases, which is a major advantage for my projects. I particularly appreciate its high performance and low latency, which are crucial for my work. The thread-per-core architecture is impressive, providing linear scalability that supports massive growth effectively. This capability is what primarily attracts me to use ScyllaDB. Furthermore, I found the initial setup to be easy, making it accessible even for complex tasks. I would rate the likelihood of recommending ScyllaDB to friends or colleagues quite high, at a 9.5 out of 10.
What do you dislike about the product?
I think ScyllaDB could benefit from incorporating more user guidance features. Similar to platforms like Snowflake, having additional related resources or guidance would be helpful in enhancing the user experience.
What problems is the product solving and how is that benefiting you?
ScyllaDB offers high performance and low latency with a thread-per-core architecture, facilitating linear scalability for massive growth and solving several project-related issues.
Powerful Backend with a Steep Learning Curve
What do you like best about the product?
I use ScyllaDB as the high-performance backend database for my real-time voice chat application, and I am thoroughly impressed by its ability to efficiently manage stateful information with remarkable speed and reliability. ScyllaDB effectively handles a huge volume of reads and writes effortlessly, removing the constant worry of the database becoming a bottleneck. Its reliability allows me to focus on building my application's features instead of constantly tweaking performance. Additionally, its setup was surprisingly straightforward due to Docker, as I simply pulled the official ScyllaDB image and added it to my docker-compose.yml file, which significantly reduced the complexity of installation. Its seamless integration with my Go application via the gocql driver, along with its operation inside Docker as part of my main development stack, underscores its adaptability and ease of use in diverse development environments.
What do you dislike about the product?
I find the learning curve for ScyllaDB quite steep, especially for newcomers to distributed NoSQL databases. Transitioning from a SQL background requires a significant shift in data modeling approach, and understanding concepts like consistency levels, replication, and query patterns isn't straightforward. This complexity can be daunting and requires a dedicated effort to grasp fully.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to manage stateful information quickly for my real-time app, solving speed and scale issues, allowing me to focus on features rather than performance tuning.
ScyllaDB: Fast Reads & Writes, Ideal for High User Base
What do you like best about the product?
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 environments. Even though it took some time to understand its architecture initially, the potential for higher performance outweighs the learning curve.
What do you dislike about the product?
ScyllaDB doesn't perform well on small VMs. The initial setup took some time to understand its architecture and internal mechanisms. A relaxed CPU pinning mode could improve stability on over-subscribed cloud hosts.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to improve user authentication with faster read and write speeds than Cassandra, suitable for large user bases. It offers a Cassandra-compatible, shard-per-core architecture for high performance, though it struggles on small VMs.
Learning Curve Leveling Out, Promising Latency Features
What do you like best about the product?
I find ScyllaDB's latency to be an extremely important feature. It's crucial for me because faster response times are essential for the projects I plan to work on in the future. The security aspect of ScyllaDB also stands out as a highly valued feature. Although I'm still in the learning phase, these features are significant reasons why I am planning to use this database. Furthermore, the initial setup of ScyllaDB was relatively easy for me, despite my being new and facing some difficulties initially. Its overall usability and feature set make ScyllaDB appealing as a future choice for my projects.
What do you dislike about the product?
As of now nothing
What problems is the product solving and how is that benefiting you?
I find ScyllaDB addresses latency and security concerns, which I anticipate will be very beneficial for my future projects.
ScyllaDB – Faster and Smarter Than NoSQL
What do you like best about the product?
Much faster than Other NoSQL Alternatives in read and write speed.
Auto-sharding makes data balance easy.
Most Important, Built-in Grafana metrics are very helpful.
Auto-sharding makes data balance easy.
Most Important, Built-in Grafana metrics are very helpful.
What do you dislike about the product?
Not much to dislike.
Could add simple user and access control features.
Could add simple user and access control features.
What problems is the product solving and how is that benefiting you?
Saves time for our data and backend teams.
Helps us handle large data smoothly.
Improving our customer experience.
Helps us handle large data smoothly.
Improving our customer experience.
Fast and Reliable for Database
What do you like best about the product?
ScyllaDB is very fast and has low latency. It handles our healthcare data without delay. The system stays smooth even when data is big. It is easy to read and write data quickly.
What do you dislike about the product?
Community support is lagging as compared to other popular similar databases. It's hard for a new developer to get hands on it.
What problems is the product solving and how is that benefiting you?
We use ScyllaDB to manage our healthcare data. It helps us to get results faster and also helps in running predictions easily. Our data team can analyse records quickly(Data analysis). It help us in saving time and keeps our system stable and fast.
Good NoSQL Database for Small Scale Startups
What do you like best about the product?
ScyllaDB is very fast. It handles high load without slowing down. The partition system works well and keeps data safe and balanced.
What do you dislike about the product?
The customer support is great but unlike cassandra you won't find much help from the community.
What problems is the product solving and how is that benefiting you?
It gives strong performance and low delay. The system stays stable even when some nodes fail. It helps us run our apps smoothly most of the time.
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