ScyllaDB Cloud
ScyllaDB, IncExternal reviews
400 reviews
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External reviews are not included in the AWS star rating for the product.
ScyllaDB Gives Better Speed and Throughput Than Other NoSQL Alternatives
What do you like best about the product?
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.
What do you dislike about the product?
Some tools and features we get easily in MongoDB are not available in ScyllaDB. Also, setting up the cluster needs some learning, and simple built-in monitoring could be better.
What problems is the product solving and how is that benefiting you?
Scylladb makes our system more stable and quick than what we saw earlier with MongoDB. It improved our user experience and we also reduced the cost of database via using scylladb as our primary database.
Perfect for Storing Blockchain Data and Reducing API Costs
What do you like best about the product?
In Blockchain, we deal with a massive amount of transaction data. ScyllaDB handles high-speed writes and reads without slow down for storing our transactional data fron ethereum(other Blockchains) chain to our local storage just to make it more acessible and faster.
What do you dislike about the product?
To get the absolute best results, you need to understand how to model your data correctly (partition keys and clustering keys).
What problems is the product solving and how is that benefiting you?
ScyllaDB has solved two major problems for us: cost and latency. Fetching data directly from the blockchain through external APIs is very expensive. By storing the specific transaction data we need in ScyllaDB, we reduced our API costs significantly. Official block explorers can be slow. Because ScyllaDB is so fast, our internal tool now outperforms many public explorers. Our users can analyze their contract transactions on our platform with much better latency, which has improved overall experience.
Great Database with Strong Community and Fast Performance
What do you like best about the product?
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.
ScyllaDB events are useful and easy to follow.
Learning from the community sessions is simple.
The overall ecosystem feels strong and growing.
What do you dislike about the product?
Nothing major to dislike.
It would help if ScyllaDB had simple built-in user access features.
It would help if ScyllaDB had simple built-in user access features.
What problems is the product solving and how is that benefiting you?
The community support is great. We can depend on ScyllaDB for stable and always-on performance. It helps us increasing our revenue.
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.
Efficient and Dynamic Data Management with ScyllaDB
What do you like best about the product?
I find that ScyllaDB manages dynamic and large sets of data very efficiently. Most of the features of ScyllaDB are good, and I'm particularly impressed with how it handles more dynamic data and processing. Additionally, the initial setup of ScyllaDB was good, and the documentation and prerequisites have been very helpful.
What do you dislike about the product?
I don't have any pictures as such. Need to check out any features. And I use more scalability. I'll come to know that. Looking into more features, what's Calabrio DB.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for managing large sets of dynamic data efficiently, which helps in processing data more effectively for my projects.
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.
High Performance with Some Setup Challenges
What do you like best about the product?
I appreciate ScyllaDB for its high performance and low latency in handling NoSQL workloads, making it exceptionally useful for real-time applications such as IoT, finance, and technology, particularly when analyzing time-series data. ScyllaDB stands out as a clear replacement for Apache Cassandra, offering support for the DynamoDB API of AWS, which enhances its applicability and flexibility. I love its thread-per-core architecture, which ensures maximum CPU efficiency by eliminating context switching overhead, resulting in ultra-low latency even under heavy loads. This feature, combined with its predictable performance and automated workload isolation, delivers consistent throughput without stability issues, making ScyllaDB ideal for real-time and high concurrency systems. The database excels in key performance metrics such as scalability and cost efficiency, providing 20x better throughput and more predictable performance under heavy load compared to other NoSQL databases like Cassandra, MongoDB, and DynamoDB. I also value the cloud model ScyllaDB offers, along with its strong support for time series data.
What do you dislike about the product?
I find the documentation depth lacking, which makes it difficult to fully grasp all aspects of the software. The setup process could be more user-friendly, possibly through an agent-based setup. There is inadequate support for complex use cases such as migration and cloud integrations like AWS. Additionally, the tools for data export or import need improvement. I faced hardware challenges initially, which were a significant hurdle during the setup of ScyllaDB.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for high-performance, low-latency NoSQL workloads, solving scalability and cost efficiency issues. It provides 20x better throughput, predictable performance under heavy load, and is ideal for real-time and high-concurrency systems, clearly outperforming other NoSQL databases.
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