ScyllaDB Enterprise
ScyllaDB, IncExternal reviews
357 reviews
from
and
External reviews are not included in the AWS star rating for the product.
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.
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.
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.
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.
Best NoSql database for performance at scale
What do you like best about the product?
Super Fast Speed: The main thing is the speed. It is much faster than other similar databases, and low latency is very good for our application.
Performance at Scaling: We can handle millions of requests and high data load very easily. It scales up without giving us much trouble.
Performance at Scaling: We can handle millions of requests and high data load very easily. It scales up without giving us much trouble.
What do you dislike about the product?
Small community. Good to have user access management inbuilt.
What problems is the product solving and how is that benefiting you?
The database is very reliable and is always available. We do not have any surprise crashes or service interruptions. Our customer-facing features are very fast and reliable.
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.
showing 1 - 10