ScyllaDB Cloud
ScyllaDB, IncExternal reviews
400 reviews
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ScyllaDB Delivers Extreme Performance, Low Latency, and Exceptional Scalability
What do you like best about the product?
ScyllaDB are its extreme performance, low latency, and exceptional scalability. It is widely considered a superior, high-performance alternative to Apache Cassandra, often allowing users to handle larger workloads with fewer nodes.
What do you dislike about the product?
the main drawbacks of ScyllaDB revolve around its steep learning curve, operational complexity, and the specialized, high-resource hardware required to achieve its promised performance
What problems is the product solving and how is that benefiting you?
ScyllaDB solves high-volume data, and, unpredictable,,latency bottlenecks by replacing inefficient Java-based systems (like Cassandra or MongoDB) with a C++ shard-per-core architecture. It provides sub-millisecond, consistent performance at petabyte scale, drastically reducing infrastructure,costs, eliminating manual tuning, and ensuring high,availability
Low-Latency Queries, Smooth Overall Experience
What do you like best about the product?
What I like best about ScyllaDB is its high performance and low latency. It’s designed to fully utilize modern hardware, which makes it extremely efficient for handling large-scale workloads while remaining compatible with Cassandra.
What do you dislike about the product?
One downside is that ScyllaDB can be more complex to tune and operate effectively, especially for teams that are new to distributed databases. Understanding data modeling and cluster management is important to get the best performance.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the problem of handling large-scale data with low latency and high throughput. Its efficient architecture allows systems to process huge volumes of requests without significant performance degradation. This benefits me by providing a reliable and scalable database that can support demanding applications.
Lightning-Fast and Reliable, Needs Better Indexing
What do you like best about the product?
I find ScyllaDB to be very fast and robust, which is crucial for my analytics and transactions tasks. I really appreciate the speed it offers, and the faster write capabilities make it stand out for me.
What do you dislike about the product?
Indexing
What problems is the product solving and how is that benefiting you?
ScyllaDB provides me speed and robustness for analytics and transactions.
Scalable and Efficient with Compatibility Plus
What do you like best about the product?
I like ScyllaDB's impressive performance and efficiency, delivering very low latency even under heavy workloads. Its excellent use of available hardware allows us to handle large datasets with fewer nodes, which helps in reducing operational costs. The seamless compatibility with Apache Cassandra is also a big plus, as it makes adoption easier while we still benefit from significant performance improvements and scalability. I value how it allows us to keep our APIs responsive and services stable during traffic spikes.
What do you dislike about the product?
One area that could be improved in ScyllaDB is the operational learning curve. While it performs extremely well once properly configured, tuning and managing clusters can require solid distributed systems knowledge. Some ecosystem tools and documentation are also less mature compared to Apache Cassandra, so troubleshooting or advanced setups may take additional effort.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB as a scalable database for high throughput and low latency needs. It handles large data volumes without bottlenecks, maintains low latency under load, and efficiently manages datasets. Its Cassandra compatibility eases integration while providing predictable performance and better hardware utilization.
Effortless Scaling with Blazing Query Speed
What do you like best about the product?
I appreciate that ScyllaDB allows us to easily scale our database to monstrous levels. I like the fast querying feature, making our reads for data engineering workloads much faster. The initial setup of ScyllaDB was super easy, which was a significant plus.
What do you dislike about the product?
Nothing comes to mind
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for monstrous scale and fast querying, enabling faster reads for DE workloads and easier database scaling.
Excellent NoSQL Solution with High Availability and Strong Performance
What do you like best about the product?
Excellent no sql solution with High availability, user personalization and performance driven DB solutions out there
What do you dislike about the product?
Little complex to start with, and takes a while to get used to it
What problems is the product solving and how is that benefiting you?
DaaS, cost effectiveness and best deployment with higher throughput
Efficient Data Storage with ScyllaDB's Sharding and Performance
What do you like best about the product?
I appreciate ScyllaDB's sharding and native change data capture, which are pretty significant features that stand out for me. The performance is really a big plus, making it faster for me to get to market. These aspects are crucial, especially when dealing with NoSQL data storage.
What do you dislike about the product?
I dislike the Docker distribution.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps me store NoSQL data efficiently, with features like sharding and native change data capture enhancing performance and speeding up our go-to-market efforts.
Efficient Scaling with Top-Class Compatibility
What do you like best about the product?
I use ScyllaDB for efficient storage. I appreciate its tail latency guarantees and the fact that it scales well beyond my needs, so I don't need to worry about migrating anywhere. I like its compatibility with CQL and the custom extensions that are performance-oriented, such as bypassing the cache for certain queries. I find their Rust driver to be top class for both ScyllaDB and Cassandra, and it's important because latency-sensitive systems are often built in Rust. I also enjoy that the whole ecosystem of tools that works with Cassandra works with ScyllaDB too. The initial setup was easy to follow from the docs.
What do you dislike about the product?
I sometimes wish for more SQL compatibility, like being able to send a complex query that joins multiple tables.
What problems is the product solving and how is that benefiting you?
I trust ScyllaDB's tail latency guarantees and its scalability beyond my needs, so I don't need to worry about migrating. It provides efficient storage.
High-Performance, Needs Better Documentation
What do you like best about the product?
I like the vector search feature in ScyllaDB because it means I do not need a separate vector database. The initial setup was quite easy for me because it's not so different from other tools, and there are a lot of tutorials available on the internet.
What do you dislike about the product?
I find the documentation and tutorials lacking. They could really use more detailed examples for vector search.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for handling large volumes of concurrent reads. The vector search means I don't need a separate vector database, which I find valuable.
High Throughput That Delivers
What do you like best about the product?
High throughput and reduced latency withh redundancy
What do you dislike about the product?
Nothing in particular but it has steep learning curve
What problems is the product solving and how is that benefiting you?
Better Performance: Faster, more responsive applications.
Cost Savings: Lower infrastructure spend due to higher efficiency.
Simplified Operations: Less time spent on database tuning and maintenance.
Future-Proofing: Easily scales as data volume grows.
Cost Savings: Lower infrastructure spend due to higher efficiency.
Simplified Operations: Less time spent on database tuning and maintenance.
Future-Proofing: Easily scales as data volume grows.
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