ScyllaDB Cloud
ScyllaDB, IncExternal reviews
426 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Scalable High Performance with Low Latency
What do you like best about the product?
I use ScyllaDB for building high performance backend systems that need large volumes of data with very low latency. I like its performance and latency, as it can process large numbers of read and write operations while keeping the response time fast. I also like its ability to scale easily. Additionally, it's scalable and compatible with Apache Cassandra APIs, which makes integration with tools and systems much easier.
What do you dislike about the product?
One thing that could be improved in ScyllaDB is the complexity of the initial setup. For beginners, cluster configuration and tuning can take some time and requires prior knowledge. More beginner-friendly, simplified tools and setup, clearer responses for common deployment scenarios, and automated config options could help developers start more easily. I think more friendly guides could make the process much easier for new users.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for building high-performance backend systems that handle large data volumes with low latency, efficiently processing many read and write requests even under high traffic, keeping the system fast and reliable as data and users grow.
Highly Scalable and Ready to Grow
What do you like best about the product?
Scalability, quick integration, easy to use guide
What do you dislike about the product?
significant operational complexity, a steep learning curve, high infrastructure cost requirements for optimal performance, and limited suitability for transactional or highly relational data
What problems is the product solving and how is that benefiting you?
Currently I don't use ScyllaDb professionally but looking forward to it.
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.
Great Engineering, But Needs Improvements Elsewhere
What do you like best about the product?
What I like best about ScyllaDB is its "close-to-the-metal" engineering, which utilizes a shard-per-core architecture to eliminate the CPU contention and "stop-the-world" garbage collection pauses common in Java-based databases like Cassandra.
What do you dislike about the product?
While ScyllaDB is technically superior in performance, it has a smaller ecosystem and less community-contributed documentation compared to the massive Apache Cassandra or MongoDB communities, which can make troubleshooting niche issues more difficult.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the "Cassandra Migraine" and the "DynamoDB Tax" by eliminating the technical debt of legacy NoSQL architectures, specifically addressing unpredictable tail latency caused by Java's garbage collection and the agonizingly slow scaling of static token rings.
ScyllaDB: Predictable Low Latency and High Throughput at Scale
What do you like best about the product?
ScyllaDB delivers extremely low latency and high throughput at scale, which helps keep performance predictable even under heavy load. Its shard-per-core architecture and efficient I/O scheduling allow it to fully utilize modern hardware without constant tuning, and that can reduce the number of nodes we need. I also appreciate that it’s largely Cassandra-compatible while being much faster, so you get a familiar data model and ecosystem, along with better tail latencies.
What do you dislike about the product?
ScyllaDB still comes with a learning curve, particularly when it comes to data modeling and capacity planning. If you get the model or the underlying infrastructure wrong, performance can degrade quickly. It also assumes you have solid hardware and that you make careful choices around storage and memory, so it’s less forgiving than simpler databases. Because of that, it can feel like overkill for smaller or more generic workloads.
What problems is the product solving and how is that benefiting you?
ScyllaDB addresses our need for consistently low-latency reads and writes on large, write-heavy workloads where traditional relational databases or slower NoSQL options tend to struggle. It allows us to support real-time, high-throughput use cases—such as event ingestion and time-series or key-value access—on fewer nodes. As a result, we can reduce infrastructure costs while still meeting strict SLAs.
Predictable, Ultra-Low Latency Performance at Scale with ScyllaDB
What do you like best about the product?
ScyllaDB delivers extremely low latency and high throughput at scale, so it keeps performance predictable even under heavy load. Its shard-per-core architecture and efficient I/O scheduling let it fully utilize modern hardware without constant tuning, which reduces the number of nodes we need. I also like that it is largely Cassandra-compatible while being much faster, so you get a familiar data model and ecosystem with better tail latencies.
What do you dislike about the product?
ScyllaDB still has a learning curve, especially around data modeling and capacity planning; if you get the model or infrastructure wrong, performance can degrade quickly. It also expects solid hardware and careful storage and memory choices, so it is less forgiving than simpler databases and can feel like overkill for small or generic workloads.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the need for consistently low-latency reads and writes on large, write-heavy workloads where traditional relational databases or slower NoSQL options would struggle. This lets us handle real-time, high-throughput use cases (like event ingestion and time-series or key-value access) on fewer nodes, lowering infrastructure costs while meeting strict SLAs.
Optimized Database for Live Streaming Data Loads
What do you like best about the product?
It's best DB to data load amd matian the live stream data with optimised performance.
What do you dislike about the product?
I don't like purchase licence cost for organiztion level
What problems is the product solving and how is that benefiting you?
We utilise daily data loads which can be help to generate reports for end users.
Smooth Transition, Better Speed with Dedicated Support
What do you like best about the product?
I like ScyllaDB's customer support because there's a specific person available every time, so I don't have to explain my issue to different people each time. I also switched to ScyllaDB from AWS Cassandra due to its better speed and performance. The initial setup was smooth.
What do you dislike about the product?
Nothing
What problems is the product solving and how is that benefiting you?
I find the customer support really helpful, with a dedicated person available to avoid repeating issues. We switched from AWS Cassandra for better speed and performance.
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.
showing 11 - 20