ScyllaDB Enterprise
ScyllaDB, IncExternal reviews
430 reviews
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External reviews are not included in the AWS star rating for the product.
High Performance, Low Latency Database Solution
What do you like best about the product?
I like ScyllaDB for its high performance and low latency, even when handling large-scale workloads. The compatibility with Cassandra makes migration and integration easier for us. I also appreciate its efficient resource utilization, allowing us to get better performance with the same hardware, and its strong scalability.
What do you dislike about the product?
One area that could be improved is the learning curve for new users as configuring and tuning can be a bit complex at first.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to store large volumes of data. It handles high-throughput workloads with low latency and is highly compatible with Cassandra, easing integration. It enhances performance with better resource utilization and provides strong scalability.
Extreme Performance and Efficiency with ScyllaDB
What do you like best about the product?
What I like best about ScyllaDB is its extreme performance and efficiency. It is designed in C++ and uses a shard-per-core architecture, allowing it to fully utilize modern CPUs and deliver very low latency and high throughput compared to many other NoSQL databases.
What do you dislike about the product?
One drawback of ScyllaDB is that it can be complex to deploy and tune properly, especially for beginners, because it requires careful configuration of hardware resources to achieve its best performance.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves problems of high-volume data handling, scalability, and low-latency performance. It benefits me by allowing applications to process large amounts of data quickly and scale efficiently without performance bottlenecks.
High-Performance ScyllaDB for Large-Scale Workloads with Cassandra Compatibility
What do you like best about the product?
ScyllaDB stands out for its performance and efficiency when working with large-scale, data-intensive workloads. The architecture is designed to fully utilize modern hardware, which helps deliver low latency and high throughput even under heavy traffic. I also appreciate that it is compatible with Cassandra, which makes migration or integration easier for teams already familiar with that ecosystem. The documentation and technical talks from the community make it easier to understand distributed database concepts and real-world scaling challenges.
What do you dislike about the product?
Because ScyllaDB is designed for high-scale distributed systems, it can feel complex for beginners who are new to distributed databases. Some concepts around cluster management, tuning performance, and infrastructure requirements may require a learning curve. Smaller teams or projects that do not require extreme scale might find it more advanced than what they need compared to simpler managed databases.
What problems is the product solving and how is that benefiting you?
ScyllaDB addresses the challenge of handling large volumes of real-time data with consistent performance. It is especially useful for applications that require low latency and high availability, such as analytics platforms, messaging systems, and large online services. From a learning and research perspective, exploring ScyllaDB helps deepen my understanding of distributed databases, scalability, and modern data infrastructure, which are important areas as technology and data governance continue to evolve.
High Performance and Easy Setup
What do you like best about the product?
I like ScyllaDB for its ability to deliver extremely high performance with predictable latency, which is valuable for modern systems that are latency sensitive. I also find it reliable and it helps tackle performance and scalability issues. The initial setup was quite easy.
What do you dislike about the product?
nothing at this point still new to it
What problems is the product solving and how is that benefiting you?
ScyllaDB tackles performance and scalability issues, providing reliable and high performance with predictable latency which is valuable for latency-sensitive systems.
Seamless Cassandra Transition with High Throughput
What do you like best about the product?
I use ScyllaDB to store high throughput IoT pings, and it effectively handles high throughput ingestion. The transition to ScyllaDB from Cassandra was made easier because it is very much compatible with Cassandra, facilitating a smoother migration. I would highly recommend ScyllaDB to others, rating it a 10 out of 10.
What do you dislike about the product?
No
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for high throughput ingestion, and migrating from Cassandra was easier due to its compatibility.
Best Performance and Low Latency with NoSQL Database (ScyllaDB)
What do you like best about the product?
I like ScyllaDB's performance, especially because it's impacted by its indexing and the whole database being written in C++, which serves as the building block for a faster NoSQL DB. It's great for storing our ERP system, especially as we introduce new features and are unsure about the schema size. This NoSQL wide column structure allows us to store a wide range of data. Performance is great compared to MongoDB, and it has very low latency. We experienced a decrease in latency while debugging through the log.
What do you dislike about the product?
I find ScyllaDB's UI to be very minimal. It doesn't have native integration for cloud functions like MongoDB or Firebase. Also, live streaming requires extra setup compared to Firebase.
What problems is the product solving and how is that benefiting you?
With ScyllaDB, I don’t need to worry about data size or schema types. It handles our ERP system(Gateway group of companies erp systen) flawlessly with great performance and low latency, improving user experience significantly.
ScyllaDB performs well in every measurable way, throughput, latency, cost, and efficiency.
What do you like best about the product?
Scylladb change in their license policy, which will have an effect for anyone who is self-hosting and using the non-enterprise version.
What do you dislike about the product?
poor documentation with limited features
What problems is the product solving and how is that benefiting you?
ScyllaDB performs well than Cassandra in nearly every measurable way, throughput, latency, cost, and efficiency.
It also simplifies the operations while offering enterprise-grade NoSQL features.Migration is non-disruptive and well-documented, supported by mature tools.
It also simplifies the operations while offering enterprise-grade NoSQL features.Migration is non-disruptive and well-documented, supported by mature tools.
Best NoSQL Database for Storing non-text data (e.g. BSON)
What do you like best about the product?
Below are the things that I like the most about ScyllaDB:
- Stores millions of legal documents(in bson) without problem
- High throughput helps our ML pipelines run faster
- Indexing is very good and helps in quick search
- Low latency while reading and processing documents
- Stores millions of legal documents(in bson) without problem
- High throughput helps our ML pipelines run faster
- Indexing is very good and helps in quick search
- Low latency while reading and processing documents
What do you dislike about the product?
Nothing to dislike about Scylladb but in our use-case Query patterns must be fixed early.
What problems is the product solving and how is that benefiting you?
- Scylladb Helps us manage huge legal document data easily
- It Makes document analysis fast and reliable due to it's low latency
- Supports ML pipelines with maximum throughput
- It Makes document analysis fast and reliable due to it's low latency
- Supports ML pipelines with maximum throughput
High-Performance and Scalable, But Needs Better Monitoring
What do you like best about the product?
I appreciate that ScyllaDB can store a large amount of data without any performance issues, which is crucial for our AI model training. The high throughput allows us to read and write data quickly even during heavy workloads, and its low latency means we can feed data to AI models very quickly, reducing training time. Performance stays stable as data grows, which makes our AI pipeline smooth and reliable.
What do you dislike about the product?
Monitoring the database anomalies can be improved, few built-in tools compared to other databases. Otherwise nothing to dislike about.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to store large data sets for AI model training. It helps store data safely and feeds data quickly due to low latency, reducing training time and making the AI pipeline smooth and reliable.
Best Performance in NoSQL Databases
What do you like best about the product?
* ScyllaDB is very fast and gives results quickly
* Latency is very low, even when data is big
* Handles heavy traffic and workloads easily
* Keeps system stable with no downtime
* Latency is very low, even when data is big
* Handles heavy traffic and workloads easily
* Keeps system stable with no downtime
What do you dislike about the product?
Nothing to dislike about scylladb as per our usecase, but in future it will be good to have real time database storage like firestore in firebases.
What problems is the product solving and how is that benefiting you?
It Improves performance for real-time systems and Keeps our apps fast and users happy.
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