ScyllaDB Cloud
ScyllaDB, IncExternal reviews
430 reviews
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External reviews are not included in the AWS star rating for the product.
High Performance but Needs a Bigger Ecosystem
What do you like best about the product?
I use ScyllaDB for high throughput backend services that require low latency reads and writes at scale. I like its sharding and shard per core architecture. I also appreciate its compatibility with Cassandra, supporting Cassandra drivers and CQL, which my organization was already experienced with. Switching to ScyllaDB was easy because the same queries and driver configurations worked without code changes. It integrates well with Apache Cassandra drivers, monitoring tools like Prometheus, and visualization platforms like Grafana. The initial setup was fairly straightforward, thanks to the available documentation and compatibility with Apache Cassandra. ScyllaDB delivers excellent performance and scalability for high-throughput workloads.
What do you dislike about the product?
I think the ecosystem and community resources are still smaller, which can be a bit limiting. The configuration also feels a bit manual, especially when it comes to node removal. I feel expanding documentation with more real-world architecture examples, migration guides from Apache Cassandra, and best-practice patterns for scaling and tuning clusters would help developers adopt it faster. A larger community presence with more open discussions, tutorials, and troubleshooting resources would make it easier for teams to resolve issues and learn from practical production use cases.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for high-throughput backend services requiring low latency at scale. It manages large volumes of data with very low latency and is compatible with Cassandra.
High-Performance Open-Source NoSQL Database Built for Scale
What do you like best about the product?
It is a high performance, open-source NoSQL database; what is not to love? I think the way it is setup it really helps when building databases at scale.
What do you dislike about the product?
There is some learning curve to using ScallyDB, so it is hard sometimes to get juniors on-boarded with using it given how specialised of a tool it is. It is also not a general purposes database which is both a pro and a con; meaning it fills a very narrow number of use-cases given the cost-benefit analysis.
What problems is the product solving and how is that benefiting you?
The obvious answer is my answer which is dealing with high latency issues with traditional databases as well as high-throughput which is ideal for massive scale.
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.
Massive Throughput, Slight Learning Curve
What do you like best about the product?
I find ScyllaDB to be really effective for managing the world's largest data migrations with 99.9% data quality and minimal downtime. I really like the High Velocity Migration and scalable metadata storage features. ScyllaDB acts as a staging layer for high volume migrations and offers high speed. It also handles scalable metadata storage efficiently by managing large catalogs for metadata and business rules. It works well for massive throughput and predictive latency. I also appreciate that setting it up on the cloud is easiest, especially using Docker, though it requires knowledge of persistence storage and networking.
What do you dislike about the product?
I think ScyllaDB's learning curve could be improved. Also, the monitoring can get quite complex. Setting it up on Docker is a bit tricky because you need to know about persistent storage and networking.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us manage large data migrations with 99.9% data quality and minimal downtime, solving capacity issues and ensuring no downtime.
Low-Effort Scalability, but Needs Broader Use Case Coverage
What do you like best about the product?
Low Effort for Scalability, capability to support HUGE datasets.
What do you dislike about the product?
Need to cover more use cases.
World is more than unstructured
World is more than unstructured
What problems is the product solving and how is that benefiting you?
Management of large volume of logs.
High Performance, Challenging Setup
What do you like best about the product?
I like ScyllaDB for its high performance and the ability to handle massive amounts of security data without slowing down. Its low latency querying is valuable because it allows me to retrieve information almost instantly during investigations. I also appreciate its speed, scalability, and reliability, which are critical for my cybersecurity projects.
What do you dislike about the product?
Configuring nodes, replication, and monitoring in ScyllaDB was a bit intimidating, especially under the hackathons' time frame. Setting up isn't always straightforward and it presents a big learning curve. Initial setup was not easy. Simplifying cluster wizards for quickly setting up smaller clusters and pre-configured templates for common scenarios would help.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB in cybersecurity projects for its speed, scalability, and ability to handle large volumes of security data. It solves high-volume log ingestion issues, allowing me to store and analyze datasets from tools like nmap without slowing down.
Low-Latency, High-Throughput Vector Store—Still Exploring the Rest
What do you like best about the product?
low latency high throughput vector store
What do you dislike about the product?
the cap for default to 100 tablets complexity
What problems is the product solving and how is that benefiting you?
hight ingestion of logs with low latency
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.
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