ScyllaDB Cloud
ScyllaDB, IncExternal reviews
400 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, 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.
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.
Predictable Low-Latency Performance at Scale with ScyllaDB
What do you like best about the product?
What I like most about ScyllaDB is how it pairs very low latency with predictable performance at scale, staying stable even as traffic and data volumes increase. It also feels efficient in terms of hardware usage, often needing fewer nodes than many other NoSQL options to handle the same workload. On a day-to-day basis, the CQL-style query language and the familiar wide-column model make it approachable once you’ve learned the basics, and integration with existing tooling and drivers is generally straightforward. Overall, it offers a strong balance of raw performance, operational maturity, and feature completeness.
What do you dislike about the product?
ScyllaDB has a noticeable learning curve, especially when it comes to getting the data model and partition keys right from the start, and mistakes in these areas can be painful to correct later. It’s also less “plug-and-play” than simpler databases, since it expects solid hardware, careful capacity planning, and close attention to storage configuration. For smaller teams or more casual use, the operational and conceptual overhead can feel like overkill. And while the feature set is strong for high-throughput transactional workloads, it isn’t a one-size-fits-all replacement for analytics or ad-hoc querying, so you often end up pairing it with other systems.
What problems is the product solving and how is that benefiting you?
ScyllaDB addresses the need for consistently low-latency reads and writes in high-volume, real-time workloads where traditional relational databases or slower NoSQL options can struggle. It performs well in scenarios such as event streams, user activity tracking, time-series data, and key-value access patterns that need to remain responsive under heavy load. By handling this level of traffic with relatively few nodes, it helps us keep infrastructure costs under control while still meeting strict performance and availability requirements. As a result, we can build user-facing features that depend on fresh data without sacrificing speed or reliability.
High Performance with Manageable Learning Curve
What do you like best about the product?
I like ScyllaDB for its shard per core design because it's NUMA friendly and eliminates contentions and locks in network event streaming. It provides linear scalability per core, which I find great since there are no GC pauses, helping to eliminate tail latency spikes like we experienced with Cassandra. I also appreciate the massive throughput, which helps with high volume ingestion.
What do you dislike about the product?
I find ScyllaDB's data modeling challenging and the learning curve quite strict. The strict data modeling makes schema changes later difficult, especially if the event starts to have additional data.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to solve performance, scaling, and cost bottlenecks I faced with Cassandra and DynamoDB for data-intensive network analytics.
One of the best high performance databases for scaling
What do you like best about the product?
ScyllaDB is one of the best of its kind when it comes to its performance and efficient resource utilization. Its ability to use modern hardware and deliver very high throughput with extremely low latency is very impressive. It seamlessly handles large volumes of data and concurrent requests while performing better than other traditional NoSQL databases. Plus, it is easy to integrate with the existing workflows.
What do you dislike about the product?
While it is such a great database for handling large chunks of data, the operational challenge can be a bottleneck for newly distributed teams.
What problems is the product solving and how is that benefiting you?
In our organization, we handle large volume of sensitive data and ScyllaDB helped handle such large-scale high throughput data with minimal latency. The best part is that it uses its shard-per-core architecture that allows it to fully utilize modern multi-core CPUs. Thus, the performance becomes positively predictable even under heavy load. We don't have to spend our time and efforts in constant scaling of infrastructure because of its system responsiveness. Its stable performance enables us to operate smoothly with real-time applications and data-intensive services.
Handles High Write Loads with Ease
What do you like best about the product?
I find ScyllaDB easy to query and capable of ingesting a high volume of data. I receive about 50K insert queries per second, along with subsequent update queries on SMS delivery reports, and it's handled well by ScyllaDB. Setting up the initial multi-data center cluster was also very easy.
What do you dislike about the product?
I don't like altering the schema or querying on non-primary index data without using allow filtering.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for handling heavy writes and updates per second. It's easy to query and ingest high data volumes, managing 50K/s insert queries and updates on SMS DLRs effectively.
Low Latency and Easy Setup for Versatile Projects
What do you like best about the product?
I like ScyllaDB because of its very low latency, which helps a lot with both my personal and technical projects. Being a technical person, I appreciate the technical details proving its efficiency with large data. The setup process was easy, and nothing was particularly hard with it.
What do you dislike about the product?
Nothing in specific.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for building native applications due to its very low latency, which is crucial for my projects with large data.
Reliable Performance and Cost-Effective
What do you like best about the product?
I appreciate ScyllaDB for its performance and speed, as it rectifies the issue of slowness. It's cost-efficient compared to other options. I find that for business, speed matters most, and ScyllaDB is one of the best products in the market. The initial setup was pretty easy, which adds to its appeal.
What do you dislike about the product?
I think ScyllaDB could be improved by making it accessible via business tools like Tableau and Power BI.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for performance and speed, solving the issue of slowness in business operations.
Reliable, Cost-Effective NoSQL That Eliminates Performance Bottlenecks
What do you like best about the product?
It is a reliable and cost-effective NoSQL solution that effectively eliminates performance bottlenecks for today’s heavy-duty applications.
What do you dislike about the product?
Cost of DB for running my applications compared to a self hosted solution.
What problems is the product solving and how is that benefiting you?
Moving to ScyllaDB has been an absolute game-changer for handling data-intensive microservices. Previously, we were fighting garbage collection pauses and had to over-provision hardware to ensure our latency was under control. With ScyllaDB's C++ architecture, we no longer have to worry about any of these issues. The migration was incredibly smooth due to its CQL compatibility and has resulted in our throughput going through the roof while our cloud costs decrease significantly. It can handle massive spikes in traffic with single-digit millisecond latency and is a must-have powerhouse for any team that needs ultra-fast and reliable NoSQL without the constant administrative hassle.
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