ScyllaDB Enterprise
ScyllaDB, IncExternal reviews
430 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Implementation-Friendly
What do you like best about the product?
Adopting ScyllaDB into our existing setup without any hassle has been the most welcome part, as it feels very implementation-friendly.
What do you dislike about the product?
The time it takes to integrate with a production environment in a hybrid cloud setup is a bit of a concern.
What problems is the product solving and how is that benefiting you?
High performance with the expected scalability in a multicloud environment is very beneficial.
Low Latency and Seamless Data Integration
What do you like best about the product?
I use ScyllaDB as a database store for internal management services like ticketing management. One thing I like most about ScyllaDB is the low latency. I had tried Redis; it was low but expensive, so I had to switch. Then I saw the Last Monster Summit and decided to try ScyllaDB, and till now, I have no regrets. Users see updates on the leaderboard instantly instead of waiting 400ms with the database. This low latency was the main driver for switching from Postgres and Redis to ScyllaDB. Initially, the setup was good.
What do you dislike about the product?
One thing I felt that could be improved is a bit on documentation and some examples for already setup systems would be appreciated.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for high data throughput, preventing data loss. It offers low latency, making leaderboards update instantly instead of waiting for 400ms.
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.
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.
Innovative, Simple, and User-Friendly
What do you like best about the product?
I like ScyllaDB for its innovation and great interface. I also find the initial setup quite simple, which makes it easy to get started.
What do you dislike about the product?
sometimes few thing are annoying
What problems is the product solving and how is that benefiting you?
ScyllaDB solves my programming state issues with its innovative and easy-to-use interface.
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.
showing 21 - 30