ScyllaDB Enterprise
ScyllaDB, IncExternal reviews
427 reviews
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Real-Time Data Processing at Lightning Speed
What do you like best about the product?
I like ScyllaDB for its speed and adaptability. It helps us generate real-time reports and identify and resolve data-related issues with no outage. I appreciate how ScyllaDB can handle data from multiple sources like mobile devices and various streams, making real-time processing really fast and suitable for all kinds of data. I also like its ability to adopt various data sources.
What do you dislike about the product?
AI agent integration
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for real-time data processing, helping to generate reports and resolve issues during outages efficiently.
Cost-Efficient with Standout Performance
What do you like best about the product?
I like using ScyllaDB because of its standout performance and low maintenance requirements. It helps me handle a large number of events and logs efficiently without breaking the bank, providing low latency and high throughput which are very valuable.
What do you dislike about the product?
I find the documentation and out of box integration with ScyllaDB lacking. Troubleshooting can be hard, and the initial setup was difficult because it was new to us.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to handle a large number of events and logs without breaking the bank, enabling low latency and high throughput, and its performance is standout while being low maintenance, which reduces costs.
Fast and Cost-Efficient for Data Streams
What do you like best about the product?
I use ScyllaDB for educational purposes and I'm impressed with its scalability and cost efficiency. The self-serviced infrastructure is a bonus, and I find the 90% consumption utilization feature very cost-efficient. It's also impressively fast on large data stream real-time analysis. The initial setup was quite easy due to the many available resources.
What do you dislike about the product?
I am generally happy with it. Maybe the time it takes to start the cluster could be faster.
What problems is the product solving and how is that benefiting you?
ScyllaDB is scalable, cost-efficient, with self-service infrastructure. The 90% consumption utilization is economical, and it's very fast for real-time analysis of large data streams. It helps me understand data ingestion technologies better.
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.
Effortless Setup, Maximized CPU Utilization
What do you like best about the product?
I like the rolling upgrades, node replacement, and Grafana integrations with the Scylla exporter, as they make it easy to understand the live workings of the system. I also appreciate that ScyllaDB allows the database to fully utilize the CPU, solving CPU core shared issues. The initial setup of ScyllaDB was so easy.
What do you dislike about the product?
I don't like that the open source is not released after version 5.2.
What problems is the product solving and how is that benefiting you?
ScyllaDB allows our database to fully utilize CPU resources, offering improvements with rolling upgrades, node replacement, and Grafana integration that makes it easy to understand live operations.
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.
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.
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.
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