Submillisecond latency high performance workload useful for key-value store
What do you like best about the product?
Blazingly fast and scalable with more than 50k+ queries going per seconds.
Docker images are easy to setup and docs are very relevant along with good tutorials at university.scylladb.com.
Its a stable database giving high availability and high performance after tweaking and tuning for particular usecase.
What do you dislike about the product?
There is no autoconfig which can set tunables optimal for a given hardware which is must to get high performance.
Other than that, there are not major downsides except there is not much gain from the scylladb if request rates are very low. Other databases perform better for smaller usecases.
What problems is the product solving and how is that benefiting you?
Its a high performance database which can scale really well and uses docker underneath for easy management and compatiblity.
Outstanding data management
What do you like best about the product?
I have been using SCYLLA since last 2 years and it has highly proven to be reliable and powerful due to its scalability, robust performance and performing tasks on large amount of data
What do you dislike about the product?
No major dislikes but I feel that it could be bit hard for new consumers to learn and for this documentation should be more elaborated
What problems is the product solving and how is that benefiting you?
It is helpful in executing the queries with low latency and mainly on the huge amount of data which is a big challenge in todays world
An Useful and Highly effective NoSQL Database
What do you like best about the product?
Its tremendous scalability and performance for handling enormous databases.
What do you dislike about the product?
The configuration's complexity along with the elevated learning curve.
What problems is the product solving and how is that benefiting you?
The issue of managing high-volume, low-latency data demands is being resolved by ScyllaDB, which helps me by enabling quicker data retrieval and better application performance, guaranteeing a seamless user experience.
Highly scalable and low latency db
What do you like best about the product?
I’m fascinated to use scylladb in my recent engagement where we are utilising the multiple features of scylladb like high performance, scalable and fault tolerant database. Full pack db making it our go to nosql db.
What do you dislike about the product?
My team always gets stuck, and it’s hard to figure out the issue due to the lack of customer support or because it's a bit complex to get started.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves high-performance, low-latency database challenges, benefiting with faster data access and scalability.
Performance and Scalability in NoSQL Databases
What do you like best about the product?
With low latency and great throughput, ScyllaDB is renowned for its excellent performance. It is capable of effectively managing several concurrent requests and massive volumes of data.You may easily add more nodes to your cluster without experiencing major downtime or reconfiguration because to its easy horizontal scaling. It is hence appropriate for expanding applications. ScyllaDB and Apache Cassandra can coexist, allowing you to migrate your data with no difficulty using the same client drivers and tools. To provide optimal performance and an even load distribution among nodes, the database automatically shards data.
What do you dislike about the product?
In order to attain its high performance, ScyllaDB can be rather resource-intensive, requiring a large amount of CPU and RAM. When compared to certain alternative NoSQL systems, this may result in increased infrastructure expenses. ScyllaDB has good performance, but careful configuration and tuning may be necessary to get the best results. This can be difficult and time-consuming.There may occasionally be latency spikes due to a variety of factors, including heavy write workloads or node failures. Even though they are uncommon, these can affect applications that need a constant low latency.
What problems is the product solving and how is that benefiting you?
ScyllaDB is perfect for applications that need to process data in real-time and respond quickly because of its design to provide both high throughput and low latency. Users gain from this since it makes it possible for them to effectively manage massive data volumes and several concurrent requests, guaranteeing a seamless user experience. ScyllaDB easily expands horizontally, enabling customers to grow their cluster by adding more nodes without requiring a lot of reconfiguration or downtime. Users gain from this since it smoothly handles increasing data quantities and user demands without sacrificing speed. ScyllaDB is compatible with Cassandra, allowing users to take advantage of the client drivers, tools, and knowledge already in place. Users gain from this since it facilitates a seamless transfer and lowers the learning curve for teams that are already acquainted with Cassandra.
Optimizing Data Management with ScyllaDB: A Review
What do you like best about the product?
The outstanding performance and scalability of ScyllaDB are what I find most appealing. It is remarkable that ScyllaDB can maintain high throughput and low latency even when it is under a lot of demand. Its perfect integration with Cassandra guarantees a seamless transfer at a markedly enhanced speed. Furthermore, ScyllaDB is a reliable and affordable option for managing massive, real-time data workloads because to its auto-tuning features and smart use of hardware resources. For contemporary data management requirements, ScyllaDB is a strong and dependable option because of its user-friendly interface and extensive monitoring features, which further improve the whole experience.
What do you dislike about the product?
The setup and configuration complexity of ScyllaDB, which can be difficult for novices, is what I find objectionable. Furthermore, the documentation, while extensive, sometimes lacks clarity for advanced features.
What problems is the product solving and how is that benefiting you?
ScyllaDB addresses scalability and high-latency problems in data management. We gain from its enhanced performance and economical use of resources, which allow for real-time analytics and the smooth management of heavy workloads.
High Performing Db with low latency
What do you like best about the product?
I really like scylla db over other dbs because of follwoing features over any other no sql sb:
1. Its ease of use differentiates it to any other db
2. it's integration with other dbs like cassandra is very good.
3. It scalability and high perfromance functionality makes it a good choice over other db
What do you dislike about the product?
It's customer support and documentation part could be improved as when in trouble feels like a hurdle to continue the work
What problems is the product solving and how is that benefiting you?
While working on huge data for our client we fel like speed and latency was a roadblock but with syclla db high performance and speed that too with low latency make it a best choice. It's easy to start with andintersting concept make it the best. Although price is bt expensive but over features compared to other competitive dbs equalises it.
Consumes fewer computing resources and requires minimal maintenance
What is our primary use case?
We use the platform to manage advertising-related data, such as tracking ad views and demographic information.
What is most valuable?
The product's most valuable features are efficiency and reliability. Compared to similar tools, it consumes fewer computing resources and requires minimal maintenance, ensuring smooth operations.
For how long have I used the solution?
I have been using ScyllaDB for approximately three years.
What do I think about the stability of the solution?
We've had occasional performance challenges that required resource adjustments or optimizations in our interaction with the platform. However, the support team has responded and promptly resolved these issues.
I rate the stability a nine.
What do I think about the scalability of the solution?
The product is highly scalable.
How are customer service and support?
The technical support team has been excellent. They are responsive and knowledgeable, providing timely assistance.
How was the initial setup?
The initial setup has been straightforward in our experience. The deployment team handles the setup efficiently, typically completing it within a day with minimal involvement required from our side.
What other advice do I have?
The product's efficiency has allowed us to optimize resource usage effectively. Its reliability reduces operational overhead, enabling us to focus resources on other critical tasks.
It is user-friendly for those familiar with databases. A basic understanding of database management is necessary for effective use and deployment.
I rate it a ten.
One of the best NoSQL db
What do you like best about the product?
Almost seamless integration. It has familer Query Language. Support the most of our business requirements. Its used in most of my pet projects. Open source development model.
What do you dislike about the product?
Its fairly a new db need to onboard new people.
What problems is the product solving and how is that benefiting you?
We had a usecase where we needed to move from SQL to a new NO SQL which could scale in future and has open source support. We needed db which can support the high throughput and had the basic 'ibilities' fulfilled. We went with ScyllaDB as it was having all the above features and also has the ealier onboarding.
Rewrite of Cassandra in C++ and uses a special library optimized for I/O operations and offers good documentation
What is our primary use case?
We use it as a non-relational database. We use it to store two things:
- To store audit log data and
- blob data, including images with different sizes, like 200kb.
We use it as an image database as well, such as user profile pictures and product catalog promotional pictures.
What is most valuable?
ScyllaDB is a rewrite of Cassandra in C++ and uses a special library called Seastar, which was developed by ScyllaDB.
Seastar is optimized for I/O operations, which makes it very good compared to Cassandra. Like it's ten times better in terms of performance.
The documentation is good. It integrates easily with our existing data infrastructure.
What needs improvement?
If you don't have the best computing resources, then it's not easy to set up. In such cases, we have to run ScyllaDB in developer mode.
For how long have I used the solution?
I have been using it for five years.
What do I think about the stability of the solution?
I have never faced any problems. As per my use case and our environment, it is stable.
What do I think about the scalability of the solution?
It's pretty good. It offers everything we need at this time. It's a scalable product.
In my organization, all 55 people across six products use ScyllaDB.
How are customer service and support?
We have never contacted customer service and support. It's all working great. So, never needed the support
Which solution did I use previously and why did I switch?
We tried MongoDB. It wasn't scalable at that time, like six or seven years ago. Then we moved to Cassandra and then ScyllaDB.
How was the initial setup?
With best computing resources: If you have good computing resources like CPUs, memory, and especially solid-state drives (SSDs), the installation and configuration are very easy.
Without the best computing resources: If you don't have the best computing resources, then it's not easy to set up. In such cases, we have to run ScyllaDB in developer mode.
What's my experience with pricing, setup cost, and licensing?
It's free. Only support is costly. So the support is an extra cost, which is expensive.
What other advice do I have?
I would recommend to use it. It is easy for a beginner to learn to use ScyllaDB for the first time.
Overall, I would rate it a ten out of ten.
Which deployment model are you using for this solution?
On-premises
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?