ScyllaDB Enterprise
ScyllaDB, Inc | 2023.1.9Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
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One of the best NoSQL Database
What do you like best about the product?
ScyllaDB is extremely fast when it comes to the processing of data. It works without any latency with High-intensity applications. When it comes to technology, the whole codebase is open source. It means that you can also contribute to the project. The multi-core servers, along with the database's compatibility with Cassandra and DynamoDB, are beneficial. Also, there is the ScyllaDB university for those who want to learn about NoSQL from scratch and get a certification. ScyllaDB is scalable with always on availability with high throughputs.
What do you dislike about the product?
I have used ScyllaDB and have taken ScyllaDB's courses. I haven't found any problem so far. So, nothing to dislike from my side. Some more programs related to the DevRel part can be good. Also, the documentation is well documented, but a "write for us" program will be amazing.
What problems is the product solving and how is that benefiting you?
There are several problems that I was facing before using ScyllaDB. I was having trouble with data processing and latency. Thanks to ScyllaDB for solving that. Plus, I had to manage my database manually, but with ScyllaDB, I got to experience a fully managed service.
Recommendations to others considering the product:
I highly recommend others to use ScyllaDB to get a fully managed, open-source, and scalable NoSQL database experience.
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Scylla is the real-time big data database that is API-compatible with Apache and manny more
What do you like best about the product?
The monstrously-fast NoSQL database, having compatibility with real-time big data database that is API-compatible with Apache and many more inetgrations.
What do you dislike about the product?
Documenataion is a bit challenging part , apart form this
What problems is the product solving and how is that benefiting you?
materialized views, global and local secondary indexes, workload prioritization, and a DynamoDB-compatible API.
ScyllaDB for natural language processing — glad we moved on from Cassandra!
What do you like best about the product?
We previously used Cassandra to back a natural language processing system, storing news articles and metadata for an IR frontend. We evaluated migrating to Scylla and found it an absolute joy to work with. Creating the same schema was easy, and loading the snapshot from Cassandra to Scylla made it really easy to move the data over without having to write one-off custom scripts.
What do you dislike about the product?
Only thing I could think of is to clean up the documentation on migration a little bit.
What problems is the product solving and how is that benefiting you?
We wanted to obtain better read performance as well as reliability, and wanted to future-proof our solution. I think Scylla has enabled us to be more productive in this way.
A good NoSql DB
What do you like best about the product?
The scalability and the speed of the ScyllaDB is fantastic
What do you dislike about the product?
Sometimes the documentation is confusing.
What problems is the product solving and how is that benefiting you?
I have to use ScyllaDB to manage a large pool of JSON documents
Recommendations to others considering the product:
This product is one of the best NoSQL databases that I know
Very nice
What do you like best about the product?
the fact that it is open-source distributed NoSQL wide-column data store
What do you dislike about the product?
none at the moment, will update when I have some
What problems is the product solving and how is that benefiting you?
NA
Great migration experience
What do you like best about the product?
My organization upgraded from Cassandra to Scylla last year. We were forced to make the migration earlier than expected due to some hardware failures. Once those issues were resolved, the performance advantages really stood out.
What do you dislike about the product?
I don't have any complaints about Scylla that wouldn't be common to all NoSQL solutions. When compared to its peers, Scylla is easy to use and offers many advantages.
What problems is the product solving and how is that benefiting you?
Costs - the increased efficiency allows us to use far fewer resources than were required with Cassandra. This has been the primary benefit of migrating to Scylla.
One of the best performance in nosql databases
What do you like best about the product?
ScyllaDB offers excellent read and write performance and takes perfect advantage of the new multicore and multiprocessor architectures that we can find in modern CPUs. In addition, it provides features that are consistent with new cloud-based architectures, such as high availability and high scalability in multicluster environments.
What do you dislike about the product?
As points for improvement, we could highlight that the documentation should be expanded with more specific use cases in order to make the most of the possibilities of the architecture it offers. In addition, interoperability and compatibility with other databases such as Cassandra could be improved.
What problems is the product solving and how is that benefiting you?
ScyllaDB is intended for those organizations that have problems with the performance of the database infrastructure they are using. The main advantages of using ScyllaDB are high availability, high scalability, and low latency, allowing queries to be resolved in times of microseconds and having superior performance to other NoSQL databases.
Recommendations to others considering the product:
I recommend using ScyllaDB for users or organizations looking for a flexible, fast, and optimized database for concurrent queries in multi-cloud and multicluster environments.
ScyllaDB a great choice for stateful processing
What do you like best about the product?
We at Expedia Group replaced Redis with ScyllaDB for stateful processing of data pipeline, and we reduced our cost by 80% for state store. And latency is significantly less and performance is very compatible with any in-memory databases.
What do you dislike about the product?
ScyllaDB list, map data type is only suitable for small size data. Otherwise, there is a performance hit.
What problems is the product solving and how is that benefiting you?
Using ScyllaDB, we are able to keep stateful processing in our data pipeline to update the data model in real-time. Earlier, we were using Redis where our cost was enormous. Using ScyllaDB we reduced our cost by 80%.
ScyllaDB - The low latency, high throughput, highly scalable NOSQL database
What do you like best about the product?
Cassandra compatibility, lower node count, highly available, highly scalable horizontally and vertically, syntax similar to CQL, low latency, high read throughput, and write throughput, no JVM.
What do you dislike about the product?
Documentation is very minimal. Connectors are not available for all databases for easy migration to Scylla. Lack of good ecosystems and features like Cassandra.
What problems is the product solving and how is that benefiting you?
We wanted to have a key-value data store, but we had a huge data, so we chose ScyllaDB. Also, we had a low latency reads requirement. We benefited from all the advantages of Scylla like fewer nodes, high read and. write throughputs, high availability, and scalability of Scylla.
Recommendations to others considering the product:
No harm in trying as replacement to Cassandra.
Worry Less and Trust Scylla
What do you like best about the product?
Scylla has been with our engineering team as a native data store for our production environment. With an organization that's growing and rapidly building with microservices, the need for consistent and reliable data operations simultaneously on the same data by all those microservices increases a lot. But thanks to Scylla that enables us to meet the customer expectations with such low latency provisioning. Not only that but also we are able to provide high-standard experiences that are personalized for the specific target of users rapidly, as Scylla allows us to operate on profiles with the least possible latency.
What do you dislike about the product?
Well, we would like to see more production use cases with best practices implemented for those belonging to different industries.
Moreover, the enterprise plan can be more flexible so that the organizations will easily manage the finances in case they wanna switch and try.
Last but not the least, Scylla University is a great initiative for training but we would love to see more professional standard curriculums for the corporate employees to train with.
Moreover, the enterprise plan can be more flexible so that the organizations will easily manage the finances in case they wanna switch and try.
Last but not the least, Scylla University is a great initiative for training but we would love to see more professional standard curriculums for the corporate employees to train with.
What problems is the product solving and how is that benefiting you?
ScyllaDB has been robust and fast for our use cases and we even trust it with our production loads. The most notable thing is its low-latency structure which is very true while you're running the loads which save time and resources and indeed help cut off the cost. Another great thing is that it's almost likely synonymous with Cassandra and the Query Language is not so different from the standard.
Recommendations to others considering the product:
I would suggest that one must know the use cases for which they want to use ScyllaDB before taking the call. Scylla is absolutely awesome in providing low-latency data operations and hence is a must recommend DB.
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