ScyllaDB Enterprise
ScyllaDB, Inc | 2023.1.8Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
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Not Just Yet Another Database
What do you like best about the product?
Now a days there are hundreds of database products in the market with just doing one of the use cases good enough. People say you can only pick two out of three in the following in a product. - faster,better and cheaper .
However there is clear exception to this and Scylla ticks all these three boxes.
However there is clear exception to this and Scylla ticks all these three boxes.
What do you dislike about the product?
Needs some additional work in the backup/recovery space. However since its mostly cloud native / born in cloud like archictectures, I would not say this is major issue. However I would like to have a better point-in-time and partial database recovery/transfer features.
What problems is the product solving and how is that benefiting you?
Managing large amount of constantly changing high volume data has never been easy-- Also when latency is part of the equeation, this makes this problem very complex.
Scylla is handling the peta scale documents quite well with high speed injestion as large user base concurrency.
Scylla is handling the peta scale documents quite well with high speed injestion as large user base concurrency.
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I was evaluating ScyllaDB as a substitution for the RedisDB on the highly sharded cluster
What do you like best about the product?
That Scylla provides low latency because of the nature how it organises the shards and cores
What do you dislike about the product?
ScyllaDB seems has quite good st of features
What problems is the product solving and how is that benefiting you?
Most benefit from my perspective is the 1 digit latency
My experience about scylla db university
What do you like best about the product?
Scylla db's ability to deliver high performance and low-latency data access, which is crucial for demanding applications like real-time analytics and high-throughput workloads. Its architecture, based on Apache Cassandra, provides scalability and fault tolerance, making it a robust choice for distributed and large-scale data environments.
What do you dislike about the product?
While ScyllaDB has a growing community, it might not be as extensive as some other database systems, potentially impacting the availability of community-driven resources.
ScyllaDB's focus on high-throughput, low-latency scenarios means it may not be the best choice for use cases that heavily rely on complex queries or transactional consistency.
ScyllaDB's focus on high-throughput, low-latency scenarios means it may not be the best choice for use cases that heavily rely on complex queries or transactional consistency.
What problems is the product solving and how is that benefiting you?
1. High Throughput and Low Latency: ScyllaDB is designed to handle large amounts of data with minimal latency, making it well-suited for applications requiring real-time data access and high-throughput workloads.
2. Scalability: Its architecture enables seamless horizontal scaling, allowing users to easily expand their database infrastructure as data volumes grow. This scalability is crucial for handling increasing data demands.
3. Fault Tolerance: ScyllaDB, built on the principles of Apache Cassandra, provides robust fault tolerance. This means it can maintain functionality even in the face of hardware failures or network issues, ensuring data availability.
4. NoSQL Flexibility: ScyllaDB supports the NoSQL data model, allowing for flexible and dynamic schema designs.
2. Scalability: Its architecture enables seamless horizontal scaling, allowing users to easily expand their database infrastructure as data volumes grow. This scalability is crucial for handling increasing data demands.
3. Fault Tolerance: ScyllaDB, built on the principles of Apache Cassandra, provides robust fault tolerance. This means it can maintain functionality even in the face of hardware failures or network issues, ensuring data availability.
4. NoSQL Flexibility: ScyllaDB supports the NoSQL data model, allowing for flexible and dynamic schema designs.
good experiance
What do you like best about the product?
No sql east to create db, easy to access
What do you dislike about the product?
nothing to dislike iam new to scyllaDB ,,
What problems is the product solving and how is that benefiting you?
Large Database creation issue
Scylladb use cases for production env
What do you like best about the product?
Scylla does well with highs. through put applications with schemas and managing like adding/remove nodes are very easy. Also easy for migration to dif DC and clouds. Implementation alse can be automated with ansible and terraform. scylla is giving very good sutomer support. We can integrate with elasticseaerch easily.
What do you dislike about the product?
Read latency is the main problem in scylla when compaction is running.
What problems is the product solving and how is that benefiting you?
We used to have a lot of timeouts, latency, and failures when we were in Cassadra, and Scylla has solved all of these issues in a very efficient manner.
Scalable and Cost effective DB i have work with
What do you like best about the product?
Combination of Inmemory and presistent store with cost effectiveness to enterprise.
What do you dislike about the product?
There is nothing much to dislike about scylladb, But if we want to point it out limiting query is something i want to change.
What problems is the product solving and how is that benefiting you?
We are using Scylladb from last 6 months and It helped us with lots for feature like we are loving performance of database for high load and performance even at larger dataset.
Always something new to learn
What do you like best about the product?
different sessions and how different companies can share their use case with ScyllaDB
What do you dislike about the product?
Nothing at the moment will keep an eye for it !
What problems is the product solving and how is that benefiting you?
We are trying to find a database that is best for our use cases.
A distributed, reliable and scalable database
What do you like best about the product?
1. Fault tolerance architecture and builtin data replication providing reliability.
2. High throughput and low latency(very useful for realtime analytics)
3. Backward compatible with existing Apache Cassandra databases.
2. High throughput and low latency(very useful for realtime analytics)
3. Backward compatible with existing Apache Cassandra databases.
What do you dislike about the product?
1. Only supports Cassandra Query language and not SQL,hence making it incompatible with systems which work with SQL
2. The community size is still small, hence support for doubts is less.
2. The community size is still small, hence support for doubts is less.
What problems is the product solving and how is that benefiting you?
Useful for realtime analytics due to high throughput and low latency. I have a system which generates 200+ events per seconds per user, ScyllaDB is able to manage this seamlessly providing realtime insights.
Fast, highly scalable
What do you like best about the product?
Massively scalable and performant. Scylla's impressive performance and scalability make it a great choice for organizations seeking high-throughput and low-latency solutions.
What do you dislike about the product?
Hard to configure for novice users.
Hard to pronounce.
Hard to pronounce.
What problems is the product solving and how is that benefiting you?
High Throughput and Low Latency
Solid product with a good team behind it
What do you like best about the product?
Linear scalability, hardware aware design and amount of tooling around it to integrate applications
What do you dislike about the product?
Expensive to use ScyllaDB cloud on new projects. OpenSource is hard to run and setup so a lot of early projects jump to options like DynamoDB instead
What problems is the product solving and how is that benefiting you?
ScyllaDB is a low latency persistence layer for real time analytics pipelines. We use this in my company in the gaming industry to generate metrics and insights over players telemetry.
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