One of the greatest product
What do you like best about the product?
Open source application, structured and semi structured data can use.Auto tuning capabilities with high performance.
What do you dislike about the product?
Not suggested DB for analytics.pagination issue
What problems is the product solving and how is that benefiting you?
Semi structured data can be used and great performance
Good nosql DB
What do you like best about the product?
Scalability, perforamnce and easy to adopt.
What do you dislike about the product?
AI support need to be improved. i would like to learn more about vector DB features.
What problems is the product solving and how is that benefiting you?
High scalability problem solved.
Cheap and blazing fast
What do you like best about the product?
Documentation and support from Scylla team
What do you dislike about the product?
Couldn’t find one as far now. Other than easy integration
What problems is the product solving and how is that benefiting you?
Low latency applications where replacing dynamodb
Scylla DB is a more consistent and scalable product.
What do you like best about the product?
Easily scalable based on the requirements and it is more consistent when compared to other products.
What do you dislike about the product?
As of now everything is fine with ScyllaDB
What problems is the product solving and how is that benefiting you?
Scylla DB resolves the latency issues especially on high loads.
ScyllaDB
What do you like best about the product?
low latency and high throughput, Cassandra-compatible, automatically shards
What do you dislike about the product?
complex learning curve, Lightweight Transaction Limitations
What problems is the product solving and how is that benefiting you?
handling real-time workloads
Impression of ScyllaDB
What do you like best about the product?
low cost and maintenance, high performance and low latency
What do you dislike about the product?
not very good explaination for the design architecture that is eay to understand.
What problems is the product solving and how is that benefiting you?
Cassandra has limitations and DynamoDB is not portable.
Reliable data management with great reliability and performance
What is our primary use case?
We dump a lot of our data, such as every entry created with respect to when a user rides a scooter, every record gets updated to ScyllaDB. It is used as a single source of truth and it manages massive data.
We support various business use cases, including mobility, where data about driver allocations get updated. We currently have twenty clusters and more than one hundred nodes.
How has it helped my organization?
The performance and scalability are good, and we hardly see any major issues with ScyllaDB. Updates are reliable and help the organization handle large datasets effectively.
What is most valuable?
To be honest, not really. We were sold on the pitch, offering better compaction and ROI, but we did not experience these benefits.
What needs improvement?
From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing and support systems could be improved due to the time it takes to get answers. There's also an issue with compatibility when attempting to switch back from the enterprise to the community version.
For how long have I used the solution?
I would say probably five years by now.
What do I think about the stability of the solution?
The performance and stability are fine. We hardly see any major issues, and from a reliability standpoint, it's all good.
What do I think about the scalability of the solution?
Due to organic growth, we end up upgrading the cluster and adding more nodes. In terms of reliability, it's all good, but specific benefits from scalability were not highlighted.
How are customer service and support?
The technical support and customer service are around a five or six out of ten. Improvements can be made in ticketing and response times.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
We used to work with Cassandra. During our initial phases, we found ScyllaDB promising due to its implementation language and maintenance, which led us to adopt it over Cassandra.
How was the initial setup?
Migrating to the enterprise version from the community version is straightforward and supported, but moving back to the community version is complex due to compatibility issues.
What was our ROI?
To be frank, not really. The open-source version sufficed our use case without requiring the costly enterprise version.
What's my experience with pricing, setup cost, and licensing?
The enterprise version comes with a cost of about $300,000 per year, however, we did not experience the promised compaction benefits.
Which other solutions did I evaluate?
We evaluated Cassandra during initial proof of concepts.
What other advice do I have?
I would suggest using ScyllaDB wisely and adhering to best practices, such as regular cleanup since many engineers tend to expand clusters instead of cleaning up data. I would rate ScyllaDB as eight out of ten.
ScyllaDB - Very useful for use-cases which requires low latency and high performance and scalability
What do you like best about the product?
We are using ScyllaDB Cloud on GCP. Its very usefull in large volume datasets handling. ScyllaDB cloud delivers superior performance, lower latencies, and resilience.
It is very usefull in high read write operations, where very low latency is expected.
Migration to ScyllaDB from existing NoSQL DB was very easy.
Spring Boot based integration was easy to implement.
What do you dislike about the product?
Subscription fee is bit on higher side, it can be made simpler. Pay as you go model will help customers.
What problems is the product solving and how is that benefiting you?
We are using to build a dataset for post trade operations and data quality management.
ScyllaDB - Next Gen Solution, ready to disrupt the market
What do you like best about the product?
1. High Performance
2. Compatibility with Cassandra
3. Low Latency and Scalability
4. Efficient Use of Hardware
5. Automatic Sharding and Load Balancing
6. Self-Tuning and Self-Optimizing
7. High Availability and Fault Tolerance
8. Rich Ecosystem and Tools
9. Cheap
What do you dislike about the product?
1. Complexity in Setup and Configuration
2. Resource-Intensive
3. Limited Ecosystem Compared to More Established Databases
4. Compatibility with Cassandra Is Not Perfect
What problems is the product solving and how is that benefiting you?
using as an alternative of aws
Understanding ScyllaDB's Sharding and Data Distribution Mechanisms
What do you like best about the product?
I admire ScyllaDB's low latency performance, efficient use of resources through C++ architecture, smooth scalability. Also, Cassandra's API compatibility enables high throughput for real-time data processing application for large dataset.
What do you dislike about the product?
ScyllaDB is characterized by limited support for complex queries and secondary indexes, which hinder's performance in certain use cases that require more sophisticated querying capabilities beyond basic workloads.
What problems is the product solving and how is that benefiting you?
I appreciate ScyllaDB's solutions to high-performance, scalable NoSQL challenges. It addresses limitations in traditional databases, enabling efficient handling of large datasets & real-time analytics.
