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.
Excellent DB for analytics application
What do you like best about the product?
ScyllaDb helped me in creating an analytics application for credit card company. We used scyllaDB for its scalibility and faster access of records. Due to its scalability feature we were able to scale our instance to billions of records.
What do you dislike about the product?
I believe some improvements can be done as third party integration are limited in scyllaDB
What problems is the product solving and how is that benefiting you?
We had used PostgreSQL earlier to store last few credit transactions for business puposes, but as user base grew, we started facing slower response time. We migrated our database to scyllaDB and increased the product efficiency by 43% as scyllaDB is faster and scalable. We also performed some analytics for business user to take some business decisions using the scyllaDB features.
Fast Adapting and High Performance DB
What do you like best about the product?
It is fast adapting and poplur db in industry. Its performance is very good as well as a well fault Tolerance capability
Also it supports built-in data replication for high availability and no single point of failure
What do you dislike about the product?
It is Relatively new in the market : Newer compared to some established databases, which might mean fewer third-party integrations.
What problems is the product solving and how is that benefiting you?
We use it as a KV database and also as our json based config store which stores the capacity and inventory of the product.
ScyllaDB "The ideal solution in the NoSQL space"
What do you like best about the product?
It is easy to implement and use for OLTP and OLAP
What do you dislike about the product?
It is not easy to copy large volumes of data for archiving based on a date ranges within a short period of time
What problems is the product solving and how is that benefiting you?
ScyllaDB has become a cost-effective alternative to SQL databases like Oracle or SQL server and it also runs efficiently with minimal overhead reducing the Total Cost of Ownership (TCO), which is important for me in managing large cluster of systems.
Sylladb: A Symphony of Sound
What do you like best about the product?
Intuitive Interface: Used in my project to quickly identify and analyze syllables in a large corpus of text.
Comprehensive Features: Used in my project to break down words into their constituent syllables, explore syllable patterns, and analyze the phonetic structure of language.
Reliable Support: Used in my project to get prompt assistance when encountering difficulties or needing clarification on specific features.
What do you dislike about the product?
Learning Curve: While the basics are straightforward, mastering all of Sylladb's advanced features may require a slight learning curve. Despite the learning curve, the app's intuitive interface and clear documentation made it relatively easy to adapt to.
Limited Customization: While the app offers a solid foundation, more customization options could enhance the user experience for those with specific preferences. While customization options are limited, the app's core features were sufficient for my project's needs.
What problems is the product solving and how is that benefiting you?
By leveraging ScyllaDB's capabilities, my payments gateway project has achieved
Improved transaction speed
Enhanced scalability
Increased reliability
Better fraud detection
Real-time reporting
very good sessions
What do you like best about the product?
data security and cloud networking of big data analytics and AIML
What do you dislike about the product?
none All sessions very good and informative technical sessions
What problems is the product solving and how is that benefiting you?
good and easy to use for all users and beginners
High-Performance NoSQL Database
What do you like best about the product?
I highly recommend giving ScyllaDB a try. ScyllaDB is a powerful, open-source database that serves as a drop-in replacement for Apache Cassandra and is designed to make the most of modern hardware.
What I like best about ScyllaDB is its blazing fast performance and efficient use of modern hardware. It takes full advantage of multi-core CPUs, RAM, and SSDs, delivering much better performance compared to similar NoSQL databases like Cassandra. The automatic tuning and self-optimization features also stand out, as they reduce the need for constant manual configurations, making it easier to maintain peak performance without much effort. Additionally, ScyllaDB's ability to scale easily while maintaining low latency, even with a massive data load, is another key feature I appreciate.
What do you dislike about the product?
While ScyllaDB is Cassandra-compatible, Cassandra has a more mature and extensive ecosystem with more third-party tools and integrations.
What problems is the product solving and how is that benefiting you?
High Throughput with Low Latency
Scalability without Downtime
ScyllaDB’s auto-tuning and self-optimizing features reduce the operational complexity
