ScyllaDB Cloud
ScyllaDB, IncExternal reviews
400 reviews
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External reviews are not included in the AWS star rating for the product.
Lightning-Fast and Reliable, Needs Better Indexing
What do you like best about the product?
I find ScyllaDB to be very fast and robust, which is crucial for my analytics and transactions tasks. I really appreciate the speed it offers, and the faster write capabilities make it stand out for me.
What do you dislike about the product?
Indexing
What problems is the product solving and how is that benefiting you?
ScyllaDB provides me speed and robustness for analytics and transactions.
Scalable and Efficient with Compatibility Plus
What do you like best about the product?
I like ScyllaDB's impressive performance and efficiency, delivering very low latency even under heavy workloads. Its excellent use of available hardware allows us to handle large datasets with fewer nodes, which helps in reducing operational costs. The seamless compatibility with Apache Cassandra is also a big plus, as it makes adoption easier while we still benefit from significant performance improvements and scalability. I value how it allows us to keep our APIs responsive and services stable during traffic spikes.
What do you dislike about the product?
One area that could be improved in ScyllaDB is the operational learning curve. While it performs extremely well once properly configured, tuning and managing clusters can require solid distributed systems knowledge. Some ecosystem tools and documentation are also less mature compared to Apache Cassandra, so troubleshooting or advanced setups may take additional effort.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB as a scalable database for high throughput and low latency needs. It handles large data volumes without bottlenecks, maintains low latency under load, and efficiently manages datasets. Its Cassandra compatibility eases integration while providing predictable performance and better hardware utilization.
Effortless Scaling with Blazing Query Speed
What do you like best about the product?
I appreciate that ScyllaDB allows us to easily scale our database to monstrous levels. I like the fast querying feature, making our reads for data engineering workloads much faster. The initial setup of ScyllaDB was super easy, which was a significant plus.
What do you dislike about the product?
Nothing comes to mind
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for monstrous scale and fast querying, enabling faster reads for DE workloads and easier database scaling.
Excellent NoSQL Solution with High Availability and Strong Performance
What do you like best about the product?
Excellent no sql solution with High availability, user personalization and performance driven DB solutions out there
What do you dislike about the product?
Little complex to start with, and takes a while to get used to it
What problems is the product solving and how is that benefiting you?
DaaS, cost effectiveness and best deployment with higher throughput
High Throughput That Delivers
What do you like best about the product?
High throughput and reduced latency withh redundancy
What do you dislike about the product?
Nothing in particular but it has steep learning curve
What problems is the product solving and how is that benefiting you?
Better Performance: Faster, more responsive applications.
Cost Savings: Lower infrastructure spend due to higher efficiency.
Simplified Operations: Less time spent on database tuning and maintenance.
Future-Proofing: Easily scales as data volume grows.
Cost Savings: Lower infrastructure spend due to higher efficiency.
Simplified Operations: Less time spent on database tuning and maintenance.
Future-Proofing: Easily scales as data volume grows.
High-Performance with Learning Curve Challenges
What do you like best about the product?
I use ScyllaDB for handling large-scale data in high-performance applications. I like its high performance and low latency when handling large amounts of data. It is designed to efficiently use modern hardware, making data processing very fast. Its compatibility with Apache Cassandra is great since it makes it easier for developers to migrate existing systems. I find the shard-per-core architecture, which efficiently utilizes modern multi-core CPUs, to improve performance and resource usage. Its compatibility with Apache Cassandra supports the same CQL (Cassandra Query Language), making migration easier without needing major code changes. The ability to deliver very low latency and high throughput is ideal for real-time applications that process large volumes of data.
What do you dislike about the product?
One area that could be improved in ScyllaDB is its learning curve for beginners, especially when setting up and managing clusters. The configuration and performance tuning can be complex for new users. Additionally, better documentation and simpler setup tools would make it easier for developers to get started quickly.
What problems is the product solving and how is that benefiting you?
ScyllaDB handles large-scale data efficiently, providing high speed and low latency. It supports real-time applications with key-value data storage and retrieval, making scalable, fast, and reliable backend systems possible.
High performance and scalable NoSQL database.
What do you like best about the product?
I loved the performance and scalability while ingesting or retrieving high amount of data.
What do you dislike about the product?
I am still learning about it so nothing so serious issues I found till now though I would love to see more documentations around configurations and operational management.
What problems is the product solving and how is that benefiting you?
Our data is evolving, scylladb solving performance and scalability issues. it has drastically improved the query latency when we deal with nested/raw data. it best fit for our near real-time data processing framework.
Real-Time Data Processing at Lightning Speed
What do you like best about the product?
I like ScyllaDB for its speed and adaptability. It helps us generate real-time reports and identify and resolve data-related issues with no outage. I appreciate how ScyllaDB can handle data from multiple sources like mobile devices and various streams, making real-time processing really fast and suitable for all kinds of data. I also like its ability to adopt various data sources.
What do you dislike about the product?
AI agent integration
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for real-time data processing, helping to generate reports and resolve issues during outages efficiently.
Cost-Efficient with Standout Performance
What do you like best about the product?
I like using ScyllaDB because of its standout performance and low maintenance requirements. It helps me handle a large number of events and logs efficiently without breaking the bank, providing low latency and high throughput which are very valuable.
What do you dislike about the product?
I find the documentation and out of box integration with ScyllaDB lacking. Troubleshooting can be hard, and the initial setup was difficult because it was new to us.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to handle a large number of events and logs without breaking the bank, enabling low latency and high throughput, and its performance is standout while being low maintenance, which reduces costs.
Low Latency and Seamless Data Integration
What do you like best about the product?
I use ScyllaDB as a database store for internal management services like ticketing management. One thing I like most about ScyllaDB is the low latency. I had tried Redis; it was low but expensive, so I had to switch. Then I saw the Last Monster Summit and decided to try ScyllaDB, and till now, I have no regrets. Users see updates on the leaderboard instantly instead of waiting 400ms with the database. This low latency was the main driver for switching from Postgres and Redis to ScyllaDB. Initially, the setup was good.
What do you dislike about the product?
One thing I felt that could be improved is a bit on documentation and some examples for already setup systems would be appreciated.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for high data throughput, preventing data loss. It offers low latency, making leaderboards update instantly instead of waiting for 400ms.
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