ScyllaDB Enterprise
ScyllaDB, IncExternal reviews
316 reviews
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A Consultant’s Perspective on Usability, Features, and Integration
What do you like best about the product?
As a software consultant, I find ScyllaDB to be a high-performance, distributed NoSQL database that excels in scalability and low-latency operations. Its compatibility with Cassandra makes migration and integration straightforward, and many users report that it is easier to administer than Cassandra, with less tuning required . While initial setup can be more complex than some relational databases, ScyllaDB’s architecture allows for efficient use of modern hardware and offers robust features such as built-in caching, encryption, and monitoring tools . Integration with existing systems is generally smooth, and the database is frequently used in production by major enterprises for data-intensive workloads . Customer support is strong, especially for enterprise clients, and the active community and regular updates ensure ongoing improvements. However, documentation and some advanced features could be more comprehensive, and secondary indexes may impact write performance . Overall, ScyllaDB is a powerful choice for organizations needing speed, scalability, and reliable support.
What do you dislike about the product?
While ScyllaDB offers impressive performance and scalability, there are several areas where it falls short for my use cases. The initial setup and configuration can be quite complex compared to more traditional databases like PostgreSQL, often requiring careful resource planning and tuning. Debugging and analyzing issues can also be challenging due to the system’s complexity, and maintenance efforts tend to be higher than expected. I’ve found the documentation lacking in some areas, which makes troubleshooting and advanced configuration more difficult. Additionally, ScyllaDB’s support for transactions is limited, and features like secondary indexes and multi-key transactions are either not fully supported or have notable limitations. The community around ScyllaDB is relatively small, which means finding help or shared experiences outside of official channels can be difficult. These factors combined can make ScyllaDB a less approachable choice for teams without deep NoSQL expertise or those looking for a more mature ecosystem.
What problems is the product solving and how is that benefiting you?
At the moment we are looking for options to be our Database for a new APP that we will launch this year.
ScyllaDB Experience Review: A Developer’s Perspective
What do you like best about the product?
1. Blazing Fast Performance
Latency: Ultra-low latency even at high throughput.
Throughput: Handles millions of operations per second per node.
Example: Users report up to 10x better performance than Cassandra in the same hardware.
Latency: Ultra-low latency even at high throughput.
Throughput: Handles millions of operations per second per node.
Example: Users report up to 10x better performance than Cassandra in the same hardware.
What do you dislike about the product?
While it uses CQL, it’s still a NoSQL DB.
Not ideal for relational joins, ad-hoc analytics, or OLAP workloads.
2. Schema Evolution is Painful
Altering schemas, adding indexes or materialized views can impact performance or require careful planning.
3. Learning Curve
New developers may struggle with:
Data modeling that fits Scylla's partition/key-based logic.
Not ideal for relational joins, ad-hoc analytics, or OLAP workloads.
2. Schema Evolution is Painful
Altering schemas, adding indexes or materialized views can impact performance or require careful planning.
3. Learning Curve
New developers may struggle with:
Data modeling that fits Scylla's partition/key-based logic.
What problems is the product solving and how is that benefiting you?
Time-Series Data Storage
Use Case: IoT sensors, monitoring systems, geolocation tracking
Why ScyllaDB:
Efficient partitioning and TTL support
Optimal for append-only, timestamped data
Compact storage with compression
Use Case: IoT sensors, monitoring systems, geolocation tracking
Why ScyllaDB:
Efficient partitioning and TTL support
Optimal for append-only, timestamped data
Compact storage with compression
Exceptional Performance and Best Availability
What do you like best about the product?
The best thing about ScyllaDB is it's internal indexing strategy that helps in great performance while retrieving millions of logs data.The inbuilt metrics monitoring software (grafana) is also a really amazing and we does not need to separately setup the monitoring and metrics dashboard. It's well suited for logs, real-time, and time-series data analytics.
What do you dislike about the product?
Sometimes the documentation requires more efforts to understand it's internals. I also felt that learning curve in scylladb is different as compared to other databases like Cassandra. But once, we get enough practice, it's just super easy.
What problems is the product solving and how is that benefiting you?
We have to analyse a lot of logs data, and retrieving and storing those data in scylladb was the best move we did. It just retrieves the data, in miliseconds due to it's performance (especially it's indexing strategy). It's caching mechanism is also helping in making our application faster. And we really upgraded our customer UX by loading more and more data in no time and showing great analytics.
Best NoSql database for latency
What do you like best about the product?
I like it's performance and very low latency across the globe. It handles massive datasets seamlessly, ensuring swift and reliable data access. It's best for handling time-series data, and when we need real-time analytics.
What do you dislike about the product?
It's a bit different from other NoSQL DBs. And it's documentation is also bit difficult to find ready-made examples for our use case unlike we can find solutions in StackOverflow and Reddit for other databases.
What problems is the product solving and how is that benefiting you?
It's low-latency and amazing performance allowing us to manage a lot of time-series data in real-time without delays. It's caching mechanism is also helping us a lot to make the performance better.
Best Database for scalable and reliable infrastructure
What do you like best about the product?
It’s best for workloads that need High availability across multiple data centers and horizontal scaling. The best thing about ScyllaDB is its low latency nature along with the scaling and high availability. I also like the sessions and workshops organized by ScyllaDB, it helps to get started with the database and integrate it with the existing system.
What do you dislike about the product?
The documentations can be improved as it's hard to follow if you are new to this space Though the sessions, workshops and ScyllaDB university live is best way to get started.
What problems is the product solving and how is that benefiting you?
We were facing issues in scaling our system. When we started using ScyllaDB, things were going much better. The speed is great, and our system is running more smoothly now. It has made our system more stable and reliable, even if there’s a lot of traffic coming into our system.
ScyllaDB Delivers Speed and Scale for Our Logging Service
What do you like best about the product?
For our log data aggregation and analysis platform, ScyllaDB offers unparalleled performance and scalability. Real-time processing of millions of log events per second has relied heavily on its capacity to manage high-throughput writes with incredibly low latency. We also value the low operational overhead—compared to other NoSQL databases, ScyllaDB uses less infrastructure because of its auto-tuning features and effective hardware utilization. In particular, the native support for time-based TTLs is useful for automatically controlling log retention. It just operates on a larger scale.
What do you dislike about the product?
ScyllaDB has a learning curve for teams used to Apache Cassandra or more traditional relational databases even if it boasts better performance. For some complex tuning parameters and architectural ideas, such log analytics, optimal performance for particular workloads depends on a better knowledge. Moreover, even if the documentation is usually good, some edge cases—especially those related to large-scale cluster management and repair activities—would benefit from more practical examples. The community and support network, however, are flexible which helps to close the distance.
What problems is the product solving and how is that benefiting you?
ScyllaDB addresses our fundamental need for real-time ingestion, storage, and querying of enormous amounts of log data. With its high throughput and low-latency performance, ScyllaDB easily addresses the write-heavy nature and time-series structure of logs, which traditional databases battled. Its support of wide rows and TTLs helps to effectively retain logs and query without requiring intricate workarounds. All at scale and with a smaller operational footprint, this has allowed us to provide our clients real-time insights, fast search capabilities, and consistent alerting.
Blazing fast performance with minimal latency — scaled like a dream in production.
What do you like best about the product?
High performance with consistently low latency,
Efficient resource utilization and throughput,
Seamless scalability across workloads,
Cassandra-compatible with improved operational simplicity.
Efficient resource utilization and throughput,
Seamless scalability across workloads,
Cassandra-compatible with improved operational simplicity.
What do you dislike about the product?
ScyllaDB has a learning curve for teams new to NoSQL.
Advanced configurations need deeper documentation support.
Monitoring and tuning require some manual effort.
Advanced configurations need deeper documentation support.
Monitoring and tuning require some manual effort.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us handle massive volumes of real-time data with low latency.
It resolves bottlenecks we faced with traditional databases under high traffic.
This boosts our system performance, scalability, and user experience.
It resolves bottlenecks we faced with traditional databases under high traffic.
This boosts our system performance, scalability, and user experience.
reliability and consistency of Scylla DB
What do you like best about the product?
The thing i like about Scylla DB is its high availability
What do you dislike about the product?
The one thing which i'm not satisfied is monitoring as it directs to grafanna
What problems is the product solving and how is that benefiting you?
The value will be stored in tables.
Best ever High Throughput & Low Latency DB
What do you like best about the product?
ScyllaDB delivers exceptionally high throughput and ultra-low latency, making it ideal for handling heavy, data-intensive workloads. ScyllaDB processes millions of operations per second with predictable performance, even under peak load conditions. As a result, ScyllaDB is particularly well-suited for use cases such as real-time analytics, time-series data processing, and high-velocity transaction systems, where traditional databases may struggle to maintain performance at scale.
What do you dislike about the product?
Implementing an auto-scaling feature is essential to enable both horizontal and vertical scaling for improved performance and resource optimization.
What problems is the product solving and how is that benefiting you?
Main problem was with high throughput and low latency which ScyllaDB integration helped.
good
What do you like best about the product?
high availability of the databases and 0 latency's
What do you dislike about the product?
Monitoring of the database is we are are using Grafana is not good in use
And connection with gui
And connection with gui
What problems is the product solving and how is that benefiting you?
availability of database are good
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