ScyllaDB Cloud
ScyllaDB, IncExternal reviews
361 reviews
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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
its very latency db
What do you like best about the product?
It’s well-suited for workloads that require:
Real-time analytics
Time-series data
IoT and telecom-scale ingestion
High availability across multiple data centers
Real-time analytics
Time-series data
IoT and telecom-scale ingestion
High availability across multiple data centers
What do you dislike about the product?
Even though ScyllaDB automates a lot, it’s still a distributed system — and those are not trivial to operate.
You still need to manage replication, repair, backups, failures, and schema design carefully.
Compared to fully managed solutions like DynamoDB or Google Bigtable, there's more to handle unless you're using Scylla Cloud.
You still need to manage replication, repair, backups, failures, and schema design carefully.
Compared to fully managed solutions like DynamoDB or Google Bigtable, there's more to handle unless you're using Scylla Cloud.
What problems is the product solving and how is that benefiting you?
Traditional databases often struggle with high throughput and consistent low-latency at scale.
ScyllaDB’s Solution:
Built in C++ using the Seastar framework (a lockless, shard-per-core architecture).
Handles millions of ops/sec per node with sub-millisecond latencies.
Benefit to You:
Your applications respond faster — which is crucial in real-time systems like ad tech, gaming, IoT, or finance.
ScyllaDB’s Solution:
Built in C++ using the Seastar framework (a lockless, shard-per-core architecture).
Handles millions of ops/sec per node with sub-millisecond latencies.
Benefit to You:
Your applications respond faster — which is crucial in real-time systems like ad tech, gaming, IoT, or finance.
Fast and Scalable NoSQL Database with Modern Features
What do you like best about the product?
It’s really fast and handles a lot of data without slowing down. I like that it’s easy to scale and doesn’t need as much tuning as Cassandra. The global secondary indexes and other modern features are also very helpful. I like the sessions as well, very interactive + gives hands on experience. Customer support also gives timely response. Additionally, it was easy to integrate, my company Samespace uses it, overall its very handy and is frequently used
What do you dislike about the product?
Some features are still a bit limited, and using secondary indexes can slow down writes. Also, the setup and docs can be a little hard to follow if you're new, but university was a great way to get myself started
What problems is the product solving and how is that benefiting you?
At Samespace, we deal with real-time voice, chat, and customer interaction data at scale. ScyllaDB helps us handle this large volume of data with low latency and high throughput, which improves performance and reliability across our services. It also reduces the operational burden compared to traditional databases, making our DevOps workflows smoother.
Informative, and good material
What do you like best about the product?
The descriptions and details that were given for beginners
What do you dislike about the product?
No opinion or dislikes, the session was informative as is the material available
What problems is the product solving and how is that benefiting you?
lack of information of the process
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