ScyllaDB Enterprise
ScyllaDB, IncExternal reviews
316 reviews
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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.
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.
Impressive Performance and Low Latency with ScyllaDB
What do you like best about the product?
What I like most about ScyllaDB is that it simply gets on with it and does it well without having to be spoon-fed along the way. I've loaded it pretty heavily, and it's remained responsive and reliable at every turn. I didn't have to faff around too much to get things operational, which admittedly was a bit of a godsend. The inbuilt monitoring software is also a great idea—actually, it makes sense, and they are helping me solve issues before they are problems.
What do you dislike about the product?
If I had to point out something, I’d say the learning curve in the beginning was a bit steep, especially coming from other databases. Some of the documentation could be clearer or have more real-world examples. Also, certain advanced configurations can get a little tricky if you’re not already familiar with distributed systems. But once I got past that, the overall experience has been solid.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the performance bottlenecks I used to run into with other databases when dealing with large amounts of data and high traffic. It handles reads and writes really fast, even under pressure, which means I don’t have to worry about scaling issues as the user base grows. That saves me a ton of time on optimization and lets me focus more on building features instead of constantly tuning the backend.
ScyllaDB is strong competitor for DynamoDB.
What do you like best about the product?
ScyllaDB is very rich in the feature wise as compare to other DB like DynamoDB, etc
Huge Global existence & ease to integrate with docker support.
Huge Global existence & ease to integrate with docker support.
What do you dislike about the product?
The other feature like OLAP can also be worked and can be treated as OLAP use-cases more efficiently.
What problems is the product solving and how is that benefiting you?
It is a much cheaper go to the other wide column Database for the use-cases. It is a good candidate to reduce the Cost to Company.
A solid database choice for real-time systems
What do you like best about the product?
My best thing about ScyllaDB is the way it performs under heavy load. We've got a live analytics service we're utilizing, and ScyllaDB doesn't even break a sweat at a million hits per minute. The fact that it's C++-based means that it's more system-efficient than some NoSQL databases we've worked with in the past. We also save on hardware since we don't need as many servers to get the same results. Scaling also couldn't be simpler—horizontal scaling with ScyllaDB simply happens with no extra effort.
What do you dislike about the product?
My worst fear was how hard it is to learn. If you don't have knowledge of distributed systems or Cassandra-type databases, it's really intimidating to begin. Some of the advanced features are great, but not necessarily easy to grasp for a new user. And also, the tutorials or guides that do exist are generally based on a lot of pre-existing knowledge, so it's difficult for new users. I think more beginner tutorials or step-by-step guides would get a lot more people started.
What problems is the product solving and how is that benefiting you?
Our biggest challenge was scaling our real-time application without having to constantly think about downtime or system lag. ScyllaDB fixes this by offering a high-performance, horizontally scalable backend that can scale with our requirements. It supports high volumes of reads and writes with very minimal latency, which is precisely what we were looking for. Prior to ScyllaDB, we had slow query issues and nodes that were overloaded, but now both of these issues are largely a thing of the past. The efficiency of running on fewer resources also saves us money on cloud infrastructure, which allows us to put more money into optimizing other areas of our stack.
Good quality solution
What do you like best about the product?
Easy to use and simple as long as you willing to learn it
What do you dislike about the product?
Time it take to learn as learning curve to understand how to use it right
What problems is the product solving and how is that benefiting you?
Simplify solution for database problems
Beyond Vector Databases: In Search of an Author to Complete Today’s Blockchain Identity Narrative
What do you like best about the product?
I like the scalability potential of this product.
What do you dislike about the product?
As of today, this product does not have vector database capabilities.
What problems is the product solving and how is that benefiting you?
I am looking at ScyllaDB to solve a large scale identity implementation
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