ScyllaDB Enterprise
ScyllaDB, IncExternal reviews
430 reviews
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Best Database for large scale pharmaceutical data analysis
What do you like best about the product?
It is Helping us run real-time analysis without majorly effecting our performance. Easy to grow when data and users increase.
What do you dislike about the product?
Nothing to dislike about scylladb, but cloud functions/triggers could be a good enhancement.
What problems is the product solving and how is that benefiting you?
- We use it for storing and studying health and pharma data.
- Helps us track product performance and improve efficiency.
- It Making our data processing and analysis faster and reliable.
- Helps us track product performance and improve efficiency.
- It Making our data processing and analysis faster and reliable.
Fast and reliable NoSQL database for large data at scale
What do you like best about the product?
We generate millions of data points and large 3D images every day. ScyllaDB helps us store all of this without compromising the performance. We are able to retrieve data, even when the volume is very high. It works well for both small queries and big workloads, which makes it very useful for our product.
What do you dislike about the product?
Nothing to dislike about Scylladb, just exceptional performance and +1 to the community and customer support.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us handle millions of data points and large 3D images, storing and retrieving them fast. This makes our system more reliable and keeps performance smooth even at scale.
Best NoSQL Database For Agriculture Data Analytics
What do you like best about the product?
- Very fast with low latency
- Can handle large sets of farm and crop data
- Easy to scale when more data is added
- Can handle large sets of farm and crop data
- Easy to scale when more data is added
What do you dislike about the product?
Nothing to dislike about Scylladb but for New users, it may take time to learn it.
What problems is the product solving and how is that benefiting you?
- Stores and processes agriculture data smoothly
- Makes real-time analysis quick and simple
- Helps track crop and field data without delays
- Makes real-time analysis quick and simple
- Helps track crop and field data without delays
Amazing Latency Oriented NoSQL Database
What do you like best about the product?
The best thing about ScyllaDB is the low latency. It stays fast even when there is a lot of data or high traffic. It scales smoothly, and responses come back in real time, which is very useful.
What do you dislike about the product?
Some features that exist in other databases, like built-in search or graph, are not there.
What problems is the product solving and how is that benefiting you?
The low latency makes sure requests and transactions happen quickly, which improves the overall experience. It also gives us an easy way to grow as data and traffic increase, while staying reliable. It also reduces our cost in databases for storing the data and computation power.
ScyllaDB For Health Data Analysis
What do you like best about the product?
For health tech, where timeliness can affect the quality of treatment, etc, ScyllaDB's distributed architecture guarantees speedy reads/writes and consistency otherwise Its support for Apache Cassandra APIs also made transition more convenient although we did not have to rewrite our entire application logic.
What do you dislike about the product?
Better out-of-the-box integration with healthcare data compliance frameworks (HIPAA, GDPR) would be helpful for faster onboarding in regulated industries, otherwise everything seems perfect with scyllaDB.
What problems is the product solving and how is that benefiting you?
Patient vitals, lab results, and device data are all watched in real time to catch problems early. Now our health-tech system runs on ScyllaDB. It stores billions of time-stamped records and can check them in less than a millisecond. This makes for almost instant AI as well as machine learning at scale. For example, in the event that a patient 's ECG or blood pressure shows something untoward, we can immediately send in data to doctors who are near real-time processing and fast alerts get through quickly. It is ScyllaDB 's speed and reliability that makes this possible.
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.
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