ScyllaDB Enterprise
ScyllaDB, IncExternal reviews
328 reviews
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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.
Blazing fast NoSQL Database for Healthcare Data Analytics
What do you like best about the product?
ScyllaDB is very fast for handling large amounts of time-series health data. The detailed indexing support makes it easier to query specific metrics like heart rate, calories, or workout sessions without scanning the full dataset. It scales horizontally without effort, and new nodes balance the data automatically. For us, real-time reads and writes are critical, and ScyllaDB does that very well.
What do you dislike about the product?
Some advanced features like graph queries and built-in search are missing, and it still takes time for new team members to learn how to design schemas and indexes in the best way.
What problems is the product solving and how is that benefiting you?
This has made our data pipeline stable, scalable, and reliable for our use case, and helping us reducing our database cost and increasing our profits.
Great NoSQL database for scaling and real-time data processing
What do you like best about the product?
I like that ScyllaDB can handle very large amounts of data quickly and smoothly. It is easy to add more servers as our data grows, and the system balances the data across nodes on its own. It works well for real-time data processing and has been very reliable with no major downtime. I also like their initiatives to organize various events regarding how to use scylladb in various fields.
What do you dislike about the product?
The main issue is that it uses a lot of system resources. Some features like search or graph queries are not built-in, and setting it up can be a bit hard for new users.
What problems is the product solving and how is that benefiting you?
We use ScyllaDB for large-scale data processing, especially for security and analysis. It helps us store and read data at high speed, even when the volume is very large. Scaling is smooth and we rarely face problems with availability, which makes our data processing work much faster and more reliable.
ScyllaDB For E-commerce Platform
What do you like best about the product?
Below are things which I like the most about our ScyllaDB usecase:
- Works really well for our online shopping site
- Able Handle lots of customers at once without slowing down the performance
- Easy to add more servers when we get busy during sales time
- Product catalog loads super fast for customers
- Shopping cart data never gets lost
- Works well with our existing tools
- Customer orders process quickly even during peak hours
- Works really well for our online shopping site
- Able Handle lots of customers at once without slowing down the performance
- Easy to add more servers when we get busy during sales time
- Product catalog loads super fast for customers
- Shopping cart data never gets lost
- Works well with our existing tools
- Customer orders process quickly even during peak hours
What do you dislike about the product?
- Setting it up the first time was tricky
- Not many online tutorials for beginners
- Some features we used in our old database aren't available
- Not many online tutorials for beginners
- Some features we used in our old database aren't available
What problems is the product solving and how is that benefiting you?
- Website is really fast even with thousands of shoppers are coming on out platform.
- Can handle Black Friday traffic without crashing.
- Easy to expand when our business grows.
- Customers have better shopping experience.
- Less downtime means more sales(more revenue) for us.
- Can handle Black Friday traffic without crashing.
- Easy to expand when our business grows.
- Customers have better shopping experience.
- Less downtime means more sales(more revenue) for us.
Best Database for Real Time Gaming Systems
What do you like best about the product?
- Handles huge amounts of data with no slowdown
- Very low delay, best for real-time apps like gaming
- Easy to add new servers and balance data
- Runs on any cloud
- Very low delay, best for real-time apps like gaming
- Easy to add new servers and balance data
- Runs on any cloud
What do you dislike about the product?
- Some features like graph queries or search are missing
- Not always easy for beginners to learn
- Not always easy for beginners to learn
What problems is the product solving and how is that benefiting you?
- We use it to track live user data in games (Real time gaming)
- Can handle millions of actions from players at the same time
- Data is safe and always available, even if a server fails
- Makes our platform fast and smooth for users
- Can handle millions of actions from players at the same time
- Data is safe and always available, even if a server fails
- Makes our platform fast and smooth for users
Best NoSQL Database for Performance and Latency
What do you like best about the product?
ScyllaDB is very fast and can handle a lot of with great efficiency. It works well for real-time use, heavy writes, and large-scale systems like IoT or analytics. Adding new nodes is quick and easy, and the data gets balanced automatically. It also works with Cassandra, so moving to it is simple. I also like that it runs on any cloud and supports containers.
What do you dislike about the product?
Some features, like graph queries or advanced search, are missing compared to other databases. It can also take time to learn and set up, and the docs could use more real-world examples. Like most NoSQL systems, you have to deal with things like eventual consistency and fewer options for joins or transactions.
What problems is the product solving and how is that benefiting you?
We wanted a database that can scale easily and stay fast even with very large data. ScyllaDB lets us store and process data across different regions and keep it available all the time. It helps with real-time analytics, security data, and other workloads that need low latency.
Fast and cost-friendly database for indexing and search
What do you like best about the product?
ScyllaDBs handling of indexing and search is very efficient. Even when the data grows, queries still run smoothly. It uses hardware well that we do not need any setup work, the speed can be quite high as the software does not put extra burden on.
What do you dislike about the product?
Cluster scaling works well, but setting it up the first time can be a bit tricky.Monitoring tools could be easier to use for new users
What problems is the product solving and how is that benefiting you?
We use ScyllaDB for fast lookups and indexing. It makes it easier to scale as our data gets bigger. We don’t need to spend extra on hardware, so it helps us cut costs and stay efficient.
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.
Super fast and reliable NoSQL Database for recommendation systems
What do you like best about the product?
ScyllaDB is very fast. We store a lot of user data like clicks, views, and preferences, and it handles everything smoothly. It’s easy to scale when we need more performance because of it's auto-scaling mechanism which is really very efficient. Due to it's lockless, shared-nothing architecture it's able to handle concurrent reads and writes very efficiently.
What do you dislike about the product?
You’ll need some time to understand how to design the data model the right way, otherwise everything is good.
What problems is the product solving and how is that benefiting you?
Our user recommendation system is powered by ScyllaDB. It enables us to present the appropriate goods and information to the appropriate audience at the appropriate moment. Without slowing down, it manages thousands of user actions daily. Our users now receive better recommendations, and our system is more efficient and reliable than before.
Best Database At Scale : ScyllaDB
What do you like best about the product?
It supports CQL (Cassandra Query Language), so migrating or integrating with Cassandra-based systems is very easy. Automatic Sharding and Load balancing reduces our operational overhead and it makes the node management very easy. In-built Grafana monitoring tool is really awesome, we do not need to set them up separately.
What do you dislike about the product?
ScyllaDB Cloud does not provide a way to visually browse databases, tables, or data rows. While it’s growing, there are fewer integrations or community tools.
What problems is the product solving and how is that benefiting you?
We use ScyllaDB for our internal data indexing and machine learning pipelines, which need to be fast and able to grow. ScyllaDB takes care of data distribution on its own and makes it easier for us to manage our database nodes, which saves us time on maintenance. Since we use ScyllaDB Cloud, scaling and upkeep are taken care of for us, letting our team stay focused on analytics and building better models instead of worrying about infrastructure.
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