ScyllaDB Cloud
ScyllaDB, IncExternal reviews
359 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.
Best Cassandra Alternative for Performance + Latency
What do you like best about the product?
ScyllaDB is very fast and gives quick results. It handles a lot of our data. The learning programs like ScyllaDB University and Masterclass helped our team understand it better and use it in our work.
What do you dislike about the product?
It needs good hardware to run fast. Some features like search or graph are not there. It can also take time to set up for new users.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us store and use big data quickly. The low delay makes our system run smooth. It also helps us grow easily when our data gets bigger.
Great Performance with Fast Indexing and Metric Analytics
What do you like best about the product?
Indexing makes searching data very fast and easy
Handles large metric data smoothly with low latency
Works well for real-time analytics and monitoring
Scales easily as more metrics are added
Handles large metric data smoothly with low latency
Works well for real-time analytics and monitoring
Scales easily as more metrics are added
What do you dislike about the product?
Nothing to dislike here but It takes time for new users to understand indexing setup.
What problems is the product solving and how is that benefiting you?
We use ScyllaDB to store and analyze metric data in real time. The Indexing helps us quickly find and filter the right data points. Scylladb Makes tracking and analyzing system metrics smooth and efficient
Fast and Reliable Database for Heavy Workloads
What do you like best about the product?
Performance and latency are two key important thing that it's specialized for. But, The sharding system works well in our usecase. Each node manages its own part of data, so the load is balanced. Even when traffic grows, the database stays stable. The replica system also helps. Query times are low, and I don’t have to worry about slow responses. Community and customer support is amazing here.
What do you dislike about the product?
The learning curve is a bit high at the start, especially when dealing with partitions and compactions.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps our business by making data access faster and more reliable. We use it for analytics and real-time processing. It scales easily, so we can add more nodes when needed. This makes it great for systems that must stay online all the time
Good NoSQL Database for storing ML training Data
What do you like best about the product?
ScyllaDB is very fast and handles a huge amount of data without any performance issues. We store large datasets for training our machine learning model, and it works smoothly even when the data keeps growing. Our setup is simple, and once it starts running, it needs very little care. (Thanks to Scylladb)
What do you dislike about the product?
Nothing to dislike anything regarding performance and latency. Native data adapters still does not exist. AFAIK, we can not get live updates on any change in the data via any events or sockets. But I believe lots of features will eventually be added 🚀.
What problems is the product solving and how is that benefiting you?
It saves the time, reduces delays. We are using ScyllaDB to store and manage crop and soil data for our ML model. The model predicts which soil, weather, and crop types are best for suitable environment. It also helps us test hybrid seed options. ScyllaDB makes it easy to handle and fetch this large data quickly, which helps our model train faster and give better results.
Fast and Reliable Log Analytics with ScyllaDB
What do you like best about the product?
Indexing helps us filter and query logs quickly.
Scales well as log volume grows.
Reliable even with heavy workloads.
Scales well as log volume grows.
Reliable even with heavy workloads.
What do you dislike about the product?
Needs strong hardware to get best speed.
What problems is the product solving and how is that benefiting you?
Real-time analytics is possible without delay.
Helps us detect issues faster and improve system monitoring.
Reducing the latency in retrieving the data and making better User Experience in end user applications.
Helps us detect issues faster and improve system monitoring.
Reducing the latency in retrieving the data and making better User Experience in end user applications.
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 | Focusing on performance and latency
What do you like best about the product?
It can handle a lot of data without slowing down, and the indexes make it easy to find the data we need quickly. Scylladb also organizes various events and masterclass which letting me know the new updates and things coming to it's newer versions.
What do you dislike about the product?
Nothing to dislike but some features like search or graph are not built-in.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us store and process large datasets. It gives quick results with low delay, even when the data grows. This makes our system more reliable and keeps performance smooth. Helping us to reduce the cost of database and infrastructure.
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.
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