ScyllaDB Cloud
ScyllaDB, IncExternal reviews
348 reviews
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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.
Best NoSQL Database for performance
What do you like best about the product?
▪️Very fast with low latency for user data
▪️Handles high traffic during sales smoothly
▪️Easy to scale when orders and users grow
▪️Handles high traffic during sales smoothly
▪️Easy to scale when orders and users grow
What do you dislike about the product?
▪️Uses a lot of resources for big workloads
▪️Needs time for new developers to learn
▪️Needs time for new developers to learn
What problems is the product solving and how is that benefiting you?
▪️Stores product, order, and user data reliably.
▪️Keeps site performance fast even with heavy load.
▪️Helps manage real-time transactions without delays.
▪️Keeps site performance fast even with heavy load.
▪️Helps manage real-time transactions without delays.
Scylladb for Research Base Analysis
What do you like best about the product?
Helping us store and process large sets of biochemistry research data. It handles structured and time-series data with very low latency, which is important for experiments where results must be read quickly. The database is easy to scale, and the shard-per-core design makes queries faster and more stable.
What do you dislike about the product?
It uses a lot of resources when the workload is heavy. Cost seems too steep.
What problems is the product solving and how is that benefiting you?
The low latency makes data retrieval fast, even when the dataset is huge. It allows us to run analysis in real time, and scaling up for more experiments is simple.
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.
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