ScyllaDB Cloud
ScyllaDB, IncExternal reviews
364 reviews
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External reviews are not included in the AWS star rating for the product.
Good NoSQL Database for Encrypting the Data
What do you like best about the product?
ScyllaDB is very fast and have in-built encryption system to store the data safely. The extra layer of encryption helps protect confidential records without slowing down the system.
What do you dislike about the product?
It has very limited ecosystem as it is new DB and thus has a smaller community and suppor. But Scylladb university and some masterclass helps users to get start.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us store and manage hospital records in a secure way. The low latency makes data access very fast, even when there is a lot of information and encryption. It keeps patient data safe and improves the overall user experience for both staff and doctors.
Best NoSQL For Extreme Performance
What do you like best about the product?
When I used scylladb for the first time, It was really fast as compared to other NoSQL alternatives. It gives results with very low latency. It handles large workloads easily and keeps performance stable even during peak usage.
What do you dislike about the product?
Some features, such as graph queries and built-in search, are not yet there.
What problems is the product solving and how is that benefiting you?
We store and process large amount of data in ScyllaDB.
Real-time analytics is just amazing, thanks to it's very low latency.
It's making our data ingestion pipeline faster and more reliable.
Real-time analytics is just amazing, thanks to it's very low latency.
It's making our data ingestion pipeline faster and more 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.
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 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.
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