ScyllaDB Cloud
ScyllaDB, IncExternal reviews
347 reviews
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Great Performance and Low Latency at Scale
What do you like best about the product?
ScyllaDB gives very low latency even when our product has a lot of traffic. Scylladb's sharding system is amazing, also helps to spread the data across nodes, so no single node gets overloaded. we are able to handle millions of requests without any performance issues.
What do you dislike about the product?
There is nothing major to dislike about scylladb. Only the community support is less as compared to other alternatives.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us keep our product running fast even with heavy load. Our latency is improved of querying the data. The database scales easily, and we can add more nodes when traffic increases. This makes it a strong choice for our large-scale system.
Good Database for Big Data Jobs
What do you like best about the product?
It handles big read and write loads without slowing down. The data is divided into shards, so each node takes care of its part. This makes the system fast and stable. The data moves easily between nodes, and the jobs finish faster.
What do you dislike about the product?
There is nothing much to dislike. But it would be nice if ScyllaDB can have full user management and authentication built in. That way, we would not need to use other tools for access control.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us process big data in real time. It stores large datasets that we use for our Spark jobs and analytics. The speed and low latency helps us get results quickly. It also scale easily, so we can add more nodes when our data become very lerge. This makes it very helpful for our big data system.
Excellent Database for storing AI Generated Data
What do you like best about the product?
ScyllaDB is very fast and handles thousands of data records at one time without any delay. The latency is very low, and the throughput is excellent. It helps keep the ML data pipeline stable and quick.
What do you dislike about the product?
Sometimes it can be hard to monitor and manage cluster performance when the data size keeps growing. A simpler built-in dashboard for tracking and tuning would be helpful.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us store a large amount of AI-generated data easily.
It gives fast results when we read or write data. This helps us save time while training our models.
The high speed and low delay make the whole training process faster.
It gives fast results when we read or write data. This helps us save time while training our models.
The high speed and low delay make the whole training process faster.
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 Performance in NoSQL Databases
What do you like best about the product?
* ScyllaDB is very fast and gives results quickly
* Latency is very low, even when data is big
* Handles heavy traffic and workloads easily
* Keeps system stable with no downtime
* Latency is very low, even when data is big
* Handles heavy traffic and workloads easily
* Keeps system stable with no downtime
What do you dislike about the product?
Nothing to dislike about scylladb as per our usecase, but in future it will be good to have real time database storage like firestore in firebases.
What problems is the product solving and how is that benefiting you?
It Improves performance for real-time systems and Keeps our apps fast and users happy.
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 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
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