ScyllaDB Cloud
ScyllaDB, IncExternal reviews
400 reviews
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Solid Vector Search Support, Room to Grow
What do you like best about the product?
vector search support
rest api compatibility
rest api compatibility
What do you dislike about the product?
integrating with complex legacy product like the one i work on , the cost insreases .My product still uses wsssdl way of api communication
What problems is the product solving and how is that benefiting you?
as no data is shared , its ideal for our saas product which is based on microservice architecture . this helps is moving from distributed monolith arch to actual microservice arch
Fast, Scalable, but Pricey Database Solution
What do you like best about the product?
I like the speed and scalability of ScyllaDB. We need to be able to get the data out of the key value store in less than 10ms and be able to scale horizontally, which is why we are considering ScyllaDB.
What do you dislike about the product?
I find the license more expensive than our current solution.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for its speed and scalability to retrieve key-value data in under 10ms and scale horizontally.
Scalable, Fast, and Developer-Friendly
What do you like best about the product?
I really like ScyllaDB for its compatibility with CQL and its large ecosystem. The community and documentation are amazing, which is a huge plus for us. I find ScyllaDB to be fast, atomic, and provides scalable column databases. The initial setup was pretty easy too, as we just used the docker image.
What do you dislike about the product?
I think new features are not really visible unless you actually go looking for them.
What problems is the product solving and how is that benefiting you?
ScyllaDB provides fast, atomic, and scalable column databases, essential for powering our messaging platform.
Best Performance and Low Latency with NoSQL Database (ScyllaDB)
What do you like best about the product?
I like ScyllaDB's performance, especially because it's impacted by its indexing and the whole database being written in C++, which serves as the building block for a faster NoSQL DB. It's great for storing our ERP system, especially as we introduce new features and are unsure about the schema size. This NoSQL wide column structure allows us to store a wide range of data. Performance is great compared to MongoDB, and it has very low latency. We experienced a decrease in latency while debugging through the log.
What do you dislike about the product?
I find ScyllaDB's UI to be very minimal. It doesn't have native integration for cloud functions like MongoDB or Firebase. Also, live streaming requires extra setup compared to Firebase.
What problems is the product solving and how is that benefiting you?
With ScyllaDB, I don’t need to worry about data size or schema types. It handles our ERP system(Gateway group of companies erp systen) flawlessly with great performance and low latency, improving user experience significantly.
Strong Performance for ML Pipeline with ScyllaDB
What do you like best about the product?
ScyllaDB gives very high performance for our ML pipeline. It uses shard-per-core design, so each CPU core handles its own data. Because of this, read and write speed is very high. It supports high throughput and keeps latency very low even when we store and fetch large training data.
What do you dislike about the product?
Data modeling needs to be done carefully. We must design partition keys properly to get best speed. Monitoring and tuning need some effort when data grows very large.
What problems is the product solving and how is that benefiting you?
We store large ML training and inference data in ScyllaDB. During model training, data is read very fast without delay. High throughput helps us process many records at the same time. Because of this, our ML pipeline runs faster and we complete training jobs in less time.
ScyllaDB performs well in every measurable way, throughput, latency, cost, and efficiency.
What do you like best about the product?
Scylladb change in their license policy, which will have an effect for anyone who is self-hosting and using the non-enterprise version.
What do you dislike about the product?
poor documentation with limited features
What problems is the product solving and how is that benefiting you?
ScyllaDB performs well than Cassandra in nearly every measurable way, throughput, latency, cost, and efficiency.
It also simplifies the operations while offering enterprise-grade NoSQL features.Migration is non-disruptive and well-documented, supported by mature tools.
It also simplifies the operations while offering enterprise-grade NoSQL features.Migration is non-disruptive and well-documented, supported by mature tools.
Low Latency That Delivers at Scale
What do you like best about the product?
What I like best about ScyllaDB is its performance and efficiency at scale.
What do you dislike about the product?
One thing I dislike about ScyllaDB is that its advanced architecture can raise the learning curve, especially for teams new to distributed systems or coming from traditional databases. Understanding concepts like shard-per-core, tuning, and operational best practices takes time.
What problems is the product solving and how is that benefiting you?
scaling high-throughput, low-latency workloads without excessive infrastructure cost or operational complexity
Best NoSQL Database for Storing non-text data (e.g. BSON)
What do you like best about the product?
Below are the things that I like the most about ScyllaDB:
- Stores millions of legal documents(in bson) without problem
- High throughput helps our ML pipelines run faster
- Indexing is very good and helps in quick search
- Low latency while reading and processing documents
- Stores millions of legal documents(in bson) without problem
- High throughput helps our ML pipelines run faster
- Indexing is very good and helps in quick search
- Low latency while reading and processing documents
What do you dislike about the product?
Nothing to dislike about Scylladb but in our use-case Query patterns must be fixed early.
What problems is the product solving and how is that benefiting you?
- Scylladb Helps us manage huge legal document data easily
- It Makes document analysis fast and reliable due to it's low latency
- Supports ML pipelines with maximum throughput
- It Makes document analysis fast and reliable due to it's low latency
- Supports ML pipelines with maximum throughput
High-Performance and Scalable, But Needs Better Monitoring
What do you like best about the product?
I appreciate that ScyllaDB can store a large amount of data without any performance issues, which is crucial for our AI model training. The high throughput allows us to read and write data quickly even during heavy workloads, and its low latency means we can feed data to AI models very quickly, reducing training time. Performance stays stable as data grows, which makes our AI pipeline smooth and reliable.
What do you dislike about the product?
Monitoring the database anomalies can be improved, few built-in tools compared to other databases. Otherwise nothing to dislike about.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to store large data sets for AI model training. It helps store data safely and feeds data quickly due to low latency, reducing training time and making the AI pipeline smooth and reliable.
ScyllaDB: A Must-Have for Dynamic NoSQL Database Management
What do you like best about the product?
ScyllDB is a useful tool when working with NoSQL databases. It is especially effective in situations where properties need to be updated dynamically.
What do you dislike about the product?
I am not aware of any particular drawbacks when it comes to using ScyllaDB.
What problems is the product solving and how is that benefiting you?
I am not aware of any particular problem that ScyllDB is aiming to address.
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