ScyllaDB Cloud
ScyllaDB, IncExternal reviews
366 reviews
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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. By adding a more simple and clear dashboard with charts for latency, throughput, and node health in one place, better alerts and a more beginner-friendly view would also make daily monitoring easier. Initial setup was easy, but beginners without any knowledge might take more time for setup.
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.
ScyllaDB Gives Better Speed and Throughput Than Other NoSQL Alternatives
What do you like best about the product?
It gives very high throughput, and it stays fast all time even when we send a lot of data at the same time. As Compared to MongoDB, the speed is much better, and the latency is very low.
What do you dislike about the product?
Some tools and features we get easily in MongoDB are not available in ScyllaDB. Also, setting up the cluster needs some learning, and simple built-in monitoring could be better.
What problems is the product solving and how is that benefiting you?
Scylladb makes our system more stable and quick than what we saw earlier with MongoDB. It improved our user experience and we also reduced the cost of database via using scylladb as our primary database.
Perfect for Storing Blockchain Data and Reducing API Costs
What do you like best about the product?
In the blockchain, we deal with a massive amount of transaction data. ScyllaDB handles high-speed writes and reads without slow down for storing our transactional data fron ethereum chain to our local storage just to make it more acessible and faster.
What do you dislike about the product?
To get the absolute best results, you need to understand how to model your data correctly (partition keys and clustering keys).
What problems is the product solving and how is that benefiting you?
ScyllaDB has solved two major problems for us: cost and latency. Fetching data directly from the blockchain through external APIs is very expensive. By storing the specific transaction data we need in ScyllaDB, we reduced our API costs significantly. Official block explorers can be slow. Because ScyllaDB is so fast, our internal tool now outperforms many public explorers. Our users can analyze their contract transactions on our platform with much better latency, which has improved overall experience.
Great Database with Strong Community and Fast Performance
What do you like best about the product?
ScyllaDB performance is very fast and steady.
ScyllaDB events are useful and easy to follow.
Learning from the community sessions is simple.
The overall ecosystem feels strong and growing.
ScyllaDB events are useful and easy to follow.
Learning from the community sessions is simple.
The overall ecosystem feels strong and growing.
What do you dislike about the product?
Nothing major to dislike.
It would help if ScyllaDB had simple built-in user access features.
It would help if ScyllaDB had simple built-in user access features.
What problems is the product solving and how is that benefiting you?
The community support is great. We can depend on ScyllaDB for stable and always-on performance. It helps us increasing our revenue.
Blazing Fast, Effortlessly Scalable NoSQL with Excellent Documentation
What do you like best about the product?
ScyllaDB is fast, highly scalable, and efficiently uses all CPU cores. It handles millions of operations per second with consistent performance, scales easily by adding nodes, and has excellent, practical documentation.
What do you dislike about the product?
It’s self-managed and requires a fairly deep level of technical knowledge to operate effectively.
What problems is the product solving and how is that benefiting you?
ScyllaDB solves the performance bottlenecks common in other NoSQL databases.
While many systems struggle with high latency and slow reads under heavy load, ScyllaDB delivers extremely fast and consistent read performance, even at large scale.
It fully utilizes all CPU cores and scales horizontally without losing speed, eliminating slowdowns and bottlenecks during peak traffic.
In practice, this means near real-time responses and a much more efficient infrastructure.
While many systems struggle with high latency and slow reads under heavy load, ScyllaDB delivers extremely fast and consistent read performance, even at large scale.
It fully utilizes all CPU cores and scales horizontally without losing speed, eliminating slowdowns and bottlenecks during peak traffic.
In practice, this means near real-time responses and a much more efficient infrastructure.
Cluster-Node Solution Simplifies Database Management
What do you like best about the product?
I like ScyllaDB for its cluster-node solution and the ease with which I can define data replicas. This feature is particularly beneficial in use cases where MongoDB and Cassandra might fall short. When I attempted similar tasks with another database, the process was far more complicated and confusing. As a developer who is primarily focused on application code, I appreciate not having to devote excessive time to database hurdles. Additionally, the initial setup of ScyllaDB seemed easy for me, which is advantageous for someone new to the product. These aspects make my experience with ScyllaDB more efficient and enjoyable, encouraging me to explore the platform further in the training documentation.
What do you dislike about the product?
Nothing at this moment, I need to use more before.
What problems is the product solving and how is that benefiting you?
ScyllaDB simplifies cluster-node solutions and defining data replicas, ideal for developers like me who focus on application code rather than database complexities.
Cost-Effective with Impressive Performance
What do you like best about the product?
I use ScyllaDB as a NoSQL database for appending message data before transitioning it to downstream services, where its efficiency stands out significantly. ScyllaDB is cheaper than DynamoDB, yet it offers comparable or sometimes even superior performance, which is highly beneficial for cost-effective scalability. I appreciate the SQL-like syntax that ScyllaDB provides, which enhances the usability by making it easier to query and manage data. The shard-per-core architecture is particularly impressive because it allows us to maximize CPU utilization, squeezing out extraordinary levels of performance, which is critical for our intensive processing needs. Additionally, the support team at ScyllaDB has been incredibly active and helpful in troubleshooting, making the transition smooth and instilling confidence in the adoption of their system.
What do you dislike about the product?
I find the lack of support for lightweight transactions (LWT) across nodes or partitions challenging. This limitation makes it difficult to handle transactions in a manner similar to PostgreSQL, where transactions can touch multiple tables in the database. Additionally, I would appreciate built-in support for retries, which is currently lacking and impacts the ease of handling transactions effectively.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB as a cost-effective NoSQL database with performance comparable to DynamoDB. It optimizes CPU usage with shard per core, supports SQL-like syntax, and aids in appending message data efficiently.
Blazing Fast Performance and Seamless Cassandra Compatibility
What do you like best about the product?
The performance is really impressive - we're seeing much lower latency and way better throughput compared to what we had before. The fact that it's compatible with Cassandra made our migration pretty smooth, and honestly, the speed improvements alone made it worth the switch.
What do you dislike about the product?
It took us a good bit of time to get comfortable with it, especially coming from a simpler database setup. The docs are okay but sometimes feel a bit sparse - we spent way too much time googling things during our initial deployment. Would love to see more practical examples and troubleshooting tips for when things don't go as planned.
What problems is the product solving and how is that benefiting you?
We needed a database that could handle our growing data volumes without slowing down. ScyllaDB solved our performance bottlenecks - queries that used to take seconds now finish in milliseconds. It's also helping us save on infrastructure costs since we need fewer nodes to handle the same workload. The scalability has been a game changer for us as our user base keeps growing.
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