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
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.
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 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.
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 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.
ScyllaDB For Health Data Analysis
What do you like best about the product?
For health tech, where timeliness can affect the quality of treatment, etc, ScyllaDB's distributed architecture guarantees speedy reads/writes and consistency otherwise Its support for Apache Cassandra APIs also made transition more convenient although we did not have to rewrite our entire application logic.
What do you dislike about the product?
Better out-of-the-box integration with healthcare data compliance frameworks (HIPAA, GDPR) would be helpful for faster onboarding in regulated industries, otherwise everything seems perfect with scyllaDB.
What problems is the product solving and how is that benefiting you?
Patient vitals, lab results, and device data are all watched in real time to catch problems early. Now our health-tech system runs on ScyllaDB. It stores billions of time-stamped records and can check them in less than a millisecond. This makes for almost instant AI as well as machine learning at scale. For example, in the event that a patient 's ECG or blood pressure shows something untoward, we can immediately send in data to doctors who are near real-time processing and fast alerts get through quickly. It is ScyllaDB 's speed and reliability that makes this possible.
Good and very intresting Technology
What do you like best about the product?
its Usability and easiness to use and UI and customer support and features
What do you dislike about the product?
Right now its in early stage and will get better with time
What problems is the product solving and how is that benefiting you?
its speed and time saving and helping to understand other technologies
ScyllaDB Delivers Speed and Scale for Our Logging Service
What do you like best about the product?
For our log data aggregation and analysis platform, ScyllaDB offers unparalleled performance and scalability. Real-time processing of millions of log events per second has relied heavily on its capacity to manage high-throughput writes with incredibly low latency. We also value the low operational overhead—compared to other NoSQL databases, ScyllaDB uses less infrastructure because of its auto-tuning features and effective hardware utilization. In particular, the native support for time-based TTLs is useful for automatically controlling log retention. It just operates on a larger scale.
What do you dislike about the product?
ScyllaDB has a learning curve for teams used to Apache Cassandra or more traditional relational databases even if it boasts better performance. For some complex tuning parameters and architectural ideas, such log analytics, optimal performance for particular workloads depends on a better knowledge. Moreover, even if the documentation is usually good, some edge cases—especially those related to large-scale cluster management and repair activities—would benefit from more practical examples. The community and support network, however, are flexible which helps to close the distance.
What problems is the product solving and how is that benefiting you?
ScyllaDB addresses our fundamental need for real-time ingestion, storage, and querying of enormous amounts of log data. With its high throughput and low-latency performance, ScyllaDB easily addresses the write-heavy nature and time-series structure of logs, which traditional databases battled. Its support of wide rows and TTLs helps to effectively retain logs and query without requiring intricate workarounds. All at scale and with a smaller operational footprint, this has allowed us to provide our clients real-time insights, fast search capabilities, and consistent alerting.
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