ScyllaDB Cloud
ScyllaDB, IncExternal reviews
426 reviews
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External reviews are not included in the AWS star rating for the product.
Massive Throughput, Slight Learning Curve
What do you like best about the product?
I find ScyllaDB to be really effective for managing the world's largest data migrations with 99.9% data quality and minimal downtime. I really like the High Velocity Migration and scalable metadata storage features. ScyllaDB acts as a staging layer for high volume migrations and offers high speed. It also handles scalable metadata storage efficiently by managing large catalogs for metadata and business rules. It works well for massive throughput and predictive latency. I also appreciate that setting it up on the cloud is easiest, especially using Docker, though it requires knowledge of persistence storage and networking.
What do you dislike about the product?
I think ScyllaDB's learning curve could be improved. Also, the monitoring can get quite complex. Setting it up on Docker is a bit tricky because you need to know about persistent storage and networking.
What problems is the product solving and how is that benefiting you?
ScyllaDB helps us manage large data migrations with 99.9% data quality and minimal downtime, solving capacity issues and ensuring no downtime.
Low-Effort Scalability, but Needs Broader Use Case Coverage
What do you like best about the product?
Low Effort for Scalability, capability to support HUGE datasets.
What do you dislike about the product?
Need to cover more use cases.
World is more than unstructured
World is more than unstructured
What problems is the product solving and how is that benefiting you?
Management of large volume of logs.
High Performance, Challenging Setup
What do you like best about the product?
I like ScyllaDB for its high performance and the ability to handle massive amounts of security data without slowing down. Its low latency querying is valuable because it allows me to retrieve information almost instantly during investigations. I also appreciate its speed, scalability, and reliability, which are critical for my cybersecurity projects.
What do you dislike about the product?
Configuring nodes, replication, and monitoring in ScyllaDB was a bit intimidating, especially under the hackathons' time frame. Setting up isn't always straightforward and it presents a big learning curve. Initial setup was not easy. Simplifying cluster wizards for quickly setting up smaller clusters and pre-configured templates for common scenarios would help.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB in cybersecurity projects for its speed, scalability, and ability to handle large volumes of security data. It solves high-volume log ingestion issues, allowing me to store and analyze datasets from tools like nmap without slowing down.
Low-Latency, High-Throughput Vector Store—Still Exploring the Rest
What do you like best about the product?
low latency high throughput vector store
What do you dislike about the product?
the cap for default to 100 tablets complexity
What problems is the product solving and how is that benefiting you?
hight ingestion of logs with low latency
High Performance and Easy Setup
What do you like best about the product?
I like ScyllaDB for its ability to deliver extremely high performance with predictable latency, which is valuable for modern systems that are latency sensitive. I also find it reliable and it helps tackle performance and scalability issues. The initial setup was quite easy.
What do you dislike about the product?
nothing at this point still new to it
What problems is the product solving and how is that benefiting you?
ScyllaDB tackles performance and scalability issues, providing reliable and high performance with predictable latency which is valuable for latency-sensitive systems.
Seamless Cassandra Transition with High Throughput
What do you like best about the product?
I use ScyllaDB to store high throughput IoT pings, and it effectively handles high throughput ingestion. The transition to ScyllaDB from Cassandra was made easier because it is very much compatible with Cassandra, facilitating a smoother migration. I would highly recommend ScyllaDB to others, rating it a 10 out of 10.
What do you dislike about the product?
No
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for high throughput ingestion, and migrating from Cassandra was easier due to its compatibility.
Innovative, Simple, and User-Friendly
What do you like best about the product?
I like ScyllaDB for its innovation and great interface. I also find the initial setup quite simple, which makes it easy to get started.
What do you dislike about the product?
sometimes few thing are annoying
What problems is the product solving and how is that benefiting you?
ScyllaDB solves my programming state issues with its innovative and easy-to-use interface.
High Performance with Manageable Learning Curve
What do you like best about the product?
I like ScyllaDB for its shard per core design because it's NUMA friendly and eliminates contentions and locks in network event streaming. It provides linear scalability per core, which I find great since there are no GC pauses, helping to eliminate tail latency spikes like we experienced with Cassandra. I also appreciate the massive throughput, which helps with high volume ingestion.
What do you dislike about the product?
I find ScyllaDB's data modeling challenging and the learning curve quite strict. The strict data modeling makes schema changes later difficult, especially if the event starts to have additional data.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB to solve performance, scaling, and cost bottlenecks I faced with Cassandra and DynamoDB for data-intensive network analytics.
One of the best high performance databases for scaling
What do you like best about the product?
ScyllaDB is one of the best of its kind when it comes to its performance and efficient resource utilization. Its ability to use modern hardware and deliver very high throughput with extremely low latency is very impressive. It seamlessly handles large volumes of data and concurrent requests while performing better than other traditional NoSQL databases. Plus, it is easy to integrate with the existing workflows.
What do you dislike about the product?
While it is such a great database for handling large chunks of data, the operational challenge can be a bottleneck for newly distributed teams.
What problems is the product solving and how is that benefiting you?
In our organization, we handle large volume of sensitive data and ScyllaDB helped handle such large-scale high throughput data with minimal latency. The best part is that it uses its shard-per-core architecture that allows it to fully utilize modern multi-core CPUs. Thus, the performance becomes positively predictable even under heavy load. We don't have to spend our time and efforts in constant scaling of infrastructure because of its system responsiveness. Its stable performance enables us to operate smoothly with real-time applications and data-intensive services.
Handles High Write Loads with Ease
What do you like best about the product?
I find ScyllaDB easy to query and capable of ingesting a high volume of data. I receive about 50K insert queries per second, along with subsequent update queries on SMS delivery reports, and it's handled well by ScyllaDB. Setting up the initial multi-data center cluster was also very easy.
What do you dislike about the product?
I don't like altering the schema or querying on non-primary index data without using allow filtering.
What problems is the product solving and how is that benefiting you?
I use ScyllaDB for handling heavy writes and updates per second. It's easy to query and ingest high data volumes, managing 50K/s insert queries and updates on SMS DLRs effectively.
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