--- title: ScyllaDB Reviews meta\_title: 'ScyllaDB Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 429 reviews by the users' company size, role or industry to find out how ScyllaDB works for a business like yours. aggregate\_rating: rating\_value: 4.5 review\_count: 429 scale: '5' date\_modified: '2026-08-07' parent\_category: name: NoSQL Databases url: https://www.g2.com/categories/nosql-databases ---

# ScyllaDB Reviews & Product Details

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ScyllaDB is a specialty database for workloads that require predictable performance at scale. It’s adopted by organizations that require ultra-low latency, even at millions of features or operations per second, billions of embeddings, or petabytes of storage. ScyllaDB’s shard-per-core architecture taps the full power of modern infrastructure, translating to fewer nodes, less admin, and lower costs. Over 400 companies such as Disney+, Discord, Tripadvisor, Expedia, Zillow, Starbucks, and Comcast use ScyllaDB for their toughest database challenges.

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Product Website
ScyllaDB
Seller
[ScyllaDB](https://www.g2.com/sellers/scylladb)
Discussions
[ScyllaDB Community](https://www.g2.com/products/scylladb/discuss)
Languages Supported

English

Solution Type

Best-of-Breed

Overview by
Julia Angell

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## Value at a Glance

Averages based on real user reviews.

### Time to Implement

3 months

[
View More Pricing Information
](https://www.g2.com/products/scylladb/pricing)

## ScyllaDB Integrations
(9)

What do users say about integrations?

Verified by ScyllaDB

[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Apache Kafka

](https://www.g2.com/products/apache-kafka/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

AWS Lambda

](https://www.g2.com/products/aws-lambda/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Elasticsearch

](https://www.g2.com/products/elastic-elasticsearch/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Kpow for Apache Kafka®

](https://www.g2.com/products/kpow-for-apache-kafka/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Nestjs

](https://www.g2.com/products/nestjs/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

OpenJDK 8 (Java 8) on Ubuntu 18

](https://www.g2.com/products/openjdk-8-java-8-on-ubuntu-18/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

OpenJDK Java Machine for Ubuntu 20.04

](https://www.g2.com/products/openjdk-java-machine-for-ubuntu-20-04/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Python

](https://www.g2.com/products/python/reviews)[

 ![Product Avatar Image](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Product Avatar Image")

Workato

](https://www.g2.com/products/workato/reviews)

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 ![Rajiv K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Rajiv K.")
RK

Rajiv K.

Product Owner - Technology Strategy and AI Integration

Enterprise (\> 1000 emp.)

3/11/2025

"High performance distributed database with scaling"

4.5/5

What do you like best about ScyllaDB?

What I like most about ScyllaDB is its performance and efficiency. It handles very high throughput with low latency, which is critical for real time and large scale data workloads. I also appreciate that it stays compatible with the Cassandra ecosystem, so teams can adopt it without major changes. The way it uses hardware resources efficiently makes operations much simpler. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

One thing I find challenging with ScyllaDB is the learning curve when it comes to tuning and operating it at scale. While it delivers strong performance, teams still need a good understanding of distributed systems to get the most out of it. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

ScyllaDB helps solve the challenge of handling very large volumes of data with low latency and predictable performance. In systems where throughput and response time matter, that makes a big difference. It allows applications to scale without constant performance bottlenecks. For me, the benefit is more stable performance, better use of infrastructure, and less effort spent dealing with database slowdowns as data and traffic grow. Review collected by and hosted on G2.com.

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3/12/2026
Validated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![dharshini p.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "dharshini p.")
DP

dharshini p.

Small-Business (50 or fewer emp.)

3/12/2026

"Scalable High Performance with Low Latency"

4.5/5

What do you like best about ScyllaDB?

I use ScyllaDB for building high performance backend systems that need large volumes of data with very low latency. I like its performance and latency, as it can process large numbers of read and write operations while keeping the response time fast. I also like its ability to scale easily. Additionally, it's scalable and compatible with Apache Cassandra APIs, which makes integration with tools and systems much easier. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

One thing that could be improved in ScyllaDB is the complexity of the initial setup. For beginners, cluster configuration and tuning can take some time and requires prior knowledge. More beginner-friendly, simplified tools and setup, clearer responses for common deployment scenarios, and automated config options could help developers start more easily. I think more friendly guides could make the process much easier for new users. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

I use ScyllaDB for building high-performance backend systems that handle large data volumes with low latency, efficiently processing many read and write requests even under high traffic, keeping the system fast and reliable as data and users grow. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite on behalf of seller

HD

Hans D.

Small-Business (50 or fewer emp.)

3/12/2026

"Scalable and Efficient with Compatibility Plus"

4/5

What do you like best about ScyllaDB?

I like ScyllaDB's impressive performance and efficiency, delivering very low latency even under heavy workloads. Its excellent use of available hardware allows us to handle large datasets with fewer nodes, which helps in reducing operational costs. The seamless compatibility with Apache Cassandra is also a big plus, as it makes adoption easier while we still benefit from significant performance improvements and scalability. I value how it allows us to keep our APIs responsive and services stable during traffic spikes. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

One area that could be improved in ScyllaDB is the operational learning curve. While it performs extremely well once properly configured, tuning and managing clusters can require solid distributed systems knowledge. Some ecosystem tools and documentation are also less mature compared to Apache Cassandra, so troubleshooting or advanced setups may take additional effort. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

I use ScyllaDB as a scalable database for high throughput and low latency needs. It handles large data volumes without bottlenecks, maintains low latency under load, and efficiently manages datasets. Its Cassandra compatibility eases integration while providing predictable performance and better hardware utilization. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![ABHASH CHAKRABORTY 2.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "ABHASH CHAKRABORTY 2.")
A2

ABHASH CHAKRABORTY 2.

Develoer

Small-Business (50 or fewer emp.)

3/12/2026

"ScyllaDB: Predictable Low Latency and High Throughput at Scale"

4.5/5

What do you like best about ScyllaDB?

ScyllaDB delivers extremely low latency and high throughput at scale, which helps keep performance predictable even under heavy load. Its shard-per-core architecture and efficient I/O scheduling allow it to fully utilize modern hardware without constant tuning, and that can reduce the number of nodes we need. I also appreciate that it’s largely Cassandra-compatible while being much faster, so you get a familiar data model and ecosystem, along with better tail latencies. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

ScyllaDB still comes with a learning curve, particularly when it comes to data modeling and capacity planning. If you get the model or the underlying infrastructure wrong, performance can degrade quickly. It also assumes you have solid hardware and that you make careful choices around storage and memory, so it’s less forgiving than simpler databases. Because of that, it can feel like overkill for smaller or more generic workloads. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

ScyllaDB addresses our need for consistently low-latency reads and writes on large, write-heavy workloads where traditional relational databases or slower NoSQL options tend to struggle. It allows us to support real-time, high-throughput use cases—such as event ingestion and time-series or key-value access—on fewer nodes. As a result, we can reduce infrastructure costs while still meeting strict SLAs. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Abhash C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Abhash C.")
AC

Abhash C.

Tech &amp; Innovation Intern

Small-Business (50 or fewer emp.)

3/12/2026

"Predictable, Ultra-Low Latency Performance at Scale with ScyllaDB"

4.5/5

What do you like best about ScyllaDB?

ScyllaDB delivers extremely low latency and high throughput at scale, so it keeps performance predictable even under heavy load. Its shard-per-core architecture and efficient I/O scheduling let it fully utilize modern hardware without constant tuning, which reduces the number of nodes we need. I also like that it is largely Cassandra-compatible while being much faster, so you get a familiar data model and ecosystem with better tail latencies. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

ScyllaDB still has a learning curve, especially around data modeling and capacity planning; if you get the model or infrastructure wrong, performance can degrade quickly. It also expects solid hardware and careful storage and memory choices, so it is less forgiving than simpler databases and can feel like overkill for small or generic workloads. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

ScyllaDB solves the need for consistently low-latency reads and writes on large, write-heavy workloads where traditional relational databases or slower NoSQL options would struggle. This lets us handle real-time, high-throughput use cases (like event ingestion and time-series or key-value access) on fewer nodes, lowering infrastructure costs while meeting strict SLAs. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Vaibhav V.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vaibhav V.")
VV

Vaibhav V.

Software developer

Small-Business (50 or fewer emp.)

3/11/2026

"High-Performance with Learning Curve Challenges"

4/5

What do you like best about ScyllaDB?

I use ScyllaDB for handling large-scale data in high-performance applications. I like its high performance and low latency when handling large amounts of data. It is designed to efficiently use modern hardware, making data processing very fast. Its compatibility with Apache Cassandra is great since it makes it easier for developers to migrate existing systems. I find the shard-per-core architecture, which efficiently utilizes modern multi-core CPUs, to improve performance and resource usage. Its compatibility with Apache Cassandra supports the same CQL (Cassandra Query Language), making migration easier without needing major code changes. The ability to deliver very low latency and high throughput is ideal for real-time applications that process large volumes of data. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

One area that could be improved in ScyllaDB is its learning curve for beginners, especially when setting up and managing clusters. The configuration and performance tuning can be complex for new users. Additionally, better documentation and simpler setup tools would make it easier for developers to get started quickly. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

ScyllaDB handles large-scale data efficiently, providing high speed and low latency. It supports real-time applications with key-value data storage and retrieval, making scalable, fast, and reliable backend systems possible. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Reshma P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Reshma P.")
 P

Reshma P.

software developer

Enterprise (\> 1000 emp.)

3/11/2026

"Predictable Performance, Low Latency at Scale with ScyllaDB"

5/5

What do you like best about ScyllaDB?

I appreciate ScyllaDB for its predictable low latency at scale, with P99 latency staying in the single-digit millisecond range even under heavy load. I like that we can use fewer nodes while achieving the same or better throughput, which makes our cluster much smaller. The ability to store both our key-value and vector workloads in one database is a big plus, eliminating the need for a separate vector database for RAG and semantic caching. The CQL compatibility is beneficial as it uses the same query language and driver model as Cassandra, easing both migration and hiring. The Shard-per-core-design is a standout feature—it scales performance predictably with core additions, reducing surprises under load and minimizing the need for constant tuning to avoid hotspots or mysterious latency spikes. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

Vector search is only on ScyllaDB Cloud right now, and we'd like to see it in open-source/self-managed for on-prem and air-gapped use. Data modeling is strict: partition key design and row/partition size really matter, and it's easy to paint yourself into a corner if you don't plan upfront. There's also a learning curve around compaction strategies, consistency levels, and limits (e.g., tables per keyspaces, partition size) that we had to absorb before we felt confident. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

ScyllaDB provides high write throughput and low latency at scale, allowing us to use fewer nodes with predictable performance. It unifies key-value and vector data needs, eliminating the need for separate databases, and facilitates scalable capacity planning with its shard-per-core design. Review collected by and hosted on G2.com.

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Validated ReviewerSource: Organic

 ![Subhendu D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Subhendu D.")
SD

Subhendu D.

Technical Lead

Small-Business (50 or fewer emp.)

3/11/2026

"High Performance but Needs a Bigger Ecosystem"

4/5

What do you like best about ScyllaDB?

I use ScyllaDB for high throughput backend services that require low latency reads and writes at scale. I like its sharding and shard per core architecture. I also appreciate its compatibility with Cassandra, supporting Cassandra drivers and CQL, which my organization was already experienced with. Switching to ScyllaDB was easy because the same queries and driver configurations worked without code changes. It integrates well with Apache Cassandra drivers, monitoring tools like Prometheus, and visualization platforms like Grafana. The initial setup was fairly straightforward, thanks to the available documentation and compatibility with Apache Cassandra. ScyllaDB delivers excellent performance and scalability for high-throughput workloads. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

I think the ecosystem and community resources are still smaller, which can be a bit limiting. The configuration also feels a bit manual, especially when it comes to node removal. I feel expanding documentation with more real-world architecture examples, migration guides from Apache Cassandra, and best-practice patterns for scaling and tuning clusters would help developers adopt it faster. A larger community presence with more open discussions, tutorials, and troubleshooting resources would make it easier for teams to resolve issues and learn from practical production use cases. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

I use ScyllaDB for high-throughput backend services requiring low latency at scale. It manages large volumes of data with very low latency and is compatible with Cassandra. Review collected by and hosted on G2.com.

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Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconValidated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Malehlohonolo M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Malehlohonolo M.")
MM

Malehlohonolo M.

Legal Content Contributor

Small-Business (50 or fewer emp.)

3/11/2026

"High-Performance ScyllaDB for Large-Scale Workloads with Cassandra Compatibility"

5/5

What do you like best about ScyllaDB?

ScyllaDB stands out for its performance and efficiency when working with large-scale, data-intensive workloads. The architecture is designed to fully utilize modern hardware, which helps deliver low latency and high throughput even under heavy traffic. I also appreciate that it is compatible with Cassandra, which makes migration or integration easier for teams already familiar with that ecosystem. The documentation and technical talks from the community make it easier to understand distributed database concepts and real-world scaling challenges. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

Because ScyllaDB is designed for high-scale distributed systems, it can feel complex for beginners who are new to distributed databases. Some concepts around cluster management, tuning performance, and infrastructure requirements may require a learning curve. Smaller teams or projects that do not require extreme scale might find it more advanced than what they need compared to simpler managed databases. Review collected by and hosted on G2.com.

What problems is ScyllaDB solving and how is that benefiting you?

ScyllaDB addresses the challenge of handling large volumes of real-time data with consistent performance. It is especially useful for applications that require low latency and high availability, such as analytics platforms, messaging systems, and large online services. From a learning and research perspective, exploring ScyllaDB helps deepen my understanding of distributed databases, scalability, and modern data infrastructure, which are important areas as technology and data governance continue to evolve. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite on behalf of seller

 ![Ankit A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ankit A.")
AA

Ankit A.

Tibco EBX Architect

Mid-Market (51-1000 emp.)

3/11/2026

"Massive Throughput, Slight Learning Curve"

4/5

What do you like best about ScyllaDB?

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. Review collected by and hosted on G2.com.

What do you dislike about ScyllaDB?

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. Review collected by and hosted on G2.com.

What problems is ScyllaDB 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. Review collected by and hosted on G2.com.

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Validated ReviewerIncentivizedSource: G2 invite on behalf of seller

## Questions about ScyllaDB? Ask real users or explore answers from the community

Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.

[
Ask about ScyllaDB
](https://www.g2.com/products/scylladb/discussions/new)

 ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User")
G2

Verified User
•
Last activity 4 months ago

How does ScyllaDB handle sharding and replication?

1 Upvote

1

[
Join the conversation
](https://www.g2.com/discussions/how-does-scylladb-handle-sharding-and-replication)

 ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User")
G2

Verified User
•
Last activity 4 months ago

Is ScyllaDB free?

1 Upvote

1

[
Join the conversation
](https://www.g2.com/discussions/is-scylladb-free)

[
View all Discussions
](https://www.g2.com/products/scylladb/discuss)

## Pricing Insights

Averages based on real user reviews.

### Time to Implement

3 months

### Return on Investment

14 months

### Average Discount

12%

[
View More Pricing Information
](https://www.g2.com/products/scylladb/pricing)

ScyllaDB Comparisons

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4.5/5(136)

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Cassandra

4.1/5(35)

[
Compare Now
](https://www.g2.com/compare/cassandra-vs-scylladb)

##### 
##### ScyllaDB Features

Configuration

Application Performance

Database Monitoring

Availability

Scalability

Backup

Indexing

Security

Role-Based Authorization

Authentication

Audit Logs

Data Management

Data Model

Data Types

[
View More Features
](https://www.g2.com/products/scylladb/features)

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Cassandra

4.1/5(35)

](https://www.g2.com/products/cassandra/reviews)

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##### Categories on G2

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