---
title: ScyllaDB Reviews
meta_title: 'ScyllaDB Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 427 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: 427
  scale: '5'
date_modified: '2026-07-15'
parent_category:
  name: NoSQL Databases
  url: https://www.g2.com/categories/nosql-databases
---

# ScyllaDB Reviews
**Vendor:** ScyllaDB  
**Category:** [Key Value Databases](https://www.g2.com/categories/key-value-databases)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 427
## About ScyllaDB
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.



## ScyllaDB Pros & Cons
**What users like:**

- Users value the **high performance** of ScyllaDB, appreciating its speed and stability under heavy loads. (56 reviews)
- Users love the **speed and responsiveness** of ScyllaDB, which efficiently handles heavy workloads with low latency. (49 reviews)
- Users value the **exceptional scalability** of ScyllaDB, enabling seamless handling of millions of requests effortlessly. (45 reviews)
- Users love the **low latency** of ScyllaDB, enabling quick results even under heavy workloads. (39 reviews)
- Users value the **ease of use** of ScyllaDB, finding it straightforward to set up and scale effectively. (14 reviews)
- Data Handling (11 reviews)
- High Availability (11 reviews)
- Querying (10 reviews)
- Easy Implementation (9 reviews)
- Analytics (8 reviews)

**What users dislike:**

- Users note a **steep learning curve** for newcomers, citing clarity issues in documentation and limited community support. (21 reviews)
- Users find **limited features** in ScyllaDB compared to MongoDB, affecting usability and setup for new users. (13 reviews)
- Users find the **difficult learning curve** challenging, especially without prior knowledge of distributed systems. (9 reviews)
- Users face a **difficult setup** process in ScyllaDB, requiring time to learn and understand its architecture. (9 reviews)
- Users struggle with the **steep learning curve** of ScyllaDB, finding it challenging due to its complexity and lack of beginner resources. (8 reviews)
- Complex Setup (7 reviews)
- Poor Usability (6 reviews)
- Users find ScyllaDB to be **expensive** , impacting resource availability and complicating the learning process. (5 reviews)
- Limited Access (4 reviews)
- Performance Issues (4 reviews)

## ScyllaDB Reviews
  ### 1. Blazing Fast Performance and Seamless Cassandra Compatibility

**Rating:** 4.5/5.0 stars

**Reviewed by:** Dave C. | Consultant, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 12, 2025

**What do you like best about ScyllaDB?**

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 ScyllaDB?**

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 ScyllaDB 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.

  ### 2. Best Performance and Low Latency with NoSQL Database (ScyllaDB)

**Rating:** 5.0/5.0 stars

**Reviewed by:** Vaibhav Y. | Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 24, 2026

**What do you like best about ScyllaDB?**

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 ScyllaDB?**

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 ScyllaDB 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.

  ### 3. Unmatched Performance and Scalability, but Steep Learning Curve

**Rating:** 4.5/5.0 stars

**Reviewed by:** Mallik c. | Sr. Enterprise Cloud Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** April 28, 2026

**What do you like best about ScyllaDB?**

I like ScyllaDB for its impressive performance and speed, offering 10 times more performance compared to Cassandra. It's rewritten in C++ instead of Java, which provides predictable low latency, like p99 latencies under heavy load, and overcomes JVM limitations. I also appreciate its ability to tune settings, reducing administrative overheads and making it cost-efficient as well.

**What do you dislike about ScyllaDB?**

It could be the steep learning curve. You know, optimizing and, managing the ScyllaDB at scale, it requires deep knowledge of distributed systems. Especially around the horizontal scaling using the shard key selections and data modeling. Sometimes it warrants a complex data modeling, because this is crucial. To avoid those expensive mistakes at a later stage. The third one would be a, smaller community. So even though it is growing, but there is still a smaller community, compared to the Postgres and other databases available.

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

I use ScyllaDB for its flexible schema and horizontal scaling, solving our high-performance application needs with low latency, particularly during heavy loads like 'Black Friday'. Its performance outpaces peers, offering cost efficiency by eliminating administrative overheads.

  ### 4. Perfect for Storing Blockchain Data and Reducing API Costs

**Rating:** 4.5/5.0 stars

**Reviewed by:** Parita V. | Full Stack Developer, Computer & Network Security, Mid-Market (51-1000 emp.)

**Reviewed Date:** November 25, 2025

**What do you like best about ScyllaDB?**

In 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(other Blockchains) chain to our local storage just to make it more acessible and faster.

**What do you dislike about ScyllaDB?**

To get the absolute best results, you need to understand how to model your data correctly (partition keys and clustering keys).

**What problems is ScyllaDB 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.

  ### 5. High Throughput and Low Latency, But Configuration Could Be Simpler

**Rating:** 3.5/5.0 stars

**Reviewed by:** Prasanth K. | Enterprise Architect | Cloud Transformation Leader | Driving Multi-Cloud Strategy, Solutions | DevSecOps Excellence | Innovation Resilient Infrastructure at Scale, Information Technology and Services, Enterprise (> 1000 emp.)

**Reviewed Date:** November 12, 2025

**What do you like best about ScyllaDB?**

I'm extremely happy about ScyllaDB's low latency and seamless scalability, especially when compared to the delayed processes in traditional databases. Its ability to handle high write throughput with less latency really stood out. We also realized somewhat better analytics when compared to traditional options, and I experienced more reliable monitoring with it.

**What do you dislike about ScyllaDB?**

Cluster setup took us some time, so that's one area I would want it to simplify. Like a one-click setup for POC purposes with defaults. Also, auto-recommendations like optimizing, cost savings, etc., could be on par with others. The initial setup was a bit complex considering my novice experience with ScyllaDB.

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

I realized better throughput and minimal latency with ScyllaDB. It improved scalability and performance bottlenecks, leading to faster analytics and more reliable monitoring.

  ### 6. High-Performance with Cost Efficiency, Yet Needs Better Monitoring Support

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sivaguru Jeganatharaja J. | SYstem Engineer, Marketing and Advertising, Enterprise (> 1000 emp.)

**Reviewed Date:** March 13, 2026

**What do you like best about ScyllaDB?**

I like ScyllaDB for its significant cost savings and compatibility with Cassandra. The operational simplicity and robust ecosystem make it efficient to use. I value the high performance on fewer nodes, which reduces infrastructure costs due to CPU optimization and the ability to work with smaller clusters. The auto-tuning and self-optimization features help cut down on manual DBA overhead. I also appreciate the strong community and OEM support, which reduce downtime risks and facilitate adoption across production environments. Additionally, I found the initial setup to be very easy, especially with managed services, and the process is familiar for Cassandra users but simplified for new users, particularly with automated tuning scripts.

**What do you dislike about ScyllaDB?**

The learning curve around the shard-per-core architecture and tuning is steep for new team members who are not familiar with it. Monitoring integration and developer SDK still lag behind other databases like Cassandra. Although ScyllaDB's native monitoring stack with Prometheus and Grafana works well, it requires manual setup and configuration compared to managed DB services like Azure and AWS, and using popular observability tools like New Relic or DataDog with pre-built alerting templates for common failures would be much better than having to write numerous queries in Prometheus.

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

ScyllaDB helps me overcome scaling bottlenecks, reduce high operational costs, and manage data-intensive applications. Its high performance on fewer nodes optimizes CPU use, saving infrastructure costs. Auto-tuning reduces DBA overhead, while strong community and OEM support minimize downtime risks.

  ### 7. Solid Database Choice for Cost-Conscious Projects

**Rating:** 3.0/5.0 stars

**Reviewed by:** Taniya S. | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 12, 2026

**What do you like best about ScyllaDB?**

I love how the ScyllaDB community is rising right now. I also love how they have a lower cost, especially as a startup or small organization where we are very cost stringent and expect a lot more features from database systems. The initial setup of ScyllaDB was very easy for me. The documentation is great to refer to, and I just created a cluster and deployed it on ScyllaDB Cloud easily.

**What do you dislike about ScyllaDB?**

Right now, it's a simple database implementation I have done, and, we still have to migrate. We have the backup data from Supabase, and, we have to implement it yet on ScyllaDB. So I think I would need time to give a better answer for that.

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

I expect ScyllaDB to resolve low latency and reliability issues for my global ranking portal, where contributors can connect and recruiters can find top talent. It offers all essential database features needed for the project.

  ### 8. Efficient DB with High Performance, Minor Learning Curve

**Rating:** 4.0/5.0 stars

**Reviewed by:** Vinayak M. | Associate Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** March 12, 2026

**What do you like best about ScyllaDB?**

I like ScyllaDB's performance-oriented architecture and its compatibility with existing Cassandra tooling, which makes it efficient and scalable. Its focus on efficiency and scalability stands out as key strengths for me. I appreciate how it allows for familiar APIs and workflows to be reused without major changes during evaluations. It's great for evaluating system disparities, ensuring low latency and predictable behavior. Its efficient use of underlying hardware and ease of integration into distributed data architectures needing to grow while maintaining consistent performance makes it valuable.

**What do you dislike about ScyllaDB?**

One idea could be, the initial learning curve, especially for people who are new to the distributed database or performance tuning concepts. Some configurations could use some work on that. And establish clearer guidance.

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

ScyllaDB addresses high throughput and low latency challenges, maintaining predictable performance at scale. Its performance-oriented architecture and compatibility with existing Cassandra tooling enhance efficiency and scalability, helping us evaluate system disparities and fit into scalable distributed data architectures.

  ### 9. High performance distributed database with scaling

**Rating:** 4.5/5.0 stars

**Reviewed by:** Rajiv K. | Product Owner - Technology Strategy and AI Integration, Enterprise (> 1000 emp.)

**Reviewed Date:** March 11, 2025

**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.

**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.

**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.

  ### 10. Scalable High Performance with Low Latency

**Rating:** 4.5/5.0 stars

**Reviewed by:** dharshini p. | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 12, 2026

**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.

**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.

**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.


## ScyllaDB Discussions
  - [Is ScyllaDB free?](https://www.g2.com/discussions/is-scylladb-free) - 1 comment, 1 upvote
  - [How does ScyllaDB handle sharding and replication?](https://www.g2.com/discussions/how-does-scylladb-handle-sharding-and-replication) - 1 comment, 1 upvote
  - [What are the main tradeoffs when switching to ScyllaDB?](https://www.g2.com/discussions/what-are-the-main-tradeoffs-when-switching-to-scylladb) - 1 comment, 1 upvote
  - [Why is ScyllaDB faster than alternatives?](https://www.g2.com/discussions/why-is-scylladb-faster-than-alternatives) - 1 comment, 1 upvote
  - [What are the ideal use cases for ScyllaDB?](https://www.g2.com/discussions/what-are-the-ideal-use-cases-for-scylladb) - 1 comment, 1 upvote

- [View ScyllaDB pricing details and edition comparison](https://www.g2.com/products/scylladb/reviews/scylladb-review-7719905?section=pricing&secure%5Bexpires_at%5D=2026-07-16+06%3A31%3A38+-0500&secure%5Bsession_id%5D=eae208d2-fcfd-4cf8-b49d-6821632ff35e&secure%5Btoken%5D=4b3edf01f0e23bf3fad2499a58c5fecdac376f983e550c76a151fde11887d38e&format=llm_user)
## ScyllaDB Integrations
  - [Apache Kafka](https://www.g2.com/products/apache-kafka/reviews)
  - [AWS Lambda](https://www.g2.com/products/aws-lambda/reviews)
  - [Data Studio](https://www.g2.com/products/data-studio/reviews)
  - [Elasticsearch](https://www.g2.com/products/elastic-elasticsearch/reviews)
  - [Kpow for Apache Kafka®](https://www.g2.com/products/kpow-for-apache-kafka/reviews)
  - [Nestjs](https://www.g2.com/products/nestjs/reviews)
  - [OpenJDK 8 (Java 8) on Ubuntu 18](https://www.g2.com/products/openjdk-8-java-8-on-ubuntu-18/reviews)
  - [OpenJDK Java Machine for Ubuntu 20.04](https://www.g2.com/products/openjdk-java-machine-for-ubuntu-20-04/reviews)
  - [Python](https://www.g2.com/products/python/reviews)
  - [Workato](https://www.g2.com/products/workato/reviews)

## ScyllaDB Features
**Data Management**
- Data Model
- Data Types

**Storage**
- Data Storage Method

**Configuration**
- Application Performance
- Orchestration
- Database Monitoring
- Anomaly Detection
- Network Security

**Availability**
- Auto Sharding
- Auto Recovery
- Data Replication

**Scalability**
- Database Scalability
- Auto Sharding

**Database Administration**
- Provisioning
- Governance
- Auditing

**Performance **
- Integrated Cache

**Security**
- Order Preserving Encryption

**Availability**
- Scalability
- Backup
- Archiving
- Indexing

**Security**
- Data Masking
- Authentication And Single Sign-On
- Data Anonymization

**Security**
- Role-Based Authorization
- Authentication
- Audit Logs
- Encryption

**Support**
- Data Types Support
- Multi model Database Support

**Data Management**
- Data Replication
- Advanced Data Analytics

**Support**
- Multi-Model

**Agentic AI - Wide Column Database**
- Decision Making

**Database Features**
- Storage
- Availability
- Stability
- Scalability
- Security
- Data Manipulation
- Query Language

## Top ScyllaDB Alternatives
  - [Couchbase](https://www.g2.com/products/couchbase/reviews) - 4.3/5.0 (143 reviews)
  - [Cassandra](https://www.g2.com/products/cassandra/reviews) - 4.1/5.0 (33 reviews)
  - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) - 4.4/5.0 (498 reviews)

