DataStax Enterprise vs ScyllaDB comparison

IBM and ScyllaDB are both solutions in the NoSQL Databases category. IBM is ranked #19, while ScyllaDB is ranked #3 with an average rating of 7.9. IBM holds a 2.3% mindshare in ND, compared to ScyllaDB’s 7.8% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 91% of ScyllaDB users who would recommend it.

DataStax Enterprise

Read 1 DataStax Enterprise review

635 Views
298 Comparison Views

100% willing to recommend

ScyllaDB

Read 12 ScyllaDB reviews

1,921 Views
1,902 Comparison Views

91% willing to recommend

DataStax Enterprise

ScyllaDB

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Executive SummaryUpdated on Feb 8, 2026

DataStax Enterprise and ScyllaDB compete in the NoSQL database solutions category. ScyllaDB may have the upper hand for organizations prioritizing performance due to its high speed and low-latency capabilities, while DataStax Enterprise is favored for its comprehensive support and broader feature set for diverse workloads.

Features: DataStax Enterprise offers integrated analytics and search, extensive enterprise-level support, and a broader feature set for diverse workloads. ScyllaDB is known for rapid performance, efficient hardware resource usage, and scalability prioritization.

Ease of Deployment and Customer Service: ScyllaDB offers a simplified deployment process with automatic sharding and easy scaling. DataStax Enterprise provides a more complex deployment process, balancing it with extensive support and managed services. In terms of customer service, DataStax has a structured support environment, while ScyllaDB reduces intensive support interactions by simplifying technical configurations.

Pricing and ROI: DataStax Enterprise involves higher setup costs due to its premium support and feature-rich solutions, potentially yielding higher ROI in complex environments. ScyllaDB is cost-effective for scalability, with lower setup costs offering competitive performance gains that appeal to businesses seeking immediate cost savings and high throughput.

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NoSQL Databases

February 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

DataStax Enterprise

Ranking in NoSQL Databases

19th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Vector Databases (19th)

ScyllaDB

Ranking in NoSQL Databases

3rd

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the NoSQL Databases category, the mindshare of DataStax Enterprise is 2.3%, up from 0.8% compared to the previous year. The mindshare of ScyllaDB is 7.8%, down from 10.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
ScyllaDB	7.8%
DataStax Enterprise	2.3%
Other	89.9%

NoSQL Databases

Featured Reviews

Suzanne Kimono

Senior Software Engineer at Deloitte

Continuous data access has ensured high uptime and has supported real-time transactional processing

The best features DataStax Enterprise offers include scaling, speed of data access, and ease of use for those familiar with traditional SQL. The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. It enables us to maintain our uptime, which is very crucial for our clients. DataStax Enterprise has positively impacted my organization by providing the ability to have our services up and running even with a total outage at one of our data centers. There is no need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on. I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great.

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Manikandan Gunasekaran

Director of Engineering at Ola

Reliable data management with great reliability and performance

From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction. Additionally, ticketing and support systems could be improved due to the time it takes to get answers. There's also an issue with compatibility when attempting to switch back from the enterprise to the community version.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great."

"Firstly, if I update something, it's most likely to finish within milliseconds."

"ScyllaDB is very fast, and I can use it for so many things."

"It is lightweight, and it requires less infrastructure."

"The documentation is good. It integrates easily with our existing data infrastructure."

"ScyllaDB allows fine-tuning of the table structure. Speed is probably the most critical factor because we perform a lot of heavy data ingestion. One of its core features is its ability to handle high volumes and maintain speed when accessing data. Additionally, high availability and partitioning are built-in features of ScyllaDB."

"ScyllaDB is fast and reliable. It has good performance."

"The best features of ScyllaDB are how it synchronizes data and its failover system. There's a unique formula to decide the number of nodes you need and the minimum required, which I find helpful. It also offers encryption and supports APIs, making it great for distributed systems and scaling databases across different regions. While it's easy to use, having prior experience helps configure it properly. There are many configurations; if you don't understand them, you might mess up the design. So, understanding your system's needs, like whether it requires more read or write operations, is crucial for setting up the correct configuration."

"The performance and scalability are good, and we hardly see any major issues with ScyllaDB."

More ScyllaDB pros

Cons

"If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this."

"The documentation of Scylla is an area with shortcomings and needs to be improved."

"The product needs to add more features and improve the response time of the support team."

"Some of the regular commands in NoSQL do not work."

"We faced several challenges while integrating ScyllaDB into our AWS environment. One common issue was that a security port wasn’t opened on one node, preventingdata synchronization across clusters. We noticed the data wasn’t syncing correctly when we saw different record counts in other regions. After investigating, we found that the port was closed in one AWS region. Once we opened the port, the data synchronization across all nodes resumed as expected."

"It seems we have better options available. So probably don't go for ScyllaDB. The reason is, first, it's very high. It's not as straightforward as, like, Postgres or ClickHouse to set up. It requires a complex setup."

"If you don't have the best computing resources, then it's not easy to set up. In such cases, we have to run ScyllaDB in developer mode."

"From a sales pitch standpoint, it needs to deliver on promises of better ROI and compaction."

"ScyllaDB needs to improve its handling of transactions."

More ScyllaDB cons

Pricing and Cost Advice

Information not available

"It is an expensive tool compared to its competitor."

"The paid version of ScyllaDB is not that expensive. The main advantage of the paid version is direct support from the ScyllaDB team, which can resolve issues faster—typically within a day, compared to two to three days with the free version. The paid version also offers better guidance and support, while the free version has good documentation and is more high-level. I’d rate their support team nine out of ten because of the quick responses from their community."

"It's free."

"I believe that there is a yearly licensing cost and that it's expensive."

"It's a bit expensive."

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Top Industries

By visitors reading reviews

Energy/Utilities Company

12%

Financial Services Firm

12%

Computer Software Company

12%

Retailer

12%

Financial Services Firm

10%

Comms Service Provider

Computer Software Company

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

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What is your experience regarding pricing and costs for Scylla?

The enterprise version comes with a cost of about $300,000 per year, however, we did not experience the promised compaction benefits.

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What needs improvement with Scylla?

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What is your primary use case for Scylla?

We dump a lot of our data, such as every entry created with respect to when a user rides a scooter, every record gets updated to ScyllaDB. It is used as a single source of truth and it manages mass...

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Compared 15% of the time

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Compared 10% of the time

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Compared 8% of the time

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Compared 7% of the time

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Compared 17% of the time

MongoDB Enterprise Advanced vs ScyllaDB

Compared 13% of the time

Apache HBase vs ScyllaDB

Compared 11% of the time

Aerospike Database vs ScyllaDB

Compared 10% of the time

Neo4j Graph Database vs ScyllaDB

Compared 6% of the time

More ScyllaDB Competitors

Product Reports

Buyer's Guide

NoSQL Databases

February 2026

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Buyer's Guide

ScyllaDB

January 2026

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Overview

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

IBM

ScyllaDB is an open-source, distributed NoSQL wide-column datastore (a highly scalable NoSQL database), known for its compatibility with Apache Cassandra, and for supporting the same protocols as Cassandra (CQL and Thrift) and the same file formats (SSTable). ScyllaDB is designed for high throughput and low latency, making it suitable for data-intensive applications. Its architecture allows it to deliver remarkable performance on a massive scale, utilizing modern multi-core servers to their fullest potential

ScyllaDB utilizes a similar architecture, data format, and query language as Apache Cassandra, providing compatibility while dramatically improving speed and scalability.

The key advantages of ScyllaDB include its rewritten C++ implementation that eliminates Cassandra's expensive Java garbage collection pauses, built-in caching for fast access to frequently used data, and shard-aware drivers for direct routing of requests. This enables it to fully leverage modern multi-core servers for massive parallelism. The community is active and the latest major release, ScyllaDB Enterprise 2023.1.0 LTS, incorporates over 5,000 code commits focused on enhancing capabilities.

ScyllaDB supports wide-column data modeling for fast read performance at scale. It includes integrated monitoring and management tools to track database health and performance. For organizations looking to boost speed and reduce costs for NoSQL workloads, ScyllaDB offers a drop-in replacement for Cassandra that delivers lower latency, higher throughput, and increased scalability with fewer nodes. Its seamless migration path makes switching from Cassandra seamless, requiring minimal code changes.

ScyllaDB

Sample Customers

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

IBM, Investing.com, mParticle, Comcast, GE, Fanatics, Ola, CERN, adgear, Samsung

Find out what your peers are saying about MongoDB, Microsoft, ScyllaDB and others in NoSQL Databases. Updated: February 2026.

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