MarkLogic vs ScyllaDB comparison

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MarkLogic

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Executive SummaryUpdated on Jun 3, 2026

MarkLogic and ScyllaDB compete in the data storage and processing category. MarkLogic seems to have the upper hand due to its comprehensive feature set and strong customer support, whereas ScyllaDB is recognized for its speed and cost-effectiveness.

Features: MarkLogic's notable features include its powerful built-in search and indexing capabilities, support for XML and JSON formats, and a flexible document model allowing seamless integration of structured and unstructured data. ScyllaDB offers high-speed data access, built-in partitioning for distributed systems, and efficient synchronization, making it suitable for large-scale deployments.

Room for Improvement: MarkLogic could enhance its ecosystem with modern debugging tools, better integration with platforms like VS Code, and comprehensive documentation. It also lacks native Python support. ScyllaDB needs improvement in deletion processing, documentation for new users, and optimizing transaction handling for better server performance.

Ease of Deployment and Customer Service: MarkLogic delivers versatility with deployment available on public and private clouds or on-premises, coupled with highly responsive customer support essential for complex issues. ScyllaDB offers hybrid cloud deployment yet demands careful attention during initial setup. While both provide adequate support, MarkLogic's support is reputed for its quality and responsiveness.

Pricing and ROI: MarkLogic's pricing is considered high, reflecting its enterprise-grade features, which might be a barrier for smaller teams, but comes with significant ROI due to efficiency and maintenance savings. ScyllaDB is generally less expensive and offers a paid version with support, providing guidance that can be cost-effective for larger operations desiring swift issue resolution, albeit at potentially higher support costs.

To learn more, read our detailed MarkLogic vs. ScyllaDB Report (Updated: August 2026).

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MarkLogic vs. ScyllaDB

August 2026

Helped 909,647 peers since 2012

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

MarkLogic

Ranking in NoSQL Databases

8th

Average Rating

8.6

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

ScyllaDB

Ranking in NoSQL Databases

7th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the NoSQL Databases category, the mindshare of MarkLogic is 2.9%, up from 1.8% compared to the previous year. The mindshare of ScyllaDB is 5.9%, down from 10.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
ScyllaDB	5.9%
MarkLogic	2.9%
Other	91.2%

NoSQL Databases

Featured Reviews

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

Handling hierarchical insurance data has improved ETL workflows and still needs better integration

There are several things I have observed regarding MarkLogic's improvement areas. One challenge I notice is the learning curve and setup; it can be complex for someone new, especially when integrating with other systems or setting up indexing strategies for large datasets. I occasionally spend extra time fine-tuning indexes or query performance for really large documents. Another observation concerns tooling and ecosystem support, as it does not feel as rich as mainstream databases such as Hive or SQL servers in terms of connectors and integration or community resources. Sometimes I need to build custom scripts to bridge these gaps. Finally, monitoring and debugging distributed queries can be tricky; while it has built-in tools, deeper performance profiling or tracing is not always intuitive. Overall, these are not deal-breakers, but improvements in onboarding, ecosystem connectors, and monitoring would enhance the experience.

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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

"MarkLogic has positively impacted my organization by making everything quick and fast, and I believe that is a major change we have seen here."

"We moved to MarkLogic and created the API using JavaScript server-side language, and we saw almost 60% improvement in the speed of the search."

"MarkLogic has positively impacted my organization by making our job easier because we can store a large amount of data, and the built-in search feature is great, including semantic data management."

"MarkLogic has had a tangible positive impact on our organization."

"The rules can show us if there are missing items, like titles, and we can add them in to ensure everything is filled and makes sense and there are no missing details."

"After moving that into MarkLogic pipelines, the same process became almost near real-time or at least reduced to minutes in most cases."

"MarkLogic has impacted my organization positively because we have seen efficient results."

"MarkLogic has positively impacted my organization as I think company-wise, it is one of the go-to tools for validating the jobs we are running."

More MarkLogic pros

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

"Scalability in performance is good."

"I like how fast it is to query data from the ScyllaDB node!"

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

"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 aspects of Scylla are good, as always... A good point about Scylla is that it can be used extensively."

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

More ScyllaDB pros

Cons

"Scalability-wise, I think it is acceptable. We have to add a lot of cost when we want to scale it because it is really hard to buy a new cluster."

"When I started with MarkLogic, I found that its learning curve and developer experience are not very comfortable for beginners."

"However, there is very limited documentation about MarkLogic's AI capabilities."

"One of the most common requests is to improve the user interface of the database. While it is primarily a database, there are other databases available that offer more user-friendly interfaces. The UI is good for developers but not for regular users. More visuals would be beneficial."

"One area where I feel MarkLogic can improve is the learning curve."

"I would say the features can be improved, as maybe the UI could be a little better."

"The learning curve for new users or developers on MarkLogic is a bit tough at first, but afterwards it is really easy to understand for developers new to MarkLogic."

"MarkLogic's scalability is very bad. In production, when you get to know that your data is increasing and you need to add one more node, that is not easy and not straightforward."

More MarkLogic cons

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

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

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

"We've had occasional performance challenges that required resource adjustments or optimizations in our interaction with the platform."

"Data export, along with how we can purchase the data periodically, needs to be improved so that the storage is within control. Then, we could optimize it even better."

"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."

"Support and the availability of support need improvement. I would give them a six out of ten."

More ScyllaDB cons

Pricing and Cost Advice

"MarkLogic is a pricey option, but there are some advantages to its pricing structure. For medium-sized clients or departments within larger companies, it is possible to obtain a license for one or two nodes for less than a hundred thousand dollars. Additionally, if you only need to deploy a single node, you can do so for under fifty thousand dollars. This is in contrast to other high-quality software options that are only accessible to larger businesses, where the starting price can be upwards of two hundred thousand dollars."

"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."

"It's a bit expensive."

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

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

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Top Industries

By visitors reading reviews

Educational Organization

23%

Transportation Company

13%

Program Development Consultancy

10%

Financial Services Firm

Outsourcing Company

14%

Comms Service Provider

Financial Services Firm

Transportation Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	11

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

Questions from the Community

What is your experience regarding pricing and costs for MarkLogic?

As far as I know, I am not directly associated with pricing, setup cost, and licensing, but MarkLogic is a bit more expensive than other technologies available. However, the support is really good,...

What needs improvement with MarkLogic?

MarkLogic can be improved by introducing a lot of languages to querying. Although I think it is self-sufficient if you know JavaScript and XQuery, for new people who want to onboard into MarkLogic,...

What is your primary use case for MarkLogic?

MarkLogic serves as our enterprise-level database with multiple applications. We have numerous source systems that dump data into MarkLogic. DHF flows manage transformation, harmonization, mapping,...

What is your experience regarding pricing and costs for Scylla?

From what I’ve seen (and experienced), ScyllaDB pricing is very dependent on how you deploy it, and that’s where most of the confusion comes from.

What needs improvement with Scylla?

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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Product Reports

Download MarkLogic product report

MarkLogic

July 2026

Download ScyllaDB product report

July 2026

Overview

MarkLogic offers robust capabilities for data storage and retrieval, supporting multiple formats like XML and JSON. Its built-in search and indexing facilitate rapid data querying, making it efficient for industries demanding quick data management solutions.

Boasting flexibility in data management, MarkLogic supports XML and JSON formats without strict schemas, integrating storage and search within a single platform to reduce complexity. This configuration enhances data handling, performance, and development speed. Industries like publishing, insurance, and healthcare benefit from its real-time processing, enabling tasks that range from creating PDFs to complex backend services. While users appreciate these capabilities, suggestions include interface modernization and better integration with tools like VS Code and IntelliJ.

What are MarkLogic's standout features?

Built-in Search and Indexing: Facilitates rapid data querying and retrieval.
Multiple Data Format Support: Offers flexibility with XML and JSON without strict schemas.
Integrated Storage and Search: Combines functionalities to minimize system complexity.
ACID Transactions: Enhances reliability and data integrity.

What benefits can be expected from MarkLogic?

Improved Efficiency: Streamlines data handling with reduced complexity.
Enhanced Performance: Supports faster development and system responsiveness.
Flexibility in Data Management: Handles multiple formats effortlessly.
Scalable Solution: Ensures performance across multiple nodes.

MarkLogic sees extensive use in publishing, insurance, and healthcare, where it aids in real-time processing, querying, and transformation of data. Its indexing and search capabilities allow efficient management of semi-structured data, smoothing tasks from document creation to backend solutions, without necessitating extensive migrations.

Progress Software

ScyllaDB is known for its remarkable speed, efficiency, and reliability. It operates with minimal resources, supports large data volumes, and allows for meticulous fine-tuning. Enhanced by Seastar, it offers a performance edge over Cassandra and prioritizes ease of use with robust data synchronization.

ScyllaDB stands out for its capability in high-volume data handling, making it ideal for distributed systems. It integrates easily with APIs and supports user-defined types, providing flexibility through Cassandra SDK and DynamoDB. High availability, effective partitioning, easy updates, and rapid query responses enhance its appeal for organizations dealing with real-time analytics and time-series data management. However, users have noted the complexity in setup compared to MongoDB or Postgres and have highlighted the need for improvements in areas like data export, deletion processes, and documentation. There are also challenges with transactions, support response, compatibility, and AWS integration, with some requiring custom commands which may affect universality.

What are the key features of ScyllaDB?

Exceptional Speed: Achieves high performance through Seastar technology.
Efficiency: Consumes minimal computing resources while supporting substantial data volumes.
Reliability: Offers robust failover systems and data synchronization capabilities.
Flexible Integration: Supports APIs, user-defined types, Cassandra SDK, and DynamoDB.
High Availability: Ensures continuous access and effective partitioning.

Which benefits and ROI should users look for in reviews?

Cost Efficiency: Maximizes resource utilization with minimal expense.
Performance: Provides fast data querying crucial for real-time analytics.
Scalability: Easily manages large-scale and high-volume data needs.
Security: Ensures safe and secure data storage within distributed systems.

Industries like telecommunications, advertising, mobility services, and security implement ScyllaDB for managing extensive datasets and securing real-time data access. Its scalability and efficiency make it a preferred choice for data transformation services, harmonizing complex data flows with real-time analytics needs.

Sample Customers

ALM, American Psychological Association, American Society of Agronomy, Cond_ Nast, Centers for Medicare and Medicaid Services, Institute of Engineering and Technology, JWG Group, Lagardre Active, RSuite CMS, Wiley

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