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: June 2026).

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MarkLogic vs. ScyllaDB

June 2026

Helped 900,644 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

8.4

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

ScyllaDB

Ranking in NoSQL Databases

5th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the NoSQL Databases category, the mindshare of MarkLogic is 2.8%, up from 1.4% compared to the previous year. The mindshare of ScyllaDB is 6.2%, 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	6.2%
MarkLogic	2.8%
Other	91.0%

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

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

"For example, earlier search operations were slow and less flexible, but after using MarkLogic, we delivered near real-time results, improving both system efficiency and user satisfaction."

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

"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."

"Using MarkLogic has had a significant positive impact on our organization, especially in terms of performance, flexibility, and reliability."

"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 as I think company-wise, it is one of the go-to tools for validating the jobs we are running."

"Overall, it reduced data transformation efforts, simplified architecture, and made it easier to build richer and more connected database models."

More MarkLogic pros

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

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

"The product's most valuable features are efficiency and reliability."

"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."

"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 database is easy to use, fast, and accessible for applications because the API is straightforward."

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

More ScyllaDB pros

Cons

"While MarkLogic itself is powerful, it can be improved in terms of ease of usage, cost, and the learning curve."

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

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

"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."

"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."

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

"Regarding improvement, I have identified a few areas. MarkLogic is quite powerful, but some areas need enhancement."

"The spreadsheet capabilities could be improved."

More MarkLogic cons

"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."

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

"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."

"The documentation is not well established for new developers."

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

"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."

"ScyllaDB needs to improve its handling of transactions."

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 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."

"It's free."

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Top Industries

By visitors reading reviews

Educational Organization

26%

Transportation Company

13%

Financial Services Firm

10%

Construction Company

Outsourcing Company

12%

Financial Services Firm

Comms Service Provider

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?

Regarding pricing, the setup cost of MarkLogic is quite high. It requires a larger budget, depending on data size, with larger data sizes demanding more clusters, directly influencing cost.

What needs improvement with MarkLogic?

I wish I had known one thing earlier about MarkLogic, specifically regarding indexing. Initially, our focus was mostly on ingestion and transformation, and things seemed fine when the database was ...

What is your primary use case for MarkLogic?

MarkLogic has been instrumental in various data-related tasks throughout my projects. When I joined a project, I started using MarkLogic for integrating data from multiple legacy systems. Since the...

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

June 2026

Download ScyllaDB product report

May 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