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: September 2026).

MarkLogic vs. ScyllaDB

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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

MarkLogic

Ranking in NoSQL Databases

7th

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

8th

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the NoSQL Databases category, the mindshare of MarkLogic is 2.9%, up from 1.7% compared to the previous year. The mindshare of ScyllaDB is 5.7%, down from 9.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MarkLogic	2.9%
ScyllaDB	5.7%
Other	91.4%

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

"We have definitely seen a return on investment, as the end customer really felt that things are going fast and they are able to get the data very fast, retrieve it, change it, transform it, and merge or discard many things they want to do in MarkLogic, saving three or four hours daily because we have enabled them to have the data in real time instead of waiting for another day."

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

"MarkLogic's greatest asset is its strong engineering foundation. It was specifically designed with search capabilities in mind, and the developers placed a great emphasis on ensuring the quality of the indexing and all subsequent layers that were added."

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

"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 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."

"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

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

"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."

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

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

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

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

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

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

More ScyllaDB pros

Cons

"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."

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

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

"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."

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

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

"There are several things I have observed regarding MarkLogic's improvement areas."

"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."

More MarkLogic cons

"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."

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

"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."

"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."

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

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

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

"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."

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."

"It's a bit expensive."

"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 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

20%

Program Development Consultancy

15%

Transportation Company

12%

Financial Services Firm

Outsourcing Company

15%

Comms Service Provider

10%

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	7

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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Compared 13% of the time

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Compared 10% of the time

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Compared 9% of the time

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Compared 6% of the time

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Product Reports

MarkLogic

Download MarkLogic product report

Download ScyllaDB product report

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

MarkLogic vs. ScyllaDB