Cassandra vs MarkLogic comparison

Apache and Progress Software are both solutions in the NoSQL Databases category. Apache is ranked #7 with an average rating of 8.1, while Progress Software is ranked #13 with an average rating of 8.0. Apache holds a 7.8% mindshare in ND, compared to Progress Software’s 2.3% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of Progress Software users who would recommend it.

Cassandra

Read 25 Cassandra reviews

2,478 Views
1,611 Comparison Views

92% willing to recommend

MarkLogic

Read 9 MarkLogic reviews

547 Views
476 Comparison Views

100% willing to recommend

Cassandra

MarkLogic

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 7, 2025

Cassandra and MarkLogic are leading database solutions, competing in the database technology category. Cassandra seems to have the upper hand in scalability and cost-effectiveness, while MarkLogic offers superior data integration and management features.

Features: Cassandra's strengths lie in scalability, fault tolerance, and real-time processing, which suit distributed systems handling large datasets. MarkLogic offers advanced querying capabilities, support for semantics, and multi-model data integration, providing an edge for complex data operations.

Ease of Deployment and Customer Service: MarkLogic offers flexible deployment options with robust customer support, simplifying integration into complex IT environments. Cassandra, with its open-source roots, presents more deployment challenges but benefits from a community-driven support network, while MarkLogic’s structured support can simplify implementations.

Pricing and ROI: Cassandra offers lower initial costs due to its open-source model, providing a cost-effective scalable solution. MarkLogic, despite higher setup costs, emphasizes data security and management, leading to potentially higher ROI for enterprises requiring sophisticated operations and comprehensive security.

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

Buyer's Guide

Cassandra vs. MarkLogic

March 2026

Download the complete report

Helped 884,976 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

Cassandra

Ranking in NoSQL Databases

7th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Vector Databases (14th)

MarkLogic

Ranking in NoSQL Databases

13th

Average Rating

8.4

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of Cassandra is 7.8%, down from 11.5% compared to the previous year. The mindshare of MarkLogic is 2.3%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	7.8%
MarkLogic	2.3%
Other	89.9%

NoSQL Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

Read full review

Varuns Ug

senior software developer at NIT

Unified search and storage have simplified handling of semi-structured data and complex queries

Regarding improvement, I have identified a few areas. MarkLogic is quite powerful, but some areas need enhancement. One thing I noticed was the learning curve. Compared to commonly used databases such as MySQL or even MongoDB, MarkLogic requires understanding concepts such as XQuery, server-side JavaScript, and its internal architecture, which can take time for new developers. Another area is community and ecosystem support; it is not as widely adopted as other databases, so finding resources can be challenging. Third-party integration can be relatively harder. Additionally, from what I have observed, cost and licensing can be a consideration, especially for smaller teams or startups compared to open-source alternatives. Finally, while it is very strong for search and document-based use cases, it might feel excessive for simpler CRUD-based operations, where a traditional relational or lightweight NoSQL database would work better. Documentation is an area that could improve. Learning resources and documentation could be enhanced, as the official documentation is detailed but can sometimes feel dense for beginners, especially when getting started with concepts such as indexing or writing queries in XQuery. Additionally, debugging and troubleshooting can be slightly challenging compared to more mainstream databases, mainly because the ecosystem is smaller and there are fewer community discussions and examples available. The developer experience could also be improved; setting up, experimenting, and integrating MarkLogic in an existing setup felt less straightforward compared to commonly used databases. I think improving onboarding, simplifying documentation, and expanding community support could make it even more developer-friendly in the future.

Read full review

Quotes from Members

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

Pros

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."

"The solution's database capabilities are very good."

"Ability to achieve write speeds 10k tps: Compared to existing, it is 300% percent higher."

"Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there."

"The most valuable feature for us is the technical evaluation, it's the best technology."

"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."

"Setup was very straightforward."

"The technical evaluation is very good."

More Cassandra pros

"MarkLogic is perfectly suited for data lakes where we dump our data, transform our data, and store it back."

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

"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."

"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."

"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."

"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."

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

Cons

"Interface is not user friendly."

"We have had stability issues including out of memory issues and crashes with earlier versions of the product."

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProxy, which should better handle consumption for high-level concurrency."

"The disc space is lacking. You need to free it up as you are working."

"The solution doesn't have joins between tables so you need other tools for that."

"We found some issues with the batch inserts when the data volume is large."

More Cassandra 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."

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

"The spreadsheet capabilities could be improved."

"I chose nine because the technology or the code that I am writing right now is in XQuery and JavaScript, so it would be better if MarkLogic allowed Python code to be executed on MarkLogic server."

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

"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."

Pricing and Cost Advice

"We pay for a license."

"I don't have the specific numbers on pricing, but it was fairly priced."

"We are using the open-source version of Cassandra, the solution is free."

"I use the tool's open-source version."

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

"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."

See which vendors are best for you

Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.

See recommendations

884,976 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Retailer

Educational Organization

21%

Financial Services Firm

13%

Manufacturing Company

10%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	5

Questions from the Community

What do you like most about Cassandra?

The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-ti...

See all answers

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

See all answers

What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

See all answers

What is your experience regarding pricing and costs for MarkLogic?

Regarding my experience with pricing, setup cost, and licensing, I find it quite high compared to other things, but I believe it is justified.

See all answers

What needs improvement with MarkLogic?

As for areas where MarkLogic can be improved, nothing else comes to mind. I have been using MarkLogic for seven years, and many improvements have already been addressed. I do not recall any additio...

See all answers

What is your primary use case for MarkLogic?

My main use case for MarkLogic is data development. We have a banking type of data, so we used to convert it to PDF or use some for applications we were running. A quick, specific example of how I ...

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 10% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 10% of the time

Couchbase Enterprise vs Cassandra

Compared 6% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Oracle NoSQL vs Cassandra

Compared 5% of the time

More Cassandra Competitors

MongoDB Enterprise Advanced vs MarkLogic

Compared 22% of the time

Neo4j Graph Database vs MarkLogic

Compared 16% of the time

Cloudera Distribution for Hadoop vs MarkLogic

Compared 12% of the time

DataStax Enterprise vs MarkLogic

Compared 11% of the time

Microsoft Azure Cosmos DB vs MarkLogic

Compared 11% of the time

More MarkLogic Competitors

Product Reports

Buyer's Guide

Cassandra

March 2026

Download Cassandra product report

Buyer's Guide

MarkLogic

March 2026

Download MarkLogic product report

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

MarkLogic is an operational and transactional Enterprise NoSQL database that is designed to integrate, store, manage and search SON and XML documents and semantic data (RDF Triples).

Progress Software

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota

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

Buyer's Guide

Cassandra vs. MarkLogic

March 2026

Free Report: Cassandra vs. MarkLogic

Find out what your peers are saying about Cassandra vs. MarkLogic and other solutions. Updated: March 2026.

DOWNLOAD NOW

884,976 professionals have used our research since 2012.

See our Cassandra vs. MarkLogic report.

See our list of best NoSQL Databases vendors.

We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.