Cassandra vs MarkLogic comparison

Apache and Progress Software are both solutions in the NoSQL Databases category. Apache is ranked #6 with an average rating of 8.5, while Progress Software is ranked #8 with an average rating of 8.1. Apache holds a 8.3% mindshare in ND, compared to Progress Software’s 2.8% 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

3,866 Views
2,436 Comparison Views

92% willing to recommend

MarkLogic

Read 15 MarkLogic reviews

1,269 Views
1,142 Comparison Views

100% willing to recommend

Cassandra

MarkLogic

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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: April 2026).

Buyer's Guide

Cassandra vs. MarkLogic

April 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

Cassandra

Ranking in NoSQL Databases

6th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

Vector Databases (12th)

MarkLogic

Ranking in NoSQL Databases

8th

Average Rating

8.4

Reviews Sentiment

5.7

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 Cassandra is 8.3%, down from 10.6% compared to the previous year. The mindshare of MarkLogic is 2.8%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	8.3%
MarkLogic	2.8%
Other	88.9%

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.

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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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Quotes from Members

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

Pros

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

"A consistent solution."

"I'd rate the solution ten out of ten."

"Setup was very straightforward."

"Since I haven't had years of experience with it, it's still new to me. One valuable feature is its distribution, so I can run it partly in the cloud and part on-prem. That's a feature I'd like to use but haven't yet because we're trying to move to Azure. I don't know if or when that will happen. Ideally, we'd have it distributed over the cloud and on-prem simultaneously, so if something happens to our on-prem, we can keep going in the cloud, like a pay-as-you-go model with Azure."

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

"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."

"I am satisfied with the performance."

More Cassandra pros

"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 very positive impact on our client and our organization because it is a multi-model database, we can handle multiple data types, and a single platform takes all the data from all sources, reducing our dependency on multiple systems."

"MarkLogic made our process smoother and faster, enhancing collaboration and efficiency between teams."

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

"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 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."

More MarkLogic pros

Cons

"The initial setup of Cassandra can be difficult in the configuration. There might be a need to have assistance. The implementation process can six months for connecting to certain databases."

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

"If you have a requirement of aggregation and joints, Cassandra doesn't support a solution that can give the aggregation."

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

"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."

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

"One of the issues with the solution is that you cannot drop write like you're able to in MongoDB and MySQL, where you can join tables."

"Batching bulk data can cause performance issues."

More Cassandra cons

"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."

"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."

"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."

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

"The spreadsheet capabilities could be improved."

"The only reason I would not give it a ten is because of the learning curve and some limitations in tooling and integrations."

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

More MarkLogic cons

Pricing and Cost Advice

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

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

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

"We pay for a license."

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

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

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

Computer Software Company

Construction Company

Educational Organization

29%

Financial Services Firm

11%

Transportation Company

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	3
Large Enterprise	10

Questions from the Community

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...

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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...

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What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...

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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.

See all answers

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 ...

See all answers

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...

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 8% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 8% of the time

DataStax Enterprise vs Cassandra

Compared 5% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Cloudera Distribution for Hadoop vs Cassandra

Compared 5% of the time

More Cassandra Competitors

MongoDB Enterprise Advanced vs MarkLogic

Compared 20% of the time

Cloudera Distribution for Hadoop vs MarkLogic

Compared 18% of the time

Neo4j Graph Database vs MarkLogic

Compared 12% of the time

DataStax Enterprise vs MarkLogic

Compared 10% of the time

Microsoft Azure Cosmos DB vs MarkLogic

Compared 8% of the time

More MarkLogic Competitors

Product Reports

Buyer's Guide

Cassandra

June 2026

Download Cassandra product report

Buyer's Guide

MarkLogic

May 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 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

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

April 2026

Free Report: Cassandra vs. MarkLogic

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