MarkLogic vs Microsoft Azure Cosmos DB comparison

Progress Software and Microsoft are both solutions in the NoSQL Databases category. Progress Software is ranked #13 with an average rating of 8.0, while Microsoft is ranked #2 with an average rating of 8.3. Progress Software holds a 2.2% mindshare in ND, compared to Microsoft’s 6.5% mindshare. Additionally, 100% of Progress Software users are willing to recommend the solution, compared to 95% of Microsoft users who would recommend it.

MarkLogic

Read 4 MarkLogic reviews

489 Views
421 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 109 Microsoft Azure Cosmos DB reviews

10,499 Views
2,205 Comparison Views

95% willing to recommend

MarkLogic

Microsoft Azure Cosmos DB

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 25, 2026

MarkLogic and Microsoft Azure Cosmos DB compete in the database solutions category. Microsoft Azure Cosmos DB seems to hold the advantage with its extensive global distribution and multi-model support.

Features: MarkLogic's built-in search capabilities and strong security measures make it an excellent choice for enterprises. It focuses on data integrity and integration. Microsoft Azure Cosmos DB stands out for scalability, global distribution, and multi-model data capabilities, offering flexibility for application development.

Ease of Deployment and Customer Service: MarkLogic offers straightforward deployment with detailed documentation and integrated support for complex data management. Microsoft Azure Cosmos DB provides seamless scalability and fast provisioning with extensive cloud integration, benefiting from superior global data redundancy options. Customer service for MarkLogic supports strong data integration, while Cosmos DB benefits from its global infrastructure resilience.

Pricing and ROI: MarkLogic requires a higher upfront setup cost but offers significant returns with its data integration and enterprise-grade features. Microsoft Azure Cosmos DB offers a more cost-effective initial setup with scalable pricing, potentially yielding better ROI for businesses with diverse requirements.

To learn more, read our detailed MarkLogic vs. Microsoft Azure Cosmos DB Report (Updated: February 2026).

Buyer's Guide

MarkLogic vs. Microsoft Azure Cosmos DB

February 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

MarkLogic

Ranking in NoSQL Databases

13th

Average Rating

8.8

Reviews Sentiment

5.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Microsoft Azure Cosmos DB

Ranking in NoSQL Databases

2nd

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

109

Ranking in other categories

Database as a Service (DBaaS) (4th), Managed NoSQL Databases (1st), Vector Databases (1st)

Mindshare comparison

As of February 2026, in the NoSQL Databases category, the mindshare of MarkLogic is 2.2%, up from 1.2% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 6.5%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
Microsoft Azure Cosmos DB	6.5%
MarkLogic	2.2%
Other	91.3%

NoSQL Databases

Featured Reviews

Dixit Singla

Staff Engineer at a tech vendor with 10,001+ employees

Search workflows have become faster for complex data while cloud-native flexibility still needs work

I think MarkLogic can be improved by providing good cloud infrastructure. Since we are in a very tech era, MarkLogic should provide good cloud infrastructure. If you look at other databases or systems like Kafka and MongoDB, they have cloud infrastructure. You do not need to worry about maintaining your own servers or provisioning your own servers. You simply log in and tell MarkLogic you want a certain number of clusters or nodes in a cluster and what cloud provider you want to use, then click okay, and they will build it for you. That is a headache with MarkLogic. Apart from that, I don't see any issues. It is a really great product.

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reviewer2724105

Senior Director of Product Management at a tech vendor with 1,001-5,000 employees

Provides super sharp latency, excellent availability, and the ability to effectively manage costs across different tenants

For integrating Microsoft Azure Cosmos DB with other Azure products or other products, there are a couple of challenges with the current system. Right now, the vectors are stored as floating-point numbers within the NoSQL document, which makes them inefficiently large. This leads to increased storage space requirements, and searching through a vast number of documents in the vector database becomes quite costly in terms of RUs. While the integration works well, the expense associated with it is relatively high. I would really like to see a reduction in costs for their vector search, as it is currently on the expensive side. The areas for improvement in Microsoft Azure Cosmos DB are vector pricing and vector indexing patterns, which are unintuitive and not well described. I would also like to see the parameters of Fleet Spaces made more powerful, as currently, it's somewhat lightweight. I believe they've made those changes intentionally to better understand the cost model. However, we would like to take a more aggressive approach in using it. One of the most frustrating aspects of Microsoft Azure Cosmos DB right now is that you can only store one vector per document. Additionally, you must specify the configuration of that vector when you create an instance of Microsoft Azure Cosmos DB. Once the database is set up, you can't change the vector configuration, which is incredibly limiting for experimentation. You want the ability to try different settings and see how they perform, as there are numerous use cases for storing more than one vector in a document. While interoperability within the vector database is acceptable—for example, I can search for vectors—I still desire a richer set of configuration options.

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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

"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'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."

"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."

"The peace of mind that Microsoft Azure Cosmos DB provides regarding global distribution is invaluable."

"Cosmos is preferred because of its speed, robustness, and utilization. We have all the merchandising information in Cosmos DB, which provides concrete and optimized data when searching for new products on the site. It is faster than other relational databases."

"Microsoft Azure Cosmos DB offers the response times needed for advanced analytics applications."

"The global synchronization feature of Azure Cosmos DB stands out as the most valuable for me."

"The dynamic autoscale or serverless model of Microsoft Azure Cosmos DB has indeed helped reduce our costs and operational effort by allowing us to scale horizontally in a straightforward manner according to our needs."

"The fact that scalability can be achieved by simply configuring availability zones is very attractive."

"Our team has found the vCore index to be one of the most valuable features. We have tokenized and vectorized our entire database and stored this data in MongoDB collections with a vCore index, which works like magic for keyword selection."

"The solution is user friendly and Microsoft's technical support is good."

More Microsoft Azure Cosmos DB pros

Cons

"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."

"The spreadsheet capabilities could be improved."

"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."

"The tool's pricing is expensive."

"Its stability can be further improved."

"It is not as easy to use as DynamoDB."

"One of the most frustrating aspects of Microsoft Azure Cosmos DB right now is that you can only store one vector per document."

"The current data analytics of Cosmos DB is inefficient for large-scale queries due to its transactional design."

"Firstly, having a local development emulator or simulator for Azure Cosmos DB would be beneficial. It would be very handy to have a Docker container that developers can use locally."

"Continuing to educate customers on how they can take better advantage of Microsoft Azure Cosmos DB without having to completely rewrite their entire application paradigm would be beneficial. They can help them understand that there are multiple options to interact with it. They do not necessarily have to start from scratch. They can refactor their existing application to be able to use it better."

"There aren't any specific areas that need improvement, but if there were a way to achieve the right cosine similarity score without extensive testing, that would be very beneficial."

More Microsoft Azure Cosmos DB 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."

"Azure Cosmos DB's pricing is competitive, though there is a need for more personalized pricing models to accommodate small applications without incurring high charges. A suggestion is to implement dynamically adjustable pricing that accounts for various user needs."

"Its price is in the middle, neither too low nor too high."

"The solution is a bit on the expensive side."

"The customer had a high budget, but it turned out to be a little bit cheaper than what they expected. I am not sure how much they have spent so far, but they are satisfied with the pricing."

"Cosmos DB is cost-effective when starting but requires careful management."

"The pricing for Microsoft Azure Cosmos DB is good. Initially, it seemed like an expensive way to manage a NoSQL data store, but so many improvements that have been made to the platform have made it cost-effective."

"Pricing is one of the solution's main features because it is based on usage, scales automatically, and is not too costly."

"Its price is very good for the basic stuff. When you go to a more complicated use case, especially when you need replication and availability zones, it gets a little costly."

More Microsoft Azure Cosmos DB pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Legal Firm

12%

Financial Services Firm

11%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	21
Large Enterprise	58

Questions from the Community

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...

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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 ...

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What do you like most about Microsoft Azure Cosmos DB?

The initial setup is simple and straightforward. You can set up a Cosmos DB in a day, even configuring things like availability zones around the world.

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What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?

Microsoft Azure Cosmos DB's pricing model has aligned with my budget expectations because I can tune the RU as I need to, which helps a lot. Microsoft Azure Cosmos DB's dynamic auto-scale or server...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

I have not utilized Microsoft Azure Cosmos DB multi-model support for handling diverse data types. I'm not in the position to decide if clients will use Microsoft Azure Cosmos DB or any other datab...

See all answers

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Product Reports

Buyer's Guide

NoSQL Databases

February 2026

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Buyer's Guide

Microsoft Azure Cosmos DB

January 2026

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

Overview

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

Microsoft Azure Cosmos DB offers scalable, geo-replicated, multi-model support with high performance and low latency. It provides seamless Microsoft service integration, benefiting those needing flexible NoSQL, real-time analytics, and automatic scaling for diverse data types and quick global access.

Azure Cosmos DB is designed to store, manage, and query large volumes of both unstructured and structured data. Its NoSQL capabilities and global distribution are leveraged by organizations to support activities like IoT data management, business intelligence, and backend databases for web and mobile applications. While its robust security measures and availability are strengths, there are areas for improvement such as query complexity, integration with services like Databricks and MongoDB, documentation clarity, and performance issues. Enhancements in real-time analytics, API compatibility, cross-container joins, and indexing capabilities are sought after. Cost management, optimization tools, and better support for local development also require attention, as do improvements in user interface and advanced AI integration.

What are the key features of Azure Cosmos DB?

Scalability: Effortlessly handles scaling for large workloads.
Geo-replication: Provides global data access with low latency.
Multi-model Support: Compatible with diverse data types.
NoSQL Flexibility: Offers a non-relational database experience.
Real-time Analytics: Facilitates data-driven decision-making.
Automation: Simplifies scaling and maintenance processes.

What benefits can users expect from Cosmos DB?

High Performance: Ensures rapid processing and low latency.
Ease of Use: Features a user-friendly interface enhancing deployment speed.
Seamless Integration: Connects effortlessly with Microsoft services.
Security: Offers robust measures to protect data integrity.
Consistent Availability: Ensures continuous access to data worldwide.

Industries use Azure Cosmos DB to support business intelligence and IoT data management, using its capabilities for backend databases in web and mobile applications. The platform's scalability and real-time analytics benefit sectors like finance, healthcare, and retail, where managing diverse datasets efficiently is critical.

Microsoft

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

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify

Buyer's Guide

MarkLogic vs. Microsoft Azure Cosmos DB

February 2026

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