MarkLogic vs Microsoft Azure Cosmos DB comparison

Progress Software and Microsoft are both solutions in the NoSQL Databases category. Progress Software is ranked #19, while Microsoft is ranked #2 with an average rating of 8.3. Progress Software holds a 2.0% mindshare in ND, compared to Microsoft’s 6.7% 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

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344 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 109 Microsoft Azure Cosmos DB reviews

9,934 Views
2,086 Comparison Views

95% willing to recommend

MarkLogic

Microsoft Azure Cosmos DB

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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: December 2025).

Buyer's Guide

MarkLogic vs. Microsoft Azure Cosmos DB

December 2025

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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

19th

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 January 2026, in the NoSQL Databases category, the mindshare of MarkLogic is 2.0%, up from 1.1% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 6.7%, up from 1.4% 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	6.7%
MarkLogic	2.0%
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

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

"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."

"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 modern applications, I would recommend Microsoft Azure Cosmos DB."

"Cosmos DB is stable and easy to use."

"Overall, I would rate Microsoft Azure Cosmos DB a nine out of ten."

"Overall, I would rate it a nine out of ten with the only significant issue being the partitioning key functionality."

"The most valuable feature of Microsoft Azure Cosmos DB is its real-time analytics capabilities, which allow for turnaround times in milliseconds."

"Azure Cosmos DB's graph queries are its most valuable feature. Although I have not yet explored vector search, it's coming to Cosmos DB, and I plan to look into it. Having data in a flat file format in a document database speeds up processes, which is the primary purpose. Additionally, Cosmos DB's use of the Mongo platform makes it intuitive and cost-effective."

"It's highly scalable and supports consistency, security, and multiple security options."

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

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."

"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 spreadsheet capabilities could be improved."

"One of our biggest pain points is the backup and restore functionality needs improvement. They've gotten a little better in this area. SQL Server's long-term retention is amazing, and you can restore data from years ago. You need to open a support Microsoft ticket to restore your Cosmos DB backup, and it comes in on a different Cosmos account. It's just kind of a headache to restore data."

"There are no particular factors that need improvement. There is a little bit of a learning curve with scaling workloads, but it works smoothly."

"I have been a devoted Microsoft fan, but Redis DB's memory caching capabilities are really making progress. Even if Cosmos DB is continuously improving and is quite advanced in the field of internal memory optimization, I would still recommend Redis DB to a customer."

"Areas of improvement for Microsoft Azure Cosmos DB include indexing. While it makes data retrieval easier, it also increases costs."

"The model with autoscaling for RU is complicated to optimize RU consumption."

"Microsoft's support services are inadequate, especially during critical incidents."

"At this stage, we would like more enterprise support. We use MongoDB a lot, and we're trying to get rid of MongoDB. So, I would like to see more features in the Cosmos DB API for MongoDB space."

"Overall, it works very well and fits the purpose regardless of the target application. However, by default, there is a threshold to accommodate bulk or large requests. You have to monitor the Request Units. If you need more data for a particular query, you need to increase the Request Units."

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."

"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."

"Our experience with the pricing and setup cost is that it aligns with what we expect based on the pricing we see. However, I would absolutely like it to be less if possible."

"The cost is the biggest limitation of this solution."

"Cosmos should be cheaper. We actually intend to stop using it in the near future because the price is too high."

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

"Cosmos DB's pricing structure has significantly improved in recent months, both in terms of its pricing model and how charges are calculated."

"When we've budgeted for our resources, it's one of the more expensive ones, but it's still not very expensive per month."

"The pricing is perceived as being on the higher side. However, if you have large data operations, it might reduce costs due to performance efficiencies."

More Microsoft Azure Cosmos DB pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Legal Firm

13%

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

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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...

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Product Reports

Buyer's Guide

NoSQL Databases

January 2026

Download MarkLogic product report

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

December 2025

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