MarkLogic vs MongoDB Enterprise Advanced comparison

Progress Software and MongoDB are both solutions in the NoSQL Databases category. Progress Software is ranked #19, while MongoDB is ranked #1 with an average rating of 8.2. Progress Software holds a 1.8% mindshare in ND, compared to MongoDB’s 15.1% mindshare. Additionally, 100% of Progress Software users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

MarkLogic

Read 2 MarkLogic reviews

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281 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Read 81 MongoDB Enterprise Advanced reviews

4,418 Views
3,004 Comparison Views

92% willing to recommend

MarkLogic

MongoDB Enterprise Advanced

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 31, 2025

MongoDB Enterprise Advanced and MarkLogic are in the database solutions category. MongoDB is preferred for its pricing and support, while MarkLogic excels in advanced features and functionality.

Features: MongoDB Enterprise Advanced offers scalability, a flexible data model, and integrated tools for data visualization. MarkLogic is distinguished by complex data integration, robust search capabilities, and native support for triple store and semantic data.

Ease of Deployment and Customer Service: MongoDB's deployment model is flexible with cloud and on-premises options, supported by responsive service. MarkLogic caters to enterprise environments with a detailed deployment model requiring specialized support, providing thorough customer service despite the complexity.

Pricing and ROI: MongoDB Enterprise Advanced has a more accessible pricing structure and quicker ROI due to lower costs and community support. MarkLogic's higher setup cost is balanced by advanced features, offering a significant ROI for extensive data handling.

To learn more, read our detailed MarkLogic vs. MongoDB Enterprise Advanced Report (Updated: July 2025).

Buyer's Guide

MarkLogic vs. MongoDB Enterprise Advanced

July 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

9.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

MongoDB Enterprise Advanced

Ranking in NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Open Source Databases (5th), Managed NoSQL Databases (8th)

Mindshare comparison

As of August 2025, in the NoSQL Databases category, the mindshare of MarkLogic is 1.8%, up from 0.8% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 15.1%, down from 25.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

Beverly R. Jamison

IT Solutions Architect / Computer Scientist at Practical Semantics

Frequent updates, helpful search capabilities, and high quality support

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. The solution has been good at providing the updates that were what we were hoping for. They frequently update the solution.

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Uzair Faruqi

Head Of Analytics at Mjunction Services

Transforms data flow with adaptable schema and smooth public cloud deployment

One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

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

"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."

"The geospatial index feature is useful for dealing with latitude and longitude data."

"The most valuable feature is the speed of MongoDB."

"In our case, it is most important to have redundancy."

"MongoDB is relatively fast compared to relational databases."

"I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too."

"The integration capabilities of MongoDB are fine for the solutions that we use in our company."

"We've found the product to be scalable."

"The aggregation framework is really good, allowing a developer to build very complex queries."

More MongoDB Enterprise Advanced pros

Cons

"The spreadsheet capabilities could be improved."

"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 suppose it could be a little more secure."

"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."

"Enhancing the documentation to make it more beginner-friendly is crucial."

"At the start, connecting to the database via Compass or through a direct ID was a challenge."

"MongoDB should improve its data loading part."

"Its security features can be better. Sometimes, my higher authority says that we are not going to use MongoDB because it doesn't provide that much security for the RDBMS or relational data that we use for transactions. Instead of MongoDB, we will use Oracle Database because for a transactional service, you have to rely on RDBMS ACID properties. I would love to work on MongoDB by using my mobile phone. When I am working remotely or traveling and have some instances deployed on my server, I should be able to check through my mobile whether all the data is being pulled. GitHub has a similar feature, where it lets you read from the laptop, and you can also pull and push with your mobile phone. I would request MongoDB to provide such a feature. Basically, I want a mobile version for both iOS and Android versions."

"The solution should have better integration."

"The scalability of the solution has room for improvement."

More MongoDB Enterprise Advanced 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."

"If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."

"I believe that MongoDB is free."

"There is an enterprise license and it could be cheaper. We are using the free open source version."

"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

"At the moment, all customers are using the community version."

"I believe that the licensing fees are paid on a yearly basis."

"We are using the Community Edition of MongoDB."

"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."

More MongoDB Enterprise Advanced pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

12%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

See all answers

What is your experience regarding pricing and costs for MongoDB?

We pay approximately 2,000 euros per month for MongoDB.

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What needs improvement with MongoDB?

I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at that level, but I would say it's minimal and could be improved. I am not experi...

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Comparisons

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Compared 19% of the time

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Compared 7% of the time

Cassandra vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

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Product Reports

Buyer's Guide

NoSQL Databases

July 2025

Download MarkLogic product report

Buyer's Guide

MongoDB Enterprise Advanced

July 2025

Download MongoDB Enterprise Advanced product report

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

MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.

The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.

What are the key features of MongoDB Enterprise Advanced?

Scalability: Dynamic adjustments to workloads with ease.
JSON Compatibility: Seamless data structuring with JSON support.
Clustering: Enhanced data management through robust clustering.
Security Integration: Built-in security measures for data protection.
Sharding: Efficient distribution of large datasets.

What benefits should users look for in reviews?

Document-Based Storage: Flexibility in managing varied data types.
Open-Source: Access to a broad community and resources.
Low-Cost Implementation: Economic efficiency in deployment.
Scalability: Supports the growth of data without sacrificing performance.

Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.

MongoDB

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

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

Buyer's Guide

MarkLogic vs. MongoDB Enterprise Advanced

July 2025

Free Report: MarkLogic vs. MongoDB Enterprise Advanced

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