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 8.4. Progress Software holds a 1.7% mindshare in ND, compared to MongoDB’s 16.9% 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

317 Views
285 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

4,790 Views
3,066 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: September 2025).

Buyer's Guide

MarkLogic vs. MongoDB Enterprise Advanced

September 2025

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Helped 868,759 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

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

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (4th), Managed NoSQL Databases (5th)

Mindshare comparison

As of October 2025, in the NoSQL Databases category, the mindshare of MarkLogic is 1.7%, up from 0.9% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 16.9%, down from 23.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
MongoDB Enterprise Advanced	16.9%
MarkLogic	1.7%
Other	81.4%

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…

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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."

"I value the API integrations."

"One of the most valuable features of MongoDB is it is Its open source."

"It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement."

"Migrating to MongoDB upgrades the IT environment and puts users in the NoSQL environment, which is faster."

"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."

"It facilitates the generation of heatmaps for graphical data analysis."

"The Dynamic Application is a valuable feature."

"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."

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."

"MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."

"Simplifying the aggregation framework would be an improvement."

"I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches."

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

"The solution should have better integration."

"It should have GUI for managing clusters. MongoDB needs a more powerful GUI to manage clusters and make switchovers. Currently, there is no good, free tool to check the replication to find out if there is a gap."

"The performance can be improved."

"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."

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."

"You only have to pay for the paid version, not the open-source version."

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

"We are using the Community Edition of MongoDB."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

"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."

"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."

"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."

"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."

More MongoDB Enterprise Advanced pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

16%

Computer Software Company

11%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	13
Large Enterprise	37

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.

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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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Product Reports

Buyer's Guide

NoSQL Databases

September 2025

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Buyer's Guide

MongoDB Enterprise Advanced

September 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

September 2025

Free Report: MarkLogic vs. MongoDB Enterprise Advanced

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