MarkLogic vs MongoDB Enterprise Advanced comparison

Progress Software and MongoDB are both solutions in the NoSQL Databases category. Progress Software is ranked #13 with an average rating of 8.0, while MongoDB is ranked #1 with an average rating of 8.4. Progress Software holds a 2.2% mindshare in ND, compared to MongoDB’s 13.9% 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 4 MarkLogic reviews

489 Views
421 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

5,473 Views
3,065 Comparison Views

92% willing to recommend

MarkLogic

MongoDB Enterprise Advanced

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 2, 2025

MongoDB Enterprise Advanced and MarkLogic are competitors in the database management domain. MongoDB Enterprise Advanced tends to have the upper hand in cost-effectiveness and support, while MarkLogic leads with its advanced features and higher price point.

Features: MongoDB Enterprise Advanced offers robust scalability, versatile data models, and strong query capabilities. MarkLogic provides powerful semantic data integration, real-time alerting features, and comprehensive search tools.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced is designed for cloud-focused deployment, emphasizing ease of integration and a wide range of available documentation and support resources. MarkLogic includes an on-premises option with a strong emphasis on data security, paired with expert customer service.

Pricing and ROI: MongoDB Enterprise Advanced provides competitive pricing models suitable for various organizational sizes, ensuring a good ROI through lower initial costs and flexible licensing. MarkLogic, while potentially higher in setup expenses, offers significant long-term returns through its advanced analytics and data management capabilities.

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

Buyer's Guide

MarkLogic vs. MongoDB Enterprise Advanced

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

13th

Average Rating

8.8

Reviews Sentiment

5.6

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 (6th), Managed NoSQL Databases (4th)

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 MongoDB Enterprise Advanced is 13.9%, down from 20.6% 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	13.9%
MarkLogic	2.2%
Other	83.9%

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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Fabien GOUINEAU

Architecte Cloud at Visiativ SA

Offers reliable engine for legacy needs but requires enhanced cost management and AI features

While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

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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."

"It is convenient to use because we can do manipulations with the JSON data that we get. There are also a lot of joins and associations with MongoDB, which makes it easy to use for us."

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

"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."

"MongoDB is relatively fast compared to relational databases."

"like its performance and the stability. It's very stable and, performance-wise, it's really great."

"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."

"The solution is user-friendly with a good object retrieval feature."

"The solution's most important aspect is its seamless database."

More MongoDB Enterprise Advanced pros

Cons

"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."

"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."

"There is room for improvement in integrating MongoDB with agentive AI solutions."

"From my point of view, they need a totally free IDE to work at high levels."

"Simplifying the aggregation framework would be an improvement."

"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."

"It isn't easy to recognize entities with MongoDB."

"When third-party data warehouses are integrated, we are seeing some ETL job performance issues."

"More stable indexes would be helpful in a future release. That's been an issue for some time. I don't know if it's been fixed now but we transitioned to it because we needed a search index to be able to search for things and if that goes or starts disappearing, we have to move away from that solution. I don't know if they fixed it, last time I had this issue was three years ago so they might have solved it."

"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."

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."

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

"MongoDB is a bit expensive compared to its competitors."

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

"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."

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

"The pricing is normal. Price-wise, the product is not too much expensive."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

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

More MongoDB Enterprise Advanced pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	35
Midsize Enterprise	13
Large Enterprise	38

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.

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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 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?

For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...

See all answers

What needs improvement with MongoDB?

The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...

See all answers

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Cloudera Distribution for Hadoop vs MarkLogic

Compared 10% of the time

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Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 5% of the time

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 5% of the time

Cassandra vs MongoDB Enterprise Advanced

Compared 5% of the time

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Product Reports

Buyer's Guide

NoSQL Databases

February 2026

Download MarkLogic product report

Buyer's Guide

MongoDB Enterprise Advanced

January 2026

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

December 2025

Free Report: MarkLogic vs. MongoDB Enterprise Advanced

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