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 2.3% mindshare in ND, compared to MongoDB’s 13.7% 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 6 MarkLogic reviews

547 Views
476 Comparison Views

100% willing to recommend

MongoDB Enterprise Advanced

Read 82 MongoDB Enterprise Advanced reviews

6,047 Views
3,265 Comparison Views

92% willing to recommend

MarkLogic

MongoDB Enterprise Advanced

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Feb 8, 2026

MongoDB Enterprise Advanced and MarkLogic are both significant players in the database management field. MongoDB Enterprise Advanced tends to lead in pricing and suite support, whereas MarkLogic differentiates itself with its extensive feature set, making it an appealing option despite its higher initial cost.

Features: MongoDB Enterprise Advanced provides strong scalability, flexible schema design, and comprehensive support from a broad open-source community. MarkLogic boasts advanced data integration capabilities, powerful search features, and a complete security framework that supports varied data types and processing needs.

Room for Improvement: MongoDB could enhance its advanced data integration and search functionalities. Additionally, more structured security frameworks and governance features would broaden its appeal. MarkLogic might offer more competitive and flexible pricing models, enhance its community-driven support, and simplify deployment processes to increase adoption among a broader audience.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced offers flexible cloud or on-premises deployment backed by extensive documentation and community assistance. MarkLogic is generally seen as more complex to deploy but is supported by structured service and integration tools, offering robust vendor support.

Pricing and ROI: MongoDB Enterprise Advanced is generally noted for its competitive pricing and attractive ROI, attributed to its cost-effective scaling. In contrast, MarkLogic's initial setup costs are higher but are justified by its advanced data management capabilities, potentially leading to significant ROI over time.

To learn more, read our detailed MarkLogic vs. MongoDB Enterprise Advanced Report (Updated: March 2026).

Buyer's Guide

MarkLogic vs. MongoDB Enterprise Advanced

March 2026

Download the complete report

Helped 884,873 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

13th

Average Rating

8.8

Reviews Sentiment

6.2

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 March 2026, in the NoSQL Databases category, the mindshare of MarkLogic is 2.3%, up from 1.2% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 13.7%, down from 19.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
MongoDB Enterprise Advanced	13.7%
MarkLogic	2.3%
Other	84.0%

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.

Read full review

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.

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

"MarkLogic is perfectly suited for data lakes where we dump our data, transform our data, and store it back."

"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."

"MarkLogic has positively impacted my organization by making our job easier because we can store a large amount of data, and the built-in search feature is great, including semantic data management."

"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 is easy to use."

"MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."

"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."

"The solution has good flexibility and very fast performance for searching data."

"It's easy to use."

"Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability."

"MongoDB is relatively fast compared to relational databases."

More MongoDB Enterprise Advanced 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."

"I chose nine because the technology or the code that I am writing right now is in XQuery and JavaScript, so it would be better if MarkLogic allowed Python code to be executed on MarkLogic server."

"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."

"MongoDB should incorporate more features, particularly search functionality, and real-time communication capabilities, to improve the database and provide data listening services. Currently, we rely on the Atlas offering, but it would be fantastic if MongoDB could develop a new solution or updated version that includes these features within its internal database and driver. However, I am uncertain if this would be a viable or profitable move for them, and I am speaking from a mobile-centric viewpoint."

"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."

"The performance of the solution could be improved."

"The user interface is not as friendly as Oracle, which is something that can be improved."

"There should be better integration with other databases."

"The stability could be better."

"The MongoDB documentation can be a little complicated sometimes."

"I think that MongoDB's search engine should be improved."

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."

"It's open-source."

"I currently use the solution's community edition which is free."

"MongoDB's pricing is not reasonable, but it is not as expensive as the others."

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

"MongoDB's pricing is reasonable."

"I believe that MongoDB is free."

"The product is affordable."

"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

See which vendors are best for you

Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.

See recommendations

884,873 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

12%

Educational Organization

12%

Healthcare Company

Financial Services Firm

13%

Computer Software Company

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	4

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.

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...

See all answers

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 ...

See all answers

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

Comparisons

Neo4j Graph Database vs MarkLogic

Compared 17% of the time

Cloudera Distribution for Hadoop vs MarkLogic

Compared 13% of the time

Cassandra vs MarkLogic

Compared 13% of the time

DataStax Enterprise vs MarkLogic

Compared 12% of the time

Microsoft Azure Cosmos DB vs MarkLogic

Compared 12% of the time

More MarkLogic Competitors

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 5% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

InfluxDB vs MongoDB Enterprise Advanced

Compared 5% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 5% of the time

PostgreSQL vs MongoDB Enterprise Advanced

Compared 4% of the time

More MongoDB Enterprise Advanced Competitors

Product Reports

Buyer's Guide

MarkLogic

March 2026

Download MarkLogic product report

Buyer's Guide

MongoDB Enterprise Advanced

March 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

March 2026

Free Report: MarkLogic vs. MongoDB Enterprise Advanced

Find out what your peers are saying about MarkLogic vs. MongoDB Enterprise Advanced and other solutions. Updated: March 2026.

DOWNLOAD NOW

884,873 professionals have used our research since 2012.

See our MarkLogic vs. MongoDB Enterprise Advanced report.

See our list of best NoSQL Databases vendors.

We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.