MarkLogic vs Microsoft Azure Cosmos DB comparison

MarkLogic and Microsoft are both solutions in the NoSQL Databases category. MarkLogic is ranked #11 with an average rating of 9.5, while Microsoft is ranked #3 with an average rating of 8.2. Additionally, 100% of MarkLogic users are willing to recommend the solution, compared to 96% of Microsoft users who would recommend it.

MarkLogic

Read 2 MarkLogic reviews

233 Views
147 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 78 Microsoft Azure Cosmos DB reviews

214 Views
78 Comparison Views

96% willing to recommend

MarkLogic

Microsoft Azure Cosmos DB

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 5, 2025

MarkLogic and Microsoft Azure Cosmos DB are competing in the database management arena. MarkLogic seems to have an advantage in support and pricing satisfaction, while Microsoft Azure Cosmos DB stands out with its feature-rich environment, providing good value for its cost.

Features: MarkLogic is known for its strong data integration, advanced search, and semantic capabilities, making it ideal for handling complex data. Microsoft Azure Cosmos DB is recognized for global distribution, multi-model support, and guaranteed low-latency access, making it favorable for applications requiring scalable and high-performance databases.

Ease of Deployment and Customer Service: MarkLogic offers straightforward deployment but has a notable learning curve. Its support is responsive and personalized. Microsoft Azure Cosmos DB provides robust cloud integration, allowing seamless scalability. Its customer service is more integrated but less personalized, highlighting MarkLogic in ease of deployment and customer interactions.

Pricing and ROI: MarkLogic's setup cost may be higher initially but offers strong ROI through feature capabilities and support efficiency. Microsoft Azure Cosmos DB offers flexible pricing models for diverse budgets, balancing investment with advanced features and scalability, delivering competitive ROI through adaptability and global reach.

To learn more, read our detailed MarkLogic vs. Microsoft Azure Cosmos DB Report (Updated: January 2025).

Buyer's Guide

MarkLogic vs. Microsoft Azure Cosmos DB

January 2025

Download the complete report

Helped 831,265 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

11th

Average Rating

9.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Microsoft Azure Cosmos DB

Ranking in NoSQL Databases

3rd

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (6th), Managed NoSQL Databases (1st), Vector Databases (5th)

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.

Read full review

MichaelJohn

Director | Data & AI at a tech services company with 11-50 employees

Very efficient for application-facing scenarios

There are several areas for improvement. Firstly, having a local development emulator or simulator for Azure Cosmos DB would be beneficial. It would be very handy to have a Docker container that developers can use locally. Although, I know there is a free tier and so on and so forth, having a local environment would be nice. For example, SQL Server is very portable. You can even install it on your machine. That is the number one thing that is missing in Azure Cosmos DB. The second improvement area is the IDE of choice. That means how you interact with Azure Cosmos DB. For example, with SQL Server, you have SQL Server Management Studio. I know there is a little bit of support for Azure Cosmos DB in Azure Data Studio, but it is not heavily advertised or it does not feel like first-class citizen support. Developer experience or developer tooling is missing in terms of interacting with the database. Better developer tools or an IDE for interacting with Azure Cosmos DB would enhance the developer experience. Lastly, there is some mixed messaging about what Azure Cosmos DB is, given its multiple APIs. There are so many Azure Cosmos DB APIs available. There is NoSQL. There are MongoDB, Gremlin, and others. There is still some mixed messaging for others who are new to Azure Cosmos DB about what Azure Cosmos DB is. Is this like MongoDB, but then there is also MongoDB in Azure Cosmos DB? I know it well, and I know that the default one is just NoSQL, but others I have interacted with over the last ten years or so get confused.

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."

"Our team has found the vCore index to be one of the most valuable features. We have tokenized and vectorized our entire database and stored this data in MongoDB collections with a vCore index, which works like magic for keyword selection."

"With Azure you can start small and grow as you need."

"The most valuable features for our organization with Azure Cosmos DB are multi-master capability for applications, automatic failover ensuring high availability, scalability, support for multiple data models, and low-latency access."

"It gives us a lot of flexibility. The scaling is instantaneous as well. You immediately have all the resources available."

"The latency and availability of Microsoft Azure Cosmos DB are fantastic."

"Azure Cosmos DB offers numerous data connectors that provide a platform for seamless integration with various platforms and visualization tools such as Power BI. It allows connection via multiple data connectors to integrate data in any desired format."

"Azure Cosmos DB offers efficient indexing and low search latency, making searching fast and efficient and ensuring peace of mind in database operations."

"Our customer is very satisfied with it."

More Microsoft Azure Cosmos DB 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."

"It would be beneficial if Cosmos supported batch and real-time use cases to make the system more seamless."

"An improvement would be a more robust functionality around updating elements on a document, or some type of procedural updates that don't require pulling the entire document."

"The current data analytics of Cosmos DB is inefficient for large-scale queries due to its transactional design."

"I would like the speed of transferring data to be improved."

"The user interface needs massive improvement. While the device works fine and it's not complicated to write policies, renaming menu items and showing policy flow in conjunction with the application could help."

"The integration with other solutions needs to improve because Cosmos DB's interoperability is lacking in some scenarios. For example, I'm currently implementing Fabric. That involves migrating from environments without apps, processing data and users, and taking them to Fabric."

"The API compatibility has room for improvement, particularly integration with MongoDB. You have to connect to a specific flavor of MongoDB. We'd also like a richer query capability in line with the latest Mongo features. That is one thing on our wish list. The current version is good enough for our use case, but it could be improved."

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

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."

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

"Cosmos DB is expensive, and the RU-based pricing model is confusing. Although they have a serverless layer, there are deficiencies in what I can define and assign to a database. Estimating infrastructure needs is not straightforward, making it challenging to manage costs."

"Pricing is mid- to high-end."

"Cost isn’t a big hurdle for us right now. The solution is not costly."

"The licensing is a mess and needs sorting out. I am not really concerned about the pricing because I only make recommendations, not buying decisions."

"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."

"With heavy use, like a large-scale IoT implementation, you could easily hit a quarter of a million dollars a month in Azure charges if Cosmos DB is a big part of it."

"Cosmos DB is expensive compared to any virtual machine based on conventional RDBMS like MySQL or PostgreSQL."

More Microsoft Azure Cosmos DB 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

831,265 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Computer Software Company

13%

Comms Service Provider

12%

Financial Services Firm

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about MarkLogic?

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.

See all answers

What is your experience regarding pricing and costs for MarkLogic?

It's a costly product. However, their reputation justifies the cost. It's a trusted product.

See all answers

What needs improvement with MarkLogic?

The spreadsheet capabilities could be improved. We need to convert spreadsheets into an open XML format. We have to do a few levels of conversions before we convert the data into the information we...

See all answers

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.

See all answers

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?

Azure Cosmos DB's pricing is competitive, though there is a need for more personalized pricing models to accommodate small applications without incurring high charges. A suggestion is to implement ...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

For streaming platforms, Azure Cosmos DB could improve efficiency in data storage. Indexing can also be better. Enhanced capabilities are necessary to manage increased data amounts more effectively...

See all answers

Comparisons

MongoDB vs MarkLogic

Compared 60% of the time

More MarkLogic Competitors

Amazon Neptune vs Microsoft Azure Cosmos DB

Compared 14% of the time

Chroma vs Microsoft Azure Cosmos DB

Compared 13% of the time

Amazon DynamoDB vs Microsoft Azure Cosmos DB

Compared 9% of the time

Pinecone vs Microsoft Azure Cosmos DB

Compared 8% of the time

Oracle NoSQL Database Cloud vs Microsoft Azure Cosmos DB

Compared 3% of the time

More Microsoft Azure Cosmos DB Competitors

Product Reports

Buyer's Guide

NoSQL Databases

January 2025

Download MarkLogic product report

Buyer's Guide

Microsoft Azure Cosmos DB

January 2025

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

Learn More

MarkLogic

Microsoft

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).

Microsoft Azure Cosmos DB is a globally distributed, multi-model database service providing scalability, user-friendliness, and seamless integration, suitable for managing large volumes of structured and unstructured data across diverse applications.

Azure Cosmos DB is renowned for its scalability, stability, and ease of integration, offering robust support for multiple data models and APIs. Its capacity for handling unstructured data efficiently and providing real-time analytics makes it ideal for applications requiring high performance and global distribution. With features like automatic failover and integration with Microsoft products, users benefit from cost optimization and secure data handling. Enhancement opportunities include simplifying queries, improving documentation, and expanding backup and analytics functionalities.

What are the most important features of Microsoft Azure Cosmos DB?

Scalability and Autoscaling: Efficiently handles growing data and user demands.
Multi-Model Support: Adapts to different data models seamlessly.
Global Distribution: Provides low-latency access across multiple regions.
Automatic Failover: Ensures high availability and reliability.
Integration with Microsoft Products: Offers seamless connectivity with Azure services.

What benefits should users look for in Microsoft Azure Cosmos DB reviews?

Performance and Speed: Exceptionally fast processing for real-time data analytics.
Cost Optimization: Tools for managing expenses effectively.
Secure Data Handling: Implements strong data security measures.
Flexible Data Ingestion: Supports diverse data ingestion methods.

Azure Cosmos DB is frequently used in sectors like web, mobile, IoT, and analytics. It supports applications as a key-value store, processes real-time data, and enables global scalability with low-latency access. Its big data management capabilities and integration with Azure services enhance its utility across industries.

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

January 2025

Free Report: MarkLogic vs. Microsoft Azure Cosmos DB

Find out what your peers are saying about MarkLogic vs. Microsoft Azure Cosmos DB and other solutions. Updated: January 2025.

DOWNLOAD NOW

831,265 professionals have used our research since 2012.

See our MarkLogic vs. Microsoft Azure Cosmos DB 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.