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

228 Views
147 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 76 Microsoft Azure Cosmos DB reviews

130 Views
56 Comparison Views

96% willing to recommend

MarkLogic

Microsoft Azure Cosmos DB

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Executive SummaryUpdated on Sep 29, 2024

MarkLogic and Microsoft Azure Cosmos DB are two robust database solutions that compete in the enterprise database market. Microsoft Azure Cosmos DB seems to have the upper hand due to its global distribution and multi-model capabilities.

Features: MarkLogic is praised for its powerful search and indexing, making it ideal for complex data integration. It offers JSON and XML support and provides ACID transactions. Microsoft Azure Cosmos DB is noted for scalability, support for multiple data models, and seamless integration with Azure services.

Room for Improvement: Users of MarkLogic often mention the need for better documentation, improved data migration tools, and a more intuitive interface. Microsoft Azure Cosmos DB users highlight the high cost, occasional latency issues, and a need for better cost management tools.

Ease of Deployment and Customer Service: MarkLogic's deployment is straightforward, but it has a steep learning curve. Customer service is responsive but could be more proactive. Microsoft Azure Cosmos DB's deployment is fast and integrates well with other Azure services, though configuration can be challenging. Customer service is effective but sometimes slow to respond.

Pricing and ROI: MarkLogic is considered cost-effective with a good ROI for enterprises needing advanced data handling. Microsoft Azure Cosmos DB, while more expensive, is seen as a worthwhile investment due to its performance and global reach.

To learn more, read our detailed MarkLogic vs. Microsoft Azure Cosmos DB Report (Updated: December 2024).

Buyer's Guide

MarkLogic vs. Microsoft Azure Cosmos DB

December 2024

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Categories and Ranking

MarkLogic

Ranking in NoSQL Databases

11th

Average Rating

9.6

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

7.3

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.

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Michael Calvin

CTO at Kinectify

Easy to integrate, has a shallow learning curve, and scales dynamically

Azure Cosmos DB is quick to adopt with a shallow learning curve. The average user can be operational within hours or days, handling small to medium data volumes. However, optimizing for ultra-high throughput scenarios involves a steeper learning curve, requiring substantial knowledge to master Azure Cosmos DB. Nonetheless, most users can leverage it as their operational data store with minimal effort. Our platform boasts several extensive language model features, particularly around summarization capabilities. We use vector searching in Azure Cosmos DB to facilitate the retrieval of an augmented generation model with our LLM implementation. It's a standard RAG implementation using Azure Cosmos DB. Compared to other options, a key advantage of vector indexing in Azure Cosmos DB is the ability to query documents alongside vectors. This pinpoints the precise information required for RAG in our LLM solution, granting us greater flexibility than vector searching in other Azure services. We integrated the vector database with the Azure OpenAI service for our LLM solution. The Azure AI services were simple to integrate with the vector database. There was a slight learning curve, especially as we were on the private preview of vector searching. This led to some hiccups with our existing database configurations, specifically regarding continuous backup. We couldn't enable continuous backup and vector searching simultaneously. However, this was solely due to our participation in the preview, and I'm confident this issue won't persist in the general availability release. Azure Cosmos DB is fantastic for searching large amounts of data when the data is within a single partition. Over the last two weekends, we ingested over 400 gigabytes of data into our Azure Cosmos DB database and saw no change in querying performance compared to when our database was only 20 gigabytes in size. This is impressive and powerful, but the scope is limited to those partition queries. The first benefit we've seen is increased developer productivity. Azure Cosmos DB is an easy database to work with. Its schema-less nature allows us to iterate quickly on our platform, develop new features, and store the associated data in Azure. Developers find it easy to use, eliminating the need for object-relational mapping tools and other overhead. Geographic replication and the ability to scale geographically is another advantage. This is challenging with other databases, even other NoSQL databases, but Azure Cosmos DB makes it easy. Cost optimization is a major benefit as well. We've been able to run our platform at a fraction of the infrastructure cost our customers incur when integrating with us. This allows us to focus resources on feature development and platform building rather than infrastructure maintenance. Azure Cosmos DB helped reduce the total cost of ownership. We don't need DBAs, system administrators, or typical IT staff to run the infrastructure because we can use Azure Cosmos DB as a platform or a software-as-a-service data storage solution. This makes the total cost of ownership significantly lower than any comparable solution using relational databases or other NoSQL solutions like MongoDB. We enable auto-scaling on all of our Azure Cosmos DB resources, which helps us achieve cost optimizations.

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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'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 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."

"The standout features are its ability to do data compression easily and the ability to scale horizontally."

"Cosmos DB has helped our organization handle large amounts of data."

"Microsoft Azure Cosmos DB offers the response times needed for advanced analytics applications."

"The solution's read capacity and write access functions are very fast so users don't have to wait when fetching or displaying data on a screen."

"As a NoSQL database, it offers schema flexibility which simplifies design and reduces initial engineering overhead."

"The global synchronization feature of Azure Cosmos DB stands out as the most valuable for me."

"Microsoft Azure Cosmos DB has helped to improve efficiency, providing good response times and allowing the storage of AI process results, which is crucial for feedback loops."

"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."

More Microsoft Azure Cosmos DB 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."

"The spreadsheet capabilities could 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."

"There are no particular factors that need improvement. There is a little bit of a learning curve with scaling workloads, but it works smoothly."

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

"If we have a lot of data, doing a real-time vector search is a performance challenge because the search happens over a large dataset. It consumes more time."

"It would be ideal if we could integrate Cosmos DB with our Databricks. At this point, that's not possible."

"We would like to see advancements in AI with the ability to benchmark vector search capabilities, ensuring it answers questions accurately. During our initial implementation, we faced challenges with indexing and sorting, which are natively available in other offerings but required specific configurations in Cosmos."

"We should have more freedom to tweak it and make our own queries for non-traditional use-cases."

"Continuing to educate customers on how they can take better advantage of Microsoft Azure Cosmos DB without having to completely rewrite their entire application paradigm would be beneficial."

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 DB's pricing structure has significantly improved in recent months, both in terms of its pricing model and how charges are calculated."

"The tool is not expensive."

"Cosmos DB gave us three accounts for $400. We pay according to the usage."

"Right now, I have opted for the student subscription plan, for which Microsoft charges me around 100 USD. The pricing of the solution depends on the solution's usage."

"Everything could always be cheaper. I like that Cosmos DB allows us to auto-scale instead of pre-provisioning a certain capacity. It automatically scales to the demand, so we only pay for what we consume."

"Microsoft provides fair pricing."

"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."

"Cosmos DB is a PaaS, so there are no upfront costs for infrastructure. There are only subscriptions you pay for Azure and things like that. But it's a PaaS, so it's a subscription service. The license isn't perpetual, and the cost might seem expensive on its face, but you have to look at the upkeep for infrastructure and what you're saving."

More Microsoft Azure Cosmos DB pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

14%

Comms Service Provider

12%

Financial Services Firm

11%

Manufacturing Company

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.

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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?

The solution was a new product, so we didn't have a cost of ownership before. The cost has not surprised us. It's not been an issue. If we were doing multi-master replication globally, the cost wou...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

Using it is easy. We are having trouble optimizing it. I'm not a technical person, so I couldn't explain why, but we're not getting the performance we were expecting. I'm sure it's probably an us p...

See all answers

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Neo4j AuraDB vs Microsoft Azure Cosmos DB

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Redis vs Microsoft Azure Cosmos DB

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Product Reports

Buyer's Guide

NoSQL Databases

December 2024

Download MarkLogic product report

Buyer's Guide

Microsoft Azure Cosmos DB

December 2024

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

December 2024

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