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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 8.3. Additionally, 100% of MarkLogic users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.
MarkLogic
Read 2 MarkLogic reviews
  • 230 Views
  • 149 Comparison Views
100% willing to recommend
Microsoft Azure Cosmos DB
Read 50 Microsoft Azure Cosmos DB reviews
  • 88 Views
  • 34 Comparison Views
93% willing to recommend
 

Comparison Buyer's Guide

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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.

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Buyer's Guide
MarkLogic vs. Microsoft Azure Cosmos DB
October 2024
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Categories and Ranking

MarkLogic
Ranking in NoSQL Databases
11th
Average Rating
9.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Microsoft Azure Cosmos DB
Ranking in NoSQL Databases
3rd
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
50
Ranking in other categories
Database as a Service (DBaaS) (6th), Managed NoSQL Databases (1st), Vector Databases (5th)
 

Featured Reviews

Beverly R. Jamison - PeerSpot reviewer
Mar 8, 2023
Frequent updates, helpful search capabilities, and high quality support
In my earliest use cases, MarkLogic was used for XML-based operations. I worked a lot in the publishing industry. The solution can be deployed on-premise and on the cloud At the American Psychological Association when we used the search in MarkLogic it was what interested me the most because it…
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Michael Calvin - PeerSpot reviewer
Sep 9, 2024
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 solution is stable."
"Cosmos is a PaaS, so you don't need to worry about infrastructure and hosting. It has various APIs that allow it to integrate with other solutions. For example, we are using a MongoDB-compatible API for customers, which makes it easier for developers on the team who previously used MongoDB or are accustomed to the old document storage paradigm."
"Microsoft Azure Cosmos DB is easy to use and implement for application programmers."
"The most valuable feature of the solution is that it is scalable with multiple master files."
"It works reasonably fast. You can retain the original format of the document as received by the third-party system."
"The product has a lot of useful features that are there and ready to use, it's also very easy to use."
"I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture."
"Change feed is a pretty amazing feature. Once you make the changes, they are quickly read for you, and then you also have geo-replication. You can do a lot of things in your region, and the same regions can be replicated all over the world."
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."
"It should offer a simple user interface for querying Microsoft Azure Cosmos DB."
"It would be nice to have more options to ingest the data, for example, more file options or more search options. Currently, you can use JSON, but if there were other file types you can use for data ingestion, that would be nice."
"The initial setup was difficult."
"The biggest problem is the learning curve and other database services like RDS."
"We'd like to avoid full DR replication if possible, as this would result in significant cost savings."
"It doesn't support all databases."
"Its stability can be further improved."
"The support tickets are not cheap."
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."
"Cost isn’t a big hurdle for us right now. The solution is not costly."
"Cosmos DB is a highly cost-optimized solution when used correctly."
"The tool is not expensive."
"Cosmos DB is cost-effective when starting but requires careful management."
"Cosmos should be cheaper. We actually intend to stop using it in the near future because the price is too high."
"The RU's use case determines our license fees."
"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."
"The solution is a bit on the expensive side."
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
13%
Financial Services Firm
11%
Comms Service Provider
10%
Retailer
7%
 

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?
The pricing and licensing model was initially difficult to understand, but as soon as I learned what was going on and how it was priced, it was pretty easy. What is more difficult is to understand ...
See all answers
What needs improvement with Microsoft Azure Cosmos DB?
The one thing that I have been working on with Microsoft about this is the ability to easily split partitions and have it do high-performance cross-partition queries. That is the only place where e...
See all answers
 

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Product Reports

Buyer's Guide
NoSQL Databases
October 2024
MarkLogic reportDownload MarkLogic product report
Buyer's Guide
Microsoft Azure Cosmos DB
October 2024
Microsoft Azure Cosmos DB reportDownload 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).

Azure Cosmos DB is a fully managed NoSQL and vector database service built for AI-powered apps at any scale. It fuels apps with high-performance, distributed computing over massive volumes of NoSQL and vector data. Developers can start small and pay for only what they use with serverless computing, and enhance the solution seamlessly with unlimited dynamic autoscale, SLA-backed 99.999 percent availability and <10ms latency. Azure Cosmos DB lets developers build applications with the languages and frameworks of their choice, such as Python, Node.js, and Java. These unique benefits make Azure Cosmos DB a great fit for responsive, high-performance customer-facing apps that are secure and highly available. Some popular use cases for Azure Cosmos DB are AI assistants, real-time transactional applications, IoT and smart products, personalization and recommendations, as well as SaaS applications. 

 

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, Lagardre 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
October 2024
Free Report: MarkLogic vs. Microsoft Azure Cosmos DB
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