Microsoft Azure DocumentDB vs MongoDB Enterprise Advanced comparison

Microsoft Azure DocumentDB vs. MongoDB Enterprise Advanced

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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

Microsoft Azure DocumentDB

Ranking in NoSQL Databases

15th

Average Rating

8.8

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (13th)

MongoDB Enterprise Advanced

Ranking in NoSQL Databases

2nd

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Open Source Databases (8th), Managed NoSQL Databases (4th)

Featured Reviews

Anish-Anand

Performance Test Professional at Happiest Minds

Reporting for global banking stakeholders has become seamless and supports diverse visual formats

All Microsoft applications, whether database or analytics, are a little costlier compared to Google products, and this is a barrier that needs to be crossed so that all its applications become more affordable. For example, startups typically go for free tools. Microsoft should offer these products for free to startups or perhaps free for the first year or two years, so that startups can use these applications, and once they grow bigger and have larger revenue, they can purchase it at a reasonable cost. All Microsoft tools need to cut down on their price and have a better strategy around pricing for the masses. If you sell only to ten customers, your revenue is lesser, but if you give something for free to some customers, two years down the line they will purchase it. Microsoft Azure DocumentDB still needs the ability to connect to other analytics easily without any additional integrator. For example, if I can connect to Google Analytics or other analytics that are not Microsoft tools using this database, that would be a good source of revenue. If I have already purchased Google Analytics in my company and I need a database, and Microsoft Azure DocumentDB can very easily connect or integrate to my Google Analytics, I would not have to think twice. Cross-company application connectivity is something that needs to be worked on.

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Anand Bandi

Co-Founder at Vsigma IT Labs Pvt Ltd

Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance

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 could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

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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

"The most beneficial features of Microsoft Azure DocumentDB that I noticed is that it appeared to be straightforward, it was ease of use, it was not complicated compared to some of the other tools that are out there, the teams were familiar with it, and it integrated well with other Microsoft products."

"We have immeasurable benefits mainly in reduced operational effort and the time saved on routine database administration."

"Microsoft Azure DocumentDB is never down because of its scalability feature."

"The most valuable feature of Microsoft Azure DocumentDB in my daily work is the speed."

"Microsoft Azure DocumentDB has positively impacted my organization by allowing us to reduce database costs by 30%."

"One of the most appreciated aspects of Microsoft Azure DocumentDB is the elastic scaling feature which has significantly helped manage business growth for two customers who have employed it, experiencing a dramatic rise in improvement."

"We haven't had any issues with stability."

"The integration capabilities of MongoDB are fine for the solutions that we use in our company."

"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."

"We capture more than 30 million records every week in IoT NS and MongoDB has been serving us well so far, making it easier to maintain the data with its document-based storage."

"Based on our experience so far, it is stable."

"I would recommend MongoDB because it is widely used by many organizations."

"The community is great if you have problem."

"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."

More MongoDB Enterprise Advanced pros

Cons

"It is a bit expensive, especially concerning the elastic scale."

"Microsoft gives you the base functionality which you can grow from, but some tools perhaps go a bit further because that is their only focus or niche."

"Microsoft Azure DocumentDB could be improved with more straightforward cost and performance optimization guidance, especially for understanding resource usage and selecting the right configuration for different workloads."

"All Microsoft applications, whether database or analytics, are a little costlier compared to Google products, and this is a barrier that needs to be crossed so that all its applications become more affordable."

"Maybe in the future, I would like to see relationships between one document set and another document set."

"Overall the solution is expensive."

"The solution can be a bit tough to set up if you don't have knowledge about how the database works."

"The solution should have better integration."

"MongoDB would be improved with more integration, particularly for cloud environments like Google BigQuery."

"Its security features can be better. Sometimes, my higher authority says that we are not going to use MongoDB because it doesn't provide that much security for the RDBMS or relational data that we use for transactions."

"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."

"There can be stability issues."

"It could be much more flexible like SequoiaDB. I would like to see more flexibility in the next release, especially when working with Microsoft Windows. A lot of people struggle with MongoDB because of their Windows versions. But Linux is faultless and mostly runs nicely."

More MongoDB Enterprise Advanced cons

Pricing and Cost Advice

Information not available

"It's open-source."

"It's a community edition, so we do not pay anything."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

"This is an open-source solution."

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

"MongoDB's pricing is reasonable."

"The solution is open source so is free."

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

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%

Manufacturing Company

Outsourcing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	13
Large Enterprise	39

Questions from the Community

What needs improvement with Microsoft Azure DocumentDB?

I think perhaps in some aspects the documentation could be better, as well as the integration with Azure Backup to improve Microsoft Azure DocumentDB.

What is your primary use case for Microsoft Azure DocumentDB?

My main use case for Microsoft Azure DocumentDB is when we modernize applications that use MongoDB on-premise and move them to Azure using DocumentDB. By doing this migration to Microsoft Azure Doc...

What advice do you have for others considering Microsoft Azure DocumentDB?

I would rate this product an 8 out of 10.

What is your experience regarding pricing and costs for MongoDB?

I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...

What needs improvement with MongoDB?

I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...

What is your primary use case for MongoDB?

A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.

MongoDB Atlas vs MongoDB Enterprise Advanced

Comparisons

No data available

Compared 6% of the time

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Compared 5% of the time

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Compared 4% of the time

MySQL vs MongoDB Enterprise Advanced

Compared 4% of the time

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Product Reports

Microsoft Azure DocumentDB

Download Microsoft Azure DocumentDB product report

MongoDB Enterprise Advanced

Download MongoDB Enterprise Advanced product report

Overview

Microsoft Azure DocumentDB is a scalable, fully managed NoSQL database service designed to handle demanding workloads through a schema-free document data model.

It is tailor-made for applications requiring scale and performance, supporting JSON documents with rich querying capabilities. The service integrates easily with Azure's ecosystem, offering automatic indexing and multi-region replication, which may be appealing for businesses focused on global reach and real-time analytics. DocumentDB shifts the focus from infrastructure management to application development, highlighting its value for developers.

What are the key features of Microsoft Azure DocumentDB?

Global Distribution: Offers automatic multi-region replication, enhancing data availability.
Schema-Free Data Model: Facilitates handling of dynamic data without predefined schemas.
Rich Querying Support: Enables complex queries with SQL-like syntax.
Automatic Indexing: Saves time by automatically indexing every document added to the database.
High Throughput: Designed to scale horizontally, offering elastic performance levels.

What benefits or ROI should users expect?

Scalability: Supports growth without service interruptions, reducing operational hurdles.
Cost Efficiency: Pricing model aligns with usage, optimizing budget allocation.
Developer Productivity: Emphasis on a development-friendly approach increases focus on value creation.
Security: Advanced measures protect data integrity and access control.

Microsoft Azure DocumentDB is implemented in industries requiring high-throughput workloads and reliable data handling, such as finance, e-commerce, and IoT. By enabling consistent performance and secure data processing, it can meet market demands efficiently. In retail, DocumentDB handles real-time inventory management, while in finance, it supports transaction monitoring, reflecting its versatility across different sectors.

Microsoft

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

Information Not Available

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

Microsoft Azure DocumentDB vs. MongoDB Enterprise Advanced