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HPE Data Fabric vs MongoDB Enterprise Advanced comparison

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Comparison Buyer's Guide

Executive Summary

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

HPE Data Fabric
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
12
Ranking in other categories
Hadoop (5th)
MongoDB Enterprise Advanced
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
Open Source Databases (9th), NoSQL Databases (2nd), Managed NoSQL Databases (4th)
 

Mindshare comparison

HPE Data Fabric and MongoDB Enterprise Advanced aren’t in the same category and serve different purposes. HPE Data Fabric is designed for Hadoop and holds a mindshare of 9.2%, down 14.5% compared to last year.
MongoDB Enterprise Advanced, on the other hand, focuses on NoSQL Databases, holds 11.3% mindshare, down 16.2% since last year.
Hadoop Mindshare Distribution
ProductMindshare (%)
HPE Data Fabric9.2%
Cloudera Distribution for Hadoop14.6%
Apache Spark14.4%
Other61.800000000000004%
Hadoop
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced11.3%
Cassandra8.8%
Redis7.8%
Other72.1%
NoSQL Databases
 

Featured Reviews

Arnab Chatterjee - PeerSpot reviewer
Regional Head of Data and Application Platform at a financial services firm with 10,001+ employees
It's flexible and easily accessible across multiple locations, but the upgrade process is complicated
Upgrading Ezmeral to a new version is a pain. They're trying to make the solution more container-friendly, so I think they're going in the right direction. The only problem we've had in the past was the upgrades. The process isn't smooth due to how the Red Hat operating system upgrades currently work. They're transforming their host stack to increase cloud readiness and edge compute capability. HPE is transitioning from a standard data-driven approach to one powered by AI analytics. That's something they have released very recently. I haven't tried that, but it will probably make things easier. The ability to adapt Ezmeral to the public cloud is probably missing. I've heard that they're getting leaner. However, it doesn't have a clear managed services offering for you if you want to deploy this stack on the cloud. That's a problem. This probably won't meet your needs if you require consistency across on-prem and the cloud. It's not Ezmeral's fault. None of the products would fit the bill. Cloud offerings are biased towards their own implementation. It's a general issue on most big data platforms. They're already working towards that, but it hasn't been released.
Romel Jr Zerna - PeerSpot reviewer
Software Engineer at Pioneer Dev AI
Document data has streamlined prototyping and now supports secure cloud deployments
I use the cloud version of the product. MongoDB Enterprise Advanced is from MongoDB, though I also use DigitalOcean as a third-party provider. Maybe it's all more about preferences. I think MongoDB Enterprise Advanced has weak support on the ORM side, particularly if you're using Prisma. I think mostly the focus now on the tools we have is PostgreSQL. MongoDB Enterprise Advanced is not really used that much on our side for production. It's not really a weak point. It's more of a double-edged sword. If you like document-based management databases and you don't want any migrations, then you go to MongoDB Enterprise Advanced. If you want more secure databases, then you use SQL. On the account management and the way you secure the connection strings, I have utilized advanced security features with MongoDB Enterprise Advanced. I think it's very expensive on the Atlas enterprise side. But if you go to other providers of MongoDB Enterprise Advanced, such as DigitalOcean, it may be harder to set up, but they can save you money.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"My first choice is MapR, as it is more adaptable to different contexts, and it could be customized in some way to fit the different needs, and this is my first choice and my first advice to people who ask me about this particular platform."
"This product enabled us opening up endless possibilities in data analytics, IOE/IOT, and predictive analysis."
"Outside of human error, MapR is probably the most stable of the major releases."
"My customers find the product cheaper compared to other solutions. The previous solution that we used did not have unified analytics like the runtime or the analog."
"MapR is a great distribution, although I have limited experience with other distributors."
"Initial setup is rather straightforward thanks to detailed documentation covering all the bases."
"I like the administration part."
"Our customer purchased a paid support service and so far MapR has addressed our issues well."
"I like the schemaless architecture that it follows. I also like the sharding that it provides."
"MongoDB is extremely developer-friendly because when you are starting, there is very little time needed upfront in terms of planning."
"Easier to maintain the data with its document-based storage."
"The support from MongoDB has been great; we had to work with them during the data validation and support was helpful, with a lot of people giving revisions during the migration and working for every dollar paid, and we had a good experience with their technical support team."
"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."
"We haven't had any issues with stability."
"MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial."
"The solution is a very dynamic product, it becomes extremely easy for us to support user requirements and we also make use of the simplicity of a cloud redeployment."
 

Cons

"The product is not user-friendly."
"HPE Ezmeral Data Fabric is not compatible with third-party tools."
"The deployment could be faster. I want more support for the data lake in the next release."
"Installations and setups are still a bit cryptic and can be improved."
"One weakness for MapR is the Kerberos support."
"It'd like to see file system auditing, data encryption, and certification of other vendors' tools."
"I'd say we've had issues with pricing."
"The interface part, what I'm calling the integration part, could be improved."
"The stability could be improved."
"The performance of the solution could be improved."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
"Enhancing the documentation to make it more beginner-friendly is crucial."
"The solution could include more integrations with other platforms."
"I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches."
"The dashboard is an area of concern in the solution where improvements are required."
"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."
 

Pricing and Cost Advice

"HPE is flexible with you if you are an existing customer. They offer different models that might be beneficial for your organization. It all depends on how you negotiate."
"The tool's price is cheap and based on a usage basis. The solution's licensing costs are yearly and there are no extra costs."
"There is a need for my company to pay for the licensing costs of the solution."
"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"There is an enterprise license and it could be cheaper. We are using the free open source version."
"MongoDB is an open-source product."
"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."
"MongoDB's pricing is reasonable."
"I believe that the licensing fees are paid on a yearly basis."
"It's a community edition, so we do not pay anything."
"At the moment, all customers are using the community version."
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Top Industries

By visitors reading reviews
Construction Company
17%
Financial Services Firm
15%
Comms Service Provider
10%
Healthcare Company
10%
Financial Services Firm
14%
Manufacturing Company
9%
Outsourcing Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Large Enterprise7
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise39
 

Questions from the Community

Ask a question
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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.
 

Also Known As

MapR, MapR Data Platform
No data available
 

Overview

 

Sample Customers

Valence Health, Goodgame Studios, Pico, Terbium Labs, sovrn, Harte Hanks, Quantium, Razorsight, Novartis, Experian, Dentsu ix, Pontis Transitions, DataSong, Return Path, RAPP, HP
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
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