IT Central Station is now PeerSpot: Here's why

Cloudera Distribution for Hadoop vs MongoDB comparison

You must select at least 2 products to compare!
Featured Review
Buyer's Guide
Cloudera Distribution for Hadoop vs. MongoDB
July 2022
Find out what your peers are saying about Cloudera Distribution for Hadoop vs. MongoDB and other solutions. Updated: July 2022.
621,703 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"I don't see any performance issues.""We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization.""With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility.""The product as a whole is good.""The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on.""The file system is a valuable feature.""CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools.""The solution is reliable and stable, it fits our requirements."

More Cloudera Distribution for Hadoop Pros →

"MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast.""The solution's most important aspect is its seamless database.""The solution is user-friendly with a good object retrieval feature.""The initial setup isn't really that complex.""I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle.""The installation is very easy to do and understand.""It is easy to use.""One of the most valuable features is the ability to Text Search can be used anywhere and anytime."

More MongoDB Pros →

"It could be faster and more user-friendly.""It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform.""The initial setup of Cloudera is difficult.""Cloudera's support is extremely bad and cannot be relied on.""Currently, we are using many other tools such as Spark and Blade Job to improve the performance.""The security of this solution could be improved. There should also be a way to basically have a blockchain enabled storage with the HDFS.""The procedure for operations could be simplified.""Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."

More Cloudera Distribution for Hadoop Cons →

"The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture.""The performance can be improved.""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.""The performance could be faster.""The solution should have better integration.""I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials.""The solution could have more integration.""Lacks sufficient scalability and elasticity."

More MongoDB Cons →

Pricing and Cost Advice
  • "When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
  • "The price could be better for the product."
  • "I haven't bought a license for this solution. I'm only using the Apache license version."
  • "Cloudera requires a license to use."
  • "Cloudera Distribution for Hadoop is expensive, with support costs involved."
  • "I wouldn't recommend CDH to others because of its high cost."
  • More Cloudera Distribution for Hadoop Pricing and Cost Advice →

  • "We use the open-source version, which is available to use free of charge."
  • "I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
  • "MongoDB is not expensive."
  • "At the moment, all customers are using the community version."
  • "If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."
  • "It's a community edition, so we do not pay anything."
  • "Our customers pay for yearly licenses for MongoDB."
  • "It's open-source."
  • More MongoDB Pricing and Cost Advice →

    Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.
    621,703 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:MongoDB is a very reliable and stable No-SQL engine. It's a document-based database, and use Javascript as its query language: depending on the developer expertise and skills, this could be an… more »
    Top Answer:It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle.
    Top Answer:MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or… more »
    out of 16 in NoSQL Databases
    Average Words per Review
    out of 16 in NoSQL Databases
    Average Words per Review
    Learn More
    Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.

    MongoDB is a popular data management solution with a NoSQL database that enables you to store and process structured and semi-structured data with ease. The solution is scalable and flexible, and is designed to overcome the relational databases approach and the limitations of other NoSQL solutions. In addition, MongoDB stands apart as the cloud database platform of choice for enterprise applications that require real-time analytics.

    MongoDB Features

    MongoDB has many valuable key features. Some of the most useful ones include:

    • Load balancing: MongoDB supports large-scale load balancing via horizontal scaling features like replication and sharding.
    • Ad-hoc queries: With this feature, developers are able to update ad-hoc queries in real time.
    • Sharding: With MongoDB, sharding allows for much greater horizontal scalability, with queries that are directed to the correct shard based on specific shard keys.
    • Indexing: MongoDB allows indexing to be created on demand, accommodating real-time, ever-changing query patterns and application requirements. They can also be declared on any field within any document, including those nested within arrays.
    • Replication: MongoDB’s replication feature enables you to deploy multiple servers for disaster recovery and backup, which helps increase data availability and stability.

    MongoDB Benefits

    There are many benefits to implementing MongoDB. Some of the biggest advantages the solution offers include:

    • Horizontal architecture: Because MongoDB is designed with horizontal architecture, it is easy to scale.
    • Developer-friendly: Being that MongoDB is a document data model with NoSQL, developers are able to work faster. In addition, MongoDB gives developers a number of useful out-of-the-box capabilities, whether you need to run privately on site or in the public cloud.
    • Cloud-based: Because MongoDB is a full cloud-based application data platform, you gain access to a collection of services that can integrate nicely with your database.
    • Powerful analytics: MongoDB is designed to make data easy to access, and also allows you to perform complex analytics and querying.
    • High performance: With MongoDB, information can be embedded inside a single document rather than relying on expensive join operations from traditional relational databases.
    • Easy to install: MongoDB has an intuitive UI, making it easy to install. You can install the community or enterprise version directly on a server, create your own container, or use a pre-built community one.
    • Cost-effective: MongoDB gives you the option to choose an instance size that fits your current needs to help you keep your costs at a minimum.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the MongoDB solution.

    PeerSpot user Deepak K., Managing Director at SimSol Technologies And Services Pvt Ltd., says, “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.” He goes on to add, “The solution is easy to deploy, and the product can scale quite well. The solution's most important aspect is its seamless database. The solution offers excellent documentation.”

    A Senior Associate at a financial services firm mentions, “The most valuable feature of the solution is the ability to easily store documentation regarding structures. We can easily connect to MongoDB and search without transformation, without joining. If we want to use a simple search it's really fast. The initial setup isn't really that complex. The solution is pretty stable overall.”

    Learn more about Cloudera Distribution for Hadoop
    Learn more about MongoDB
    Sample Customers
    37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
    Facebook, MetLife, City of Chicago, Expedia, eBay, Google
    Top Industries
    Financial Services Firm33%
    Computer Software Company22%
    Insurance Company11%
    Marketing Services Firm11%
    Computer Software Company24%
    Comms Service Provider19%
    Financial Services Firm13%
    Financial Services Firm24%
    Computer Software Company24%
    Real Estate/Law Firm5%
    Comms Service Provider24%
    Computer Software Company18%
    Financial Services Firm10%
    Company Size
    Small Business26%
    Midsize Enterprise23%
    Large Enterprise51%
    Small Business16%
    Midsize Enterprise12%
    Large Enterprise72%
    Small Business38%
    Midsize Enterprise17%
    Large Enterprise46%
    Small Business19%
    Midsize Enterprise18%
    Large Enterprise63%
    Buyer's Guide
    Cloudera Distribution for Hadoop vs. MongoDB
    July 2022
    Find out what your peers are saying about Cloudera Distribution for Hadoop vs. MongoDB and other solutions. Updated: July 2022.
    621,703 professionals have used our research since 2012.

    Cloudera Distribution for Hadoop is ranked 2nd in NoSQL Databases with 10 reviews while MongoDB is ranked 1st in NoSQL Databases with 34 reviews. Cloudera Distribution for Hadoop is rated 7.4, while MongoDB is rated 8.2. The top reviewer of Cloudera Distribution for Hadoop writes "Stores large volumes of data and makes log analytics, monitoring, and management easier, but its feature list is limited". On the other hand, the top reviewer of MongoDB writes "Good pricing and very fast but needs to showcase more use cases". Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, Apache Spark, SingleStore and Hortonworks Data Platform, whereas MongoDB is most compared with Couchbase, InfluxDB, Cassandra, Oracle NoSQL and CouchDB. See our Cloudera Distribution for Hadoop vs. MongoDB 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.