Cloudera Distribution for Hadoop vs MarkLogic vs MongoDB comparison

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Cloudera Logo
772 views|598 comparisons
91% willing to recommend
MarkLogic Logo
234 views|176 comparisons
100% willing to recommend
MongoDB Logo
9,269 views|6,523 comparisons
91% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Cloudera Distribution for Hadoop, MarkLogic, and MongoDB based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: April 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Very good end-to-end security features.""The data science aspect of the solution is valuable.""Cloudera is a very manageable solution with good support.""It is helpful to gather and process data.""The solution's most valuable feature is the enterprise data platform.""With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility.""We also really like the Cloudera community. You can have any question and will have your answer within a few hours.""The scalability of Cloudera Distribution for Hadoop is excellent."

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"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.""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."

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"My impression is that the initial setup is straightforward.""We decided to work with MongoDB as its interface is easier to understand and more universal.""I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too.""It is easy to use.""It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement.""I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle.""It is a stable solution. Stability-wise, I rate the solution a nine out of ten...Overall, MongoDB has helped manage and analyze attachment data.""The solution is user-friendly with a good object retrieval feature."

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Cons
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better.""Cloudera's support is extremely bad and cannot be relied on.""There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon.""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.""This is a very expensive solution.""There are multiple bugs when we update.""I would like to see an improvement in how the solution helps me to handle the whole cluster.""It could be faster and more user-friendly."

More Cloudera Distribution for Hadoop 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."

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"There are some problems with bugs appearing in sharding when the data is too high.""The stability could be improved.""You need integration with other tools to run the query in MongoDB.""We'd like technical support to respond faster to queries.""I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials.""The solution can be a bit tough to set up if you don't have knowledge about how the database works.""The product's data consistency could be more efficient than traditional SQLs.""I have found the solution difficult to operate as an administrator."

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."
  • "The price is very high. The solution is expensive."
  • "The solution is expensive."
  • More Cloudera Distribution for Hadoop 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."
  • More MarkLogic Pricing and Cost Advice →

  • "We are using the Community Edition of MongoDB."
  • "It is rather expensive."
  • "MongoDB is an open-source solution."
  • "This is an open-source solution."
  • "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."
  • More MongoDB Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool can be deployed using different container technologies, which makes it very scalable.
    Top Answer:The tool is expensive. Overall, it's not a cheap software tool, and that is why only large enterprises who are mature… more »
    Top Answer:The tool's ability to be deployed on a cloud model is an area of concern where improvements are required. The tool works… more »
    Top Answer:The rules can show us if there are missing items, like titles, and we can add them in to ensure everything is filled and… more »
    Top Answer:It's a costly product. However, their reputation justifies the cost. It's a trusted product.
    Top Answer:The spreadsheet capabilities could be improved. We need to convert spreadsheets into an open XML format. We have to do a… more »
    Top Answer:We decided to work with MongoDB as its interface is easier to understand and more universal.
    Top Answer:MongoDB is an open-source product. We don't have to pay for the licenses.
    Top Answer:They could provide more documentation and examples for adding pipeline stages. There could be a feature where commands… more »
    Ranking
    5th
    out of 18 in NoSQL Databases
    Views
    772
    Comparisons
    598
    Reviews
    14
    Average Words per Review
    409
    Rating
    8.1
    9th
    out of 18 in NoSQL Databases
    Views
    234
    Comparisons
    176
    Reviews
    2
    Average Words per Review
    587
    Rating
    9.5
    1st
    out of 18 in NoSQL Databases
    Views
    9,269
    Comparisons
    6,523
    Reviews
    27
    Average Words per Review
    355
    Rating
    8.0
    Comparisons
    Learn More
    Overview
    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.
    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).

    Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses. To learn more, visit www.mongodb.com.

    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.”

    Sample Customers
    37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
    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
    Facebook, MetLife, City of Chicago, Expedia, eBay, Google
    Top Industries
    REVIEWERS
    Financial Services Firm25%
    Computer Software Company21%
    Insurance Company14%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company16%
    Educational Organization9%
    Manufacturing Company8%
    No Data Available
    REVIEWERS
    Computer Software Company28%
    Financial Services Firm16%
    Legal Firm6%
    Government6%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company13%
    Comms Service Provider7%
    University6%
    Company Size
    REVIEWERS
    Small Business28%
    Midsize Enterprise17%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise9%
    Large Enterprise75%
    No Data Available
    REVIEWERS
    Small Business41%
    Midsize Enterprise14%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise14%
    Large Enterprise62%
    Buyer's Guide
    NoSQL Databases
    April 2024
    Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases. Updated: April 2024.
    768,740 professionals have used our research since 2012.