Apache HBase vs MongoDB comparison

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Executive Summary

We performed a comparison between Apache HBase and MongoDB based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, Couchbase, Apache and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: March 2024).
765,386 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
"Apache HBase is a database used for data storage."

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"The most valuable feature is the geometric information done with GeoJSON.""I like the schemaless architecture that it follows. I also like the sharding that it provides.""We've found the product to be scalable.""The most valuable feature of MongoDB is the NoSQL database. In a SQL database, we need to join data together with a unique ID amongst other things, but in MongoDB, it's not required. We can directly receive all the information. The performance is very good. Additionally, they have frequent updates.""It is very fast - faster than an SQL or MySQL Server.""Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability.""We find the query and speed very valuable.""The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."

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Cons
"I don't like using Apache HBase to store huge amounts of data because of many performance issues."

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"They could provide more documentation and examples for adding pipeline stages.""From my point of view, they need a totally free IDE to work at high levels.""MongoDB could be more secure.""There is a need for improvement in MongoDB's customer support.""It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements.""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 MongoDB documentation can be a little complicated sometimes.""The dashboard is an area of concern in the solution where improvements are required."

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Pricing and Cost Advice
Information Not Available
  • "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:Apache HBase is a database used for data storage.
    Top Answer:I don't like using Apache HBase to store huge amounts of data because of many performance issues.
    Top Answer:I would not recommend Apache HBase to other users. There are more efficient solutions available in the market that have fixed many limitations presented by Apache HBase. Overall, I rate Apache HBase 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 made in MongoDB could be easily copied and shared in their original format. This… more »
    Ranking
    10th
    out of 16 in NoSQL Databases
    Views
    1,372
    Comparisons
    1,311
    Reviews
    1
    Average Words per Review
    157
    Rating
    4.0
    1st
    out of 16 in NoSQL Databases
    Views
    9,850
    Comparisons
    6,997
    Reviews
    27
    Average Words per Review
    353
    Rating
    8.0
    Comparisons
    Accumulo logo
    Compared 39% of the time.
    ScyllaDB logo
    Compared 19% of the time.
    Cassandra logo
    Compared 8% of the time.
    Aerospike Database logo
    Compared 6% of the time.
    CouchDB logo
    Compared 6% of the time.
    InfluxDB logo
    Compared 28% of the time.
    Couchbase logo
    Compared 18% of the time.
    ScyllaDB logo
    Compared 14% of the time.
    Oracle NoSQL logo
    Compared 6% of the time.
    Also Known As
    HBase
    Learn More
    Overview
    Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's BigTable. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

    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
    Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA
    Facebook, MetLife, City of Chicago, Expedia, eBay, Google
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm18%
    Manufacturing Company9%
    Educational Organization7%
    REVIEWERS
    Computer Software Company26%
    Financial Services Firm16%
    Legal Firm6%
    Government6%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Comms Service Provider7%
    University6%
    Company Size
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise10%
    Large Enterprise65%
    REVIEWERS
    Small Business40%
    Midsize Enterprise14%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise14%
    Large Enterprise62%
    Buyer's Guide
    NoSQL Databases
    March 2024
    Find out what your peers are saying about MongoDB, Couchbase, Apache and others in NoSQL Databases. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    Apache HBase is ranked 10th in NoSQL Databases with 1 review while MongoDB is ranked 1st in NoSQL Databases with 68 reviews. Apache HBase is rated 4.0, while MongoDB is rated 8.2. The top reviewer of Apache HBase writes "The solution has many performance issues, though it helps manage consumer data sets". On the other hand, the top reviewer of MongoDB writes "Lightweight with good flexibility and very fast performance for searching data". Apache HBase is most compared with Accumulo, ScyllaDB, Cassandra, Aerospike Database and CouchDB, whereas MongoDB is most compared with InfluxDB, Couchbase, ScyllaDB, Oracle NoSQL and Cloudera Distribution for Hadoop.

    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.