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MongoDB VS Esri ArcGIS

Compare MongoDB VS Esri ArcGIS and see what are their differences

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MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Esri ArcGIS logo Esri ArcGIS

ArcGIS provides contextual tools for mapping and spatial reasoning so you can explore data & share location-based insights. ArcGIS is the heart of the Esri Geospatial Cloud. Try ArcGIS for free with 21-day trial.
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • Esri ArcGIS Landing page
    Landing page //
    2023-02-14

MongoDB features and specs

  • Scalability
    MongoDB offers horizontal scaling through sharding, allowing it to handle large volumes of data and enabling distributed computing.
  • Flexible Schema
    It allows for a flexible schema design using BSON (Binary JSON), making it easier to iterate and change application data models.
  • High Performance
    MongoDB is optimized for read and write throughput, making it suitable for real-time applications.
  • Rich Query Language
    Supports a rich and expressive query language that allows for efficient querying and analytics.
  • Built-in Replication
    Provides robust replication mechanisms for high availability and redundancy.
  • Geospatial Indexing
    Offers powerful geospatial indexing capabilities, useful for location-based applications.
  • Aggregation Framework
    Enables complex data manipulations and transformations using the aggregation pipeline framework.
  • Cross-Platform
    Works on multiple operating systems, enhancing its versatility and deployment options.

Possible disadvantages of MongoDB

  • Memory Usage
    MongoDB can consume a large amount of memory due to its use of memory-mapped files, which may be a concern for some applications.
  • Complex Transactions
    While MongoDB supports ACID transactions, they can be more complex to implement and less efficient compared to traditional relational databases.
  • Data Redundancy
    The flexible schema design can lead to data redundancy and increased storage costs if not managed carefully.
  • Limited Joins
    Joins are supported but can be less efficient and more limited compared to relational databases, affecting complex relational data querying.
  • Indexing Overhead
    Extensive indexing can introduce overhead and impact performance, especially during write operations.
  • Learning Curve
    Requires a different mindset and understanding compared to traditional relational databases, which can present a learning curve for new users.
  • Lacks Mature Analytical Tools
    The ecosystem for analytical tools around MongoDB is not as mature as those for traditional relational databases, which might limit advanced analytics capabilities.
  • Cost
    The cost of using MongoDB's cloud services (MongoDB Atlas) can be high, especially for large-scale deployments.

Esri ArcGIS features and specs

  • Comprehensive Toolset
    ArcGIS offers a wide range of tools for mapping, spatial analysis, data management, and more, making it a versatile platform for various GIS needs.
  • Scalability
    ArcGIS can scale from individual use on a desktop to extensive enterprise deployments, allowing it to meet the needs of small projects as well as large organizations.
  • Integration Capabilities
    The platform supports integration with other software systems and databases, as well as various APIs, enabling seamless data sharing and workflow integration.
  • Robust Support and Documentation
    Esri provides extensive documentation, a comprehensive support system, and a vibrant user community, which can be invaluable for troubleshooting and learning.
  • Advanced Spatial Analysis
    ArcGIS includes powerful spatial analysis tools and machine learning capabilities to reveal patterns and insights from spatial data.
  • Regular Updates and Innovations
    Esri regularly updates ArcGIS, introducing new features, tools, and improvements to keep up with technology advancements and user requirements.
  • Cloud Services
    ArcGIS Online and ArcGIS Enterprise offer cloud-based solutions, providing robust data hosting, sharing, and collaboration capabilities.

Possible disadvantages of Esri ArcGIS

  • Cost
    ArcGIS can be expensive, especially for small organizations or individuals, as it requires a subscription or purchase of licenses for access to its full range of features.
  • Learning Curve
    Due to its comprehensive toolset, ArcGIS can have a steep learning curve, requiring significant time and training to master.
  • Hardware Requirements
    Running ArcGIS, particularly for large datasets and complex analyses, can require powerful hardware, which might necessitate additional infrastructure investment.
  • Complexity
    The software's extensive capabilities can sometimes be overwhelming, making it challenging for users to find and employ the right tools for their specific needs.
  • Licensing Complexity
    ArcGIS has multiple products and licensing options, which can be confusing and might require careful consideration to choose the best suited for the user's needs.
  • Dependency on Internet
    Some of the cloud-based features of ArcGIS require a stable internet connection, which can be a limitation in areas with poor connectivity.
  • Proprietary Software
    ArcGIS is not open-source, which means that users do not have full control over the software and its customizability might be limited compared to open-source GIS platforms.

MongoDB videos

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MySQL vs MongoDB

More videos:

  • Review - The Good and Bad of MongoDB
  • Review - what is mongoDB

Esri ArcGIS videos

No Esri ArcGIS videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to MongoDB and Esri ArcGIS)

MongoDB

Esri ArcGIS

Databases
100 100%
Databases
0% 0
Maps
0 0%
Maps
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Mapping And GIS
0 0%
Mapping And GIS
100% 100

User comments

Share your experience with using MongoDB and Esri ArcGIS. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare MongoDB and Esri ArcGIS

MongoDB Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
MongoDB’s superpower lies in its flexibility. Its document-based model lets you store data in a free-form, schema-less way, making it adaptable to evolving application needs. Need to add a new field or change the structure of your data? No problem, MongoDB handles it with ease.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
MongoDB Realm provides a robust alternative to Firebase, especially for apps requiring a flexible data model. Key features include:
Source: signoz.io
Announcing FerretDB 1.0 GA - a truly Open Source MongoDB alternative
MongoDB is no longer open source. We want to bring MongoDB database workloads back to its open source roots. We are enabling PostgreSQL and other database backends to run MongoDB workloads, retaining the opportunities provided by the existing ecosystem around MongoDB.
Source: blog.ferretdb.io
16 Top Big Data Analytics Tools You Should Know About
The database added a new feature to its list of attributes called MongoDB Atlas. It is a global cloud database technology that allows to deploy a fully managed MongoDB across AWS, Google Cloud, and Azure with its built-in automation for resource, workload optimization and to reduce the time required to handle the database.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
MongoDB is an open source NoSQL DBMS which uses a document-oriented database model. It supports various forms of data. However, in MongoDB data consumption is high due to de-normalization.
Source: www.guru99.com

Esri ArcGIS Reviews

6 Best GIS Software 2024
On the flip side, utilizing Esri software may necessitate a significant time investment to master its intricate features, and is considered costly when compared to more budget-friendly alternatives. Ultimately, Esri ArcGIS stands as a strong GIS and data visualization ecosystem. Nevertheless, it is essential to carefully weigh the pros and cons to determine if it aligns with...
Source: www.caliper.com

Social recommendations and mentions

Based on our record, MongoDB seems to be more popular. It has been mentiond 18 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

MongoDB mentions (18)

  • Creating AI Memories using Rig & MongoDB
    In this article, we’ll build a CLI tool using the Rig AI framework and MongoDB for retrieval-augmented generation (RAG). This tool will store summarized conversations in a database and retrieve them when needed, enabling the AI to maintain context over time. - Source: dev.to / 2 months ago
  • The Adventures of Blink S2e2: Database, Contained
    Have a Mongo database holding the various phrases we're going to use and potentially configuration data for the frontend as well. - Source: dev.to / 9 months ago
  • Introducing Perseid: The Product-oriented JS framework
    It's also worth mentioning that Perseid provides out-of-the-box support for React, VueJS, Svelte, MongoDB, MySQL, PostgreSQL, Express and Fastify. - Source: dev.to / 9 months ago
  • DocumentDB Elastic Cluster Pricing
    Does anyone know if the most basic Elastic Cluster instance of DocumentDB carries any monthly fixed cost or is it just on-demand cost? Another words if I run like 10,000 queries against the DB per month, what kind of bill would I expect? This is for a super small app. I am currently using mongodb free tier , but want to migrate everything to AWS. Can't seem to find a straight answer to the pricing question. Source: over 2 years ago
  • I wrote some scripts for converting the UTZOO Usenet archive to a Mongo Database
    You can use either MongoDB.com's dashboard (if you host a remote database) or Mongo Compass to run queries on the data or you can modify the express middleware with your own queries. I'm still working on the API, so it's not very robust yet. I will update this when it is. Source: over 2 years ago
View more

Esri ArcGIS mentions (0)

We have not tracked any mentions of Esri ArcGIS yet. Tracking of Esri ArcGIS recommendations started around Mar 2021.

What are some alternatives?

When comparing MongoDB and Esri ArcGIS, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

ArcGIS Pro - Explore ArcGIS Pro resources such as tutorials, videos, documentation, instructor-led classes & more. Find answers, build expertise and connect with the ArcGIS Pro community.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Maptitude - Maptitude is a mapping software that is fitted with GIS features that avail maps and other forms of data regarding the surrounding geographical areas. Read more about Maptitude.

MySQL - The world's most popular open source database

Google Earth Pro - Google Earth Pro allows you fly anywhere around the earth to view satellite imagery, maps, 3D building, and terrain, from galaxies in outer space to the canyons of the ocean.

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