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MongoDB VS ArcGIS

Compare MongoDB VS ArcGIS and see what are their differences

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MongoDB logo MongoDB

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

ArcGIS logo ArcGIS

ArcGIS software is a data analysis, cloud-based mapping platform that allows users to customize maps and see real-time data ranging from logistics support to overall mapping analysis.
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • ArcGIS Landing page
    Landing page //
    2023-03-22

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.

ArcGIS features and specs

  • Comprehensive Toolset
    ArcGIS offers a wide range of tools for data analysis, map creation, spatial analytics, and geoprocessing, making it suitable for a variety of GIS applications.
  • Data Integration
    ArcGIS supports integration with various data types and formats, including CAD, satellite imagery, and real-time data streams, providing flexibility in data management.
  • User Community and Support
    ArcGIS has a large, active user community and extensive support resources, including online forums, tutorials, and documentation, facilitating user assistance and knowledge sharing.
  • Scalability
    ArcGIS is scalable from single-user desktop applications to enterprise-wide deployments, allowing organizations of all sizes to leverage its capabilities.
  • Advanced Spatial Analysis
    ArcGIS provides advanced spatial analysis capabilities, including 3D mapping, network analysis, and spatial statistics, enabling in-depth geographic insights.

Possible disadvantages of ArcGIS

  • Cost
    ArcGIS can be expensive, requiring significant investment for licensing, maintenance, and potentially additional modules or extensions.
  • Learning Curve
    The software has a steep learning curve, particularly for new users, due to its comprehensive and complex functionalities.
  • Resource Intensive
    ArcGIS can be resource-intensive, requiring robust hardware and processing power, which may be a limitation for users with older or less powerful systems.
  • Closed Ecosystem
    ArcGIS operates within a largely proprietary ecosystem, which can limit compatibility and integration with non-Esri systems and tools.
  • Maintenance and Updates
    Frequent updates and maintenance requirements can be time-consuming and sometimes disrupt workflow, necessitating constant attention from IT staff.

Analysis of MongoDB

Overall verdict

  • MongoDB is generally regarded as a good database solution for applications needing flexibility, scalability, and fast development times. However, it may not be the best choice for applications requiring complex transactions or where ACID compliance is critical, as it originally prioritized availability over consistency. Recent improvements, including multi-document transactions, have addressed some concerns, making it more versatile.

Why this product is good

  • MongoDB is considered a good choice for certain types of applications due to its flexible schema design, scalability, horizontal scaling capabilities, and ease of use for developers who require rapid development cycles. It supports a wide range of data types and allows for full-text search, geospatial queries, and aggregation operations. MongoDB's document-oriented storage makes it well-suited for handling large volumes of unstructured data. Its robust ecosystem, including Atlas for cloud deployments, adds to its appeal by offering automated scaling, backups, and distributed architecture.

Recommended for

  • Applications requiring high scalability and performance with unstructured data
  • Real-time analytics and big data applications
  • Web and mobile applications needing rapid development and flexible data models
  • Projects that benefit from cloud-native solutions with managed services

Analysis of ArcGIS

Overall verdict

  • Yes, ArcGIS is considered a highly effective and efficient tool for GIS professionals and organizations that require advanced spatial analysis and mapping capabilities. Its comprehensive and scalable solutions make it a leading choice in the GIS industry.

Why this product is good

  • ArcGIS by Esri is a comprehensive geographic information system (GIS) platform known for its robust functionalities and tools that support spatial analysis, data visualization, and geographic mapping. The platform is widely used across various industries, including urban planning, environmental science, government, and utilities. It offers powerful features such as geospatial analysis, data integration capabilities, a wide range of mapping tools, and support for a broad array of data formats. Furthermore, with its continuous updates and improvements, users benefit from the latest advancements in GIS technology.

Recommended for

  • Urban Planners
  • Environmental Scientists
  • Government Agencies
  • Utility Companies
  • Educational Institutions
  • Transportation and Logistics Companies
  • Real Estate Developers
  • Public Safety and Emergency Response Organizations

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

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

ArcGIS videos

+ Add

What is ArcGIS?

More videos:

  • Review - ArcGIS Data Reviewer: An Introduction
  • Review - ArcGIS Data Reviewer: Integrating Data Quality Control into Web Applications
  • Review - ArcGIS Review: History teacher heaven!
  • Review - ArcGIS Review: WJCUD mapping and asset collection

Category Popularity

0-100% (relative to MongoDB and ArcGIS)

MongoDB

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

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Reviews

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

ArcGIS Reviews

Top 7 ArcGIS Alternatives For Your GIS Needs
ArcGIS is a scalable and secure GIS software platform developed by Esri. It enables customers to enhance decision-making by collecting, managing, and analyzing data and sharing apps and maps with a collaborative and connected online geographic information system. From transportation to retail, urban planning, and even retail management, ArcGIS offers applications for every...
Source: nextbillion.ai
Top 10 GIS Software Tools And Solutions
Despite its strengths, ArcGIS Pro does have some limitations. The high licensing cost can be a significant barrier, particularly for smaller organisations or individual users. Project files can become bulky, which may affect performance and storage. MXD file conversions often result in missing objects, which can complicate transitions from older versions of ArcGIS. License...
Source: em360tech.com
Top 3 GIS & Map Dashboard Software to Watch in 2025
ArcGIS Dashboards, part of Esri's ArcGIS ecosystem, is designed for professionals who need detailed geospatial analysis and sophisticated map dashboards.
Source: atlas.co
18 Top Google Places API Alternatives for Points of Interest Data in 2022
If you’re an ArcGIS user, you can use its geocoding service to search for a location and return complete addresses. You can also use it to search for name of a business within a specific distance from a location or find places by category name.
Source: traveltime.com
The Top 10 Alternatives to ArcGIS
GIS software is a powerful tool that enables for the presentation, collection, manipulation, management, and analysis of spatial data. It is therefore no surprise that it is used in such a variety of industries ranging from transportation and infrastructure, to environmental planning and disaster response. Currently, ArcGIS is one of the world-leading GIS software available,...
Source: equatorstudios.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 / 3 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 / 10 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

ArcGIS mentions (0)

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

What are some alternatives?

When comparing MongoDB and 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.

OSGeo - QGIS is a desktop geographic information system, or GIS.

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

Google Maps - Find local businesses, view maps and get driving directions in Google Maps.

MySQL - The world's most popular open source database

Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.

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