Software Alternatives, Accelerators & Startups

MongoDB VS DBeaver

Compare MongoDB VS DBeaver and see what are their differences

MongoDB logo MongoDB

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

DBeaver logo DBeaver

DBeaver - Universal Database Manager and SQL Client.
  • MongoDB Landing page
    Landing page //
    2023-10-21
  • DBeaver Landing page
    Landing page //
    2023-05-12

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.

DBeaver features and specs

  • Cross-Platform Compatibility
    DBeaver is available on Windows, macOS, and Linux, making it accessible to a wide range of users regardless of their operating system.
  • Multi-database Support
    Supports a wide range of databases like MySQL, PostgreSQL, Oracle, SQL Server, SQLite, and many others, enabling users to manage multiple database types within a single tool.
  • User-friendly Interface
    Offers a clean and intuitive UI that helps users to easily navigate and manage their databases with minimal effort.
  • Open Source
    DBeaver Community Edition is open source and free to use, making it cost-effective for individual developers and small teams.
  • Advanced Features
    Includes features like ER diagrams, SQL editor, data transfer tools, and data visualization, which enhance productivity and data analysis.
  • Extensibility
    Supports plugins and extensions, allowing users to add new features or customize existing ones to suit their specific needs.
  • Regular Updates
    Active development and frequent releases ensure that users have access to the latest features and security patches.

Possible disadvantages of DBeaver

  • Performance Issues
    For large datasets or complex queries, users might experience slower performance compared to other high-end database tools.
  • Learning Curve
    While the interface is user-friendly, new users may still face a learning curve to fully utilize all the advanced features.
  • Limited Support for Community Edition
    The support for the free Community Edition is limited to community forums and online documentation, which might not be sufficient for some users.
  • Resource Intensive
    Can consume a significant amount of system resources, especially when running multiple queries or managing large databases.
  • Feature Limitations in Community Edition
    Certain advanced features and plugins are only available in the Enterprise Edition, limiting the full capabilities for users of the free version.

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 DBeaver

Overall verdict

  • Yes, DBeaver is generally regarded as a highly effective and robust tool for database management, suitable for both beginners and experienced developers.

Why this product is good

  • DBeaver is considered a good tool because it provides a comprehensive and user-friendly interface for database management. It supports a wide range of databases including MySQL, PostgreSQL, Oracle, SQL Server, and many more. DBeaver offers features like a visual query builder, ER diagrams, data export/import, and SQL editor with auto-complete functions. Its open-source nature allows for continuous community-driven improvements.

Recommended for

  • Database administrators looking for a versatile management tool.
  • Developers needing a cross-platform database IDE.
  • Data analysts and those working extensively with SQL databases.
  • Anyone looking for a free or open-source database management solution with premium support available.

MongoDB videos

MySQL vs MongoDB

More videos:

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

DBeaver videos

Dbeaver | Best Database Client Tool | An Overview.

More videos:

  • Review - Hello, SQL DBeaver style
  • Review - Awesome Free SQL Client for Database Developer | Dbeaver Community Edition

Category Popularity

0-100% (relative to MongoDB and DBeaver)
Databases
43 43%
57% 57
NoSQL Databases
100 100%
0% 0
MySQL Tools
0 0%
100% 100
Relational Databases
100 100%
0% 0

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 DBeaver

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.
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.
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

DBeaver Reviews

Top 5 Dynobase alternatives you should know about - March 2025 Review
Pricing: DBeaver Community is free and open-source but doesn’t include DynamoDB support. DBeaver Lite (with NoSQL support) starts at approximately $10 per month per user. CloudBeaver has both free community and paid enterprise editions.
Source: www.dynomate.io
TOP 10 IDEs for SQL Database Management & Administration [2024]
DBeaver is one of the most popular multi-database solutions designed for performing various types of database tasks across all the popular database management systems. Extensive customization options allow the users to adjust the software precisely to their needs. The robust functionality of the software and a neat graphical user interface suit the requirements of database...
Source: blog.devart.com
5 Free & Open Source DBeaver Alternatives for 2024
Like DBeaver, it is compatible with a lot of database engines such as MySQL, PostgreSQL, Oracle, and SQL Server, among others. Being based on Java and JDBC is a benefit for driver compatibility.
Top pgAdmin Alternatives 2023
DBeaver is a universal database tool that runs on Windows, macOS, and Linux. It offers both open-source (free) and commercial products (subscription-based). The open-source version provides essential support for relational databases such as MySQL, SQL Server, PostgreSQL, etc.; while the commercial one offers further support for NoSQL and cloud databases.
15 Best MySQL GUI Clients for macOS
Now let’s get back to more familiar titles. DBeaver is a multiplatform IDE with the support for multiple database management systems. It is highly functional, user-friendly, and its Community Edition is available free of charge. The most popular features of DBeaver are the SQL query editor, visual query builder, database comparison tools, test data generator, and ER...
Source: blog.devart.com

Social recommendations and mentions

Based on our record, DBeaver should be more popular than MongoDB. It has been mentiond 104 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
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DBeaver mentions (104)

  • The History and Legacy of Visual Basic
    I agree! I still sometimes use LibreOffice Base for quick prototyping [0] or Microsoft Access if I am on Windows. It uses HSQLDB by default but you can connect to several external JDBC, ODBC and ADO compatible databases, though I often use DBeaver for that purpose. [1] [0] https://en.wikipedia.org/wiki/LibreOffice_Base [1] https://dbeaver.io/. - Source: Hacker News / about 1 month ago
  • How to Connect to PostgreSQL and Create a Database, User, and Tables
    Install DBeaver if you haven't already (available at dbeaver.io). - Source: dev.to / about 2 months ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    By making RisingWave compatible with PostgreSQL, we ensured that any developer familiar with SQL could immediately start writing streaming queries. This wasn't just about syntax; it meant RisingWave could plug seamlessly into existing data workflows and connect easily with a vast ecosystem of familiar tools like DBeaver, Grafana, Apache Superset, dbt, and countless others. - Source: dev.to / 2 months ago
  • Dockerization or How to deploy app (Next.js + Nest.js + PostgreSQL) using Docker and Nginx
    ❔ We may also connect to our DB, for example, via Database Tool: DBeaver And we see our DB with the name yuit-chart-db. - Source: dev.to / 7 months ago
  • Show HN: Outerbase Studio – Open-Source Database GUI
    > browser based For whatever reason, this is the main limiting factor, because local software can be really good, for example: DBeaver - pretty nice and lightweight local tool for a plethora of databases https://dbeaver.io/ DataGrip - commercial product, but you'll feel right at home if you use other JetBrains products https://www.jetbrains.com/datagrip/ DbVisualizer - really cool tool that helps you explore messy... - Source: Hacker News / 7 months ago
View more

What are some alternatives?

When comparing MongoDB and DBeaver, 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.

DataGrip - Tool for SQL and databases

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

HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

MySQL - The world's most popular open source database

MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.