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Kexi VS MongoDB

Compare Kexi VS MongoDB and see what are their differences

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Kexi logo Kexi

Kexi | Calligra Suite

MongoDB logo MongoDB

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
  • Kexi Landing page
    Landing page //
    2021-10-18
  • MongoDB Landing page
    Landing page //
    2023-10-21

Kexi features and specs

  • User-Friendly Interface
    Kexi offers an intuitive and easy-to-use interface, making database management accessible for users who are not database experts.
  • Cross-Platform Support
    Kexi is available on multiple platforms including Linux, Windows, and macOS, providing flexibility for users across different operating systems.
  • Integration with Calligra Suite
    As part of the Calligra Suite, Kexi seamlessly integrates with other office applications, enhancing productivity for users who use the suite.
  • Open Source
    Being open source, Kexi allows users to modify the software to fit their needs and contributes to a community-driven development process.
  • Data Import and Export
    Kexi supports a range of data import and export options, facilitating interoperability with other database tools and formats.

Possible disadvantages of Kexi

  • Limited Advanced Features
    Kexi may lack some advanced features found in more robust database management systems, which can be a limitation for power users.
  • Smaller User Community
    The user community around Kexi is smaller compared to more established database management systems, potentially leading to less community support and fewer resources.
  • Performance Issues
    Some users report performance issues when working with large datasets, which can impact efficiency and productivity.
  • Documentation
    While improving, Kexi's documentation is not as comprehensive as that of more mature database systems, which may pose a challenge for new users.
  • Limited Third-Party Integrations
    Kexi does not have as many third-party integrations compared to other database management tools, which may limit its versatility in certain environments.

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.

Analysis of Kexi

Overall verdict

  • Kexi is generally considered a good choice for users familiar with open-source platforms and those seeking a cost-effective, feature-rich database management tool. While it might not have the same level of advanced features as commercial counterparts, it holds its own for most small to medium database tasks.

Why this product is good

  • Kexi, part of the Calligra Suite, is designed to be an open-source alternative to MS Access, offering database design and management tools. It provides an intuitive interface and integrates well with other Calligra applications, making it a good choice for users who prefer open-source solutions and need to create, edit, and manage databases without the cost associated with commercial software. Kexi's community-driven development ensures it regularly receives updates and new features.

Recommended for

    Kexi is recommended for small business owners, individual users, and education sectors that need a reliable, open-source database management solution. It is also suitable for those familiar with the KDE environment and Linux users looking for a cohesive suite of productivity tools.

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

Kexi videos

+ Add

How To Build Software Using Kexi Without Programming Knowledge (Visual database Application Maker)

MongoDB videos

+ Add

MySQL vs MongoDB

More videos:

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

Category Popularity

0-100% (relative to Kexi and MongoDB)

Kexi

MongoDB

Databases
11 11%
Databases
89% 89
NoSQL Databases
11 11%
NoSQL Databases
89% 89
Development
100 100%
Development
0% 0
Relational Databases
0 0%
Relational Databases
100% 100

User comments

Share your experience with using Kexi and MongoDB. 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 Kexi and MongoDB

Kexi Reviews

TOP best Microsoft Access replacement software for databases
Another useful feature for users who want to change the database engine is the Kexi Microsoft Access conversion assistant. This wizard helps users to migrate the database to the Kexi database framework, persists the data, and allows for editing between applications.
Source: tipsmake.com

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

Social recommendations and mentions

Based on our record, MongoDB seems to be a lot more popular than Kexi. While we know about 18 links to MongoDB, we've tracked only 1 mention of Kexi. 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.

Kexi mentions (1)

  • Database vs Spreadsheet for small business( beginner)
    LibreOffice Base (which I tried several years ago) and KEXI (which I haven't tried) are some free/open-source alternatives. They may help get you started in what you're looking to build. Source: over 3 years ago

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

What are some alternatives?

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

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

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

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

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

My Visual Database - Using My Visual Database, you can create databases for invoicing, inventory, CRM, or any specific purpose.

MySQL - The world's most popular open source database

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