MongoDB VS SqlKata Query Builder

Compare MongoDB vs SqlKata Query Builder and see what are their differences.


The MongoDB Database (by mongodb)

SqlKata Query Builder

SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird (by sqlkata)
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MongoDB SqlKata Query Builder
236 5
24,692 2,861
1.0% 1.6%
10.0 0.0
1 day ago 13 days ago
C++ C#
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of MongoDB. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-12.
  • Create your own AI voice assistant bot with Node.js using Google Bard
    2 projects | | 12 Nov 2023
    MongoDB — a database service
  • MongoDB Quick Start Guide 🍃⚡️
    4 projects | | 6 Oct 2023
    MongoDB is an open source NoSQL Document database which horizontally scales utilizing clustered servers in replica-sets. A great option for testing and performing local development with MongoDB is using Docker and Docker Compose. The following docker compose spec will create a local docker container running MongoDB with the data persisted to a docker volume.
  • MongoDB’s New Query Engine
    4 projects | | 21 Sep 2023
  • Database Review: Top Five Missing Features from Database APIs
    19 projects | | 14 Sep 2023
    MongoDB (Mongoose)
    7 projects | | 30 Jul 2023
    Databases Backend developers use databases like MySQL, PostgreSQL, MongoDB (NoSQL), or Redis (an in-memory database) to store and manage data. It is important for persistent data storage and retrieval in web applications.
  • How to Choose the Right MQTT Data Storage for Your Next Project
    8 projects | | 23 Jul 2023
    MongoDB{:target="_blank"} is a document-oriented database with high scalability and flexibility for handling unstructured or semi-structured data. It offers rich querying capabilities, indexing options, and support for distributed data storage with a technique called “sharding”.
  • When to Use a NoSQL Database
    4 projects | | 21 Jul 2023
    NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data, large-scale applications, and agile development processes. The most popular examples of NoSQL databases are MongoDB (document), Memgraph (graph), Redis (key-value store) and Apache HBase (column-oriented).
  • Full Stack To Do list, a step-by-step tutorial
    7 projects | | 14 Jul 2023
    Our example application will be based on the ME*N stack where M is a MongoDB (but it could be MySQL, or any other) database. E is for Express, which is a backend framework that sits on top of Node.JS. There are others but Express is extremely common and will meet our needs well. N is for the JavaScript runtime Node.js but Deno and Bun are possible alternatives. Finally the * is for the frontend framework such as Angular (MEAN), React (MERN) or Vue (MEVN), to name a few. However, in our example we will not be using a framework (to keep it agnostic and besides it is not that complicated), instead we will be using the native web technologies (HTML, CSS and JS).
  • Create API with GraphQL, Prisma, and MongoDB
    4 projects | | 13 Jul 2023
    MongoDB is a highly scalable document-type database. Its flexible schema approach allows developers to adapt and modify the data structure as needed, providing agility in application development.
  • Redis vs MongoDB: Which Database Suits Your Needs?
    2 projects | /r/u_webdev20 | 7 Jun 2023
    MongoDB is an open-source, document-oriented database, meaning it stores data in a semi-structured format similar to JSON (JavaScript Object Notation), known as BSON (Binary JSON).

SqlKata Query Builder

Posts with mentions or reviews of SqlKata Query Builder. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-10.
  • EF Core or Dapper
    2 projects | /r/dotnet | 10 Mar 2023
    SqlKata is your friend.
  • ASP.Net Core database modelling without using existing ORMs?
    4 projects | /r/dotnet | 26 Jan 2023
    Don't know if can be a good pick for the no-ORM requirement but I would take a look at SqlKata which is a nice query builder + execution engine, built on top of Dapper
  • Windyquery: A non-blocking Python PostgreSQL query builder
    5 projects | | 10 May 2021
    That is basically the description of an object mapper, with all the guarantees of an object mapper :). It seems if you actually use the query builder as such, no guarantees exist.

    I'm pretty picky regarding query builders and ORM's, to the extent of having written several of them over the years, in different languages (both dynamic and strong typed, unfortunately closed-source). I'm a strong advocate of schema-first design, and usually a query builder will allow you to design your queries explicitly, but having some internal behaviors (such as string concatenation, identifier quoting and automatic in-order separation of parameters and values to be bound) taken care of. As good examples of this, I'd mention golang's goqu ( and - to some extent - C# SqlKata ( Following my frustrations with Python ORMs, I built my own toy project, sort-of-in-beta, called rickdb (

  • I don't want to learn your garbage query language
    9 projects | | 10 Mar 2021
    Less about the exact syntax and more about the tool, for example: I just chose that since it was on top of a search but the idea is the same. Your code generates raw SQL, so it's 100% interchangeable with writing SQL yourself however the builder library deals with the syntax, proper ordering, quoting, full attribute names, etc. Some such libraries even let you define your schema in code to make your SQL generation type safe.

What are some alternatives?

When comparing MongoDB and SqlKata Query Builder you can also consider the following projects:

mongo-express - Web-based MongoDB admin interface, written with Node.js and express

Marten - .NET Transactional Document DB and Event Store on PostgreSQL

LiteDB - LiteDB - A .NET NoSQL Document Store in a single data file

LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

Yessql - A .NET document database working on any RDBMS

SQLAlchemy - The Database Toolkit for Python

NReco LambdaParser - Runtime parser for string expressions (formulas, method calls). Builds dynamic LINQ expression tree and compiles it to lambda delegate.

Apache Ignite - Apache Ignite

ArangoDB - 🥑 ArangoDB is a native multi-model database with flexible data models for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

Insight.Database - Fast, lightweight .NET micro-ORM

Django - The Web framework for perfectionists with deadlines.