webogram VS MongoDB

Compare webogram vs MongoDB and see what are their differences.

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webogram MongoDB
68 250
1 25,487
- 0.8%
0.0 10.0
about 3 years ago 1 day ago
JavaScript C++
GNU General Public License v3.0 only GNU General Public License v3.0 or later
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.

webogram

Posts with mentions or reviews of webogram. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-12.

MongoDB

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 2024-05-05.

What are some alternatives?

When comparing webogram and MongoDB you can also consider the following projects:

telegram-kaios

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

opacity-electron - Desktop Application to use the Opacity Cloud

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

telegram-cli - Command line interface for Telegram protocol

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

Telegram - Telegram for Android source

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

SQLAlchemy - The Database Toolkit for Python

Apache Ignite - Apache Ignite

SqlKata Query Builder - SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird

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.