Mongodb 4 4 7

Download MongoDB 8.0.5 Date released: 22 Feb 2025 (one month ago) Download MongoDB 8.0.4 Date released: 07 Dec 2024 (4 months ago) Download MongoDB 8.0.1 Date released: 10 Oct 2024 (6 months ago) Download MongoDB 8.0.0 Date released: 23 Sep 2024 (6 months ago) Download MongoDB 7.0.14 Date released: 13 Sep 2024 (6 months ago) Download MongoDB 6.0.17 Date released: 09 Sep 2024 (7 months ago) Download MongoDB 6.0.4 Date released: 26 Jan 2023 (2 years ago) Download MongoDB 5.0.15 Date released: 26 Jan 2023 (2 years ago) Download MongoDB 5.0.5 Date released: 25 Jan 2022 (3 years ago) Download MongoDB 5.0.2 Date released: 10 Sep 2021 (4 years ago) Download MongoDB 5.0.1 Date released: 23 Jul 2021 (4 years ago) Download MongoDB 4.4.19 Date released: 31 Jan 2023 (2 years ago) Download MongoDB 4.4.7 Date released: 22 Jul 2021 (4 years ago) Download MongoDB 4.4.6 Date released: 03 Jun 2021 (4 years ago) Download MongoDB 4.4.5 Date released: 09 Apr 2021 (4 years ago) Download MongoDB 4.4.2 Date released: 18 Nov 2020 (4 years ago) Download MongoDB 4.2.13 Date released: 09 Apr 2021 (4 years ago) Download MongoDB 4.2.11 Date released: 18 Nov 2020 (4 years ago) Download MongoDB 4.2.7 Date released: 26 May 2020 (5 years ago) Download MongoDB 4.2.5 Date released: 26 Mar 2020 (5 years ago)

Other MongoDB Drivers: MongoDB ODBC Driver Read, Write, and Update MongoDB through ODBC The MongoDB ODBC Driver is a powerful tool that allows you to connect with live MongoDB document databases, directly from any applications that support ODBC connectivity. Version: 24.0.9175 | Modified: 02/12/2025 | Size: 53.68 MB MongoDB JDBC Driver Powerful MongoDB Database Integration Rapidly create and deploy powerful Java applications that integrate with MongoDB document databases. Version: 24.0.9175 | Modified: 02/12/2025 | Size: 7.38 MB Download Trial Download Full* MongoDB Driver Download Options Please select from the following download options: Windows Setup (.exe) Cross-Platform Unix/Linux Setup (.zip) Mac Setup (.dmg) MongoDB ADO.NET Provider Powerful MongoDB Database Integration Rapidly create and deploy powerful .NET applications that integrate with MongoDB document databases. Version: 24.0.9175 | Modified: 02/12/2025 | Size: 15.43 MB Excel Add-In for MongoDB Read, Write, and Update MongoDB from Excel The MongoDB Excel Add-In is a powerful tool that allows you to connect with live MongoDB document databases, directly from Microsoft Excel. Version: 24.0.9175 | Modified: 02/13/2025 | Size: 7.07 MB MongoDB Cmdlets PowerShell Cmdlets for MongoDB An easy-to-use set of PowerShell Cmdlets offering real-time access to MongoDB data. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server. Version: 24.0.9175 | Modified: 02/13/2025 | Size: 4.75 MB Download Trial Download Full* MongoDB Cmdlets Download Options Please select from the following download options: Windows Setup (.exe) *Powershell 4 & Powershell 7+ Zip Package (.zip) *Powershell 7+ Only MongoDB

Been finished. Simply, click “Finish“.Figure 9Configuration Through Mongo ShellAfter the whole installation is done, the user must configure it.Follow the below steps:If you use “mongo” in the command prompt without configuring it, then it would give an error. Hence, configure it first.Step 1: Go to the local disk C and get into “Program Files“. There you’ll find a folder named “MongoDB“.Figure 10Step 2: Open it and you’ll find a folder named “bin” i.e. binaries folder. You will have 15 to 17 files in it. Copy the path, as given in the snippet path i.e. C:\Program Files\MongoDB\Server\4.0\binFigure 11Step 3: Open Settings and search “Path”.The two options given below would pop up in front of you:Edit environment variable of your accountEdit the system environment variable.Figure 12Step 4: Click on “Edit the system environment variable” and then click on “Environment Variables“.Figure 13Step 5: In the Environment variable, you’ll see the path as given in the snippet. Click “Path” and then press “Edit“.Figure 14Step 6: In the Path given at your system, delete the previous ones and add new “The copied path” from binaries, and click “OK”.Figure 15Step 7: Open Command prompts and type “mongod” to start the service.Figure 16Step 8: Write command on the command prompt “mongo” to create the connection.Figure 17Step 9: Open Command prompt with admin privileges and type: md \data\db to make a directory which would be \data\db at the same folder.Figure 18Then, Get into the folder “data“, which would be in the same folder i.e. MongoDB at C:/ and then find the file named “mongod.lock“.Figure 19Step 10: Again, open Binaries i.e. “Bin” and find “mongod.cfg file”, if you find it, then copy this file and paste it in the folder named “data” which is also in the MongoDB folder in C:/. If it is not here then finding in the “data” folder might help, usually, it happens to be there.Copy the path which is “C:\Program Files\MongoDB\Server\4.0\data” in your system.Figure 20Step 11: Open Command prompt with admin privileges and write this command: mongod –config “C:\ data\mongod.cfg” –install Press enter.Step 12: Again type the command: net start mongoDbThe MongoDB pops up with a message “The MongoDb Service was started successfully”. You are now good on the go. MongoDB has been successfully configured.Configuration Through Robomongo i.e. Robo 3tTo configure MongoDB with non-commercial MongoDB management tool i.e. Robo 3t, one can easily use the full command on the mongo shell during configuration.Step 1: Download Robo 3t and launch the installer.Figure 21Step 2: Click “I agree” to agree to the End-user agreement.Figure 22Step 3: Click “Next“.Figure 23Step 4: Click “Install“.Figure 24Step 5: Click “Finish“.Figure 25Step 6: Launch the Application & Click “I agree” to the agreement.Figure 26Step 7: Click on “Create” to create a

Loopback-connector-mongodbThe official MongoDB connector for the LoopBack framework.InstallationIn your application root directory, enter this command to install the connector:npm install loopback-connector-mongodb --saveThis installs the module from npm and adds it as a dependency to the application's package.json file.If you create a MongoDB data source using the data source generator as described below, you don't have to do this, since the generator will run npm install for you.Supported versionsStarting from the version 6.0.0, this connector is no longer compatible with LoopBack 3. Please use the latest 5.x version in your LoopBack 3 applications.This module adopts the Module Long Term Support (LTS) policy, with the following End Of Life (EOL) dates:VersionStatusPublishedEOLLoopBackJuggler6.xCurrentMar 2021Apr 2025 (minimum)44.x5.xActive LTSJun 2019Apr 20233, 43.x, 4.x4.xMaintenance LTSNov 2018Apr 20213, 43.x, 4.xCreating a MongoDB data sourceFor LoopBack 4 users, use the LB4 Command-line interface to generate a DataSource with MongoDB connector to your LB4 application. Run lb4 datasource, it will prompt for configurations such as host, post, etc. that are required to connect to a MongoDB database.After setting it up, the configuration can be found under src/datasources/.datasource.ts, which would look like this:const config = { name: 'db', connector: 'mongodb', url: '', host: 'localhost', port: 27017, user: '', password: '', database: 'testdb',};If your username or password contains special characters like @, $ etc, encode the wholeusername or password using encodeURIComponent.Eg: pa$$wd would become pa%24%24wd.Connection propertiesPropertyType DescriptionconnectorStringConnector name, either "loopback-connector-mongodb" or "mongodb".databaseStringDatabase namehostStringDatabase host namenameStringName of the datasource in the apppasswordStringPassword to connect to databaseportNumberDatabase TCP porturlStringConnection URL of form mongodb://user:password@host/db. Overrides other connection settings (see below).userStringUsername to connect to databaseauthSourceStringOptional. Authentification database name. Usually "admin" value.If you run a MongoDB with authentification (Docker's example here), you need to specify which database to authenticate against. More details can be found in MongoDB documentation on Authentification Methods. The default value is usually "admin", like in the official docker image.NOTE: In addition to these properties, you can use additional Single Server Connection parameters supported by node-mongodb-native.Additional properties Property Type Default Description allowExtendedOperators Boolean false Set to true to enable using MongoDB operators such as $currentDate, $inc, $max, $min, $mul, $rename, $setOnInsert, $set, $unset, $addToSet, $pop, $pullAll, $pull, $push, and $bit. See Update Operators section below enableGeoIndexing Boolean false Set to true to enable 2d sphere indexing for model properties of type GeoPoint. This allows for indexed near queries. lazyConnect Boolean false When set to true, the database instance will not be attached to the

Is designed to handle large volumes of unstructured data and is highly scalable, making it a popular choice for modern web applications. MongoDB uses a JSON-like format to store data, which allows for easy integration with web applications and APIs. It also supports dynamic queries, indexing, and aggregation, making it a powerful tool for data analysis. MongoDB is widely used in industries such as finance, healthcare, and e-commerce, and is known for its ease of use and flexibility.MongoDB gives access to a wide range of data types, including:1. Documents: MongoDB stores data in the form of documents, which are similar to JSON objects. Each document contains a set of key-value pairs that represent the data.2. Collections: A collection is a group of related documents that are stored together in MongoDB. Collections can be thought of as tables in a relational database.3. Indexes: MongoDB supports various types of indexes, including single-field, compound, and geospatial indexes. Indexes are used to improve query performance.4. GridFS: MongoDB's GridFS is a specification for storing and retrieving large files, such as images and videos, in MongoDB.5. Aggregation: MongoDB's aggregation framework provides a way to perform complex data analysis operations, such as grouping, filtering, and sorting, on large datasets.6. Transactions: MongoDB supports multi-document transactions, which allow multiple operations to be performed atomically.7. Change streams: MongoDB's change streams provide a way to monitor changes to data in real-time, allowing applications to react to changes as they occur.Overall, MongoDB provides access to a flexible and powerful data model that can handle a wide range of data types and use cases.This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done