- #Download mongodb 2.4.3 for win 64 drivers#
- #Download mongodb 2.4.3 for win 64 for android#
- #Download mongodb 2.4.3 for win 64 code#
- #Download mongodb 2.4.3 for win 64 windows#
#Download mongodb 2.4.3 for win 64 drivers#
There are drivers for nearly any language including C/C++, Python, PHP, Ruby, Perl.
#Download mongodb 2.4.3 for win 64 code#
I would argue the reliability of MongoDB and the collective code bases available is one of the strongest reasons to learn this system.
#Download mongodb 2.4.3 for win 64 for android#
There is even an open source Objective-C Mongo library for iPhone developers and plenty of other resources for Android programmers using Java. SQL can be very limiting and I would consider a schemaless database to be even more useful when building mobile apps. I think MongoDB is probably best used in a situation where you’re testing a new application and seeing how you could structure a database with free-form objects. This may be another scenario where personal opinion has the authority but I feel that Mongo offers more support and documentation for newcomers. They both use JSON for storing data and can both power high-volume applications. On the MongoDB website I came across an article comparing MongoDB to CouchDB, which is currently owned by Apache. Also the core team is still active in pushing code releases in a timely manner. Personally I have only heard great things about the project and it supports a wide range of Operating Systems (Windows, OSX, Linux). There are a few other schemaless databases you could choose to try other than Mongo. But MongoDB is certainly an appealing database system and worth testing the waters. It is a bit different than regular SQL tables containing rows/columns of data. This JavaScript-based language focuses on Objects which contain key-value pairs. Web developers will mostly enjoy Mongo if they are familiar with JSON.
#Download mongodb 2.4.3 for win 64 windows#
![download mongodb 2.4.3 for win 64 download mongodb 2.4.3 for win 64](https://static.packt-cdn.com/products/9781782169703/graphics/9703_02_03.jpg)
This means much of the functionality can be accessed directly through JavaScript notation.īut Mongo comes with its own shell interface for running commands directly onto your databases. The most considerable differences are that MySQL is written using SQL queries, while MongoDB is focused on BSON (Binary JSON). It can store files of any size, while also allowing fast data processing and supporting data indexing.Mongo is an open source schemaless database system which is very different from the more popular MySQL. MongoDB's performance resides in its document-oriented storage capability and the schema dynamism, which make room for horizontal scalability and quick entry updates. MongoDB is used in practice by top companies in various domains, including healthcare, government and public administration, financial services, retail, publishing, media and telecommunications. This approach makes it suitable for the business environment, enabling users to develop all sorts of applications that work with large amounts of data, such as cloud-based or web-based programs, content management systems, data hubs, user data management programs and many more. Thanks to its rich feature set, MongoDB can be easily deployed within any production environment, regardless of its complexity, without compromising on performance, reliability and flexibility. Its dynamic architecture allows quick and convenient schema changing, while also enabling you to perform basic administrative tasks, such as managing entries, running queries, manipulating and indexing data.
![download mongodb 2.4.3 for win 64 download mongodb 2.4.3 for win 64](https://www.mongodb.com/community/forums/uploads/default/original/2X/d/dafae35fc154dac9eacc05d713b5be4f80f6317f.png)
Unlike relational databases, MongoDB is not based on tables, but relies on a document model, working with JSON that have a dynamic structure, in BSON format. MongoDB provides users with a NoSQL document database system whose advantages are related to scalability (being capable of handling large data sets) and dynamic schema structuring, which enables you to change the database content without delays.