How Cisco Use MongoDB?
We all know that storing data in the Database is Big and hectic task but in this technology world, we have so many software Database software which makes it easy to store data and access Data.
But their are so many software in which we have restrictions to store Data we need to follow the proper format to store Data in Database if we miss anything then we were not able to store the data in the Database. Like SQL and NoSQL in SQL, we need to follow schema were as on other hand NoSql is schema-less.
Let me tell you what is SQL & NoSQL, schema, and schemaless.
What are Schema and Schema Less?
Here a schema describes a blueprint for tables, fields, their expected data format, and how real-world data is mapped to it. In contrast, the concept of schemaless refers to the absence of this blueprint, there are no specified fields, data formats.
So today I am gonna tell you about one of the DB software which follows the NoSQL format a schemaless format in which we don't have restrictions to have an blueprint of the tables and fields.
MongoDB.
What is MongoDB?
MongoDB’s document data model naturally supports JSON and its expressive query language is simple for developers to learn and use. Functionality such as automatic failover, horizontal scaling, and the ability to assign data to a location are built-in.
- MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time
- The document model maps to the objects in your application code, making data easy to work with
- Ad hoc queries, indexing, and real-time aggregation provide powerful ways to access and analyze your data
- MongoDB is a distributed database at its core, so high availability, horizontal scaling, and geographic distribution are built-in and easy to use
Need to run MongoDB?
- High availability through built-in replication and failover
- Horizontal scalability with native sharding
- End-to-end security
- Native document validation and schema exploration with Compass
- Management tooling for automation, monitoring, and backup
- Fully elastic database as a service with built-in best practices.
Software provided by MongoDB
MongoDB Community Server.
MongoDB offers both an Enterprise and Community version of its powerful distributed document database. The community version offers the flexible document model along with ad hoc queries, indexing, and real-time aggregation to provide powerful ways to access and analyze your data. As a distributed system you get high availability through built-in replication and failover along with horizontal scalability with native sharding.
MongoDB Compass
The GUI for MongoDB. Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance. Available on Linux, Mac, or Windows. Compass empowers you to make smarter decisions about indexing, document validation, and more.
MongoDB ATLAS
Global multi-cloud database
The most advanced cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
And many more.
Now let me tell you how Big companies Using MongoDB as a Database Server.
Cisco
Cisco is the worldwide leader in networking, transforming how people connect, communicate and collaborate. In November 2011, Cisco launched WebEx Social (previously known as Quad), an enterprise collaboration platform designed for today's social, mobile, visual, and virtual workforce. A “Facebook for enterprises,” WebEx Social connects people to the information and expertise they need when they need it. Users share knowledge and ideas throughout the enterprise, and across geographic and organizational boundaries. When their existing relational database needed a NoSQL extension to power the collaborative workspace, Cisco turned to MongoDB as their NoSQL database of choice.
The Problem
WebEx Social is a true Enterprise 2.0 platform, “a place where people ‘live’ at work,” according to Biren Gandhi, principal architect for Cisco’s Cloud Collaboration Applications Technology Group (CCATG). The comprehensive collaboration platform combines the four core Enterprise 2.0 pillars – business processes, content, communication, and social features – that enable users to work together effortlessly. With their existing relational database, complex SQL queries against highly normalized schema were time-consuming and Cisco had little room to scale horizontally. Additionally, it was difficult to manage schema upgrades and migrate data from release to release.
WebEx Social’s rapid evolution required expanded data store capabilities and the ability to build successful new social features. Cisco sought an open-source, NoSQL solution that was scalable, flexible, and met the product’s hardcore enterprise needs: secure, mature commercial support, able to deliver consistent backup and disaster recovery, and easy to integrate with legacy systems. After an extensive evaluation and successful proof of concept, Cisco adopted MongoDB in mid-2011.
Why MongoDB?
MongoDB now serves as the primary real-time data store for WebEx Social’s social features that are write-heavy in nature. For example, a social activity feed that notifies thousands of users depending on some complex privacy and visibility rules. Additionally, Cisco uses MongoDB to perform some social network analytics. With MongoDB’s lightweight MapReduce feature, Cisco developers are able to automatically generate, with ease, recommendations such as users to connect with, communities to join, and interesting content to view, as well as statistics, including top contributors, most popular colleagues, and most downloaded docs.
"MongoDB is a very active, open-source project with a vibrant community. It matches WebEx Social’s feature set and fits in line exactly with our needs,” said Gandhi.
EASY TO IMPLEMENT DOCUMENT MODEL
MongoDB’s document-based data model offers Cisco the right balance between complex relational databases and the pure key-value store of most NoSQL solutions.
Intuitive mapping from the domain model to JSON docs and complex querying capabilities enable Cisco to cross-reference users and query embedded lists, functions that were either not possible in their existing database or were costly to perform. In contrast with a relational model, which requires a three-step process of fetch-update-commit, MongoDB’s in-place atomic updates allow for “one-stop operations,” according to Gandhi.
MILLISECOND RESPONSE TIME
With MongoDB, Cisco sped up reads from 30 seconds in some extreme cases to tens of milliseconds per object and eliminated caching needs in certain cases. As the WebEx Social platform evolves, Cisco plans to migrate more write-heavy features to MongoDB.
HIGHLY SCALABLE
MongoDB meets the demands of WebEx Social’s high-volume write activity. MongoDB offers a fast, easy way to de-normalize, index, and extract information from data stores, and its unique compound and geospatial indexing are a big plus.
HIGH AVAILABILITY
Cisco uses built-in sharding and replica sets, which are easy to use and enable high availability through automatic failover of nodes and recovery of member nodes.
As part of various innovation initiatives at Cisco, many developers participate in voluntary projects where people can collaborate and share results on their ideas. Many have taken up MongoDB as part of their project development, a testament to the usability, flexibility and innovation that the database offers.
Results
The Cisco development team is constantly evaluating the most effective product roadmap to drive customer success on WebEx Social. MongoDB provides Cisco with a user-friendly platform for customers and an easy, powerful technology for developers. Cisco is focused on rolling out new features quickly and offering flexibility to users, and “MongoDB is a big piece of that,” said Gandhi.
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