MongoDB White Papers

Download database management, implementation and general white papers. These free downloads cover aspects of MongoDB architecture, deployment and maintenance in a wide variety of environments.

Scalability Benchmarking: MongoDB and NoSQL Systems

Independent evaluators United Software Associates released new research based on Yahoo! Cloud Serving Benchmark (YCSB) demonstrating that MongoDB overwhelmingly outperforms key value stores. The results show that MongoDB provides greater scalability than NoSQL vendors Cassandra and Couchbase in all tests, by as much as 13x.

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MongoDB on AWS: Guidelines and Best Practices

This guide provides an overview of MongoDB and its deployment on the AWS cloud platform. It discusses best practices and implementation characteristics such as performance, high availability, and security, and focuses on AWS features relevant to MongoDB that help ensure scalability, continuous uptime, and disaster recovery.

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MongoDB 3.0: What's New

MongoDB 3.0 is the newest and most significant release of the world’s fastest growing database. MongoDB 3.0 radically expands the use cases for MongoDB, allowing you to use it for the vast majority of all new applications. By improving performance by 7x - 10x, reducing storage needs by up to 80%, and lowering operations overhead by up to 95%, MongoDB 3.0 also dramatically improves your ability to deliver apps to market faster and more efficiently than ever before.

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MongoDB 3.0: What's New

Comparative Benchmarks: MongoDB vs. Couchbase vs. Cassandra

Independent evaluators United Software Associates demonstrate that MongoDB overwhelmingly outperforms key value stores Couchbase and Cassandra. The results show that MongoDB smokes NoSQL vendors in terms of both throughput and latency across a number of configurations.

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Comparative Benchmarks: MongoDB vs. Couchbase vs. Cassandra

Quantifying Business Advantage: The Value of Database Selection

Can the choice of database really dictate business outcomes? Consider:

  • A leading insurance company delivering a new application in just 3 months, after struggling for 8 years with a legacy database.
  • A global telecoms operators accelerating time to market by 4x and improving customer experience by 10x.
  • A Tier 1 investment bank estimating savings of $40m.
    What do they all have in common? They all selected MongoDB to deliver applications never previously possible. Download the white paper to learn more

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Quantifying Business Advantage: The Value of Database Selection

How a Database Can Make Your Organization Faster, Better, Leaner

Organizations spend too much time and money on databases — over $40B per year — and still more on the resources required to manage them. In this paper, tell the stories of large enterprise customers — like MetLife and Telefonica — who have adopted MongoDB and as a result are operating faster, better, leaner. We then provide a playbook for emulating these success stories with actionable steps to become faster, better, leaner too.

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How a Database Can Make Your Organization Faster, Better, Leaner

Top 5 Considerations When Evaluating NoSQL Databases

Relational databases have a long-standing position in most organizations, and for good reason. But companies are increasingly considering alternatives to legacy relational infrastructure, such as NoSQL databases. As companies evaluate these products, they should consider 5 critical dimensions to make the right choice for their applications and their businesses. In this paper, we describe these dimensions and show why MongoDB is the most widely used NoSQL database in the market.

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Top 5 Considerations When Evaluating NoSQL Databases

Big Data: Examples and Guidelines for the Enterprise Decision Maker

Despite the hype, Big Data is more than just a buzzword. Big Data is enabling organizations to create new products, to outpace their competitors and to save tens of millions of dollars. In this paper, we begin with a description of Big Data and the data management landscape. Next, we describe examples of customers innovating with Big Data using MongoDB, the leading NoSQL database, which has been a catalyst of the Big Data movement. Finally, given the nascent state of the market, we provide guidance to organizations selecting technologies for their Big Data projects.

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Big Data: Examples and Guidelines for the Enterprise Decision Maker

MongoDB Architecture Guide

In this introductory technical paper, you'll learn:

  • The architecture of MongoDB.
  • How MongoDB builds and runs applications today.
  • MongoDB's document data model, query model, data management, consistency, durability, availability and performance.

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MongoDB Architecture Guide

Performance Best Practices for MongoDB

This guide outlines best practices and considerations for achieving performance at scale in a MongoDB system in a number of key areas, including:

  • Hardware, application patterns, schema design and indexing.
  • Disk I/O, Amazon EC2.
  • Designing for benchmarks.

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Performance Best Practices for MongoDB

MongoDB Operations Best Practices

This document provides guidance on best practices for deploying and managing MongoDB clusters. It assumes familiarity with the architecture of MongoDB and a basic understanding of concepts related to enterprise software deployment. Because MongoDB is designed to be simple to administer and to deploy, most operations professionals find they can become competent with MongoDB in a short period of time and with minimal training.

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MongoDB Operations Best Practices

MongoDB Security Architecture

Data security and privacy is a critical concern in today’s connected world. Data analyzed from new sources such as social media, logs, mobile devices and sensor networks has become as sensitive as traditional transaction data generated by back-office systems. For this reason, big data technologies must evolve to meet the regulatory compliance standards demanded by industry and government. This white paper provides an overview of MongoDB’s security architecture, including authentication, authorization, auditing and encryption, collectively designed to to defend, detect and control access to valuable online big data.

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MongoDB Security Architecture

Backup and Its Role in Disaster Recovery

Data is the core currency in today’s digital economy. In the same way that central banks take extensive measures to safeguard this vital asset, organizations need to take every practical measure to protect their data. This white paper will walk you through the key considerations when evaluating a backup strategy, and the different methods for protecting your mission critical MongoDB data.

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Backup and Its Role in Disaster Recovery

RDBMS to MongoDB Migration Guide

This guide explains how to migrate from a relational database to MongoDB and the relevant technical considerations, such as differences between the relational and document data models and the implications for schema design. The guide also covers indexing, queries, application integration and data migration.

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RDBMS to MongoDB Migration Guide

A Total Cost of Ownership Comparison of MongoDB & Oracle

In this white paper, we compare the total cost of ownership (TCO) of MongoDB and Oracle. It can be faster and cheaper to develop and deploy applications on MongoDB than on Oracle Database, yielding both bottom-line benefits – lower developer and administrative costs – and topline advantages – it is easier and faster to evolve applications to meet changing business and market conditions.

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A Total Cost of Ownership Comparison of MongoDB & Oracle

Migrating from Oracle - How Apollo Group Evaluated MongoDB

Apollo Group was planning a strategic initiative to create a cloud-based learning management platform, and the project team knew that the existing Oracle database had neither the flexibility nor the capacity to meet their future needs. This paper shares the methodologies used to evaluate alternative technologies, and why they ended up selecting MongoDB.

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Migrating from Oracle - How Apollo Group Evaluated MongoDB

MongoDB: Bringing Online Big Data to BI & Analytics

Big data is an essential extension of BI & analytics platforms, presenting new sources of operational insight & discovery. However, the rate of data ingestion coupled with its complexity & volume are beyond the constraints of many traditional databases used in today's BI systems. With its rich document model, powerful analytical capabilities and integration with leading BI and analytics tools, learn how MongoDB provides a foundation to integrate online big data with existing BI and analytics platforms.

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MongoDB: Bringing Online Big Data to BI & Analytics

MongoDB Multi-Data Center Deployments

As more applications are exposed as services to global audiences, the scalability and availability of your database across geographic regions becomes a critical consideration in systems selection and design.

In this white paper you will learn about:

* MongoDB’s cross-region data center awareness

* Deployment topologies, including active/active data centers and disaster recovery

* How organizations in diverse industries use MongoDB to scale global operations

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MongoDB Multi-Data Center Deployments

MongoDB-as-a-Service: Top 10 Considerations

As more internal business units and project teams build modern applications on MongoDB, architects and operations teams can improve agility, efficiency, accountability and governance by offering MongoDB-as-a-Service.

This white paper provides the top 10 considerations you make including:

* Systems design

* Virtualization and multi-tenancy

* Management, accounting and compliance

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MongoDB-as-a-Service: Top 10 Considerations

Bosch Software Innovations and MongoDB: Internet of Things and Big Data

MongoDB and Bosch Software Innovations have collaborated to build a powerful Internet of Things application platform to support new IoT business models.
In this white paper you will learn:

- New use-cases enabled by the IoT

- Solutions to manage devices, assets and events in an IoT platform

- How to overcome the 5 key data management challenges presented by the IoT

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Bosch Software Innovations and MongoDB: Internet of Things and Big Data

Connecting with Global Audiences: Adobe Experience Manager & MongoDB

Adobe Experience Manager (AEM) 6.0 is a major step forward in enabling marketing teams to create, manage, and optimize digital customer experiences across channels. As a persistence layer for AEM, MongoDB introduces several new capabilities which we will explore in this white paper.

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Connecting with Global Audiences: Adobe Experience Manager & MongoDB

Why NoSQL Databases for the Internet of Things: Machina Research

As one of the leading M2M, IoT and Big Data research and consulting firms, Machina Research has unique insight into how big data presents challenges and opportunities in the rapidly evolving IoT landscape. Download their research note to learn:

  • Key database requirements to address IoT applications
  • Impacts to traditional data management technologies
  • Alternative technologies that should be on your radar

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Why NoSQL Databases for the Internet of Things: Machina Research

How a Database Helps Telcos Compete

Telcos are under attack from software companies and over-the-top competitors. MongoDB enables telcos to couple the resources of a multinational with the speed of a startup, helping them to expand their customer bases, increase ARPU and reduce churn.

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How a Database Helps Telcos Compete

Today's Database for Today's TV

The consumer TV experience has changed. Gone are the days of the static, single-threaded viewing experience in the living room. Today, consumers have new requirements; they want content on-demand, on their device of choice and on their terms. Given the rise of competitive services from companies like Netflix and pressure on existing revenue streams, service providers (telcos, cable and satellite providers) need to evolve their offerings. The good news is, they may not need a new business model so much as a new database.

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Today's Database for Today's TV

Subscriber Data Management: Unlocking New Customer Insight with Big Data

Subscriber Data Management (SDM) is core to the future of telcos, battling to prevent relegation to the status of a dumb pipe. In this white paper, you'll learn:

  • The promise and challenges of SDM, including the rise of big data.
  • Why MongoDB for SDM, with samples of subscriber data schema.
  • SDM in Action with MongoDB - How Telefonica liberated its subscriber data.
  • Resources to get started today.

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Subscriber Data Management: Unlocking New Customer Insight with Big Data

What’s New in MongoDB 2.6

MongoDB 2.6 builds on five years of innovation and hundreds of thousands of deployments to provide a new foundation for the database, drivers and sophisticated management tools that make operating MongoDB simple at any scale.

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What’s New in MongoDB 2.6

Serving the Digitally-Oriented Consumer

Today’s digitally-oriented society has created a new generation of shopper – one who lives across channels and expects personalization, perfect information, and instant gratification. These evolving consumer behaviors and expectations can be an incredible challenge for retailers, but they also represent a tremendous opportunity for leading brands to further differentiate themselves from the competition with technologies and processes that enable the omni-channel retail experience.

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Serving the Digitally-Oriented Consumer