Why the World Is Going Multi-Cloud
Multi-cloud, the practice of leveraging cloud services from more than one provider, is no longer just a nice-to-have. Among enterprises with more than 1,000 employees, a majority have adopted a multi-cloud strategy. On average, each of these companies uses five clouds.
They’re finding that multiple clouds provide them with lower costs, higher performance, and greater flexibility.
How MongoDB Enables Real-Time Data with Event-Driven Architecture
The world moves in real time, and the demands on individuals, groups, and organizations are constantly changing. These truths may appear self-evident, but many enterprises are still trying to meet their data needs in ways that don’t match this new reality. To keep up with the pace of business, companies must become agile organizations fueled by applications that access, analyze, and distribute data in real time.
DevOps with MongoDB
The ability to build great software is a competitive advantage for all
industries. Increasingly, applications are the customers’ experience of the
service being offered and the primary way they interact with it.
Top 5 Considerations When Evaluating NoSQL Databases
Relational databases have a long-standing position in most organizations, and for good reason. Relational databases underpin existing applications that meet current business needs; they are supported by an extensive ecosystem of tools; and there is a large pool of labor qualiOed to implement and maintain these systems.
Building Enterprise-Grade Blockchain Databases with MongoDB
Beyond financial services, blockchain technology has the potential to fundamentally transform interactions across almost every industry - from media and entertainment, to logistics and supply chain, medicines and patient care, energy trading and loyalty programs, through to government and military applications.
Microservices: The Evolution of Building Modern Applications
As enterprises work to replicate the development agility of internet companies and innovate in highly competitive markets, application development has grown increasingly complex. The large, monolithic codebases that traditionally power enterprise applications make it difficult to quickly launch new services. Siloed and potentially distributed development and operations teams present organizational alignment problems. On top of this, users are more demanding than ever – enterprises need to scale effectively and monitor deployments to ensure customers are provided with high performance and a consistent experience. Of course, all this needs to be done while providing always-on service availability.
A Total Cost of Ownership Comparison of MongoDB And Oracle
MongoDB is an open-source, document database designed with both scalability and developer agility in mind. MongoDB bridges the gap between key-value stores, which are fast and scalable, and relational databases, which have rich functionality. Instead of storing data in rows and columns as one would with a relational database, MongoDB stores JSON documents with dynamic schemas.
Deep Learning and the Artificial Intelligence Revolution
Deep learning is a subset of machine learning that has attracted worldwide attention for its recent success solving particularly hard and large-scale problems in areas such as speech recognition, natural language processing, and image classification. Deep learning is a refinement of ANNs, which, as discussed earlier, “loosely” emulate how the human brain learns and solves problems.
Cybersecurity: Building the Next Generation of Threat Intelligence with MongoDB
Cybersecurity has always been a top priority for IT leaders, and now, as organizations embark on digital transformation initiatives, so it is increasingly becoming a priority for the boardroom as well. And for good reason. Industry analysts predict cybercrime will cost the global economy $6 trillion annually by 2021. To respond, organizations are expected to spend more than $1 trillion on cybersecurity from 2017 to 2021. But with the onslaught of new threat classes and threat actors, are those investments being directed towards the right solutions?
Why NoSQL Databases for the Internet of Things: Machina Research
The significance of the Internet of Things is not that more and more devices, people and systems are ‘connected’ with one another. It is that the data generated from these ‘things’ is shared, processed, analysed and acted upon through new and innovative applications, applying completely new analysis methods and within significantly altered timeframes. The Internet of Things will drive Big Data, providing more information, from many different sources, in real-time, and allow us to gain completely new perspectives on the environments around us.
Unlocking Operational Intelligence from the Data Lake
The one thing no business lacks today is data - from streams of sensor readings, to social sentiment, to machine logs, mobile apps, and more. Analysts estimate data volumes growing at 40% per annum, with 90% of it unstructured. Uncovering new insights by collecting and analyzing this data carries the promise of competitive advantage and efficiency savings. However, the traditional Enterprise Data Warehouse (EDW) is straining under the load, overwhelmed by the sheer volume and variety of data pouring into the business, and then being able to store it in a cost-efficient way. As a result many organizations have turned to Hadoop as a centralized repository for this new data, creating what many call a data lake.
MongoDB-as-a-Service: Top 10 Considerations
Organizations such as a top investment bank, The Royal Bank of Scotland, and the US Department of Veteran Affairs use MongoDB as their Database-as-a-Service (DBaaS) platform. Building upon the success these and others have had, this whitepaper provides the top 10 considerations IT groups need to make in building their own MongoDB-as-a-Service, whether delivered from private clouds running in internal data centers or from any of the leading public cloud platforms.
MongoDB: Bringing Online Big Data to BI And Analytics
Business Intelligence (BI) and analytics provides an essential set of technologies and processes that organizations have relied upon over many years to guide strategic business decisions. With the emergence of new data sources such as social media, mobile applications, and sensor-equipped “Internet of Things” networks, organizations can extend BI to deliver real-time insight and discovery into such areas as operational performance, customer satisfaction, and competitor behavior.
MongoDB Brochures and Data Sheets
A collection of MongoDB Brochures and Data Sheets that will help provide an in-depth understanding of its product features and latest technology offerings.
First look at MongoDB
Today there is a lot of buzz around NoSQL technologies. We face many such queries from our customers and prospects on NoSQL DB and its utilities, on a daily basis. So here’s a close study of the most talked about NoSQL technology - MongoDB and the reason behind its global acceptance and popularity. We got involved in a few POCs with MongoDB and this paper shares our take-in from those explorations and POCs.
MongoDB Multi-Document ACID Transactions
MongoDB 4.0 adds support for multi-document ACID transactions. This makes MongoDB the only database to fully combine the ACID guarantees of traditional relational databases, the speed, flexibility, and power of the document model, with the intelligent distributed systems design to scale-out and place data where you need it.
MongoDB for your IoT Architecture-Challenges, Platform, Architecture
A statement heard decades ago at a small software company in the midwestern United States foreshadowed what has now become a global phenomenon: "If a toaster could emit information about itself and accept controls, our system could manage a toaster." 1 While this has morphed into an oft-heard jest in the software world, "but does it make toast?", the idea exposed thinking around a new phenomenon that became known as the "Internet of Things" (IoT). British entrepreneur Kevin Ashton coined the term in 1999 at Auto-ID Labs, referring to a global network of objects discoverable using radio frequency identification (RFID).
Enabling Microservices-Containers and Orchestration Explained
Want to try out MongoDB on your laptop? Execute a single command and you have a lightweight, self-contained sandbox; another command removes all traces when you're done. Need an identical copy of your application stack in multiple environments? Build your own container image and let your development, test, operations, and support teams launch an identical clone of your environment.