High Performance with Distributed Caching: Key Requirements for Choosing the Right Solution

Many caching solutions are complex, expensive, and lack the key features and capabilities you really need. Learn how to scale your applications while improving performance and cutting costs. This guide, “High Performance with Distributed Caching: Key Requirements for Choosing the Right Solution,” explains:
  • The key requirements for an effective distributed cache
  • Advantages and disadvantages of common solutions, including Oracle Coherence and memcached
  • How Couchbase provides a high-performance, low-cost, easy-to-manage caching solution
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Developing Applications with Cross Data Center Replication (XDCR)

Mission critical applications need a database that is always on. While intra-cluster replication helps with server failures giving you high availability, your system still remains at risk from catastrophic failures. You may also need a way to improve the response time for users when they are globally distributed by replicating information closer to them.

In this white paper you'll see:
  • Overview of XDCR and its main benefits
  • XDCR architecture, topologies and use cases
  • How to develop applications with XDCR
  • Data flow, failover and consistency considerations with XDCR
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2015 NoSQL Database Evaluation Guide

While every company has its own specific set of requirements for the NoSQL database technology that best fits its use case(s), there’s a core set of requirements that figure into most evaluations. Those requirements fall into eight categories: Data Access, Performance, Scalability, Availability, Multiple Data Centers, Big Data Integration, Administration, and Mobile. This paper delves deeply into each core requirement followed by a comparison of leading NoSQL databases.
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Criteo Case Study

Avec Couchbase Server, Criteo stimule la performance et la montée en charge horizontale de la plate-forme publicitaire numérique.
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Market Guide for NoSQL DBMSs

NoSQL DBMSs continue to disrupt modern data management and application development. Traditional vendors are reacting and complicating the decision process for information managers. This Market Guide explores NoSQL developments, vendor reactions and where the market may be heading over the next year.
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The NoSQL Tech Comparison Report

In this report, Altoros compares the architecture of three leading NoSQL databases: MongoDB, DataStax Enterprise, and Couchbase Server. The comparison covers infrastructure, administration, deployment, development, and performance and scalability.

In addition, Altoros scores the databases based on twenty (20) evaluation criteria ranging from topology to monitoring to integration. Learn how well Couchbase Server, MongoDB, and Apache Cassandra implement:
  • Deployment, Fault Tolerance, Persistence
  • Configuration, Disaster Recovery, Monitoring
  • Availability, Stability
  • Integration, Support, Usability
  • Performance & Scalability

How would you score the databases?

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Why NoSQL?

The convergence of social networks, mobile platforms, connected things, big data and cloud infrastructure redefined interactive applications. It redefined the number of users, the data, the infrastructure and a new generation of databases emerged.
Today, successful enterprises are moving beyond relational databases. In the white paper Why NoSQL?, you’ll learn:
  • How to meet user experience requirements
  • How to improve developer productivity
  • How to reduce operational costs
  • How to improve market agility
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Making the Shift from Relational to NoSQL

NoSQL database technology is increasingly chosen as viable alternative to relational databases, particularly for interactive web applications. Developers accustomed to the RDBMS structure and data models need to change their approach when transitioning to NoSQL. In this whitepaper you'll learn:
  • The main challenges that motivates the need for NoSQL
  • The differences between relational databases and distributed document-oriented databases
  • The key steps to perform document modeling in NoSQL databases
  • How to handle concurrency, scaling and multiple-place updates in a non-relational database
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The Top 10 Enterprise NoSQL Use Cases

Over the last few years, NoSQL database technology has experienced explosive growth and accelerating use by large enterprises for mission critical applications. What’s remarkable is the variety of organizations and industries adopting NoSQL. Eight to 10 years ago, when NoSQL pioneers first deployed the technology, its use was limited to Internet-age companies like Google, Amazon, Facebook, and LInkedIn. Today, enterprises across virtually every industry are deploying NoSQL. In short, NoSQL is now ready for enterprise prime time.

The document will introduce key drivers of NoSQL adoption - technical requirements and business benefits, the challenges with relational databases, and the role of NoSQL in big data deployments before providing a guide to the top 10 enterprise NoSQL use cases we’re seeing in the market today.
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IDC White paper: IBM DB2 for SAP: A No-Compromise Transactional and Analytic Database Platform

This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available. It is not easy to put forth a black-and-white choice as the SAP workloads straddle both real-time analytics and extreme transaction processing, and infrastructure choices can now be vast, given technology advancements around in-memory and faster processing speeds.

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Unstructured Data Management: 3 Points to Consider

The 2014 Digital Universe report by the IDC/EMC estimates that the digital universe is doubling in size every two years, and it is only expected to get bigger. With such massive amounts of data circulating the web, organizations are looking for solutions that will allow them to manage these data streams in real-time. Luckily, many solutions are available. However, for most organizations there is no single solution to solve all of their data challenges. The answer is often found in a combination of internal tools and external services, but with so many solutions available, where do you start?
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ESG WP: Wide-Ranging Business Objectives Demand a Wide Range of Flash Solutions

Applying flash storage in the data center promises so much: ultrafast performance, improved reliability, cost efficiency, and world-class data management. With our expertise and innovation we can help you deploy flash to unleash the performance of your applications. This white paper explores multiple paths to flash storage and why it’s your single best strategy for making faster decisions, serving your customers quicker, and gaining a competitive advantage.
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Mission: Possible! Your Cognitive Future in Government

Big data has been called the new natural resource. And this resource continues to rapidly grow in volume, variety and complexity, particularly in government. Despite the explosive growth of information across industries, less than 1 percent of the world’s data is currently analyzed. How can government organizations bridge the gap between untapped opportunities and current capabilities? The answer is cognitive computing.

Cognitive-based systems build knowledge and learn, understand natural language, and reason and interact more naturally with human beings than traditional programmable systems. Download this article to learn more!
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Why NoSQL?

The database you pick for your next application matters now more than ever. It can be difficult, and oftentimes impossible, to quickly join today's data into the relational model. Learn how a NoSQL database can act as a viable alternative to or compliment an existing relational database.
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