Version 4.0 of the Couchbase Server NoSQL document database adds multi-dimensional scalability and global secondary indexes, improved cross-datacenter replication, and general availability of N1QL, Couchbase’s SQL-based query language.

Download the whitepaper to learn more!

As enterprises adapt to the digital economy, development and operations teams have to build and maintain web, mobile, and IoT applications faster and at greater scale. At leading companies, NoSQL has become a foundation for success. The Couchbase white paper, “Moving from Relational to NoSQL: How to Get Started,” guides you through:

• Choosing the right application for your first NoSQL project
• Strategies for modeling relational data as documents
• How to access documents within your application
• How to migrate data from a relational to a NoSQL database
• The basics of operating a NoSQL vs. a relational database

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

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

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.

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

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.

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?

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

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

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.