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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.
With the explosion of rich multimedia content and data, proliferation of ever more powerful smartphones and tablets, and plethora of mobile apps available in the market, mobile app developers are constantly seeking out new ways to drive app adoption. Mobile apps are becoming very data-driven in nature, as it is really the content and continuous access to that content that truly differentiates the best apps that succeed in the market from those that don’t. There is a new breed on mobile apps that’s quickly becoming the norm: apps that are always-available and always-responsive even when the network is down or slow. Download this white paper to find out how to use Couchbase Mobile to build always-available offline apps that will improve your apps’ user experience.
This white paper takes a look at the differences between relational and document database technology, highlights the implications of those differences for application developers, and provides guidance that can ease the transition from relational to NoSQL.
We’re now seeing an explosion in the number and types of devices, the number of mobile users, and the number of mobile applications, and users are increasingly interacting with larger volumes and varieties of data on their devices. More powerful devices, better data-sync capabilities, and peer-to-peer device communications are dramatically impacting what users expect from their apps and which technologies developers will need to utilize to meet those expectations.
The unique architecture of Couchbase Server allows for easy scalability, consistent high performance, flexible data model and always-on 24x365 characteristics. In this paper we'll explore the internal components and design of Couchbase Server in detail.
In this benchmark report from Altoros Systems, the performance of Couchbase Server, MongoDB, and Cassandra are compared by simulating workloads of interactive web applications.
Couchbase Server is now a document database. Couchbase Server 2.0 adds new features, including support for JSON documents, indexing and querying, incremental Map Reduce and cross datacenter replication. These new features are in addition to the existing capabilities of easy scalability, high- performance and always-on characteristics. In this whitepaper we share more details about the new features of Couchbase Server 2.0.
Are you dealing with memcached problems like cold cache, heavy contention of RDBMS resources and lack of scale-out flexibility? Several organizations have successfully replaced memcached tiers with a Couchbase cluster. Couchbase Server, a NoSQL database is a drop-in replacement for memcached tiers and addresses these challenges.
Couchbase Server 2.0 supports cross datacenter replication (XDCR), providing an easy way to replicate data from one cluster to another for disaster recovery as well as better data locality. This whitepaper describes how XDCR works in Couchbase Server including the difference between intra-cluster replication and cross datacenter replication, various XDCR topologies, and use cases where XDCR is beneficial.
Whether you're building an online publication, a product catalog or a third-party data aggregation app, a NoSQL document database is a great match for your platform. In this white paper you will learn how Couchbase Server document database technology, integrated with full-text search from Elasticsearch, provide a great combination for building rich, content-centric applications.
Many games have accelerated from zero to millions of users literally overnight — OMGPOP’s Draw Something game recently reached 50 million downloads within 50 days of the launch. Figuring out how to support that kind of growth, while sustaining a snappy and compelling gaming experience, presents an enormous challenge at every layer of the game’s technology stack. To power all this virtual online activity, a solid backend system is needed as the demands on the social game applications fluctuate. Learn why NoSQL databases are particularly suited to support social games.
Unlike traditional relational databases, Couchbase Server, a NoSQL database, provides easy scalability, consistent high performance, always-on 24x365 operations, and a flexible data model. Couchbase powers some of the most popular social and mobile games from companies like Zynga, EA, Tencent, Shuffle Master and many others. In this whitepaper, we’ll explore the database capabilities that have made Couchbase Server the preferred database for social and mobile games.
Ad and offer targeting systems present a host of interactive software scaling challenges. Interactive software software with which a person iteratively interacts in real time) has changed in fundamental ways over the last 35 years. The “online” systems of the 1970s have, through a series of intermediate transformations, evolved into today’s web and mobile applications. These systems solve new problems for potentially vastly larger user populations, and they execute atop a computing infrastructure that has changed even more radically over the years. Learn how a NoSQL database is best positioned to support ad and offer targeting systems.