> On 20 Sep 2016, at 11:05, Jan Lehnardt wrote:
>
> The Apache CouchDB development community is proud to announce the immediate
> availability of version 2.0.
>
> See also the official Apache Press Release:
> https://blogs.apache.org/foundation/entry/the_apache_software_foundation_announces99
>
> CouchDB 2.0 is 99% API compatible
> (http://docs.couchdb.org/en/master/whatsnew/2.0.html#upgrade-notes) with the
> 1.x series and most applications should continue to just work.
>
> # Cluster
>
> CouchDB 2.0’s prime new feature is naive
*native, of course. *sweat*
> support for clustering. It is based on the Dynamo paper
> (http://www.allthingsdistributed.com/2007/10/amazons_dynamo.html) and the
> work done at Cloudant and IBM in the BigCouch project which is now fully
> merged into Apache CouchDB project.
>
> In short, clustering means that you can take a set of computers or virtual
> machines in the same data center and make them behave like a single, unified
> CouchDB instance. This has three benefits:
>
> 1. fault tolerance: data is stored on more than one computer. A CouchDB 2.0
> cluster obviates the need for custom setup of failover CouchDB instances.
>
> 2. performance: data is split up and only a part lives on each node in a
> cluster. That means each node only has a fraction of the work to do (like
> computing a view index) than a single node instance would have.
>
> 3. capacity: with setups of multiple computers storing data, and with data
> being split among nodes, it is now possible to store amounts of data in
> CouchDB that exceed the capacity of a single computer many many times,
> setting CouchDB up for genuine Big Data solutions.
>
> You have full control over all parameters of the cluster to suit every
> project’s needs.
> Note: CouchDB 2.0 can also be configured as a “single node”-cluster, if none
> of the above benefits are relevant to you.
>
> See the CouchDB 2.0 Architecture blog post
> (https://blog.couchdb.org/2016/08/01/couchdb-2-0-architecture/) for more
> information about the clustering technology.
>
> # Easy Queries
>
> The second major feature is the declarative query language “Mango”. Mango is
> easier to use and faster in operation than the existing JavaScript-based
> Views. Of course, JavaScript Views continue to work.
>
> See the Mango Query blog post
> (https://blog.couchdb.org/2016/08/03/feature-mango-query/) for more
> information about Mango.
>
> # New Admin Interface
>
> CouchDB 2.0 comes with a completely rewritten administration interface
> (nickname “Fauxton”), built in React.js. It sports a modern look, advanced
> features and a code-base that is easy to contribute to.
>
> See Fauxton, the new CouchDB Dashboard for more info.
>
> # Performance
>
> Both the replicator and compactor have undergone significant performance
> improvements that will speed up replication between CouchDB instances as well
> as PouchDB (https://pouchdb.com/) and Couchbase Lite instances.
>
> Compaction can now be run at any time, even continuously, with an
> i/o-queueing system ensuring that live requests are not slowed down while
> compaction is running.
>
> In addition: the compaction process is shorter, uses less CPU and RAM,
> produces smaller database files and freshly compacted databases are
> significantly faster to read from.
>
> See Feature: Replication (https://blog.couchdb.org/2016/08/15/) and Feature:
> Compaction (https://blog.couchdb.org/2016/08/10/) for more info.
>
> # New Logo
>
> CouchDB 2.0 comes with a brand new Logo, designed by Constantin Angheloui.
> The website, docs and other materials have been updated. See the CouchDB 2.0
> branding guide for details:
> https://github.com/apache/couchdb-www/blob/asf-site/CouchDB-visual-identity/CouchDB-brand-book.pdf
>
> # More Details
>
> For more details, please refer to our 2.0 blog post series:
> https://blog.couchdb.org/2016/08/23/check-out-the-road-to-couchdb-2-0-series/
>
> # Download
>
> Apache CouchDB 2.0 downloads are available from the official website:
> http://couchdb.apache.org/#download.
>
> # Acknowledgements
>
> The community would like to thank all contributors for their part in making
> this release, from the smallest bug report or patch to major contributions in
> code, design, or marketing, we couldn’t have done it without you!
>
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