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Clients of the MongoDB NoSQL records shop can now keep graph databases in it. Today the company announced the introduction of MongoDB 3.four, and with it got here a host of new aspects, including the potential to host graph databases.
Kelly Stirman, vice president of approach and product marketing at MongoDB, stated this update focuses on making MongoDB the one database a developer wants, instead of having to chain collectively a half dozen servers to cover numerous database needs. To this conclusion, the company has been including multi-mannequin capabilities for some time.
Graph databases are only the latest during this direction to multi-model. “We aren't a superior-in-classification graph database, however we are adding in capabilities that we believe cover most of what people do with graph,” pointed out Stirman. “We suppose the attraction of here is that people don’t are looking to control 15 different database applied sciences: They are looking to manipulate a pair. If they can get what they want out of Mongo, then they don’t should get up Neo4j.”
This move into subsuming the obligations of different information stores was mirrored by way of the introduction of in-database search performance, which Stirman stated should still eliminate the deserve to dumb MongoDB contents into something like Elastic Search or Solr.
A further principal change to version 3.4 is the introduction of collation. In the past, MongoDB only supported UTF-8 for information labels that means sorting tips could yield mistakes involving where accented letters are placed alphabetically. Now, MongoDB supports greater than 100 languages, meaning alphanumeric sorting may also be carried out because it would in a developer’s native language.
MongoDB management and clustering tools were additionally updated for version three.4. Mentioned Stirman, “We’ve endured to enhance the leader election method for failovers to be quicker and more official in this unlock. We’ve introduced a new function for linearized reads. Now developers can offer guarantees around consistencies they may under no circumstances make earlier than.”
This dovetails with the introduction of Zones. “If I have copies of information on diverse servers in Europe, North the united states, the East Coast, the West Coast, I want to be sure clients are getting access to their reproduction of the facts in the neighbourhood so it’s always quick and provides them a great adventure,” noted Stirman. “You want to hold the information near your users consistently, if feasible. With the Zones, which you can operationally say, ‘These clients are near these datacenters, be sure their reads and writes are all the time running close to them.’ ”
Compass, the MongoDB administration tool, has additionally obtained updates, which include a refined UI to address Zones. MongoDB can also be administered from third-birthday party equipment, like CloudFoundry, Kubernetes and Mesosphere.
No te pierdas el tema anterior: Object-oriented programming and NoSQL databases