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MapR Technologies, Inc has launched at what it says is the industry’s first Hadoop application gallery. Launching with solutions from a wide range of Hadoop ecosystem partners, the MapR App Gallery is designed to help customers derive greater business value from big data as they scale-out their enterprise data architectures.
Aimed at end-user developers, administrators, and analysts who want to develop more sophisticated big data capabilities to enhance their business operations and decision-making, the MapR App Gallery offers the benefit of ready-made big data utilities and applications.
“Our customers typically run many different applications on a MapR cluster and the App Gallery makes it much easier and faster to achieve success,” said Jack Norris, chief marketing officer, MapR Technologies. “There is already a broad range of applications available, and we anticipate the number of applications will grow – particularly those leveraging unique capabilities that enable customers to better optimize revenue, control costs and mitigate risk.”
The App Gallery includes administrator-oriented apps for provisioning, management, and security; developer-oriented applications, query engines and frameworks; and analyst-focused applications for business intelligence and machine learning. Partners and solutions represented in the MapR App Gallery today include:
· Database: Hadapt, HP Vertica, Rainstor, and Splice Machine
· Analytics and Data Integration: Alpine Data Labs, Appfluent, Data Tactics, Datameer, DataTorrent, Informatica, Information Builders, Jaspersoft, Pentaho, Platfora, Revelytics, Revolution Analytics, Syncsort, Tableau, and Talend
· Search: Elasticsearch and LucidWorks
· Machine Learning: 0xdata, Skytree, and Zementis
· Management and security: Dataguise, Splunk, StackIQ, and Voltage
The MapR Distribution is the most open distribution for Hadoop with industry-standard APIs to make it plug-and-play without special-purpose connectors or porting. Developers are encouraged to participate by leveraging one or more of the following open interfaces in their applications:
· Storage access via HDFS API and NFS
· Job execution via YARN, Tez, MapReduce, and Spark
· Ecosystem interfaces including HBase, HiveQL, PigLatin
· SQL via Drill, Hive, Stinger/Tez
· Administration interfaces including REST
