MapR App Gallery Jumpstarts Hadoop Projects by Delivering Ready-To-Use Tools, Apps
MapR Technologies is looking to give enterprises a powerful new way to jumpstart their big data projects with a rich collection of ready-to-use resources from the best-known names in Hadoop. The MapR App Gallery includes apps, tools and utilities for analytics, data integration, queries, provisioning, security and more. IDN speaks with MapR’s Jack Norris.
by Vance McCarthy
chief marketing officer
"Popular [MapR App Gallery] apps focus on data analytics, real-time operational analytics, streaming, search, and security."
MapR Technologies is looking to give enterprises a powerful new way to jumpstart their big data projects with a rich collection of ready-to-use resources from the best-known names in Hadoop.
The MapR App Gallery includes apps, tools and utilities for analytics, data integration, queries, provisioning, security and more. The gallery, thought to be a first for Hadoop, will “make it much easier and faster to achieve success,” MapR’s chief marketing officer Jack Norris told IDN.
“There is already a broad range of applications available [from the gallery], and we anticipate the number of applications will grow. Some of these [resources] are free examples, some of them are commercial products,” Norris said, noting that the gallery also includes links to allow users to download software from third-party sites.
At its launch, a sampling of MapR App Gallery resources is noteworthy, and includes:
- For devs: Data integration, query engines and frameworks
- For admins: Apps for provisioning, management, and security
- For analysts: Apps for analytics, BI, machine learning and search
Third-party contributors to the gallery include a wide range of big data providers. At launch, these include: Alpine Data Labs, Appfluent, Dataguise, Data Tactics, Datameer, DataTorrent, Elasticsearch, Hadapt, HP Vertica, Informatica, Information Builders, Jaspersoft, LucidWorks, 0xdata, Pentaho, Platfora, Rainstor, Revelytics, Revolution Analytics, Skytree, Splice Machine, Splunk, StackIQ, Syncsort, Tableau, Talend, Voltage and Zementis
We asked Norris if the MapR App Gallery can be compared to the type of app stores that help drive success for the mobile sector.
Link to MapR App Gallery http://www.mapr.com/appgallery
Contribute to the MapR App Gallery here. http://www.mapr.com/appgallery/submit-app
“An ‘app store’ could certainly be an inspiration, but the real idea came from customer requests to understand what types of use cases or applications could be used or built on Hadoop,” he said. “The [MapR] App Gallery is a showcase of different applications that people are building for Hadoop.”
In fact, contributors to the gallery come from across the Hadoop ecosystem. “It could be something as simple as what third-party tools can leverage data within Hadoop such as analytic packages from Tableau or Skytree. Or examples to understand how to build a recommendation engine or real-time streaming application,” he said.
Beyond breadth, MapR also wants the gallery to be a trusted source for such resources. “[MapR] App Gallery contributors have verified that their applications interoperate with the MapR Distribution. [They] include documentation for installing and running the application and details on whether the support model is community-based or commercial support,” Norris said.
Some of these are downloadable with no charge such as the Sandbox integrated apps, with others there are links to download the software from the third party site.
“The gallery is open to anyone in the [Hadoop] community. There is no requirement to be a MapR customer,” Norris added. That said, MapR also optimized many items in the gallery for use by customers of MapR’s distrbution. “Some of the [gallery] applications have been integrated into the MapR Sandbox for Hadoop making it very easy to use and experiment with apps in a virtual environment,” he said.
So what are some of the most popular MapR App Gallery resources so far? Norris shares some results.
“The most popular apps focus on data analytics (reporting, predictive analytics), real-time operational analytics and streaming, search, and security,” he said. Parts of this list aligns with MapR’s own focus on a way to accelerate operational analytical workloads for Hadoop and support big data projects with real-time requirements, such as fraud detection, recommendation engines, and sensor data apps, Norris added.
Norris even gave IDN a peek into the MapR App Gallery’s next chapter. “Up next, we want to give customers more specific examples and applications within given industries such as telecommunications/mobile, financial services, retail, media/advertising, and examples around leveraging the Internet of things,” he told us.
In fact, MapR invites contributions from third-party companies and even individual devs, especially contributions that will “enable [big data adopters] to better optimize revenue, control costs and mitigate risk,” Norris said.
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