Press Room

Joyent spins up ZFS object store

June 25th, 2013

The twist is that objects stored in the service can be coupled with compute via the MapReduce framework via use of the ZFS filesystem, so any analysis of the information can be done locally – giving a proximity of calculation unavailable on AWS (unless using its wobbly EBS block store). Read More ›

With Manta Storage, Joyent Eyes Data Services

June 25th, 2013

There’s an old saying from Wayne Gretzky that great hockey players “skate to where the puck is going” rather than where it’s been. Joyent believes the intersection of cloud computing and Big Data is where the puck is going. Towards that end, the company today rolled out Manta, a new object storage service that allows Joyent customers to bring together compute and data analysis on the same cloud infrastructure. Read More ›

Big Data Analytics Moves to the Cloud

June 25th, 2013

Manta gives you the capability to execute compute tasks including log analysis, search index generation, financial analysis and other data-intensive tasks without moving data or setting up compute clusters and processing software. Cantrill explains that code is brought in parallel to physical servers in secure containers while data is automatically merged using the industry-standard MapReduce pattern. Read More ›

Joyent Releases Cloud Object Store Platform Manta

June 25th, 2013

The new service is the latest move in Joyent’s focus on cloud services, an area it started to accelerate last year with the addition of Henry Wasik, Joyent CEO. Recently, Joyent added 13 new instance types to mimic Amazon’s most popular virtual server types, and began offering a database-as-a-service on its cloud platform. Read More ›

Joyent Rolls Out In-Place Big Data Analytics as a Service

June 25th, 2013

By removing the need to manage infrastructure and move data, the service speeds up processing of big data and lowers the cost of such processing, the provider said in a statement. The compute tasks include log analysis, search index generation, financial analysis and many other data-intensive tasks that normally require data movement or setup of separate compute clusters and processing software. Read More ›

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