Press Room

How Joyent Uses OS Virtualization to Deliver its Manta Object Storage Platform

July 10th, 2013

Log processing is one of the chief use cases that Cantrill says Manta is currently being used for. Transcoding multimedia is another, said Cantrill, who explained that with Manta, because the tenant doesn’t need to pull their images into transient compute, they can transcode them at rest and create new Manta objects as a result. Read More ›

Joyent's Manta Brings Analytics to Your Cloud Data

June 26th, 2013

Laura DiDio, an analyst with Information Technology Intelligence Consulting, said that this availability of computing with object storage is "where the industry is going," and added that Joyent is "playing at the leading edge of the market." Read More ›

The Morning Download: Why Google’s Big Data Battle Matters to CIOs

June 26th, 2013

Joyent combines computing, storage in one service. Infrastructure-as-a-Service provider Joyent announced a new service that allows customers to compute in the same location where their data is stored. Many cloud providers, such as Amazon Cloud Services, keep storage and compute services separate, notes GigaOm’sJordan Novet. Read More ›

Joyent Expands Cloud Offering With Object Storage and Data Services Platform

June 25th, 2013

New High-Performance Joyent Manta Storage Service Establishes a New Standard for Data Analysis, Speeding Time to Insight and Decreasing Cost San Francisco, CA, June 25, 2013 – Joyent, the high-performance cloud infrastructure and big data analytics company, today announced the availability of Joyent Manta Storage Service, a next-generation cloud object store and data services platform that brings compute and analysis capabilities directly to customers’ data in the cloud. As the first true con… 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 ›

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