Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

SwiftStack Announces Data Analytics Solution with 10x Performance and Massive Scale

SwiftStack, the leader in multi-cloud data storage and management, announced a new solution for big data analytics and machine learning for hybrid cloud and multi-cloud environments.

“SwiftStack’s data analytics solution solves this problem by providing a cost effective yet high performance and rich alternative to power modern data-intensive workloads.”

The solution is built for data-driven workloads using popular frameworks and applications like Hadoop, Spark, Presto, TensorFlow, and Hive, and delivers ten times the performance with a practical, cost-effective workflow spanning on-premise and public cloud resources. This enables users to create a high-performance big data analytics or AI/ML data pipeline in a “memory-first” architecture where storage and compute are decoupled and can scale on-demand, to billions of files and hundreds of petabytes, as data load and/or performance needs grow.

Read More: Lockheed Martin and Drone Racing League Announce 2019 AlphaPilot Teams

The SwiftStack solution is powered by SwiftStack’s object-based cloud storage and 1space multi-cloud data management as well as Alluxio, a data orchestration layer that sits between compute frameworks and storage. This eliminates common challenges with analytics applications today, including a lack of enterprise-ready multi-cloud workflows with appropriate data management tools, insufficient throughput, or insufficient API compatibility to support descriptive, interactive and predictive analytical workloads.

“We’re seeing an ever-increasing demand to extract value from data with AI and analytics workloads, and bringing the data closer to compute anywhere, with high performance and low cost is consistently becoming a challenge for enterprises,” said Dipti Borkar, Alluxio Vice President of Product and Marketing. “SwiftStack’s data analytics solution solves this problem by providing a cost effective yet high performance and rich alternative to power modern data-intensive workloads.”

Read More: AI Venture Builder to Raise $2.5 Million to Launch AI Companies

“Enterprises are ready to move from HDFS to on-premise S3, enabled by ingest and training performance, meta-data scalability, durability, and economics, but often data locality and API support used to be obstacles,” said Shailesh Manjrekar, Head of AI/ML Solutions Marketing and Corporate Development at SwiftStack. “Our new solution brings together the best of both worlds – SwiftStack providing the ideal data storage and management platform and Alluxio providing the compute data orchestration and API accessibility.”

Read More: Molecula Launches to Make Enterprise Data AI-Ready

Leave A Reply

Your email address will not be published.