SwiftStack,
the leader in multi-cloud data storage and management, today announced a
new solution for big data analytics and machine learning for hybrid
cloud and multi-cloud environments.
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.
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."
"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."
The
solution is easy to deploy and scale by adding standard on-premises
server hardware and account capacity in Amazon Web Services or Google
Cloud Platform. Applications and users have universal access (file and
object) to a single data namespace, and data is placed across the system
by user-defined policies. Any amount of metadata can be added and
indexed in the system, allowing for easier searching.