Friday, 21 January 2022 10:33

Cloudian simplifies intense workloads with Weka Data Platform integration

Cloudian director ANZ, Oceania, and Asean James Wright Cloudian director ANZ, Oceania, and Asean James Wright

Cloudian integrates its HyperStore object storage with the Weka Data Platform for AI, providing private cloud storage for processing iterative analytics workloads.

The solution simplifies data pipeline for performance-intensive workloads and accelerated DataOps all managed under a single platform. It reduces the storage TCO associated with data analytics by a third compared to traditional storage systems.

Advanced analytics workloads create data storage challenges
Organisations are consuming and creating more data, and many are applying artificial intelligence (AI), machine learning (ML), and other advanced analytics on these large data sets to make better decisions in real-time and unlock new revenue streams.

These analytics workloads create and use massive data sets that pose significant storage challenges. It manages the data growth and enable users to extract timely insights from that data. Traditional storage systems simply can’t handle the processing needs or the scalability required for iterative analytics workloads and introduce bottlenecks to productivity and data-driven decision making.

Cloudian-Weka next generation storage platform
Cloudian and Weka enable organisations to solve the challenges of accelerating and scaling their data pipelines while lowering data analytics storage costs.

The joint solution offers the simplicity of NAS, the performance of SAN or DAS and the scale of object storage, along with accelerating every stage of the data pipeline from data ingestion to cleansing to modelled results.

Integrated through Weka’s tiering function, Cloudian’s enterprise-grade, software-defined object storage claims that it provides the following key benefits:

High performance – Run concurrent workloads while eliminating compute cluster bottlenecks and reducing processing times.
Exabyte scalability – Grow deployments on demand, from terabytes to an exabyte without disruption.
Enterprise-grade security – Protect data with encryption in flight and at rest, integrated firewall, RBAC/IAM and SAML access controls, and certification with the most rigorous regulatory requirements, such as Common Criteria, FIPS and SEC Rule 17a-4(f).
Resiliency – Achieve high data durability with the option to protect and distribute data using replication or erasure coding, thereby eliminating the need for a separate data backup process.
Multi-tenancy – Provision multiple users on shared infrastructure without compromising security.
Cost-effective – Save on storage costs, as the solution runs on standard x86 hardware with local NVMe SSDs.

“Cloudian and Weka share a strong partnership in Australia and New Zealand, working with local resellers and service providers such as CSW-IT, NTT and Perfekt, and solving big data challenges for healthcare organisations, research facilities, universities, and geological organisations,” comments Cloudian director ANZ, Oceania, and Asean James Wright.

“This integration will take that partnership to the next level across the region. Together, we can support increasingly large data lakes and pools, supercomputing, and even quantum computing capabilities in the near future, helping ANZ organisations map genomic sequencing, model outcomes using AI.”

“As organisations increasingly employ AI, ML and other advanced analytics to extract greater value from their data, they need a modern storage platform that enables fast, easy data processing and management,” comments Weka president Jonathan Martin.

“When it comes to supporting advanced analytics applications, users shouldn’t have to make trade-offs between storage performance and capacity,” concludes Cloudian chief marketing officer Jon Toor.

“By eliminating any need to compromise, the integration of our HyperStore software with the Weka Data Platform gives customers a storage foundation that enables them to fully leverage these applications so they can gain new insights from their data and drive greater business and operational success.”

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