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What is PrimaryIO?

PrimaryIO's HDM technology revolutionizes the separation of compute from storage, enabling the quick movement of workloads to and from the cloud while maintaining total control over data. This cutting-edge system merges workload mobility with sophisticated data management through components like cloud cache, a cloud storage gateway, and an intelligent IO analyzer that reveals access patterns between virtual machines and datastores. The intelligent IO analyzer effectively pinpoints frequently accessed data, known as hot sets, and provides practical recommendations for optimization. By focusing on transferring only the most critical data to the cloud, HDM storage gateways maintain secure connections with on-premises data stores. The agile and secure cloud cache feature of HDM supports the swift deployment of cloud instances. Integrated seamlessly into VMware vCenter as a plug-in, HDM oversees all operations without disrupting application performance, ensuring a smooth user experience. This technology empowers organizations to conduct swift cloud testing, allowing for seamless migrations without associated risks. Moreover, the flexibility it offers enables rapid lifting and shifting of workloads or straightforward rollbacks when necessary, making it an excellent choice for businesses seeking to utilize cloud resources during peak periods. Ultimately, this adaptable solution equips companies to respond efficiently to evolving demands, enhancing their overall operational agility.

What is IBM Analytics Engine?

IBM Analytics Engine presents an innovative structure for Hadoop clusters by distinctively separating the compute and storage functionalities. Instead of depending on a static cluster where nodes perform both roles, this engine allows users to tap into an object storage layer, like IBM Cloud Object Storage, while also enabling the on-demand creation of computing clusters. This separation significantly improves the flexibility, scalability, and maintenance of platforms designed for big data analytics. Built upon a framework that adheres to ODPi standards and featuring advanced data science tools, it effortlessly integrates with the broader Apache Hadoop and Apache Spark ecosystems. Users can customize clusters to meet their specific application requirements, choosing the appropriate software package, its version, and the size of the cluster. They also have the flexibility to use the clusters for the duration necessary and can shut them down right after completing their tasks. Furthermore, users can enhance these clusters with third-party analytics libraries and packages, and utilize IBM Cloud services, including machine learning capabilities, to optimize their workload deployment. This method not only fosters a more agile approach to data processing but also ensures that resources are allocated efficiently, allowing for rapid adjustments in response to changing analytical needs.

Media

Media

Integrations Supported

VMware vCenter

Integrations Supported

Acquia CDP
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
MINT
RadiantOne
Switch Automation
ZARUS

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$0.014 per hour
Free Version

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

PrimaryIO

Date Founded

2012

Company Location

United States

Company Website

www.primaryio.com/hybrid-cloud-data-mgmt/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/analytics-engine

Categories and Features

Cloud Migration

Not specified

Categories and Features

Data Discovery

Not specified

Data Visualization

Not specified

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