Panzura Launches Symphony to Tame Unstructured Data in the Enterprise 

Tech

Written by:

518 Views

Panzura has unveiled its latest hybrid cloud data innovation. Panzura Symphony is a data services platform that the company says is designed to align the growing complexity of unstructured data with business results and requirements. 

A company spokesperson told TechnologyWire in a press statement that management of unstructured data is complicated by digital transformation initiatives, which can cause unpredictable data fragmentation and storage growth, known as bloat. 

Unstructured data, much of it dark and underutilized, is swelling by 62% each year, according to IDC. It accounts for most of the data that is used by businesses every day.  

The Symphony platform has comprehensive vendor-certified data operations under a single pane of glass, according to Panzura. It offers expansive native integration for various file system deployments and protocols, as well as support for on-premises and cloud object storage like that offered by Amazon Web Services and Microsoft Azure. 

The company says specialized staff, such as those responsible for IT operations and other types of roles like risk and compliance teams, can use Panzura Symphony to perform automated, exabyte-scale data discovery and assessment, risk and compliance analysis, and dynamic data movement orchestration. 

The platform optimizes data placement, transformation, and restructuring for AI workflows, enabling faster analysis from collection to deployment. It equips DevOps teams with webhooks, APIs, post-run actions, and relational database integration for handling large data volumes. 

Also Read:   The Crucial Role of Image Intensification in Night Vision Optics

Dan Waldschmidt, CEO of Panzura, emphasized the strategic importance of Symphony. He said, “Panzura Symphony brings together proven technology and Panzura’s future vision where data management meets strategy for business success.” 

According to the company spokesperson, the platform complements the functionality of Panzura CloudFS, a hybrid cloud file services platform that supports large-scale multi-site workflows for the most active data. CloudFS has been in the market for several years and has hundreds of customers in segments spanning construction, engineering, banking, healthcare, and manufacturing.  

Panzura says Symphony extends the file data management company’s hybrid cloud portfolio to a much wider swath of unstructured data that goes beyond its current established offerings. According to the company, its customers need synchronous visibility and control over this data to take full advantage of digital transformation. 

The launch of Panzura Symphony comes at a time when the management of unstructured data is becoming more critical for businesses. This type of data is of growing importance with the rise of AI, self-service, departmental collaboration, cloud migrations, and regulatory compliance requirements. 

Enterprise storage teams are looking for ways to manage data across storage vendors and deliver new and improved data services to business users. A key trend is the need for a multi-layered approach to data governance, and the ability to manage risks associated with data privacy, security, and compliance. 

Also Read:   How important is API Security? These stats say it all

The Symphony platform addresses these trends by providing a comprehensive platform for managing unstructured data, according to Panzura. Its dynamic workload placement capabilities allow IT operations and storage teams to precisely orchestrate data placement, archive, and migration, transforming the data operations framework. 

Symphony’s interoperability ensures visibility and seamless integration between file system deployments and diverse storage landscapes. It also streamlines data placement, transformation, and restructuring to support AI workflows which is increasingly important as organizations look to leverage AI for business insights and decision-making. 

Panzura says the platform provides tools to manage data effectively, optimize costs, and leverage AI for business success. This includes reducing vendor lock-in at the hands of cloud providers and eliminating the need for multiple hardware and software tools.