Qumulo boosts HPE Apollo Gen10 lineup, making unified hybrid cloud unstructured data storage and real-time insights possible

Qumulo announced Monday global availability of a new line of fully integrated file storage solutions on the highly performant Hewlett Packard Enterprise (HPE) Apollo 4200 Gen10 servers. The new solution provides enterprise organizations scalable, software-defined file storage with deep data visibility into unstructured data workloads that scale-across on-premise, hybrid and cloud environments.

HPE Apollo Gen10 addresses storage-centric workloads while adapting to future requirements with a superior hardware system architecture that is data-secure by design throughout the product lifecycle. 

HPE’s new technology, called silicon root of trust, allows enterprise organizations to be confident that nowhere in the supply chain were modifications made to hardware platforms. Coupled with FIPS 140-2 encryption-at-rest, the new Gen10-based platforms deliver innovation for secure, enterprise file storage.

The joint solution provides ultra-dense rack-scale file storage, low total cost of ownership (TCO) in a 2U chassis, and configurations optimized for performance, mixed workloads, and active archive. Geographically dispersed environments can leverage continuous replication to move data between data centers and the public cloud.

The file storage market is growing rapidly to process, analyze and store massive unstructured data sets. Analyst firm IDC reports that the scale-out file storage market will become an US$11 billion market by 2022, up nearly two times from previous forecasts.

“Global enterprises are increasingly looking to scalable file storage to address their massive unstructured data processing, analytics and retention demands,” said Amita Potnis, Research Director, Infrastructure Systems, Platforms and Technologies Group at IDC.

“By delivering our scale-across file storage technology as software, Qumulo provides customers an unprecedented level of choice, freedom and flexibility. Our software model enables customers to benefit from the world’s most capable and simple-to-manage file system, while at the same time, taking advantage of the significant advancements from HPE in security and predictive analytics to prevent infrastructure problems before they happen,” said Bill Richter, CEO of Qumulo. “Qumulo’s file storage, delivered on the Apollo Gen 10 platform, offers companies the best of both worlds. I’m delighted that the partnership with HPE delivers on our joint promise of innovation and customer success.”

“The powerful combination of HPE Apollo 4200 Gen10 servers, together with Qumulo’s hybrid cloud file storage, effectively addresses the growing unstructured data needs that enterprises are facing,” said Patrick Osborne, vice president and general manager for big data, analytics and scale-out data platforms at Hewlett Packard Enterprise.. By sharing our vision of the intelligent data platform, we provide the ability to scale and manage billions of files with instant control at lower costs and high performance on-prem, in the cloud, or spanning both, now and into the future.”

SnapLogic extends alliance with Databricks to boost data lake reliability; analyze big data workloads in the cloud

SnapLogic has expanded its partnership with Databricks with new support for Delta Lake, the open source storage layer created by Databricks that brings reliability to traditional data lakes. 

Together, the joint solution helps customers accelerate the integration, transformation, and processing of big data workloads into Delta Lake, increasing data quality and accelerating the time to value of advanced analytics and machine learning initiatives.

Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. Delta Lake runs on top of existing data lake and is fully compatible with Apache Spark APIs. Delta Lake on Databricks allows users to configure Delta Lake based on their workload patterns and provides optimized layouts and indexes for fast interactive queries.

Delta Lake sits on top of Apache Spark. The format and the compute layer helps to simplify building big data pipelines and increase the overall efficiency of the pipelines.

Organizations are increasingly investing in data lakes to gain actionable insights into their growing data assets. However, the high volume and complexity of data often results in data quality, reliability and performance issues. 

Together, SnapLogic and Databricks are removing these roadblocks by providing a low-code, visual paradigm for data engineers to create and process data pipelines that leverage the full power of Delta Lake — including features like ACID transactions, scalable metadata handling, schema enforcement, and batch and streaming support.

“Databricks and SnapLogic are committed to delivering product innovations that help organizations reduce the time, effort, and skills needed to manage their big data initiatives so they can quickly turn their data into meaningful insights that drive the business forward,” said Craig Stewart, chief technology officer, SnapLogic. “By teaming up with Databricks, we aim to remove the key technical barriers to data lake and big data management so our customers can accelerate their analytics and machine learning initiatives and focus on delivering real business value.”

Data Dynamics set to buy Infintus Innovations to provide analytics for data visibility, compliance, governance

Data Dynamics announced this week its intent to acquire Infintus Innovations, with the acquisition to close before the end of the year. 

Infintus is a data analytics company that automates and analyzes unstructured data using AI. The addition of Infintus enables Data Dynamics to provide content level analytics, thus offering more granularity into the visibility of data and complementing its metadata-driven analytics, policy-based movement, and management capabilities. 

Together, Data Dynamics' and Infintus' capabilities enable dynamic data for the digital enterprise. The combination of solutions provides intelligent data management solutions where data-driven strategy accelerates revenue, compliance, agility, and intelligence.

Data Dynamics prioritizes data visibility, compliance, and governance with the acquisition of Infintus innovations. The M&A strengthens Data Dynamics' value offerings by adding depth and granularity to its data analytics capabilities, and drives innovation and growth within the customer's data environment, Data Dynamics manages data life cycle from understanding data to data location optimization 

With revenue, compliance, and optimization being the top 3 initiatives in the CEO's agenda, this acquisition is ideal to receive explosive growth within the market and across all industries. This growth opportunity is further aided by enterprises that are looking to adopt hybrid cloud solutions and require complete data visibility for business-driven placement of data workloads.