insideBIGDATA Latest News – 7/6/2021


In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

Datometry Launches Hyper-Q for Oracle  Accelerating Cloud-First Data Warehouse Re-platforming

Datometry, the pioneer in Database Virtualization, announced support for Oracle applications in its flagship product Datometry® Hyper-Q™, the first database virtualization platform to make databases and applications fully interoperable. Datometry Hyper-Q for Oracle will enable enterprises to run their business-critical applications, originally written for Oracle, on Microsoft Azure Synapse, Google BigQuery or Amazon Redshift without the hassle of a painful database migration.

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Datometry Hyper-Q empowers enterprises to run their existing applications on modern cloud data warehouses without rewriting or reconfiguring them, providing a significant reduction in time, cost and risk compared to attempts at manual migration. Using Hyper-Q for Oracle enterprises can re-platform their data warehousing workloads from Oracle to the public cloud within months.

“IT leaders dependent on Oracle today are increasingly desperate to move to cloud-native alternatives. However, conventional database migrations have long been the bane of the industry: they are incredibly expensive, time-consuming, and highly risk-laden,” said Mike Waas, CEO, Datometry. “Hyper-Q for Oracle changes the dynamics completely. With Hyper-Q enterprises can now re-platform their applications, originally built on Oracle, to a modern cloud data warehouse at a fraction of time, cost, and risk.”

Yellowfin Launches Data Storytelling Feed In New Release

Yellowfin, a leading analytics vendor, has released version 9.6 with new enhancements and capabilities that unify actionable dashboards, automated business monitoring and data storytelling into a unique analytics experience for business users. Yellowfin Stories, introduced in Yellowfin 8, enables the creation of data narratives that generate a consistent understanding across an enterprise. Business users have the ability to combine written, long form analysis with embedded images, text, video or snapshots of analytical content from Yellowfin, all within a governed and secure platform.

“As analytic capabilities expand, the demand for a new analytics experience beyond traditional dashboards and users is increasing,” said Glen Rabie, CEO of Yellowfin. “Our Signals and Story products are unique and combining feeds from both products with our exceptional action-based dashboards, enables Yellowfin to deliver a unified, consumer-focused analytics experience to our customers who are looking to use data in more decisions.”

Chorus.ai Expands Momentum Suite, Giving Revenue Leaders an In Depth View of Deal Pipeline

Chorus.ai, the Conversation Intelligence Platform for high growth Revenue teams, announced Momentum Pipeline, an extension of the Momentum Suite, which offers a holistic view of deal pipeline in real-time. Revenue leaders and frontline managers require the ability to view the overall health of current opportunities while still being able to dive deeper into individual accounts for detailed relationship intelligence. 

“Extending our vision of the Momentum suite to include a summary of deal pipeline enables Revenue leaders to quickly understand the individual opportunities with high engagement and those at risk,” said Jim Benton, CEO of Chorus.ai. “Momentum is the first purpose-built solution to enable managers to quickly and precisely pinpoint the relationships that need their attention based on AI-driven signals like ‘wow’ moments or when a competitor comes up. They can then instantly drill into the specific moments behind those interactions for coaching and forecasting purposes. It’s an incredible advancement for all Revenue teams and one that you can’t imagine not having once you use it.” 

DigitalOcean Launches Managed MongoDB 

DigitalOcean Holdings, Inc. (NYSE:DOCN), the cloud for developers, startups and SMBs, announced DigitalOcean Managed MongoDB, a new, fully-managed database as a service (DBaaS) offering in partnership with MongoDB, Inc., a leading, modern general purpose database platform. Managed MongoDB helps developers of all skill levels easily spin up MongoDB clusters on DigitalOcean.  It also simplifies database administration by seamlessly managing, scaling and securing clusters so developers can spend more time building their apps and growing their businesses. 

“DigitalOcean’s managed services are a key way we help eliminate the complexity of the cloud so customers can easily turn their ideas into powerful applications that help change the world,” said Jeff Guy, Chief Operating Officer, DigitalOcean. “Our partnership with MongoDB expands our portfolio of highly curated, managed offerings tailored specifically to the developer, startup and SMB markets. By adding support for MongoDB we can extend the benefits of this powerful technology to our customers around the world — even those without database experience or expertise.” 

Alluxio Brings Substantial Performance and Ease of Use Improvements to GPU-Centric AI/ML Workloads with v2.6 Release

Alluxio, the developer of open source data orchestration software for large-scale workloads, announced the immediate availability of version 2.6 of its Data Orchestration Platform. This new release features an enhanced system architecture enabling AI/ML platform teams using GPUs to accelerate their data pipelines for business intelligence, applied machine learning and model training.

“Enterprises seeking competitive advantage are making greater use of machine learning and AI to derive insights from massive datasets,” said Haoyuan Li, Founder and CEO, Alluxio. “These datasets are often distributed across hybrid cloud environments, making more consistent and efficient data access critical to realizing the value from their AI/ML initiatives.”

MANTA Launches Latest Version of its Data Lineage Platform with Active Tags Feature

Data lineage platform MANTA announced a list of enhancements to its platform that provides customers with deeper visibility into their complex data environments. Among these updates includes an industry-first active tags feature, which allows users to easily highlight any asset in the context of their data pipelines. By attributing fully customized icons to individual nodes, teams working on data privacy and data quality issues will significantly improve collaboration and accelerate issue resolution.

“Organizations are increasingly becoming aware of data quality and privacy issues but cannot see how these issues are affecting their data pipeline,” said Ernie Ostic, SVP of products at MANTA. “Without this context, it’s impossible to know how critical an issue is or what else within the business it might be disrupting. With active tags, users will now be able to flag, identify and draw attention to these issues within the data pipeline, enabling them to better visualize the issues and prioritize which need to be addressed first.”

NICE Sets the Standard for Responsible Design and Deployment of AI-Powered Robots by Unveiling its Robo-Ethical Framework

NICE (Nasdaq: NICE) unveiled a Robo Ethical Framework promoting responsibility and transparency in the design, creation and deployment of AI-powered robots. NICE’s ethical guidelines set the…



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