Real-time Analytics News Roundup for Week Ending November 14


IBM updates its Cloud Pak portfolio, Dell Technologies offers integrated HPC systems to accelerate AI in manufacturing and genomic research, and more.

Keeping pace with news and developments in the real-time analytics market can be a daunting task. We want to help by providing a summary of some of the items our staff came across each week. Here is a short list of some news from this week:

IBM announced a series of data and automation updates to its hybrid cloud software portfolio to help companies drive innovation and accelerate their digital transformations. The new updates are coming to IBM Cloud Pak for Data and Cloud Pak for Automation, which offer integrated data and AI capabilities that run on Red Hat OpenShift and are designed to better manage and automate data-intensive processes – fusing the intelligence of Watson AI in hybrid cloud environments.

New features to Cloud Pak for Data coming this month include:

  • New Industry Accelerators will be added to Cloud Pak for Data, including accelerators for banking, warranty management, supply chain forecasting, and retail.
  • Watson Machine Learning Accelerator (WML-A) is a new deep learning service capability to optimize training models and monitor workloads. Also added to Cloud Pak for Data is a new feature called Federated Learning that enables users to train common models using remote, secure data sets. Also new with the platform is an updated version of Auto AI that now supports multiple data sources for training.
  • Quick Scan has been enhanced to perform more scalable automatic data discovery to support deeper analytics and generate more insightful outcomes.

 New features to Cloud Pak for Automation include:

  • Automation Document Processing is designed to help enterprises eliminate manual document processing and enable people to focus on higher-value work. Available now, the new tool combines AI with deep learning and low-code tooling, making it quick and easy to accurately design, configure, and deploy document classification and extraction for any document type and format.
  • Process Mining capabilities from myInvenio (Cognitive Technology) provides a data-driven way to help identify the most impactful areas of business and IT to automate. Available in December, features including simulation, business rules, multi-level process, and task mining will be integrated into IBM Cloud Pak for Automation.
  • Robotic Process Automation (RPA) capabilities from IBM’s acquisition of WDG Automation are now integrated and available in Cloud Pak for Automation. The RPA capabilities enable businesses to quickly identify more granular opportunities for automation, including tasks that have many steps.

Dell Technologies announces new Dell EMC Ready Solutions and high-performance computing (HPC) cloud service provider collaborations to accelerate AI and advanced computing innovation in healthcare, life sciences, and manufacturing. The offerings include:

  • The new Dell EMC Ready Solution for HPC Genomics to help companies get systems for genomic analysis into production quickly and economically.
  • The Dell EMC Ready Solution for Digital Manufacturing, with Altair Hyperworks Unlimited appliances, combines Dell Technologies server, storage, and networking with Altair’s simulation applications and HPC middleware.
  • Dell EMC Ready Solutions with Bright Computing’s Bright Cluster Manager help automate the process of building and managing modern high-performance clusters. Bright’s latest release now includes integration with VMware for virtualization, containers, and multi-cloud management.

Confluent, Inc. announced the initial release of Proactive Support for Confluent Platform, which is a cloud service that intelligently identifies potential issues in Apache Kafka environments before they occur, leading to faster resolution times. As a part of Project Metamorphosis – Reliable, Confluent aims to help any company make event streaming a pervasive part of their business without needing to make massive resource investments to keep Kafka running at peak performance. Proactive Support provides continuous, real-time analysis of cluster metadata and alerts organizations of potential issues. It also provides support engineers with key performance and health metrics to better understand their environments and identify the root cause of problems earlier. It is built on Confluent’s deep understanding of Kafka that is rooted in experience managing thousands of clusters in Confluent Cloud.

Yugabyte announced the general availability of YugabyteDB 2.5 with major enhancements to multi-region deployments, enterprise-grade security features, and performance improvements. The latest version builds on Yugabyte’s mission to provide the default distributed SQL database for cloud-native applications in a multicloud world. Key features of YugabyteDB 2.5 include enhanced multi-region capabilities with geo-partitioning and follower reads, enterprise-grade security features, simplified cluster administration, and 10x better performance in TPC-C benchmarks.

InfluxData, the developer of the time series database InfluxDB, announced the general availability of the next-generation open-source platform for time series data, InfluxDB 2.0. Developers can now ingest, query, store and visualize time series data in a single unified platform, leverage new tools, and integrations, and use familiar skills. The InfluxDB 2.0 solution is a time series platform for building IoT, analytics, and monitoring applications powered by time-series data. New features in InfluxDB 2.0 are designed to reduce the amount of time developers spend writing code to get started and manage existing projects, including Flux, InfluxDB templates, edge functionality, and client libraries. In addition, the company announced a new open source project to reimagine storage.

Hitachi Vantara announced an expanded Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to offer Lumada industrial solutions on the AWS cloud platform. Hitachi’s Lumada solutions detect, collect, and organize data, then run sophisticated data analytics for customers in manufacturing, transportation, and energy that manage industrial operations such as plant floors, power networks, train systems, and mining sites. Through the partnership, Hitachi Vantara and AWS will expand the portfolio of Lumada digital solutions available to customers on AWS and will develop new Internet of Things (IoT) applications. The SCA combines Hitachi Vantara’s deep expertise in operational technology (OT) and IT, and its industrial software application portfolio, with the broad and deep IoT functionality from AWS, spanning from the edge to the cloud.

TriggerMesh announced the general availability of its production-ready integration and automation platform, TriggerMesh Cloud Native Integration Platform 1.0. The platform allows users to integrate services, automate workflows, and accelerate the movement of information and the digital transformation of an organization. TriggerMesh Cloud Native Integration Platform is offered in two options, self-administered on Kubernetes or as a fully managed service on TriggerMesh Cloud. TriggerMesh Cloud Native Integration Platform 1.0 features include declarative API; event transformation to forward events from one format to another, including events that adhere to the CNCF CloudEvents 1.0 specification; and new bridges to automate infrastructure and bridge workflows between Salesforce, OracleDB, Zendesk, Datadog, Oracle Cloud Security Logs, Splunk, Datadog, and many more.

Iceotope has partnered with Lenovo to take high-performance computing to the edge. This builds on the existing Iceotope, Avnet, and Schneider Electric partnership to jointly develop chassis-level immersion-cooled data center solutions. Iceotope’s new Ku:l Micro DC solution enables many industry-standard servers to be liquid-cooled and deployed outside the data center. Through the partnership, Lenovo will deploy its ThinkSystem SR670 servers in a highly scalable, GPU-rich, liquid-cooled Micro Data Centre solution. Sealed at chassis level, the new solution enables Artificial Intelligence (AI), Machine Learning (ML), and High-Performance Computing (HPC) workloads to be deployed in close proximity to the location of data generation and use regardless of how harsh or hostile the environment.

Databricks announced the launch of SQL Analytics, which for the first time, enables data analysts to perform workloads previously meant only for a data warehouse on a data lake. This expands the traditional scope of the data lake from data science and machine learning to include all data workloads, including business intelligence (BI) and SQL. Now, organizations can empower data teams across data engineering, data science, and data analytics to work on a single source of truth for data. SQL Analytics realizes Databricks’ vision for a lakehouse architecture that combines data warehousing performance with data lake economics, resulting in up to 9x better price/performance than traditional cloud data warehouses.

Qlik announced an expansion of its strategic partnership with Databricks through Qlik’s integration with the newly launched SQL Analytics capability. The integration is part of an expanded partnership that already includes integration with Qlik’s data integration platform. Databricks customers can now leverage the full capabilities of Qlik’s end-to-end data integration and analytics platform with Databricks’ Lakehouse architecture to increase the use and value of all the data residing in their data lake. With the integration with SQL Analytics, Qlik uniquely provides customers the ability to both optimize the data ingestion process feeding data into Lakehouse, as well as leverage Qlik Sense’s modern approach to analytics to create value through insights from data in Databricks. The new integration also enables Qlik Sense to deliver a powerful and improved customer experience for SQL users with optimized data access through a familiar interface in Databricks. Together, Qlik and Databricks can now deliver a fully automated data lake pipeline, with governed, trusted, and near-real-time data that is optimized for analytics.

Yellowbrick Data announced that it has partnered with Catalina to solve a range of data and analytics challenges. Catalina combines the richest buyer-history database in the world with its own deep analytics and insights to help retailers, CPG brands, and agencies optimize media planning, execution, and measurement. The company focuses on the science behind every purchase and the unique qualities of the buyers behind the data. To uncover those insights, the company must ingest terabytes of data, process and transform it, and then consume and analyze the results to help customers mobilize meaningful, real-time engagement and results. With Yellowbrick, Catalina has experienced 182x better query performance and data load speeds of up to 10TB/hour, among other tangible benefits.

If your company has real-time analytics news, send your announcements to [email protected].

In case you missed it, here are our most recent previous weekly real-time analytics news roundups:

Salvatore Salamone

About Salvatore Salamone

Salvatore Salamone is a physicist by training who has been writing about science and information technology for more than 30 years. During that time, he has been a senior or executive editor at many industry-leading publications including High Technology, Network World, Byte Magazine, Data Communications, LAN Times, InternetWeek, Bio-IT World, and Lightwave, The Journal of Fiber Optics. He also is the author of three business technology books.

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