Real-time Analytics News Roundup for Week Ending March 21

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:

TigerGraph, a scalable graph database for the enterprise, unveiled TigerGraph 3.0, which delivers the power of scalable graph database and analytics to everyone — including non-technical users. TigerGraph 3.0 makes no code advanced graph analytics easy while delivering core platform capabilities:

• No Code Migration from Relational DB unlocks the potential in relational data stores (DB instances, data warehouses, data marts) by providing a no-code way to convert schema and load data to a graph.
• No Code Graph Analytics with Visual Query Builder allows non-technical users to produce and run graph queries by drawing the patterns they want, similar to visual data modeling.
• Easier and Faster deployment in Minutes across Distributed Environments, to support the growing use of graph deployments around the globe that use bigger datasets for analysis.
• User-Defined Indexing lets users speed up the database performance for specific queries.

ClosedLoop.ai, the developer of a healthcare data science platform, announced the release of the COVID-19 Vulnerability Index (CV19 Index) — a free, open-source tool designed to help healthcare organizations identify and protect individuals that are most vulnerable to COVID-19. The CV19 Index identifies people likely to have a heightened vulnerability to severe complications from COVID-19. Because data on COVID-19 cases is not readily available, the CV19 Index was developed using similar proxy events (e.g., pneumonia, influenza) and calculates vulnerability in terms of a person’s near-term risk of severe complications from respiratory infections. By releasing the CV19 Index as free and open-source, ClosedLoop aims to distribute this tool as widely and quickly as possible while leveraging the collective knowledge and experience of the open-source community to quickly improve the Index.  

Databricks announced new features within its platform that provide deeper security controls, proactive administration, and automation across the data and ML lifecycle. New features within the Databricks platform further enhance cloud-native security, simple and proactive administration, and automation at scale. Additionally, using an API-driven approach, Databricks enables customers to put analytics and ML rapidly into production with CI/CD (Continuous integration and continuous delivery).

Verta.ai, the provider of Verta Enterprise, an open-core end-to-end MLOps platform, announced the launch of ModelDB 2.0, an open-source model versioning system to make machine learning (ML) development and deployment reliable, safe, and reproducible. ModelDB 2.0 reconsiders what a model versioning system should provide and how it should be built. Using the best-in-class constructs from code versioning systems like Git and adapting them to the special requirements for reproducing ML models, Verta’s ModelDB 2.0 allows for complete governance, audits, version control, and collaboration on ML models.

Eventador.io, provider of the streaming data engine for building applications, unveiled the Eventador Platform version 2.0, the first end-to-end, produce-to-consume stream processing platform that gives companies the ability to quickly and easily build applications from the firehose of streaming data. With Eventador, data science, developer, and data engineering teams can unlock new value and power from data streams in their models, applications, and ETL flows.

SoftIron Ltd., provider of purpose-built and performance-optimized data center appliances, announced the availability of the HyperSwitch, its next-generation top-of-rack switch built to maximize the performance and flexibility of SONiC (Software for Open Networking in the Cloud), an open source network operating system built by Microsoft for scale-out performance networking. The HyperSwitch family includes three models, each optimized for hyperscale data center performance with simplified core networking functionality, and wire-speed on all ports at all times with uncompromising performance.

Global mining expert Emily King announced the launch of Prospector, a new company using technology to increase access, information, and capital in the mining industry. Prospector’s Software as a Service (SaaS) platform relies on artificial intelligence (AI) to streamline and simplify highly technical information that is publicly available to investors but extremely cumbersome to access and analyze. A key feature of Prospector is the automated search and analysis of technical information found in NI 43-101 reports, a national instrument for the Standards of Disclosure for Mineral Projects within Canada that are required of mineral exploration and mining companies listed on both the Toronto Stock Exchange (TSX) and Toronto Venture Exchange (TSX-V).  Disclosures covered by the 43-101 code include mineral exploration progress, reporting of resources and reserves, and more. NI 43-101 reports average 500 pages long and can reach 1000 pages, making investment analysis extremely cumbersome and time-sensitive.

DeepCode, the platform for AI-powered code reviews, launched support for C/C++. DeepCode brings the knowledge of the global development community to every software developer. The bot uses machine learning to process hundreds of millions of commits in open source software projects and learns how to find serious coding issues. It identifies bugs before they happen so developers can fulfill their true coding potential and deliver quality products faster. Because the platform determines the intent of the code—and not only the syntax mistakes—DeepCode identifies 10x more critical bugs and security vulnerabilities than other tools. 

If your company has real-time analytics news, send your announcements to ssalamone@rtinsights.com.