Real-time Analytics News Roundup for Week Ending December 7

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:

MemSQL announced the general availability of MemSQL 7.0, a new version of the company’s all-in-one database for operational analytics and AI/ML-powered applications. Available as a managed service in the cloud via MemSQL Helios or self-deployed in cloud, containers or on-premise, MemSQL 7.0 delivers several new advances in database architecture, including “SingleStore,” a new way of managing data; enhanced system of record and resilience features that make MemSQL an even more trusted platform for Tier 1, mission-critical workloads; and time-series data management enhancements

GE Digital unveiled enhancements to its Proficy Historian offering, providing businesses with a scalable solution for data collection and aggregation across deployments of any size and extending data migration from edge to cloud. The updates include tag mapping, advanced trend analysis with annotations, and the ability to define an asset model, allowing users to put data in context with business needs. With the enhancements, GE Digital’s Proficy Historian 8.0 is positioned as a fundamental building block for industrial companies seeking to improve operational performance, increase efficiency, and reduce downtime.

 Senet, Inc., a provider of cloud-based software and services platforms to enable global connectivity and the on-demand network build-out for the Internet of Things (IoT), announced a partnership with Zenseio, an IoT System Integrator specializing in embedded technology and durable, ready-to-use sensors and telemetry devices for the agriculture and industrial markets. Through this technology partnership, Senet has certified the Zenseio LSMP2 – Professional Multi-purpose Telemetry Station, providing the agriculture market with a pre-integrated, network-tested solution designed to modernize how soil conditions, water usage, weather conditions, and other parameters are monitored.

TigerGraph, the provider of a scalable graph database for the enterprise, announced new functionality and performance for TigerGraph Cloud. TigerGraph Cloud, the distributed native graph database-as-a-service, offers an intuitive way to build and run applications that work with highly connected and complex datasets. TigerGraph’s latest distributed system and high availability enhancements help enterprises leverage advanced analytics on graph at scale, which requires larger and more varied dataset combinations, which means more variables and relationships to analyze, explore and test to make machine learning (ML) and artificial intelligence (AI) better.

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