Real-time Analytics News Roundup for Week Ending February 8

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:

Neo4j, announced the general availability of Neo4j 4.0. The 4.0 release of the Neo4j graph database addresses the broad and complex challenges of application development in the decade to come, including unlimited scalability, intelligent data context, and robust enterprise-grade security. Enterprise organizations are already using Neo4j 4.0 to build intelligent applications that leverage the increasingly dynamic, interconnected nature of data. The 4.0 release of the Neo4j graph database includes sharding and federation, a reactive architecture, deployment flexibility, and granular security.

Incorta, developer of the Unified Data Analytics Platform powered by Direct Data Mapping, announced the latest version of its platform, Incorta 4.6. With this release, Incorta introduces new features, capabilities, and performance enhancements. Specifically, Incorta 4.6—the “cloud data lake release”—enables seamless integration and support for ADLS Gen2 and AWS S3 cloud storage technologies, giving companies a new way to provide data constituents with ready access to data that is currently locked up in cloud data lakes, and bring new data into cloud data lake storage in an open standard file format (Parquet).

Yseop, an AI software company and pioneer in Natural Language Generation (NLG), announced the launch of Augmented Analyst, a new enterprise-wide NLG automated report generation platform. Augmented Analyst relies on a patented NLG engine and extended Natural Language Understanding and Machine Learning capabilities to draw insight from structured data, translating them into clearly written reporting narratives. The new platform currently supports two vertical solutions, Augmented Financial Analyst and Augmented Medical Writer.

InfluxData, creator of the time series database InfluxDB, announced the availability of InfluxDB Cloud on Google Cloud. InfluxDB Cloud on Google Cloud is a serverless, purpose-built time series database-as-a-service with advanced analytics that provide real-time observability into IoT and DevOps workloads. InfluxDB Cloud on Google Cloud makes the time series platform available to developers and businesses, with unified billing, support, and integration with other Google Cloud services, such as BigTable, PubSub, and Stackdriver.

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