Real-time Analytics News Roundup for Week Ending February 29


In the news this week: The Catholic Church weighs in on AI, a distributed SQL database adds features to improve performance and scaling, 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:

The Pontifical Academy for Life, an influential Vatican institute, along with representatives from the European Union, IBM, and Microsoft are teaming up to drive the ethical development of artificial intelligence. This week, the academy released a document titled Rome Call for AI Ethics, which asks that “the new technology must be researched and produced in accordance with criteria that ensure it truly serves the entire human family, respecting the inherent dignity of each of its members and all natural environments, and taking into account the needs of those who are most vulnerable. The aim is not only to ensure that no one is excluded but also to expand those areas of freedom that could be threatened by algorithmic conditioning.” Microsoft and IBM are the first two signatories of the document.

Yugabyte, provider of open source distributed SQL databases, announced the general availability of YugabyteDB 2.1. New features in this release include two data center (2DC) deployments for reducing write latency, read replicas for reducing read latency, enterprise-grade encryption enhancements, and TPC-C and YCSB benchmarks confirming a 10x increase in performance. These updates make it easier for organizations looking to take advantage of multi-cloud or solve for the geo-distribution of data to use YugabyteDB to develop, deploy, and operationalize their applications with high performance and scale.

Databricks, a provider of unified data analytics, announced an accelerated path for data teams to unify data management, business intelligence (BI), and machine learning (ML) on one platform. The new Data Ingestion Network of partners and Databricks Ingest help enable BI and ML on all a business’s data. The approach makes use of a data management paradigm, lakehouse, which combines the best elements of data lakes and data warehouses. Using this paradigm, businesses can now load data into Delta Lake, the open-source technology for building reliable and fast lakehouses at scale. This is accomplished through the Data Ingestion Network of partners – Fivetran, Qlik, Infoworks, StreamSets, and Syncsort – with built-in integrations to Databricks Ingest for automated data loading.

IBM and, an enterprise AI software provider, announced a global strategic alliance to bring enterprise artificial intelligence (AI) solutions across industries globally. The alliance, which will leverage the IBM Services global delivery network and’s platform, seeks to help fast-track the delivery of enterprise-scale industry and domain-specific AI applications, shorten the time to value, and accelerate the scaling of mission-critical solutions.

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

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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