Amazon and commercial open source in the cloud: It’s complicated
What do the data tell us about the relationship between cloud vendors — specifically, Amazon and commercial open source vendors?
Read More →Neo4j 4.0 adds enterprise Fabric to its graph database
In its new release, Neo4j addresses key concerns for enterprise adoption. Scalability, security, management and architectural changes are here. And so is a strange feeling of deja-vu, too.
Read More →Knowledge graph evolution: Platforms that speak your language
Knowledge graphs are among the most important technologies for the 2020s. Here is how they are evolving, with vendors and standard bodies listening, and platforms becoming fluent in many query languages
Read More →5 technology trends for the roaring 20s, part 2: AI, Knowledge Graphs, infinity and beyond
You don't have to be a fortune teller to identify AI as the key trend for the 2020s. But there is nuance regarding AI hardware and software that deserves to be highlighted.
Read More →Semantics and virtualization, data integration and data governance on the way to the cloud
It's official – data analytics is swiftly moving to the cloud. AtScale is facilitating this, and CEO Chris Lynch shares his insights the hows and whys, in light of the unveiling of AtScale's Adaptive Analytics 2020.1
Read More →DevOps and observability in the 2020s
What do the data tell us on the direction modern software development is going? Cloud, open source, machine learning — it's all here, but blind spots remain.
Read More →Quantum Orchestration Platform: A virtual machine for quantum computing
Startup Quantum Machines unveils what could be a key to accelerating quantum computing adoption, already used in production
Read More →5 technology trends for the roaring 20s, part 1: Blockchain, cloud, open source
Data is changing the paradigm in everything from business to social interactions. Here is what will shape the data landscape for the years to come.
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