Cloud, microservices, and data mess? Graph, ontology, and application fabric to the rescue.
Knowledge graphs are probably the best technology we have for data integration. But what about application integration? Knowledge graphs can help there, too, argues EnterpriseWeb.
Read More →Apollo GraphQL announces $130 Million Series D Funding, wants to define its own category
GraphQL is a specification that came at just the right time to address an age-old issue in software engineering: service integration. Apollo's implementation is seeing lots of traction, and it just got more gas in the tank for its grand vision that goes well beyond integration
Read More →Amazon Neptune update: Machine learning, data science, and the future of graph databases
Amazon Neptune just added another query language, openCypher, to its arsenal. That may not sound like a big deal in and of itself, but coupled with updates in machine learning and data science features, it points towards the future of graph databases.
Read More →The biggest investment in database history, the biggest social network ever, and other graph stories from Neo4j
A $325 million Series F funding round, bringing Neo4j's valuation to over $2 billion. A social network of 3 billion people, distributed across 1000 servers. The latter is a demo; the former is not. But both are real signs that the graph market and Neo4j are getting huge.
Read More →Graphs as a foundational technology stack: Analytics, AI, and hardware
How would you feel if you saw demand for your favorite topic — which also happens to be your line of business — grow 1,000% in just two years’ time? Vindicated, overjoyed, and a bit overstretched in trying to keep up with demand, probably.
Read More →Graph-based data science, machine learning and AI. The Year of the Graph Newsletter Vol. 23, Spring 2021
What does graph have to do with machine learning, and data science? A lot, actually, and it goes both ways. Over the last few years, we have seen what was once a niche research topic – graph-based machine learning – snowball. The Year of the Graph was among the first to take stock, point towards […]
Read More →Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL
Google uses machine learning and graphs to deliver search results. Most search engines do not. Weaviate wants to change that.
Read More →Databases, graphs, and GraphQL: The past, present, and future
GraphQL was never conceived as a query language for databases. Yet, it's increasingly being used for this purpose. Here's why, and how.
Read More →Data, analytics, machine learning, and AI in healthcare in 2021
What do you get when you juxtapose two of the hottest domains today – AI and healthcare? A peek into the future, potentially.
Read More →Cutting-edge Katana Graph scores $28.5 million Series A Led by Intel Capital
Here's why and how a startup founded by a duo of researchers some months back is attracting big enterprise clients and serious funding
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