Neo4j partners with Microsoft, unfolds strategy to power Generative AI applications with cloud platforms and Graph RAG
From better together to full native integration, Neo4j is creating an ecosystem around all major cloud platforms to enable provide graph-powered features for Generative AI and beyond. Here’s how this aligns with cloud platform AI strategies and what’s next. Hint: Databricks and Snowflake. By George Anadiotis For many organizations today, data management comes down to handing […]
Read More →Amazon Neptune introduces a new Analytics engine and the One Graph vision
Amazon Neptune, the managed graph database service by AWS, makes analytics faster and more agile while introducing a vision aiming to simplify graph databases. By George Anadiotis It’s not every day that you hear product leads questioning the utility of their own products. Brad Bebee, the general manager of Amazon Neptune, was all serious when he […]
Read More →Aerospike Graph: A new entry in the graph database market, aiming to tackle complex problems at scale
“Graph database growth is going strong through the Trough of Disillusionment.” And “Graph Analytics go big and real-time.” These were two of the headlines of the Spring 2023 update of the Year of the Graph newsletter. In combination, they seem like an appropriate summary of the reasoning behind a new entry in the graph database […]
Read More →Neo4j’s roadmap in 2023: Cloud, Graph Data Science, Large Language Models and Knowledge Graphs
Neo4j recently announced new product features in collaboration with Google, as well as a new Chief Product Officer coming from Google: Sudhir Hasbe. We caught up to discuss what the future holds for Neo4j as well as the broader graph database space. Sudhir Hasbe began his career as an engineer, but quickly transitioned into product […]
Read More →Graph database market maintains momentum, new Neo4j 5 offers cloud and on-premises ease of use and parity
Graph platform Neo4j today announced the general availability of Neo4j 5, the latest version of its cloud-ready graph database. Neo4j is following up on its achievements in 2021, which include surpassing $100 million in annual recurring revenue, closing a $325M series F financing round at over $2B valuation, which it calls “the largest funding round in database history,” and launching a free tier of its fully managed cloud service.
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 →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
Read More →Up and to the right: TigerGraph scores $105M Series C funding, the Graph market is growing
The largest funding round to date in the graph market is good news not just for TigerGraph, but for the market at large
Read More →From data to knowledge and AI via graphs: Technology to support a knowledge-based economy
In the new knowledge-based digital world, encoding and making use of business and operational knowledge is the key to making progress and staying competitive. Here's a shortlist of technologies and processes that can support this transition, and what they are about.
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