Redis Inc. is phasing out RedisGraph. This blog post explains the motivation behind this decision and the implications for existing customers and community members.

While still a bit of an outlier, graph-oriented databases continue to find a role in the modern data stack -- thanks largely to AI.

NebulaGraph v3.5.0 is released, which supports full table scan without index and greatly improves FIND PATH performance.

“📈 More Graph DBs in @LangChainAI Graphs can store structured information in a way embeddings can't capture, and we're excited to support even more of them in LangChain: HugeGraph and SPARQL Not only can you query data, but you can also update graph data (!!!) 🧵”

📢 📢 📢 Amazing milestone! 📢 📢 📢 Neosemantics (n10s) reaches the first million all-time downloads 🤯 Let's keep building Knowledge Graphs together! 💪… | 21 comments on LinkedIn

Aerospike is expanding its database capabilities with its Aerospike Graph database, which brings graph data model capabilities.

Change & Risk Require New Enterprise Tools As AI systems, bots (both digital and physical), AI leveraged smart digital identities, and IoT devices invade your enterprise, it increases the pace of change and risk. This brief article focuses on why you should be deploying TODA, EMS and graphs in your

SAN FRANCISCO, May 30, 2023 -- ArangoDB, the company behind the most complete graph data and analytics platform, today announced the GA release of

Ontotext receives growth funding to strengthen its leadership in the knowledge graph market and develop end-to-end vertical offerings.

The Graph Database Market size is driven by the increasing use of graph database tools and services based on artificial intelligence (AI) and the rising...

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May 16, 2023 – GQL Status Update In February, 2023, the GQL standards committee (ISO/IEC JTC1 SC32 WG3) had a week-long meeting in Zeist, Netherlands, where we reviewed and accepted papers that completed the resolution of all of the GQL CD2 comments. The editors applied the papers, the authors

The global graph database market size is projected to grow at a compound annual growth rate (CAGR) of 22.5% to reach USD 5.1 billion in the upcoming five years. The market value was USD 1.9 billion in 2021.

Unlock Neo4j's power with Process Tempo by connecting non-technical users to graph data insights at scale

“Interesting rdf / graph darabase effort, do take a look /cc @wikidata”

Stardog was predicated on a long-term bet that data management and knowledge management were on a collision course, set out by Google, and that Knowledge Graph was the intersection point. From 2023’s perspective, it looks like our long-term bet was correct.

The newest version of the LangChain library contains a Cypher Search module that allows you to query Neo4j using natural language. Very cool! | 15 comments on LinkedIn

One of the challenges for any Big Data solution is dealing with scale, and RDF stores are no exception: going for billions of RDF triples (the equivalent

Graph technology is well on its way from a fringe domain to going mainstream. We take a look at the state of the union in graph, featuring Neo4j's latest release and insights as well as data and opinions from Cloudera, DataStax, and IBM.

RDF is a graph data model you've probably either never heard of, or already dismissed. Why is that, could there be value in it, and how does it differ from the most popular graph data model out there?

DataStax Enterprise just released version 6.0, a major upgrade. We take an insider tour with Jonathan Lacefield, Senior Director of Product Management

It's official: AWS has a production-ready graph database. What features are included today, and what will be included in the near future, what use cases are targeted, and what does AWS Neptune's release mean for users and graph database vendors?

Having an entry path, as well as a strong community, is important for any solution, and graph databases are no different. Following latest developments in

GraphQL is a query language mostly used to streamline access to REST APIs. Now, a new breed of GraphQL implementations wants to build an abstraction layer for any database on top of GraphQL, and it seems to be catching up.

What exactly are knowledge graphs, and what's with all the hype about them? Learning to tell apart hype from reality, defining different types of graphs, and picking the right tools and database for your use case is essential if you want to be like the Airbnbs, Amazons, Googles, and LinkedIns of the world.

AWS, Google, Neo4j, Oracle. These were just some of the vendors represented in the W3C workshop on web standardization for graph data, and what transcribed is bound to boost adoption of the hottest segment in data management: Graph.

Fifty years after the moon landing, it's not just NASA working on what many consider the final frontier for humanity: space travel. NASA, however, is special, and one of the reasons is that data is at the heart of what it does.

Imagine a graph database that's not aimed at the growing graph database market, selling to Fortune 500 without sales, and claiming to be the fastest without benchmarks. Dgraph is unique in some interesting ways.

Graph databases have been the hottest area of data management for a while now. Today, this landscape shifts once again in the last few months.