Resources

Working with, and keeping an eye on, all things Graph since the early 2000s.

Here is a collection of resources, categorized per area. To be always in the know:

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Graph AI

	Apple, Alibaba, Amazon, and the gang promote state of the art in AI and Knowledge Discovery with Graphs August 29, 2019 1:07 pm In one of the biggest AI events in the world, over 3,000 experts from research and industry showcased and discussed their latest work. Advances in machine learning are happening across the board, and integrating knowledge-based systems with graph-based deep learning promises breakthroughs.		The state of AI in 2019: Breakthroughs in machine learning, natural language processing, games, and knowledge graphs July 8, 2019 11:48 am A tour de force on progress in AI, by some of the world's leading experts and venture capitalists.
	Salesforce Research: Knowledge graphs and machine learning to power Einstein March 18, 2019 11:24 am Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state of the art in natural language processing is done on the intersection of graphs and machine learning.

Graph Analytics

	Nvidia Rapids cuGraph: Making graph analysis ubiquitous August 21, 2019 11:43 am A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs.		The Graph: An open-source query protocol for blockchains, using GraphQL June 11, 2019 11:36 am Querying blockchains is hard, but it does not have to be. This is the vision driving The Graph.
	Salesforce Research: Knowledge graphs and machine learning to power Einstein March 18, 2019 11:24 am Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state of the art in natural language processing is done on the intersection of graphs and machine learning.		2019 will be another ‘Year of the Graph’: OpenCorporates is evidence No. 1 February 13, 2019 11:29 am Graph databases are crossing the chasm to mainstream use cases, adding features such as machine learning to their arsenal and becoming more cloud and developer friendly. Last year was a breakout year, and graph database growth and evolution is well under way in 2019.
	NBA analytics and RDF graphs: Game, data, and metadata evolution, and Occam’s razor June 7, 2018 10:40 am Three-point shooting, Steph Curry, and coming up with stories. If you feel like doing your own analysis to investigate hypotheses or discover insights at any level, RDF graph's got your back. Case in point: The NBA.		Back to the future: Does graph database success hang on query language? May 5, 2018 10:26 am If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.
	From graph to the world: pioneering a database virtual machine January 22, 2018 10:31 am What are the options for querying graphs, and how do we go from that to the equivalent of a virtual machine for databases?		Sparkier, faster, more: Graph databases, and Neo4j, are moving on October 24, 2017 10:17 am New players, new features, platforms, and ticking boxes. Let's talk graph with Neo4j.
	Semantic data lake architecture in healthcare and beyond August 21, 2017 9:26 am Data lakes can be a great asset, but they need an array of elements to work properly. We take a look at how it works for Montefiore Health System and discuss the role of semantics and graph databases in the data lake architecture.

Graph Databases

	The Year of the Graph Database Report: do you really need a graph database? How do you choose one? Slideshare Presentation November 14, 2018 3:41 pm I’ve done the hard work of evaluating solutions, so you don’t have to. Slideshare presentation		The Year of the Graph Database Report: do you really need a graph database? How do you choose one? Big Data Spain talk November 14, 2018 3:39 pm I’ve done the hard work of evaluating solutions, so you don’t have to. Session presented at Big Data Spain 2018 Conference 14th Nov 2018 Kinépolis Madrid
	Neo4j 4.0 adds enterprise Fabric to its graph database February 4, 2020 6:00 pm 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.		Knowledge graph evolution: Platforms that speak your language January 30, 2020 6:00 pm 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
	Want to discover the knowledge graphs in your enterprise data? Siren just secured $10 Million to help do that November 14, 2019 11:59 am Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure		Graph for the mass market: Neo4j launches Aura on Google Cloud November 7, 2019 11:52 am Neo4j just launched its cloud offering, which it says will make graph mainstream. We discuss the offering with CEO Emil Eifrem, and take a look at where the graph market is right now.
	Redis Labs goes Google Cloud, Graph, and other interesting places October 24, 2019 11:54 am Redis becomes available on Google Cloud Platform today, and we take the opportunity to explore its graph-shaped future, its community, and its licensing issues.		Graph databases advance: TigerGraph announces $32 Million Series B Funding plus cloud-based platform September 25, 2019 11:56 am 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.
	Nvidia Rapids cuGraph: Making graph analysis ubiquitous August 21, 2019 11:43 am A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs.		Graph database reinvented: Dgraph secures $11.5M to pursue its unique and opinionated path July 31, 2019 1:39 pm 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.
	Advancing human exploration: Is space the final frontier, and how can data and AI get us there? July 15, 2019 11:46 am 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.		Graph data standardization: It’s just a graph, making gravitational waves in the real world March 8, 2019 11:27 am 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.
	2019 will be another ‘Year of the Graph’: OpenCorporates is evidence No. 1 February 13, 2019 11:29 am Graph databases are crossing the chasm to mainstream use cases, adding features such as machine learning to their arsenal and becoming more cloud and developer friendly. Last year was a breakout year, and graph database growth and evolution is well under way in 2019.		Knowledge graphs beyond the hype: Getting knowledge in and out of graphs and databases September 19, 2018 11:08 am 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.
	GraphQL for databases: A layer for universal database access? June 19, 2018 10:55 am 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.		Open or closed? On graph database access, query languages, community building, and TigerGraph June 11, 2018 9:55 am 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 graph query languages, TigerGraph is changing its strategy. How will this affect the domain?
	AWS Neptune going GA: The good, the bad, and the ugly for graph database users and vendors May 31, 2018 10:42 am 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?		DataStax Enterprise Graph 6.0: what’s new, and what’s coming? May 8, 2018 9:54 am DataStax Enterprise just released version 6.0, a major upgrade. We take an insider tour with Jonathan Lacefield, Senior Director of Product Management with DataStax, focusing on DSE Graph.
	Back to the future: Does graph database success hang on query language? May 5, 2018 10:26 am If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.		From graph to the world: pioneering a database virtual machine January 22, 2018 10:31 am What are the options for querying graphs, and how do we go from that to the equivalent of a virtual machine for databases?
	The year of the graph: Getting graphic, going native, reshaping the landscape January 8, 2018 10:30 am The year of the graph is here. Do you really need a graph database, and, if yes, how do you choose one?		Sparkier, faster, more: Graph databases, and Neo4j, are moving on October 24, 2017 10:17 am New players, new features, platforms, and ticking boxes. Let's talk graph with Neo4j.
	TigerGraph, a graph database born to roar September 19, 2017 9:56 am Imagine your database of choice blown out of the water by a startup emerging from stealth. TigerGraph may have done just that for graph databases.		Semantic data lake architecture in healthcare and beyond August 21, 2017 9:26 am Data lakes can be a great asset, but they need an array of elements to work properly. We take a look at how it works for Montefiore Health System and discuss the role of semantics and graph databases in the data lake architecture.
	Graph databases and RDF: It’s a family affair May 19, 2017 9:22 am 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?		The continuing rise of graph databases May 15, 2017 9:21 am 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 on Hadoop and Schema on Read vs. Schema on Write September 8, 2014 9:47 am 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 of rows in the SQL world) is not trivial.		SPARQL City and Benchmarks September 1, 2014 9:44 am We have written in the past about SPARQL, Hadoop and benchmarks. In this post, we take a look at a company that combines all of these subjects, SPARQL City

Knowledge Graphs

	Knowledge graph evolution: Platforms that speak your language January 30, 2020 6:00 pm 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		5 technology trends for the roaring 20s, part 2: AI, Knowledge Graphs, infinity and beyond January 16, 2020 12:02 pm 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.
	K is for Knowledge: Application and data integration for better business, using metadata and knowledge graphs December 17, 2019 12:00 pm Being disrupted by Big Tech is one of the greatest concerns for any business. Good news: There may be a path to accelerate digital transformation and out-compete Big Tech, by leveraging domain knowledge.		Want to discover the knowledge graphs in your enterprise data? Siren just secured $10 Million to help do that November 14, 2019 11:59 am Siren promises the benefits of knowledge graphs, without the hassle of reinventing your existing data management and infrastructure
	Apple, Alibaba, Amazon, and the gang promote state of the art in AI and Knowledge Discovery with Graphs August 29, 2019 1:07 pm In one of the biggest AI events in the world, over 3,000 experts from research and industry showcased and discussed their latest work. Advances in machine learning are happening across the board, and integrating knowledge-based systems with graph-based deep learning promises breakthroughs.		The state of AI in 2019: Breakthroughs in machine learning, natural language processing, games, and knowledge graphs July 8, 2019 11:48 am A tour de force on progress in AI, by some of the world's leading experts and venture capitalists.
	Data.world joins forces with Capsenta to bring knowledge graph-based data management to the enterprise June 19, 2019 11:34 am Data.world has been expanding its footprint in the enterprise. The acqui-hiring of Capsenta complements its portfolio with knowledge graph virtualization to connect data in the cloud and on premise, and a UI to build knowledge graphs		Breaking up Facebook? Try data literacy, social engineering, personal knowledge graphs, and developer advocacy May 16, 2019 11:39 am Yes, Facebook is a data-driven monopoly. But the only real way to break it up is by getting hold of its data and functionality, one piece at a time. It will take a combination of tech, data, and social engineering to get there. And graphs -- personal knowledge graphs.
	Salesforce Research: Knowledge graphs and machine learning to power Einstein March 18, 2019 11:24 am Explainable AI in real life could mean Einstein not just answering your questions, but also providing justification. Advancing the state of the art in natural language processing is done on the intersection of graphs and machine learning.		Knowledge graphs beyond the hype: Getting knowledge in and out of graphs and databases September 19, 2018 11:08 am 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.
	Google can now search for datasets. First research, then the world? September 5, 2018 10:59 am Did you ever need data on a topic you wanted to research, and had a hard time finding it? Wish you could just Google it? Well, now you can do that.		The web as a database: The biggest knowledge graph ever August 30, 2018 11:03 am Imagine you could get the entire web in a database, and structure it. Then you would be able to get answers to complex questions in seconds by querying, rather than searching. This is what Diffbot promises.
	GraphQL for databases: A layer for universal database access? June 19, 2018 10:55 am 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.		NBA analytics and RDF graphs: Game, data, and metadata evolution, and Occam’s razor June 7, 2018 10:40 am Three-point shooting, Steph Curry, and coming up with stories. If you feel like doing your own analysis to investigate hypotheses or discover insights at any level, RDF graph's got your back. Case in point: The NBA.
	Data.world: The importance of linking data and people March 6, 2018 10:37 am Notepads, graphs, data lakes, collaboration, and data manifestos. Data.world has an interesting blend of philosophy and technology going on -- and it all converges around one thing: Facilitating data-driven analysis by making it a team sport.		The Reskilling Revolution: Taking control of skills with Open Badges February 2, 2018 10:35 am In a rapidly shifting job market, being able to formalize skills is a requirement for job seekers and employers going forward. Open Badges is a data specification that may be able to help do that.
	Semantic data lake architecture in healthcare and beyond August 21, 2017 9:26 am Data lakes can be a great asset, but they need an array of elements to work properly. We take a look at how it works for Montefiore Health System and discuss the role of semantics and graph databases in the data lake architecture.		Mix and match analytics: data, metadata, and machine learning for the win January 20, 2017 9:18 am Creating winning analytics solutions means combining and making the most of different approaches and techniques. Taking a look at how Google does this for YouTube can provide inspiration and set a framework for analytics solutions.
	I got 99 data stores and integrating them ain’t fun September 22, 2016 9:14 am Data integration may not sound as deliciously intriguing as AI or machine learning tidbits sprinkled on vanilla apps. Still, it is the bread and butter of many, the enabler of all things cool using data, and a premium use case for concepts underpinning AI.		What IBM, the Semantic Web Company, and Siemens are doing with semantic technologies September 15, 2016 9:12 am Defining semantics is a matter of semantics, not less so in the Big Data space
	RDF on Hadoop and Schema on Read vs. Schema on Write September 8, 2014 9:47 am 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 of rows in the SQL world) is not trivial.		On APIs, JSON, Linked Data, attitude and opportunities March 4, 2014 9:43 am When it comes to using JSON with URIs, and adding semantics, do we have to reinvent the wheel?
	Data modeling for APIs. Part 4: Linked Data and SPARQL February 24, 2014 9:39 am In the 4th part of this series of posts we look at a different way of data modeling for APIs, one that is based on Linked Data standards.

	Graphs in the 2020s: Databases, Platforms, and the evolution of Knowledge. The Year of the Graph Newsletter, February / January 2020 February 4, 2020 5:59 pm Graphs, and knowledge graphs, are key concepts and technologies for the 2020s. What will they look like, and what will they enable going forward?		The O word: do you really need an ontology? The Year of the Graph Newsletter: November / October 2019 November 12, 2019 8:44 am How do you manage your enterprise data in order to keep track of it and be able to build and operate useful applications? This is key question all data managements systems are trying to address, and knowledge graphs, graph databases and graph analytics are no different.
	Graph Algorithms, Neural Networks, and Graph Databases. The Year of the Graph Newsletter, September 2019 September 10, 2019 8:37 am One of the world’s top AI venues shows that using graphs to enhance machine learning, and vice versa, is what many sophisticated organizations are doing today. New developments in graph algorithms and analytics, and the latest graph database releases, many of which incorporate graph algorithms and machine learning features.		Knowledge Graphs and Natural Language Processing. The Year of the Graph Newsletter, July/August 2019 August 12, 2019 8:36 am Pinterest gets with the knowledge graph program. Facebook releases a new dataset for conversational Reasoning over Knowledge Graphs. Connected Data London announces its own program, rich in leaders and innovators. And as always, new knowledge graph and graph database releases, research, use cases, and definitions.
	Graph explosion and consolidation. The Year of the Graph Newsletter, June 2019 June 24, 2019 8:35 am While the “wild, early days” of knowledge graph technology are gone, the 20 year anniversary of the Semantic Web is a good opportunity to reflect on what worked and what didn’t, and to move forward in a pragmatic way.		Knowledge Graphs are the new Black. The Year of the Graph Newsletter, May 2019 May 17, 2019 8:19 am Knowledge graphs become a centerpiece of Accenture and Microsoft’s toolkits. Knowledge graph lessons from Google, Facebook, eBay, IBM. Graph algorithms and analytics by Neo4j and Nvidia. Connected Data London and JSON-LD goodness, tips and tools for building and visualizing knowledge graphs, using graphs with Elixir and Typescript, and Geometric Deep Learning for a 3D world, using graphs.
	Graphs in the cloud. The Year of the Graph Newsletter: April 2019 April 15, 2019 8:18 am The first signs of convergence in the graph space is here. Graph databases continue to grow, expand, and make their way to the cloud, a number of open source frameworks for working with graphs has been released, and a slew of new interesting use cases.		A gravitational wave moment for graph. The Year of the Graph Newsletter: March 2019 March 14, 2019 8:17 am A gravitational wave moment for the graph community in the W3C Workshop on Web Standardization for Graph Data. Gartner includes Graph as Trend #5 in its Top 10 Data and Analytics Technology Trend for 2019. And graphs continuing to make waves in the real world in every possible way.
	Knowledge graphs, AI, and interoperability. The Year of the Graph Newsletter: February 2019 February 3, 2019 8:16 am Knowledge graphs are spreading everywhere: from Airbnb and eBay to Alexa, and from using JSON-LD on the web for better SEO to leveraging taxonomy to define AI. Combining knowledge graphs and machine learning, benchmarking graph databases, and W3C initiative for interoperability shaping up.		In Between Years. The Year of the Graph Newsletter: January 2019 January 14, 2019 8:15 am 2019 trends and predictions, new releases, visualization, machine learning, benchmarks, GraphQL, SPARQL, Linked Data,Tinkerpop
	More graph databases. The Year of the Graph Newsletter: December 2018 December 3, 2018 8:08 am Redis announces RedisGraph and a benchmark, TigerGraph goes AWS, AWS hands-on experiences, new features from Stardog and AnzoGraph, Graphs and Machine Learning, GraphQL, Atlas, DBpedia, Connected Data London and the Year of the Graph.		Graph gets funding. The Year of the Graph Newsletter: November 2018 November 4, 2018 8:07 am Neo4j lands a massive funding round, Tinkerpop is moving forward, the most important knowledge graph research event with key industry presence, W3C organizing a Workshop on Web Standardization for Graph Data, and new knowledge graphs and tools are out.
	Getting knowledge graph semantics and definitions right. The Year of the Graph Newsletter: October 2018 October 1, 2018 8:06 am Getting knowledge graph semantics and definitions right, semantic web standards used in the real world, by Google no less, and ArangoDB, Azure CosmosDB, Neo4j and TigerGraph announcing new versions.		Knowledge graphs in Gartner’s hype cycle. The Year of the Graph Newsletter: September 2018 September 2, 2018 8:04 am Knowledge graphs in Gartner’s hype cycle, machine learning extensions and visual tools for graph databases, Ethereum analytics with RDF, Using Gremlin with R, SPARQL, and Spring, graph database research wins best paper award in VLDB, and benchmarking AWS Neptune.
	Choosing a Graph Database. The Year of the Graph Newsletter: July 2018 July 19, 2018 8:03 am This month the Year of the Graph offering expands to the Year of the Graph Database Report. Other than that, this edition features 10+1 items to make for the extended time period it covers, and features mostly educational resources on using Gremlin, Cosmos DB, DSE Graph, on graph data modeling, and combining graphs with machine learning.		On Graph query languages. The Year of the Graph Newsletter: June 2018 June 11, 2018 8:01 am AWS Neptune goes GA, Microsoft Cosmos DB releases new features, the query language discussion heats up, TigerGraph announces free developer edition, building enterprise knowledge graphs in the real world with Zalando and Textkernel, and more.
	New releases, algorithms, and visualization. The Year of the Graph Newsletter: May 2018 May 9, 2018 7:59 am 2 minor, 1 major graph database versions come out. More graphs hit the mainstream. A new way to write SPARQL queries using JSON, and a free web-based tool to visualize ontologies.		Here we go: The Year of the Graph Newsletter, April 2018 April 3, 2018 7:56 am Graph databases are the hottest thing around right now. Whether you are just getting started, or you are in one of the 51% of organizations already using them, this is the place to get your news and analysis.