|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