GraphAware Blog - Neo4j

Find out what's new in the world of mission critical graph analytics.

Neo4j’s funding validates Hume market

Neo4j’s funding validates Hume market

24 Jun 2021 by Michal Bachman · 1 min read Hume Neo4j

When we started our journey with Neo4j over ten years ago, we were just a bunch of passionate techies trying to convince the world about the power of graphs. We were blogging, running meetups, writing open-source code, speaking at conferences, trying to preach graphs to a like-minded crowd.

From GraphAware Framework to GraphAware Hume

From GraphAware Framework to GraphAware Hume

06 May 2021 by Michal Bachman · 8 min read Hume GraphAware Neo4j

It has been over 8 years since I’ve written the first lines of code for the GraphAware Neo4j Framework as part of my MSc. thesis. That’s when the name GraphAware, as well as the (then) one-man show Neo4j consulting company was born. It is therefore my bittersweet duty to take you on a small trip down the memory laneand announce that we have decided to discontinue the development and support of the Framework and all of its modules.

Registering a custom analyzer for phonetic search in Neo4j 4

11 Mar 2021 by Luanne Misquitta · 2 min read Neo4j Cypher Search

Phonetic matching attempts to match words by pronunciation instead of spelling. Words are typically misspelled and exact matches result in them not being found.Algorithms such as Soundex and Metaphone were developed to address this problem and they have found usage in the areas of voice assistants, search, record linking and fraud detection, misspelled names of things (for example, medical records) etc.

Reactive data copy using Neo4j

Reactive data copy using Neo4j

14 Jan 2021 by Nicolas Mervaillie · 6 min read Neo4j Performance

The release of Neo4j 4.0 brought many improvements, one of them being areactive architecture across the stack, from query execution to clientdrivers. But how does that compare to other approaches ? As stated inthe reactive manifesto, areactive system is more scalable and responsive, by having a more efficient resource usage.

Insightful IT Operations with Hume

Insightful IT Operations with Hume

30 Nov 2020 by Luanne Misquitta · 6 min read Hume Neo4j ITOps

Graphs are a perfect fit for IT Operations. Right from dependency management to impact analysis and capacity to outage planning, the interconnectedness of the components that make up networks and services, modelled naturally as a graph enable various teams such as support, help desk and devops to navigate potentially complex relationships.

Practical Applications of Neo4j 4.0

Practical Applications of Neo4j 4.0

16 May 2020 by Michal Bachman, Miro Marchi · 13 min read Neo4j

GraphTour Europe 2020 started in Amsterdam on February 4, right after the release of Neo4j 4.0, a key milestone in the graph technology landscape. At GraphAware we are very excited about the new features included in this release because they revolutionize the way we approach some common graph challenges. Our CEO, Michal Bachman spoke about this in Amsterdam in his talk “Practical Applications of Neo4j 4.0”, and he and other GraphAware experts continue to present in each of the six cities where we sponsor GraphTour. Find out what’s the next virtual event and register for free.

Contact Tracing Using GraphAware Hume (COVID-19)

Contact Tracing Using GraphAware Hume (COVID-19)

01 Apr 2020 by Michal Bachman · 1 min read Neo4j GraphAware Hume Coronavirus

GraphAware Hume helps governments in keeping their countries safe. In this 15-minute video, we demonstrate the use of Hume for contact tracing and smart quarantine in the context of the current coronavirus pandemic. Specifically, we will see how Hume can identify people at risk using actual and potential contact tracing, suggest who should be informed or quarantined, visually explain why someone is at risk, find quarantine offenders, and much more.

Neo4j 4: Drivers and Authorization

Neo4j 4: Drivers and Authorization

28 Feb 2020 by Michal Trnka, Luanne Misquitta · 3 min read Neo4j

Neo4j 4.0 has just been released with a key feature: graph and sub-graph access control. Access to certain labels or relationship types or properties can now be handled at the database level, resulting in developers not having to deal with complex security logic in their code, and also providing a more consistent and performant solution.

Graph Technology Landscape 2020

Graph Technology Landscape 2020

17 Feb 2020 by Janos Szendi-Varga · 6 min read Neo4j GraphAware

It’s been a year since I published the Graph Technology Landscape 2019 post on GraphAware’s blog. I consider this a success story because it got a lot of attention and publicity. The landscape was mentioned many times at different places; it was used by Emil Eifrem in his GraphTour and GraphConnect opening keynotes, it was displayed in conference halls, and I received many, many useful comments and feedback. I was even invited to Rik van Bruggen Graphistania Podcast to talk about it, and the episode was referred to in the Top 5 Neo4j Podcasts of 2019 blog posts as well....

Neo4j 4: Multi tenancy

Neo4j 4: Multi tenancy

06 Feb 2020 by Luanne Misquitta · 7 min read Neo4j Cypher

Up until version 4.0, Neo4j has supported only one active database per server instance. As such, achieving multi tenancy meant that either a Neo4j instance had to be deployed per tenant, or all tenant graphs co-existed in the same database.

Neo4j 4: Post-Union Processing Explained

Neo4j 4: Post-Union Processing Explained

17 Jan 2020 by Luanne Misquitta · 9 min read Neo4j Cypher

Many, many years ago, I requested for the Cypher UNION clause in Cypher and Andres Taylor graciously added it.This was followed by the request for Post-Union Processing by Aseem Kishore, and it began to collect a whopping 99 comments over the course of time.

GRANDstack tips and tricks

GRANDstack tips and tricks

18 Nov 2019 by Michal Trnka · 11 min read Neo4j Advanced GraphQL

GRANDstack tips and tricksUsing GRANDstack can rapidly accelerate the development of applications. The neo4j-graphql-js library provides the ability to translate GraphQL queries from the frontend to Cypher queries. This is achieved by defining the GraphQL schema and annotating it with a few extra directives. If you want to get familiar with the GRANDstack you can visit their documentation.

Custom analyzer for fulltext search in Neo4j

06 Sep 2019 by František Hartman · 4 min read Neo4j Cypher Search

We have already blogged about fulltext search available in Neo4j 3.5. The list of available analyzers covers many languages and fits various use cases. However once you expose the search to real users they will start pointing out edge cases and complain about the search not being google-like.

Cypher: Using Index Hints

19 Aug 2019 by Luanne Misquitta · 4 min read Neo4j Cypher Intermediate

The Cypher query planner is quite advanced and mature, and you can mostly rely on it to pick the best plan for your query. However, there are rare cases, or bugs, that might want you looking for ways to influence that plan. This article demonstrates practical usage of an index hint.

Build your first Neo4j Desktop Graph App in vanilla Javascript

Build your first Neo4j Desktop Graph App in vanilla Javascript

25 Jul 2019 by Aldrin Misquitta · 6 min read Neo4j Web Apps Beginner Graph Apps

Neo4j Desktop, part of the Neo4j Graph Platform, is a client application that installs on your desktop OS. It lets you get started quickly by downloading and installing the enterprise edition, and supported plugins. You can group related graphs and applications under a Project. You can also build single-page web applications that run within Neo4j Desktop and have access to these services provided by Neo4j Desktop. There are a number of apps available at https://install.graphapp.io/

Monitoring Neo4j and Procedures with Prometheus and Grafana - Part 2

Monitoring Neo4j and Procedures with Prometheus and Grafana - Part 2

14 Jun 2019 by Miro Marchi · 20 min read Neo4j Monitoring Causal Cluster

This is the second of a two post series on monitoring the Neo4j graph database with popular enterprise solutions such as Prometheus and Grafana. Monitoring the status and performance of connected data processes is a crucial aspect of deploying graph based applications. In Part 1 we have seen how to expose the graph database internals and custom metrics to Prometheus, where they are stored as multi-dimensional time series.

Avoid cycles in Cypher queries

Avoid cycles in Cypher queries

26 Apr 2019 by Jan Zak · 3 min read Neo4j Beginner Cypher

There is one common performance issue our clients run into when trying their first Cypher queries on a dataset in Neo4j. When writing a query, be sure that it doesn’t match any cycles, or you can experience unpleasant surprises.

Lean Dependencies- Reduce Project Delivery Chaos with Graphs

Lean Dependencies- Reduce Project Delivery Chaos with Graphs

20 Feb 2019 by Luanne Misquitta · 6 min read Neo4j Beginner

Dependencies, like graphs, are everywhere. Achieving a goal is rarely possible in a vacuum and requires collaboration between individuals and/or processes.Eliminating dependencies completely is unrealistic- they are a part of life- but they can be streamlined to improve efficiency and reduce friction.

Graph Technology Landscape 2019

Graph Technology Landscape 2019

01 Feb 2019 by Janos Szendi-Varga · 8 min read Neo4j GraphAware

Few years ago I decided that one day I would create a Graph Technology Landscape map, which would be useful for everyone who wants to discover the players around graph technologies. I started to collect the companies and products, but my research has never manifested into a proper blog post. Till now. I am happy to announce, that the first version of my landscape is published, I hope we can consider this as a start of a long journey.

This year at GraphAware

This year at GraphAware

27 Dec 2018 by Luanne Misquitta · 4 min read Neo4j GraphAware

2018- it’s been such a whirlwind of activity at GraphAware, and we’re so proud of everything we’ve accomplished this year.In fact, we grew and grew, announcing ourselves in Australia and then, later in the year, expanding into the Americas.“Neo4j is one of the most disruptive and transformative technologies I have seen in my career,” said Kyle McNamara, CEO, Americas. His team are well on their way to increasing GraphAware’s presence and strengthening the already close bond we have with Neo4j.

Why You Should Start Thinking About Your Organization as a Graph

22 Oct 2018 by Janos Szendi-Varga · 6 min read Knowledge Graph NLP Neo4j Connected Data Knowledge Platform

Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database like Neo4j without touching your product, and you can use it for managing your company’s knowledge as well as to improve your software development process. So, even if your business problem is not inherently graphy (hard to believe in 2018), there are a few reasons why you should think about your environment as a graph.

Solving the bucket-filling problem with Neo4j

02 Sep 2018 by Vince Bickers · 7 min read Neo4j State Machine Optimisation Problems Shortest Path

IntroductionIn the bucket filling problem you are given two empty buckets, each of a certain capacity, and a large supply of water. By filling, emptying and transferring water between the two buckets, you must try to end up with a situation where one of the buckets contains a required volume of water, or where both buckets together contain the required volume.

GraphAware Audit Module

28 Feb 2018 by Eric Spiegelberg · 7 min read Neo4j

The GraphAware Audit Module seamlessly and transparently captures the full audit history who, when, and how a graph was modified.

Neo4j Causal Cluster Docker Quickstart

03 Jan 2018 by Eric Spiegelberg · 6 min read Neo4j Causal Cluster Docker SDN OGM

Enterprise IT requirements are demanding and solutions are expected to be reliable, scalable, and continuously available. Databases accomplish this through clustering, the ability of several instances to connect and conceptually appear and operate as a single unit.

Spring Boot Actuator’s Neo4jHealthIndicator

25 Nov 2017 by Eric Spiegelberg · 4 min read Neo4j Spring

Spring and Spring Boot have become the Swiss Army knife of Java software development, offering dozens of useful modules across a wide range of concerns.One such module is Spring Boot Actuator, a sub-project of Spring Boot, that offers built-in, production-grade functionality to help monitor and interact with an application. Numerous endpoints are included that provide a wealth of information that, among others, include auditing, configuration, environment, and health details.

Cybersecurity & Graph Technology: An Excellent Fit

24 Oct 2017 by Eric Spiegelberg · 5 min read Neo4j Security

We are becoming increasingly dependent on technology. Yet, without diligent attention paid to cybersecurity, technology is vulnerable to unauthorized access, change or even destruction. These vulnerabilities pose threats to our individual and collective safety, security and human and economic well-being.Cybersecurity is therefore a vitally important global issue with substantial consequences that depends on safe, stable, and resilient security of our data, devices, and systems.

7VORTEX: Systems Thinking Powered By Graphs

15 Oct 2017 by Miro Marchi · 9 min read Neo4j Graph Visualization Connected Data Analytics

The success of many enterprises greatly depends on their ability to gather useful information and process it in a timely manner. Automation is essential and so is presentation, giving tangible feedback, to decision makers. This is where technology reaches out to management, where science and design are combined to put the right people in the position of making better and more sustainable choices.

Efficient unsupervised keywords extraction using graphs

03 Oct 2017 by Alessandro Negro, Vlasta Kůs, Miro Marchi, Christophe Willemsen · 17 min read Neo4j NLP Knowledge Platform Cognitive Computing

Companies of any size have to manage and access huge amounts of data providing advanced services for their end-users or to handle their internal processes. The greater part of this data is usually stored in the form of text. Processing and analyzing this huge source of knowledge represents a competitive advantage, but often, even providing simple and effective access to it is a complex task, due to the unstructured nature of the textual data. This blog post will focus on a specific use case: provide effective access to a huge set of documents - later referred as a corpus -...

Bridging similarity islands in recommendation systems with Neo4j

08 Mar 2017 by Miro Marchi · 9 min read Neo4j Recommendations

Recommendation engines are a crucial element in the global trend towards a push-based web experience and away from a pull-based one. They provide the ability to personalize content offered to each user by predicting the interest the user will have in the recommended items. This is not only a powerful business tool for content providers, but also a vital improvement to the user experience. In today’s world where the volume, interdependence, variety and speed of information is overwhelming, recommendation engines can significantly reduce the gap between us and what we search for. Indeed, these engines are used even to enhance...

GraphAware at GraphConnect San Francisco 2016

25 Nov 2016 by Miro Marchi · 5 min read Neo4j Conference GraphAware

Last month, the 5th edition of GraphConnect San Francisco took place at the Hyatt Regency SF. It was the biggest graph technology event ever and GraphAware proudly contributed as a sponsor, with one main talk, two lightning talks and our GraphHero stand 。^‿^。 This edition’s big announcement was the upcoming new landmark release of Neo4j 3.1, “The database for the connected enterprise”, which introduces a new state-of-the-art clustering architecture and new security architecture to meet enterprise requirements for scale and security. There will be a lot to say about this release, but you can already try the beta release as...

Using NLP + Neo4j for a Social Media Recommendation Engine

04 Oct 2016 by Alessandro Negro · 5 min read Neo4j NLP

In recent years, the rapid growth of social media communities has created a vast amount of digital documents on the web. Recommending relevant documents to users is a strategic goal for the effectiveness of customer engagement but at the same time is not a trivial problem.

Internationalization with CypherMessageSource, Spring and Neo4j

29 Sep 2016 by Eric Spiegelberg, Guest Author · 6 min read Neo4j SDN Internationalization Localization

Whether you realize it or not, the software you create has a global market. Perhaps more so than any other product in any other industry,code that may start as a small, individual effort has the potential to rapidly blossom into a product used around the world.While it is not always obvious that your application can or will have such wide usage, it is in your best interest to maximizethe number of organizations and people you can reach. This means it is important to ensure your software is internationalized and localized.

Neo4j as a Key Player in Human Capital Management

19 Jul 2016 by Luanne Misquitta · 7 min read Neo4j HCM PeopleAnalytics HR HRTech

In the Bersin Predictions for 2016 report, Josh Bersin states that “it feels as though everything in the world of talent is changing – from the way we recruit and attract people, as well as how we reward them, to the way we learn, and how we curate and manage our entire work-life experience”[1].

Graph-Aided Search - The Rise of Personalised Content

20 Apr 2016 by Alessandro Negro, Christophe Willemsen · 26 min read Neo4j Cypher Recommendations Elasticsearch

In our previous blog postwe introduced the concept of Graph Aided Search. It refers to a personalised user experience during search where theresults are customised for each user based on information gathered about them (likes, friends, clicks, buying history, etc.).This information is stored in a graph database and processed using machine learning and/or graph analysis algorithms.

(Un)common Use Cases for Graph Databases

18 Apr 2016 by Michal Bachman · 3 min read Neo4j Beginner Modelling

At GraphAware, we live and breathe Neo4j. For three years, we have been helping customers around the world embrace thisamazing technology as a solution to many interesting problems. Mainstream applications of graphs, such as real-timerecommendations, fraud detection, impact analysis, and graph-aided search, have been getting a lot of media attention.

Neo4j OGM Events - Part 1

13 Apr 2016 by Vince Bickers · 13 min read Neo4j OGM SDN Intermediate

As of version 2.1, Neo4j OGM will support persistence events. Although a date for the release of 2.1 isn’t known at thetime of writing, we think this is an important and exciting new feature and so we’ll be writing a series of posts aboutit over the next few weeks to whet your appetites. In this first post we’ll take a quick tour of the new Events mechanismin the OGM, and provide some examples of how we might use it in our own applications. But first, some background…

Securing Neo4j with GraphAware Enterprise

29 Mar 2016 by Michal Bachman · 5 min read Neo4j GraphAware Intermediate Security Enterprise

For most organisations, data security is extremely important. The topic comes up every single time we are training, consulting,or otherwise engaging in the world of graphs and Neo4j. At the same time, security is very difficult and time-consuming to get rightand the implications of getting it wrong can be serious. In this blog post, we introduce the integration of Spring Securityinto Neo4j which provides important security controls and mechanisms for enterprises and governments that make use of theworld’s most popular graph database.

Expiring Data in Neo4j

15 Mar 2016 by Michal Bachman · 3 min read Neo4j GraphAware Intermediate

At GraphAware, we help organisations in a wide range of verticals solve problems with graphs.Once we come across a requirement or use case two or three different times, we typically create an open-source Neo4j extensionthat addresses it. The latest addition to our product portfolio, introduced in this post, is a simple library that automaticallyexpires data from the Neo4j graph database.

Meetup Invite: Real-Time Recommendations and the Future of Search

30 Jan 2016 by Michal Bachman · 0 min read Neo4j Meetup

We are delighted to invite you to a Meetup on 4th February 2016 at 6:30 pm at GraphAware London office where Michal Bachman is going to present the European premiere of his talk entitled “Real-Time Recommendations and the Future of Search” combined with a unique expert panel discussion and Q&A.

Processing Large Sets of Nodes with Cypher

10 Dec 2015 by Christophe Willemsen · 4 min read Neo4j Cypher

Iterating over large numbers of nodes using Cypher is quite a common use case in Neo4j. Typically, the reason for doing thisis that we want to perform some kind of operation for each one of these nodes. In this blog post, we will use one millionTestNodes and try to iterate over them in order to index their contents into a freshly created Elasticsearch index.There are three approaches we can take, two of which are quite common, but the most performant technique is largely unknown.

GraphConnect 2015 Talk

20 Nov 2015 by Michal Bachman · 0 min read Neo4j Conference Intermediate Search Elasticsearch

Last month, I had the pleasure of speaking at GraphConnect in San Francisco, introducing the Graph-Aided Search to alarge audience of Neo4j users and graph enthusiasts. For those who missed the conference, the recording and slides havenow been made available. Enjoy and get in touch with feedback / questions!

Faster Recommendations with Neo4j 2.3 Triadic Selection

20 Oct 2015 by Alessandro Negro, Christophe Willemsen · 8 min read Neo4j Cypher Recommendations

Recently, Neo Technology announced the 2.3.0-RC1 release of their Neo4j graph database. One of the key new features is TriadicSelection built into Cypher’s Cost Based Planner. In this blog post, we will explore the Triadic Selection in detailand demonstrate how significantly it can speed up recommendations computed in Neo4j.

Recommendations with Neo4j and Graph-Aided Search

30 Sep 2015 by Michal Bachman · 4 min read Neo4j Recommendations Search Elasticsearch

For the last couple of years, Neo4j has been increasingly popular as the technology of choice for people building real-time recommendation engines. Having been at the forefront of the graph movement through clientengagements and open-source software development, we have identified the next step in the natural evolution of graph-based recommendationengines. We call it Graph-Aided Search.

Object Models and Spring Data Neo4j 4

03 Sep 2015 by Luanne Misquitta · 10 min read Neo4j Spring SDN OGM

Drawing a graph on a whiteboard is easy and fun! Translating that graph into an object model can sometimes result in questions such as “do I have to define relationships in both participating node entities?”or “which end of the relationship should I save?”.

Integration Testing Against Remote Neo4j

20 Aug 2015 by Adam George · 3 min read Neo4j Advanced GraphUnit Testing

Writing integration tests for your code that runs against Neo4j is simple enough when using the native API, but there’snot a great deal of help out there if you’re working in client-server mode. Making assertions about the shape of thegraph can also be difficult, particularly if use cases involve more than a few nodes and relationships.

Cypher: Variable Length Relationships by Example

Cypher: Variable Length Relationships by Example

19 May 2015 by Christophe Willemsen, Michal Bachman · 4 min read Neo4j Cypher

In this blog post, we’ll demonstrate how to use variable length relationships (sometimes called “variable length paths”)in Cypher using examples. We will also see when zero length relationships can be useful.

GraphConnect Europe 2015

05 May 2015 by Michal Bachman · 1 min read GraphAware Neo4j Conference

GraphAware is very proud to sponsor GraphConnect Europe 2015, the only conference thatfocuses on the rapidly growing world of graph databases and applications that make sense of connected data. The conferencetakes place in London on 7th May 2015.

Neo4j Events (Spring/Summer 2015)

27 Mar 2015 by Michal Bachman · 1 min read Neo4j Events Beginner

At GraphAware, we are very excited about the recently released Neo4j 2.2 and would like to share some info about whereyou can meet us in the next few weeks and months. Come and see us for a chat and learn something new about Neo4j and Graph Databases!

Announcing Spring Data Neo4j 4.0

24 Mar 2015 by Vince Bickers · 3 min read Neo4j Spring SDN Beginner

Over the last few months, GraphAware, Neo4j, and Pivotal engineers have been workingon a ground-up reimplementation of Spring Data Neo4j (SDN) that is server-first and Cypher-centric. Today we are veryexcited to announce the first milestone of the new Spring Data project for Neo4j.

Using the Neo4j Shell with Embedded Neo4j

10 Feb 2015 by Luanne Misquitta · 1 min read Neo4j Intermediate

Our earlier blog posttalked about using the Neo4j web browser along with embedded Neo4j.The WrappingNeoServerBootstrapper which was employed to do this has been deprecated for a while and it raises questionsabout the alternative.

Neo4j Events (Jan/Feb 2015)

16 Jan 2015 by Michal Bachman · 1 min read Neo4j Events Beginner

There is no better way to start 2015 than to learn something new. In the wake of two recent major announcements (here and here),Neo4j is as hot as ever, so it might well be the next skill you pick up or improve. Here’s a list of Neo4j events organisedby GraphAware around the world in the next few weeks. We’ll be delighted to see you there!

Using the Neo4j Browser with Embedded Neo4j

21 Nov 2014 by Luanne Misquitta · 1 min read Neo4j Intermediate

There are times when you have an application using Neo4j in embedded mode but also need to play around with the graphusing the Neo4j web browser. Since the database can be accessed from at most one process at a time, trying to start upthe Neo4j server when your embedded Neo4j application is running won’t work. The WrappingNeoServerBootstrapper,although deprecated, comes to the rescue. Here’s how to set it up.

GraphConnect 2014 Talk

20 Nov 2014 by Michal Bachman · 0 min read Neo4j Conference Intermediate

Last month, I had the pleasure of speaking at GraphConnect in San Francisco, introducing the GraphAware Framework to alarge audience of Neo4j users and graph enthusiasts. For those who missed the conference, the recording and slides havenow been made available. Enjoy and get in touch with feedback / questions!

GraphAware Neo4j TimeTree

20 Aug 2014 by Luanne Misquitta, Michal Bachman · 6 min read Neo4j GraphAware Intermediate

Modelling and querying time-based events in a graph is a fairly common discussion topic and a frequently asked questionon Q/A sites. In this blog post, we evaluate some of the common approaches and introduce GraphAware TimeTree, a GraphAware Framework Module that simplifies modelling time and events in Neo4j.

Random Graph Models (Part II)

06 Aug 2014 by Vojtěch Havlíček · 4 min read Neo4j GraphAware Intermediate

In the first part of this short series aboutrandom graph models, we talked about why they are useful and had a brief look at two of them: Erdos-Renyi graphs andBarabasi-Albert model. In this post, we take a look at the “small world” phenomenon and another network model, namelythe Watts-Strogatz model.

Node Degrees in Neo4j 2.1

23 Jul 2014 by Michal Bachman · 3 min read Neo4j GraphAware Beginner

Efficient counting of relationships in Neo4j was the cornerstone of my Master Thesisand the reason the very first GraphAware Frameworkmodule called the Relationship Count Module was born. The improvements in Neo4j 2.1around dense nodes and the addition of getDegree(…) methods on the Node interface made me eager to do some benchmarking around relationship counts again.

Random Graph Models (Part I)

16 Jul 2014 by Vojtěch Havlíček · 4 min read Neo4j GraphAware Intermediate

When one obtains a graph data from a measurement on a real world network, it is sometimes useful to make comparison witha random graph. Such graph is characterised by certain degree distribution, which you can imagine to be a list of degreesof nodes present in the network. The most interesting distributions have certain functional dependence which allowsone to infer what processes are dominant in formation of the network. The processes consequently characterise therelationships between the nodes.

Neo4j Improved Transaction Event API

11 Jul 2014 by Michal Bachman · 9 min read Neo4j Transactions GraphAware Advanced

One of the main goals of the GraphAware Framework is to simplify andspeed up development with Neo4j. Although it is called a “framework” for reasons explained elsewhere, today we willsimply treat it as a library of useful, tested, and documented Java code. The feature we will introduce is calledImproved Transaction Event API, which is exactly what it says on the tin.

Happy Birthday GraphAware

03 Jun 2014 by Michal Bachman · 0 min read Neo4j GraphAware

Today, it is exactly one year ago since Graph Aware Limited was incorporated. It started as a one man show, whilst I was finishing my MSc. Thesis at Imperial College London. Since then, we’ve been growing slowly but steadily and will be moving to our new London office fairly soon (announcements to come). We have happy clients in London, New York, Copenhagen, Barcelona, Prague, and Accra.

Introducing GraphAware Neo4j Framework

28 May 2014 by Michal Bachman · 1 min read Neo4j GraphAware Intermediate

In this short blog post, I would like to introduce the GraphAware Neo4j Framework.Its goal is very ambitious: we’d like to make it as useful for Neo4j developers, as the Spring Framework is for Java developers. The Framework aims at speeding up development with Neo4j by providing a platform for building useful generic aswell as domain-specific functionality, analytical capabilities, graph algorithms, and more.

(Big) Data Science (2013 WebExpo Talk)

23 May 2014 by Michal Bachman · 0 min read Neo4j Conference NoSQL

After a long wait, I finally got the opportunity to publish the recording of my graph/Neo4j talk at WebExpo Prague 2013,intentionally and somewhat misleadingly titled “(Big) Data Science”. Thanks to the organisers for making it available andsee you soon at WebExpo 2014!

Video from Neo4j Meetup Prague

18 Jan 2014 by Michal Bachman · 0 min read Neo4j Meetup

Those who missed the first official Czech Neo4j Meetup can view recording of the event below (in Czech). Thanks againto all organisers, speakers, and participants.

Neo4j Meetup Prague

26 Oct 2013 by Michal Bachman · 2 min read Neo4j Meetup

We are pleased to announce the first official Czech Neo4j Meetup on 11th November 2013 at 6pm at the Czech TechnicalUniversity in Prague. It is a free event: Anyone interested in learning about graph databases as well as those alreadyusing them are welcome to attend, listen to the talks, and join us for a beer afterwards. The talks will be in Czech.

Neo4j Meetup Praha (in Czech)

25 Oct 2013 by Michal Bachman · 1 min read Neo4j Meetup Czech

Srdečně zveme všechny zájemce o NoSQL, grafové databáze a Neo4j na první oficiální setkání v ČR, které se koná v rámciinformatického večerana Fakultě informačních technologií ČVUT 11. listopadu 2013 v 18h. Vstup je zdarma.

Modelling Data in Neo4j: Bidirectional Relationships

11 Oct 2013 by Michal Bachman · 2 min read Neo4j Modelling Beginner

Transitioning from the relational world to the beautiful world of graphs requires a shift in thinking about data. Althoughgraphs are often much more intuitive than tables, there are certain mistakes peopletend to make when modelling their data as a graph for the first time. In this article, we look at one common sourceof confusion: bidirectional relationships.

Towards OLAP in Graph Databases (MSc. Thesis)

02 Oct 2013 by Michal Bachman · 2 min read Neo4j Analytics Advanced

I have just finished a year-long MSc. program in Computing at Imperial College London. My thesis was called GraphAware:Towards Online Analytical Processing in Graph Databases, which you can freely download. It’s not an easy, cover-to-coverread, but there might be some interesting parts, even if you don’t go through all the (over 100) pages.