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ArangoDB vs. Neo4J
Estimated reading time: 7 minutes
Advantages & Implications for Architects and Developers
ArangoDB and Neo4j are both powerful graph databases, but they have different strengths and features. Here’s a comparison showing how ArangoDB might be superior to Neo4j in certain scenarios, along with code snippets to illustrate:
(more…)ArangoBNB Data Preparation Case Study: Optimizing for Efficiency
Estimated reading time: 18 minutes
This case study covers a data exploration and analysis scenario about modeling data when migrating to ArangoDB. The topics covered in this case study include:
- Importing data into ArangoDB
- Developing Application Requirements before modeling
- Data Analysis and Exploration with AQL
This case study can hopefully be used as a guide as it shows step-by-step instructions and discusses the motivations in exploring and transforming data in preparation for a real-world application.
The information contained in this case study is derived from the development of the ArangoBnB project; a community project developed in JavaScript that is always open to new contributors. The project is an Airbnb clone with a Vue frontend and a React frontend being developed in parallel by the community. It is not necessary to download the project or be familiar with JavaScript for this guide. To see how we are using the data in a real-world project, check out the repository.
ArangoDB Receives Series A Funding Led by Bow Capital
Phew, it’s been quite a ride, but today the whole team is super excited to announce a $10 million Series A funding for ArangoDB, our native multi-model database.
We feel honored and frankly a bit proud that Bow Capital is leading this 
investment round and shows their trust in our product, team, and amazing community. Vivek, Suraj and team – it is an absolute pleasure teaming up with you! Getting the chance to learn from the leaders guiding TIBCO to its remarkable success is an absolute privilege. Read more
ArangoDB Finalizes 4.2 Million Euro Investment Led by Target Partners
Funding to accelerate and strengthen the company’s US-based presence
ArangoDB, the company behind one of the fastest growing next generation databases, closed the final tranche of a 4.2 million Euro investment led by Munich-based venture capital firm Target Partners.
The company is developing the open-source NoSQL database ArangoDB, which combines three major data models (graph, key/value, JSON-documents) in one database and with one query language. ArangoDB allows startups and enterprises to speed up innovation cycles, simplify technology stacks and increase on-time and on-budget delivery of software projects. Read more
ArangoDB Hires Seasoned Software Executives to Run Americas
Michael Guerra, former MariaDB, Basho and VMWare leader and Ramona Rolando from Oracle join to foster US growth
ArangoDB, the company behind the leading native multi-model database, winner of 2017 Red Herring Top 100 Europe, today announced that Michael Louis Guerra has formally joined as Head of Sales Americas. Mike’s responsibilities will include building a high-performance sales team and a network of partners across the region.
Mike has over 20 years of experience at public, private, as well as venture-backed startups with a particular focus on open source technologies. He’s an accomplished software sales executive with strong leadership, team building, and business development skills. Most recently, Mike was responsible for growing the Western Territory at MariaDB and Basho Technologies. He helped several companies over two decades leading to acquisitions from Morgan Stanley, Yahoo, and VMware.
Ramona Rolando, a seasoned Sales Leader from Oracle and Honeywell, also joins the team to run Inside Sales in the region. Read more
ArangoDB Selected as Finalist for Red Herring Top 100 in Europe
“ArangoDB shows great promise and therefore deserves to be among the finalists.”
ArangoDB, the native multi-model database, announced today that it has been selected as a finalist for
Red Herring Top 100 award for the European business region. The nomination underlines the great success of the company and the growing momentum behind the multi-model movement it is heralding.
“The whole team is proud to be nominated for such a prestigious award,” says Claudius Weinberger, CEO of ArangoDB. “Looking back a few years, it was hard work to win people for our multi-model approach and unique query language. Today startups and enterprises enjoy the flexibility our database provides and use it to realize their brightest ideas.” Read more
ArangoDB Secures €2.2M Investment Led by Target Partners
Funding to accelerate the company’s product development and international expansion
Munich/Cologne (Germany), November 24th, 2016: – ArangoDB GmbH (www.arangodb.com), the company behind one of the fastest growing next generation databases, has landed a 2.2 million Euro investment led by Munich-based venture capital firm Target Partners (www.targetpartners.de). The company develops the open-source NoSQL database ArangoDB, which combines three major data models (graph, key/value, JSON-documents) in one database and one query language. ArangoDB’s product allows startups and enterprises alike to speed up their innovation cycles, simplify their technology stack and increase on-time and on-budget delivery of software projects.
Claudius Weinberger, Co-Founder and CEO, declares: “The previous funding round allowed us to build a rock-solid product and with this additional investment we can further accelerate our growth and expand internationally.” Read more
Multi-Model Benchmark: Round 1 Results | ArangoDB Blog
It’s time for another update of my NoSQL performance blog series. This hopefully concludes the first part of this series with the initial databases ArangoDB, MongoDB, Neo4J and OrientDB and I can now start to check out other databases. I’m getting a lot of requests to test others as well and I’ll try to add them as soon as possible. Pull requests to my repository are also more than welcome. Remember it is all open-source.
The first set of benchmarks was started as a proof that multi-model can compete with specialized solutions and I started with the corresponding top dogs (Neo4J and MongoDB) for graphs and documents. After the first blog post, we were asked by the community to include OrientDB as the other multi-model database, too, which makes sense and therefore I expanded the initial lineup.
Concluding the tests did take a bit longer than expected, because vendors took up the challenge and improved their products with impressive results – as we asked them to do. Still, for each iteration we needed some time to run all tests, see below. However, on the upside, everyone can benefit from the improvements, which is an awesome by-product of the benchmark tests. (more…)
Data Modeling with Multi-Model Databases: ArangoDB Insights
Max published an article on O’Reilly Radar about the use case he presented on Strata+Hadoop World in London earlier this year.
Read how multi-model databases can be used in an aircraft fleet maintenance system by mixing different data models within the same data store. 
A query language like AQL can help to answer maintenance questions like:
- What are all the parts in a given component?
- Given a (broken) part, what is the smallest component of the aircraft that contains the part and for which there is a maintenance procedure?
- Which parts of this aircraft need maintenance next week?
Read on: O’Reilly Radar – Data modeling with multi-model databases
Is Multi-Model the Future of NoSQL? ArangoDB Insights
Here is a slideshare and recording of my talk about multi-model databases, presented in Santa Clara earlier this month.
Abstract: Recently a new breed of “multi-model” databases has emerged. They are a document store, a graph database and a key/value store combined in one program. Therefore they are able to cover a lot of use cases which otherwise would need multiple different database systems. This approach promises a boost to the idea of “polyglot persistence“, which has become very popular in recent years although it creates some friction in the form of data conversion and synchronisation between different systems. This is, because with a multi-model database one can enjoy the benefits of polyglot persistence without the disadvantages.
In this talk I will explain the motivation behind the multi-model approach, discuss its advantages and limitations, and will then risk to make some predictions about the NoSQL database market in five years time. (more…)