Skip to content 
October 23, 2023
SAN FRANCISCO, /PRNewswire/ -- In a pioneering move to tackle financial fraud globally, Tazama, a project of the Linux Foundation, has teamed up with ArangoDB to provide its real-time fraud detection capabilities in digital payment systems. This collaboration brings together Tazama's innovative approach to transaction monitoring with ArangoDB's market-leading graph database technology.
December 4, 2023
SAN FRANCISCO, CA – ArangoDB, a leader in graph database technology, has joined forces with Intel to harness the power of advanced processing technologies for Graph Machine Learning (GraphML). This collaboration revolves around the optimization of ArangoDB’s solutions with Intel's high-performance processors, notably the Xeon series, Flex series GPUs, and the Max series GPUs.
October 11, 2023
SAN FRANCISCO – October 11, 2023 – ArangoDB, the company behind the most complete and scalable graph data and analytics platform, announced the GA release of ArangoGraphML, a fully managed and intuitive graph machine learning platform.
In today’s unpredictable times, businesses must balance cost-efficiency, customer satisfaction, and revenue growth while protecting themselves from fraud and security risks. Deeply connected graph data and machine learning provide the key to unlocking valuable insights for optimal decision-making in these areas. However, the adoption of graph-powered ML has historically been hindered by overwhelming complexity, poor accuracy, and the need for specialist expertise.
May 30, 2023
SAN FRANCISCO – ArangoDB, the company behind the most complete graph data and analytics platform, today announced the GA release of ArangoDB 3.11 to accelerate its performance across search, graph, and analytics use cases. ArangoDB 3.11 includes performance improvements for ArangoSearch, ArangoDB’s natively-integrated full-text search and ranking engine, as well as new functionality to its web interface to simplify the database’s operations.
May 8, 2023
SAN FRANCISCO – Today, ArangoDB, the company behind the most complete graph data and analytics platform, announced that Chief Product Officer and Co-Founder Claudius Weinberger has decided to leave the company. As ArangoDB’s former CEO, Weinberger has played a major role in developing and steering the company. He will continue to be part of the Board of Directors and support the senior management team.
March 1, 2023
SAN FRANCISCO – ArangoDB, the company behind the most complete graph data and analytics platform, today announced Roman Bartik has joined the company as Chief Revenue Officer (CRO) to accelerate and scale the global business. Roman will leverage his track record of building successful businesses to lead ArangoDB’s global field organization.
Roman is an accomplished technology executive with over thirty years of experience in building sales organizations and operations for large and small technology companies in enterprise software and cloud services. Prior to joining ArangoDB, Roman worked for companies such as TIBCO, SingleStore, and Temenos, with global responsibilities in all go-to-market areas including sales, channels and alliances, customer success, business development, and product-led growth. He joins ArangoDB to carry the company through its next phase of growth.
October 4, 2022
SAN FRANCISCO – ArangoDB, the company behind the most complete graph data and analytics platform, today announced the GA release of ArangoGraph Insights Platform.
Powered by the ArangoDB graph database, ArangoGraph Insights Platform (ArangoGraph) is a cloud-based graph data and analytics platform that uncovers insights in data that are difficult or impossible to obtain with traditional SQL, document, or even other graph databases – making it easier to drive value from connected data, faster. It offers a comprehensive set of data management and analytical tools – all united by a powerful query language that natively integrates graph, JSON data, search, and machine learning (ML).
October 4, 2022
SAN FRANCISCO – ArangoDB, the company behind the most complete graph data and analytics platform, today released two new products to make machine learning more accessible: ArangoGraphML (closed beta) and Jupyter Notebooks-as-a-service (open beta).
ArangoGraphML provides enterprise-ready, graph-powered machine learning (ML) available as a cloud service – helping both experts and non-experts turn deeper insights into more powerful innovations. Jupyter Notebooks-as-a-service provide fast and secure data exploration for busy data scientists by keeping graph data in the cloud. Both of today’s releases are additional tools in ArangoDB’s already extensive ML toolset, which includes a healthy ecosystem of plug-and-play adapters for cuGraph, DGL, NetworkX, and PyG.
October 4, 2022
SAN FRANCISCO – ArangoDB, the company behind the most complete graph data and analytics platform, today announced the GA release of ArangoDB 3.10 to provide graph usability at scale. ArangoDB 3.10 includes new features, such as EnterpriseGraph, ArangoSearch 2.0, and locality-sensitive hashing, that not only make it simpler for organizations to implement and use graph technology at scale, but also combine it with full-text search.
March 2, 2022
San Francisco and Cologne, Germany – ArangoDB, the most scalable open source graph database, today announced it has appointed Shekhar Iyer as Chief Executive Officer; he will also join ArangoDB’s Board of Directors. Claudius Weinberger, ArangoDB co-founder, will assume the role of Chief Product Officer (CPO) going forward, and will continue to serve on the Board of Directors. Experienced global marketing executive James Smith has also joined ArangoDB as Chief Marketing Officer (CMO).
February 15, 2022
San Francisco and Cologne, Germany – February 15, 2022 – ArangoDB, the most scalable open source graph database, today announced the GA release of ArangoDB 3.9. ArangoDB 3.9 includes new capabilities that improve graph query performance across distributed data sets, as well as additional search functionality, supporting the ever-growing need for businesses to perform analytics focused around graph and full-text search.