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§ Private Profile · 548 Market St #61436. San Francisco, CA 94104-5401. United States
Multi-model database software company offering graph, document, and key-value data models for enterprise data architectures, focused on ML and AI.
Based in San Francisco, California, ArangoDB develops a scalable multi-model database that natively integrates graph, document, and key-value data models into a single unified query language. The venture-backed software company provides an open-core enterprise database and a fully managed cloud analytics platform designed to support complex data architectures, fraud detection systems, and generative artificial intelligence application integrations. Operating with a distributed global workforce of over 100 employees across 21 countries, the enterprise software provider has raised more than $47 million in total venture funding to date. ArangoDB is financially backed by prominent lead investors including Foundation Capital and Bow Capital, while its commercial customer base features major multinational corporations such as Cisco, Airbus, and Barclays. The technology organization was originally founded in Cologne, Germany, during 2014 by software engineers Claudius Weinberger and Frank Celler.
ArangoDB has raised $52.1M across 6 funding rounds.
ArangoDB has raised $52.1M in total across 6 funding rounds.
ArangoDB has raised $52.1M in total across 6 funding rounds.
ArangoDB's investors include Iris Capital, eCapital Entrepreneurial Partners, Target Partners, Bow Capital, Mirko Novakovic, Vivek Ranadive, Kurt Muller.
ArangoDB is a technology company that builds a multi-model NoSQL database supporting graphs, documents, key-values, and vectors in a single platform, enabling developers and enterprises to handle complex data with one query language (AQL).[1][3][6] It serves developers, enterprises in sectors like AI, big data, and enterprise software, solving problems of data silos, integration complexity, and scalability by unifying models for traditional apps and AI workloads, reducing costs and hallucinations in AI outputs.[3][4][5] Growth momentum includes early traction with 1.1 million downloads by 2016, Series A funding of $10 million in 2019, Series B of $27.8 million in 2021, and adoption by customers like Cisco, Barclays, and VMware.[1][2][5]
The company offers a community edition (open-source with limits), enterprise self-managed subscriptions, and a fully managed cloud service called Oasis on AWS, Azure, and Google Cloud, headquartered in San Francisco with a European base in Cologne.[4][6]
ArangoDB's database project began in 2011 as an open-source release, but the company, ArangoDB GmbH (later ArangoDB Inc.), was officially founded in May 2014 in Cologne, Germany, by Claudius Weinberger (business expertise) and Frank Celler (technical skills from database consulting).[1][2][4][6] The founders aimed to simplify data management by creating a single NoSQL database natively handling documents, graphs, and key-values, eliminating multiple tools and query languages; they named it after an avocado variety for its versatility.[1][3]
Early traction came quickly: seed funding of €1.85 million (~$2 million) in 2015 from Machao Holdings AG and triAGENS fueled expansion, with 1.1 million downloads by November 2016 and an enterprise edition launch that year.[1] Claudius Weinberger served as early CEO, transitioning to Shekhar Iyer in later years; the company expanded to San Francisco and went global with a distributed team.[4][5]
ArangoDB rides the wave of AI-driven data needs and multi-model databases, addressing limitations of relational and single-model NoSQL systems in handling interconnected, vector-based data for LLMs and real-time analytics.[2][3][5] Timing aligns with exploding AI adoption post-2020, where graph+vector unification reduces hallucinations and supports scalable RAG (retrieval-augmented generation), amid market forces like rising data complexity and cloud-native demands.[3]
It influences the ecosystem by pioneering versatile NoSQL (competing with Neo4j and TigerGraph), fostering open-source innovation while monetizing via enterprise features, and enabling faster AI prototyping-to-production—positioning it as a foundational layer for the "next wave of enterprise AI."[2][3][8]
ArangoDB is poised to expand its AI data platform dominance, leveraging GPU acceleration and Oasis cloud growth to capture more of the $20B+ database market amid AI infrastructure booms.[3][6] Trends like agentic AI, multimodal data, and edge computing will amplify demand for its unified model, potentially driving further funding or acquisition interest from hyperscalers.[3]
Its influence may evolve toward deeper AI ecosystem integration, powering more recommendation engines and analytics while maintaining avocado-like adaptability—cementing its role from multi-model pioneer to AI data backbone, much like its founders' vision to simplify any data challenge.[1][3]
ArangoDB has raised $52.1M across 6 funding rounds. Most recently, it raised $28.0M Series B in October 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 1, 2021 | $28M Series B | Iris Capital | Ecapital Entrepreneurial Partners, Target Partners, BOW Capital, Mirko Novakovic | Announced |
| Mar 1, 2019 | $10M Series A | Vivek Ranadive | Ecapital Entrepreneurial Partners, Target Partners | Announced |
| Jun 30, 2017 | $4.8M Venture Round | Kurt Muller | — | Announced |
| Jun 1, 2017 | $5M Seed | — | Ecapital Entrepreneurial Partners, Target Partners | Announced |
| Nov 24, 2016 | $2.3M Venture Round | Kurt Muller | — | Announced |
| Nov 1, 2016 | $2M Seed | — | Ecapital Entrepreneurial Partners, Target Partners | Announced |