computer science

Neo4j

Neo4j is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Neo4j rather than just read about it. In short: Neo4j, Inc. is a global graph intelligence company that provides technology for analyzing and managing connected data. It is most known for creating the Neo4j Graph database, a graph database management system (GDBMS), which is implemented in Java and accessible from software written in other languages using the Cypher query language through a transactional HTTP endpoint, or through the binary "Bolt" protocol.

Key takeaways

Neo4j belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Neo4j to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Neo4j from memory before moving on to harder problems.

Reference excerpt

Neo4j, Inc. is a global graph intelligence company that provides technology for analyzing and managing connected data. It is most known for creating the Neo4j Graph database, a graph database management system (GDBMS), which is implemented in Java and accessible from software written in other languages using the Cypher query language through a transactional HTTP endpoint, or through the binary "Bolt" protocol. The company contributed to the development of the Graph Query Language (GQL), an ISO-standardized query language for property graphs, and is a founding member of the GraphQL Foundation, an open-source initiative under the Linux Foundation. Graph database management systems, such as the Neo4j Graph Database, are used in artificial intelligence applications to represent and query relationships within connected data. As of 2024, the company was valued at $2.2 billion with over 800 employees and 1,700 customers globally, with deployments across financial institutions, government, retailers, and technology companies. Neo4j has over 300 enterprise customers, including Adobe, Microsoft, Walmart, UBS, and Daimler Truck.

History Neo4j is developed by Neo4j, Inc., headquartered in San Mateo, California, United States, with locations in Sweden, Germany, the United Kingdom, France, Singapore, and Australia. The company was founded in 2007 in Sweden as an open source project by Emil Eifrem, Johan Svensson, and Peter Neubauer, but the idea for the company dates back to a drawing Eifrem sketched on the back of his napkin during a flight in 2000. Neo4j was developed as an alternative to traditional tabular databases for use cases in which data relationships are central to the structure and querying of information. It is used in applications such as AI systems, recommendation engines, fraud detection, supply chain, and pharmaceutical research, where traversing relationships between data points is a requirement. The name combines "Neo," meaning "new," with "4j," a naming convention in the Java community meaning "for Java." The project was originally called “Project Neo,” and the name Neo4j was adopted when the company was formed. The company helped popularize the term “graph database,” thus creating a new market category. In 2011, the company relocated to Silicon Valley, while its engineering hub remained in Sweden. In 2016, the Neo4j graph database was used in the analysis of the Panama Papers, a data leak that exposed how wealthy individuals and organizations used offshore financial structures to manage and conceal assets. In 2017, NASA acknowledged Neo4j’s contribution to Project Orion for its use in retrieving missing data from the Apollo program. In 2018, the company launched its Graphs4Good program to support social impact and non-corporate use cases. During the COVID-19 pandemic, Neo4j supported vaccine product development. Neo4j surpassed $200 million in revenue in 2024, and in 2025, it was reported that 84 of the Fortune 100 and over half of the Fortune 500 use Neo4j’s software to build, orchestrate, and deploy graph databases, including in AI systems at Uber, Walmart, and Daimler Truck. In 2025, Neo4j announced a $100 million investment in generative AI, including a startup program supporting 1,000 AI-focused companies worldwide; program members include Medium, Shutl (acquired by eBay), and SOUQ (acquired by Amazon). In 2026, the company announced its acquisition of GraphAware, an intelligence analysis software provider for government agencies, as part of its AI investment. Neo4j participates in the AI Alliance and engages with Linux Foundation projects focused on open-source data and AI ecosystems.

Funding Neo4j raised $10.6 million in Series A Funding led by Fidelity Growth Partners Europe in 2011. In November 2012, the company raised $11 million in Series B Funding led by Sunstone Capital. In January 2015, Neo4j secured $20 million in Series C Funding led by Creandum and Dawn Capital. In November 2016, Neo4j secured $36 million in Series D Funding led by Greenbridge Partners Ltd. In November 2018, Neo4j secured $80 million in Series E Funding led by One Peak Partners and Morgan Stanley Expansion Capital, with participation from other investors including Creandum, Eight Roads and Greenbridge Partners. In June 2021, Neo4j announced $325 million in Series F funding, led by Eurazeo and GV (Alphabet’s venture capital arm), which valued the company at over $2 billion making the company one of the best funded database companies. In late 2024, the company began preparations for an initial public offering (IPO) on the Nasdaq stock exchange. By early 2025, the company announced it had surpassed $200 million in Annual Recurring Revenue (ARR). In 2026, the company continues to maintain its position as the most widely deployed graph database, according to industry rankings, while remaining IPO-ready as market conditions for tech listings stabilize.

Product launches and release history Neo4j released version 1.0 of its graph database in 2010, version 2.0 in 2013, version 3.0 in 2016, version 3.5 in 2018, aimed at AI and machine learning, and version 4.0 in 2020 with unlimited scaling, partitioning, also known as ‘sharding,’ and role-based access. In 2022, version 5.0 of its graph database was released. Neo4j launched Ops Manager, a tool to monitor and manage global deployments in a unified dashboard in 2022, and vector search to its graph database in 2023, expanding contextual search for generative AI and large language models. In 2025, the company launched agentic AI enterprise offerings; Neo4j Aura Agent lets companies build, test, and deploy AI agents using their enterprise data, providing end-to-end automated orchestration and AIOps for graph-based knowledge retrieval. Neo4j also launched Aura Graph Analytics for cloud data warehouses and data lake platforms, including Oracle, Microsoft SQL and OneLake, Databricks, Snowflake, and Google BigQuery. In September 2025, Neo4j introduced Infinigraph, a scalable graph database architecture designed for operational, analytical and AI workloads at over 100 terabytes and billions of nodes.

… excerpt ends here. Continue reading the full article.

Illustrations

Worked examples

Example 1 — a first encounter with Neo4j

Start with the simplest possible case. Write down what Neo4j claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Neo4j before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Neo4j ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Neo4j

In research: Neo4j appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Neo4j in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Neo4j is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2007 software, Free database management systems, Free software programmed in Java, so understanding it makes those chapters shorter.
In everyday life: Look for Neo4j outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Neo4j in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Neo4j means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Neo4j out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Neo4j in simple terms?

Why does Neo4j matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Neo4j?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Neo4j.