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Founded Year



Series F - II | Alive

Total Raised




Last Raised

$66M | 2 yrs ago

About Neo4j

Neo4j provides websites, telecommunication companies, and bioinformatics research organizations with a graph database to model and query connected data. It offers analytics, application development, and artificial intelligence(AL)/machine learning (ML) pipeline solutions. Neo4j was formerly known as Neo Technology. The company was founded in 2007 and is based in San Mateo, California.

Headquarters Location

111 East 5th Avenue

San Mateo, California, 94401,

United States



ESPs containing Neo4j

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Enterprise Tech / Data Management

The real-time database management market is a solution for organizations that require instant access to data across billions of transactions. It offers predictable sub-millisecond performance up to petabyte-scale with five-nines uptime and globally distributed, strongly consistent data. Real-time database management systems enable organizations to make instant decisions, respond to events in real-…

Neo4j named as Leader among 13 other companies, including Amazon Web Services, Cloudera, and SingleStore.


Expert Collections containing Neo4j

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Neo4j is included in 2 Expert Collections, including Unicorns- Billion Dollar Startups.


Unicorns- Billion Dollar Startups

1,214 items


Tech IPO Pipeline

825 items

Neo4j Patents

Neo4j has filed 15 patents.

The 3 most popular patent topics include:

  • graph databases
  • database management systems
  • free database management systems
patents chart

Application Date

Grant Date


Related Topics




Healthcare management, Free database management systems, Database management systems, Graph databases, Structured storage


Application Date


Grant Date



Related Topics

Healthcare management, Free database management systems, Database management systems, Graph databases, Structured storage



Latest Neo4j News

Neo4j and AWS team up to enhance generative AI applications with graph database technology

Nov 21, 2023

Neo4j and AWS team up to enhance generative AI applications with graph database technology SHARE Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the capabilities of their generative artificial intelligence models. The idea is to combine knowledge graphs with native vector search in order to reduce the occurrence of so-called “hallucinations,” while ensuring models become more accurate, transparent and explainable. The partnership will also solve headaches around the need for long-term memory for large language models trained on specific enterprise datasets. Together with the collaboration, Neo4j is launching Neo4j Aura Professional , its fully managed graph database platform, in the AWS Marketplace. Generally available starting today, it will enable companies to get started with the Neo4j database much more rapidly, the company said. Neo4j’s platform is different from traditional database platforms. Rather than storing data in tables that consist of rows and columns, it relies on graph structures made up of nodes, edges and properties to represent and store information. The advantage of this format is that data retrieval is much easier, and can be done in a single operation in most cases. One of the biggest advantages of Neo4j is its native vector search capabilities, which allow unstructured information such as images and written notes to be stored as vector embeddings that capture both explicit and implicit relationships and patterns. Using these systems, AI can retrieve and harness a much wider variety of data to enhance its ability to reason and infer. Neo4j says these capabilities make its database ideal for grounding LLMs, while at the same time acting as a long-term memory store to enable more accurate, explainable and transparent outcomes for generative AI systems. As part of the collaboration with AWS, Neo4j is integrating its platform with Amazon Bedrock, which is a fully managed service that makes foundational LLMs from third-parties accessible to AWS users. It has also created a reference architecture (pictured) that joint customers can use to access a catalog of models via application programming interfaces and use them as the foundation for AI applications. Some of the benefits claimed by the company include a reduction in hallucinations, which is when AI fabricates its responses. Companies can use a technique called Retrieval Augmented Generation, where LLMs can tap into their proprietary data to create virtual assistants grounded in enterprise knowledge. They’ll also be able to create more personalized experiences and deliver more complete answers by leveraging real-time search so their models are always up to date. Finally, the company said customers will now be able to leverage their unstructured data, processing it so that it becomes structured through its knowledge graphs and vector embeddings. Once this data is safely stored in a knowledge graph, AI models can tap into it for training and inference purposes. “With Neo4j’s graph database and Amazon Bedrock’s integration, we aim to provide customers sophisticated options to deliver more accurate, transparent, and personalized experiences for their end-users in a fully managed manner,” said Amazon Bedrock General Manager Atul Deo. Image: Neo4j A message from John Furrier, co-founder of SiliconANGLE: Your vote of support is important to us and it helps us keep the content FREE. One click below supports our mission to provide free, deep, and relevant content.

Neo4j Frequently Asked Questions (FAQ)

  • When was Neo4j founded?

    Neo4j was founded in 2007.

  • Where is Neo4j's headquarters?

    Neo4j's headquarters is located at 111 East 5th Avenue, San Mateo.

  • What is Neo4j's latest funding round?

    Neo4j's latest funding round is Series F - II.

  • How much did Neo4j raise?

    Neo4j raised a total of $581.1M.

  • Who are the investors of Neo4j?

    Investors of Neo4j include One Peak Partners, Alanda Capital Management, Inovia Capital, Creandum, Heartcore Capital and 15 more.

  • Who are Neo4j's competitors?

    Competitors of Neo4j include TigerGraph, Katana Graph, Ontotext, Slingshot Simulations, Zilliz and 7 more.


Compare Neo4j to Competitors

TigerGraph Logo

TigerGraph provides a native complete, distributed, and parallel graph database platform. It specializes in connecting data assets to deliver enterprise-level knowledge and insights. It was formerly known as GraphSQL. The company was founded in 2012 and is based in Redwood City, California.


SequoiaDB operates as a software development company. It offers database software designed to offer distributed database access for enterprises. The company was founded in 2011 and is based in Guangzhou, China.

DGraph Logo

DGRaph Labs operates as an open-source, low-latency database platform. It develops for real-time, low-latency, and high throughput query flow. It helps to meet the needs of small startups and large companies with data and handles terabytes of structured data running on commodity hardware with low latency for real-time user queries. The company was founded in 2016 and is based in Palo Alto, California.

Objectivity Logo

Objectivity is a company that specializes in NoSQL and graph databases within the data management and analytics industry. The company's main offerings include enterprise database software platforms that power critical, operational data and sensor fusion systems, enabling real-time data and graph analytics. These services primarily cater to sectors such as government, manufacturing, healthcare, and telecommunications. It is based in Sunnyvale, California.


Cassandra stores your sheets of paper, and hands you the documents you want - in a matter of seconds.

InfluxData Logo

InfluxData focuses on time series data management in the technology sector. The company offers a platform, InfluxDB, that allows users to collect, store, and analyze time series data at any scale, providing real-time insights. The platform is used across various industries such as manufacturing, telecommunications, energy, and utilities. InfluxData was formerly known as Errplane. It was founded in 2012 and is based in San Francisco, California.


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