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Neo4j
A graph database platform that helps companies analyze connections inside high volumes of changing data, relational, key-value, and document databases.

Revenue

$100.00M

2022

Revenue

Neo4j is the #1 most deployed graph database platform in the world doing about $100M per year. They’re arming enterprises with the ability to deploy the kinds of data models pioneered at companies like Facebook, LinkedIn, Airbnb, Dropbox and Google to handle huge amounts of linked, complex data.

Since Neo4j was founded, Amazon (Amazon Neptune), Microsoft (Microsoft Azure Cosmos DB), Oracle (Oracle Big Data Spatial and Graph), IBM (IBM Graph) and SAP (HANA) have all launched their own competing graph databases.

Valuation

Neo4j is currently valued at over $2 billion. The company has raised a total of $581.1 million across 10 funding rounds. Notable investors include Eurazeo, which led the Series F round, GV (formerly Google Ventures), and One Peak Partners. Their investor base also includes established firms like Creandum and Greenbridge Partners, along with newer investors DTCP and Lightrock. Neo4j's most recent expansion came through their Series F-II round, which included participation from Inovia Capital and Alanda Capital Management.

Product

What makes graph databases useful is that for any node in a dataset—like a user account, a past purchase, or a credit card number—they allow you to quickly and efficiently traverse and read from all the nodes that have some relationship with it. In a relational database, doing that requires writing a series of slow, memory-intensive joins.

This is why social networks like Facebook and LinkedIn were built on graph databases. It's also why, in recent years, they have become popular for machine learning, recommendation algorithms, and fraud detection.

Neo4j is open source and drives most of its revenue from AuraDB, which is a fully managed service version of its product that is deployable via AWS or Google Cloud. AuraDB is a subscription-based service that charges based on the amount of storage used.

On top of AuraDB, theyʼre launching different vertical solutions and building an ecosystem of software and services (with the potential for premium pricing) to help teams solve specific problems with their graph databases, which today includes:

  • Neo4j Graph Data Science: Machine learning and analytics suite
  • Neo4j Bloom: Data visualization
  • Neo4j Developer Tools: Database browsing and localized editing
  • Neo4j GraphQL Library: API development

Neo4jʼs growth to date reflects the extent to which enterprise businesses across different industries have started investing in personalization, analytics, and artificial intelligence. Neo4j has over 1,000 customers including Pfizer, PepsiCo, the WHO, CNN, BMW Group, Comcast, NASA, UBS, and Volvo Cars. More than 75% of the Fortune 100 is using Neo4j.

Competition

Since Neo4j was founded, Amazon (Amazon Neptune), Microsoft (Microsoft Azure Cosmos DB), Oracle (Oracle Big Data Spatial and Graph), IBM (IBM Graph), and SAP (HANA) have all launched their own competing graph databases.

Today, Neo4j is overall only the 19th most deployed database platform in the world, behind relational platforms like Oracle (#1) document-based platforms like MongoDB (#5) and

None

While graph databases were designed for analyzing the connections inside high volumes of changing data, relational, key-value and document databases are still faster at writing information to databases and for use cases like storing time-series, logs, or large chunks of content.

The most likely outcome is that graph databases continue to exist alongside other databases that are better at other tasks. For example, you might run your ecommerce storeʼs product catalog on a document database like MongoDB, your cart on Redis, and your recommendation algorithm on Neo4j—with each one syncing up with the others.

TAM Expansion

About five database companies have crossed $100 million ARR—MongoDB, Redis, Couchbase, Datastax, and Neo4j. Graph databases, however, have been the fastest growing database category of the last decade, by a significant margin.

None

Neo4jʼs key bet is on the continued growth of workloads involving complex relationships between nodes. The tailwinds behind the biggest use cases for Neo4j today, are significant:

Fighting financial fraud: Fintechs raised $134 billion in 2021, up 67x from $2 billion a decade ago. As fintech grows, it means more transaction volume, more participants, and greater need for compliance and risk management solutions

Recommendation engines: COVID grew the ecommerce market in the U.S. by 50% from $578 billion per year to $870 billion per year, accelerating the ongoing digitization of retail—and driving more retailers to find ways to adapt and grow online

Cybersecurity: Cybercrime losses are growing 15% year-over-year, on track to hit $10.5 trillion by 2025, and VCs invested $11.5 billion in cybersecurity startups in 2021. The ability of security teams to efficiently sift through their data for risks is becoming increasingly important.

Broader tailwinds include the continued expansion of the overall database and NoSQL markets: companies spent $50 billion on database software in 2021, a figure expected to double over the next three years.

The primary growth dynamic for Neo4j to continue to expand is customers of their managed AuraDB service growing the workloads they run through Neo4j and adding additional workloads over time, growing their spend and lock-in, both via the core product and the vertical solutions they sell on top.

Funding Rounds

Share Name Issue Price Issued At
Series F $13.10 Nov 2021
Share Name Issue Price Issued At
Series E-2 $4.65 Nov 2018
Series E $2.71 Nov 2018
Share Name Issue Price Issued At
Series D $1.54 Nov 2016
Share Name Issue Price Issued At
Series B-2 $1.09 Jan 2015
Series B $0.9405 Nov 2012
Series B-1 $1.0868
Share Name Issue Price Issued At
Series A-3 $0.6324 Sep 2011
Series A-2 $0.6052 Sep 2011
Series A-1B $0.32 Sep 2011
Series A-1A $0.32 Sep 2011
Series A-1 $0.315
View the source Certificate of Incorporation copy.

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