Nov
01
2018
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Neo4j nabs $80M Series E as graph database tech flourishes

Neo4j has helped popularize the graph database. Today it was rewarded with an $80 million Series E to bring their products to a wider market in what could be the company’s last private fundraise.

The round was led by One Peak Partners and Morgan Stanley Expansion Capital with participation from existing investors Creandum, Eight Roads and Greenbridge Partners. Today’s investment exactly doubles their previous amount bringing the total raised to $160 million.

Neo4j founder and CEO Emil Eifrem didn’t want to discuss valuation, calling it essentially a vanity metric. “We’re not sharing that. I never understood that. It’s just weird bragging rights. It makes no sense to customers, and makes no sense to anyone,” he said referring to the valuation.

Graph view of Neo4j funding rounds. Graphic: Neo4j

When you bring a company like Morgan Stanley on as an investor, it could be interpreted as a kind of signal that the company is thinking ahead to going public. While Eifrem wasn’t ready to commit to anything, he suggested that this is very likely the last time he raises funds privately. He says that he doesn’t like to think in terms of how he will exit so much as building a good company and seeing where that takes him. “If your mental framework is around building a great company, you’re going to have all kinds of options along the way. So that’s what I’m completely focused on,” Eifrem explained.

In 2016, when his company got a $36 million Series D investment, Eifrem says that they were working to expand in the enterprise. They have been successful with around 200 enterprise customers to their credit including Walmart, UBS, IBM and NASA. He says their customers include 20 of the top 25 banks and 7 of the top 10 retailers.

This year, the company began expanding into artificial intelligence. It makes sense. Graph databases help companies understand the connections in large datasets and AI usually involves large amounts of data to drive the learning models.

Two common graph database use case examples are the social graph on a social site like Facebook, which lets you see the connections between you and your friends or the purchase graph on an Ecommerce site like Amazon which lets you see if you bought one product, chances are you’ll also be interested in these others (based on your purchase history and what other consumers have done who have bought similar products).

Eifrem wants to use the money to expand the company internationally and provide localized service in terms of language and culture wherever their customers happen to be. As an example, he says today European customers might get an English speaking customer service agent if they called in for help. He wants to provide service and the website in the local language and the money should help accomplish that.

Neo4j was founded in 2007 as an open source project. Companies and individuals can still download the base product for free, but the company has also built a successful and growing commercial business on top of that open source project. With an $80 million runway, the next stop could be Wall Street.

Sep
20
2018
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AI could help push Neo4j graph database growth

Graph databases have always been useful to help find connections across a vast data set, and it turns out that capability is quite handy in artificial intelligence and machine learning too. Today, Neo4j, the makers of the open source and commercial graph database platform, announced the release of Neo4j 3.5, which has a number of new features aimed specifically at AI and machine learning.

Neo4j founder and CEO Emil Eifrem says he had recognized the connection between AI and machine learning and graph databases for a while, but he says that it has taken some time for the market to catch up to the idea.

“There has been a lot momentum around AI and graphs…Graphs are very fundamental to AI. At the same time we were seeing some early use cases, but not really broad adoption, and that’s what we’re seeing right now,” he explained.

AI graph uses cases. Graphic: Neo4j

To help advance AI uses cases, today’s release includes a new full text search capability, which Eifrem says has been one of the most requested features. This is important because when you are making connections between entities, you have to be able to find all of the examples regardless of how it’s worded — for example, human versus humans versus people.

Part of that was building their own indexing engine to increase indexing speed, which becomes essential with ever more data to process. “Another really important piece of functionality is that we have improved our data ingestion very significantly. We have 5x end-to-end performance improvements when it comes to importing data. And this is really important for connected feature extraction, where obviously, you need a lot of data to be able to train the machine learning,” he said. That also means faster sorting of data too.

Other features in the new release include improvements to the company’s own Cypher database query language and better visualization of the graphs to give more visibility, which is useful for visualizing how machine learning algorithms work, which is known as AI explainability. They also announced support for the Go language and increased security.

Graph databases are growing increasingly important as we look to find connections between data. The most common use case is the knowledge graph, which is what lets us see connections in a huge data sets. Common examples include who we are connected to on a social network like Facebook, or if we bought one item, we might like similar items on an ecommerce site.

Other use cases include connected feature extraction, a common machine learning training techniques that can look at a lot of data and extract the connections, the context and the relationships for a particular piece of data, such as suspects in a criminal case and the people connected to them.

Neo4j has over 300 large enterprise customers including Adobe, Microsoft, Walmart, UBS and NASA. The company launched in 2007 and has raised $80 million. The last round was $36 million in November 2016.

Oct
24
2017
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New Neo4J platform gives developers a set of tools for building enterprise graph applications

 Neo4j builds tools for creating graph databases, and today at its GraphConnect conference in New York City, it announced a new platform for developers to build graph-based applications using a common set of services.
Emil Eifrem, Neo4j co-founder, says while the concept of graph databases has steadily gained popularity in recent years, the databases need to connect to various enterprise systems. Read More

Jan
15
2015
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Neo Technology Bags $20M As Graph Databases Get Hot

Graph Databases book from O'Reilly. Neo Technology, developers of the neo4j graph database have been growing steadily, and investors have noticed, rewarding them with a $20M Series C pay day. Creandum led the round joined by Dawn Capital and current investors Fidelity Growth Partners Europe, Sunstone Capital and Conor Venture Partners. The company’s last funding round was in November, 2012 for $11M, and this latest… Read More

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