NEO graph database Neo4j received $10.6 million billion in funding

Graph database is a professional non-mainstream database, but non-SQL database is gradually recognized by the mainstream. Neo4j, the open-source database of NeoTechnology, received $10.6 million in funding, is the latest evidence. The Fund was provided by a venture capital company headed by FidelityGrowthPartners, which was also the first venture capital company to invest in financing.

Graph database is a professional non-mainstream database, but non-SQL database is gradually recognized by the mainstream. Neo4j, the open-source database of Neo Technology, is the latest evidence of $10.6 million in financing. The venture capital, headed by Fidelity Growth Partners, is also the first venture capital company to invest in funding.

Graph database is a professional non-mainstream database, but non-SQL database is gradually recognized by the mainstream. Neo4j, the open-source database of Neo Technology, is the latest evidence of $10.6 million in financing. The Venture Capital, headed by Fidelity Growth Partners, was the first Venture Capital to invest in the Venture Capital, and involved Venture Capital firms included seed investor Sunstone Capital and Conor Venture Partners.

Non-SQL databases are widely used, but document-oriented databases (such as MongoDB and CouchDB) and key-value databases (such as Cassandra) are usually eye-catching ), because these databases deal with problems such as scale, speed, and flexibility, these are the focus of web companies and large companies.

However, graph databases also have their own characteristics. Graph database is dedicated to finding the relationships between different data. Its main application case is social graphs. Graph databases can analyze terabytes of graph data and maintain relationships between data, even if data and relationships are constantly changing.

In addition to Neo4j, graph database products include GoldenOrb of the startup company Ravel Data and InfiniteGraph of objecti.pdf, which has rich experience in the non-SQL field. However, the popularity of graph databases mainly depends on some large network companies. Google has Pregel and Twitter has FlockDB.

Translated by: 36kr

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