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3 Latest Announced Rounds

  • $3,500,000
    Seed

    1 Investors

    Technology, Information and Internet
    Dec 20th, 2024
  • $5,619,170
    Series B

    1 Investors

    Research Services
    Dec 20th, 2024
  • $8,000,000
    Unknown

    5 Investors

    Computer & Network Security
    Dec 20th, 2024
$671.88M Raised in 44 Funding Rounds in the past 7 Days - View All

Funding Round Profile

Dgraph Labs

start up
United States - San Francisco, CA
  • 20/07/2022
  • Seed
  • $6,000,000

Dgraph is an open source, low-latency, high throughput, native and distributed graph database.

Designed to easily scale to meet the needs of small startups as well as large companies with massive amounts of data, Dgraph can handle terabytes of structured data running on commodity hardware with low latency for real time user queries.

It addresses business needs and uses cases involving diverse social and knowledge graphs, real-time recommendation engines, semantic search, pattern matching and fraud detection, serving relationship data, and serving web apps.


Related People

Akon DeyFounder

Akon Dey United States - San Francisco Bay Area

An experienced, versatile Technology Leader with over 25 years experience in R&D building cutting-edge technologies in the United States, Australia and India. An entrepreneur, who has worked in global, highly collaborative organizations including startups as well as large corporations. Successfully driven product development organizations to build OLTP, OLAP, data-warehouse, big-data analytics, and real-time systems, including cloud/cluster infrastructure, data repositories with scalability and high-availability. Proven technical expertise in solving problems related to database systems and big data, low-latency and stream processing database systems with clustered and large scale distributed architectures.

Specialties: Big Data, Hadoop, MapReduce, Clusters, Data Stream Processing, Object Oriented Databases, Database Internals, OLTP, OLAP, Compilers, Database Query Engine, Object Oriented Software Development, Massively Parallel and Highly Scalable Distributed Systems, Databases, Analytics, Cloud Infrastructure, User Experience Design, User Interfaces, Storage, Real-time Systems, High Availability, Systems Management, and Diagnostic Infrastructure & Tools.