The World’s Most Capable Graph Database, NebulaGraph Database, Debuts for Unmatched Big Data Analytics Discovery
HANGZHOU, China – June 29, 2020 – NebulaGraph Database™ is now commercially available as the only database that can store and process billions of data points with trillions of relational connections in a shared-nothing distributed architecture for the industry’s best business continuity. This makes it the highest performing graph database in the world. It is designed to meet the biggest data information discovery needs of the world’s largest businesses.
Earlier this month NebulaGraph Database raised $8M in a series pre-A funding round. The lead investor was Redpoint China Ventures. Matrix Partners China, who previously contributed as an angel investor, also contributed to this series pre-A round.
NebulaGraph Database is an open-source graph database. It was developed by VEsoft Inc. engineers. The team collectively has many years of leadership experience at some of the world’s most recognizable technology companies, such as Alibaba, Facebook, Huawei, and IBM.
NebulaGraph Database Advantages
NebulaGraph Database adopted an open source distributed architecture. This is a strength allowing it to securely process data sets with more capable performance compared to any competing graph database. This makes it the most capable big data analytics database in the world.
NebulaGraph Database’s distributed high-availability architecture is also designed for scalability and recovery without disruption, ensuring the best business continuity. This deployment model and architecture make it the most reliable graph database in the world.
In addition, NebulaGraph Database created its nGQL programmable query language. It is very much like the common SQL query language but designed for graphs. So, this helps ensure there is little learning curve to get started. NebulaGraph Database is also provided with NebulaGraph Database Studio, a visualization application that combines data imports with graph exploration. This delivers a better understanding of data over textual formats.
The Graph Database Market and Applications
Graph databases are disrupting the billion-dollar market for the traditional Relational Database Management System (RDBMS). This is because large organizations today require big data and business analytics exceeding RDBMS capabilities. NebulaGraph Database has been launched for this purpose.
Graph databases are different from RDBMS databases because they store deep relationship characteristics about data within data itself. A graph database can efficiently manage millions of transactions or more and uncover how data sets relate to each other.
NebulaGraph Database is ideal for a CIO seeking to uncover the value of connected business data. Data Architects are another ideal user, who typically look to process connected data cost-effectively. Finally, Data Scientists will find it useful to explore the value buried in connected data.
NebulaGraph Database Real-World Usage
There are many markets that have large amounts of meaningless information stored in separate silos, ideal for NebulaGraph Database to mine it for meaningful results. This is true from finance, healthcare, and government agencies to Internet-of-Things (IoT), artificial intelligence (AI), and more. Because of NebulaGraph Database’s proven capabilities, some of the world’s leading Internet properties are already using it in their real-world applications.
Xiaohongshu, a large user-generated-content community (UGC community) in Asia has countless relationships on the platform, from followers to likes. They use NebulaGraph Database for anti-fraud in their marketing. It prevents fraudulent users from stealing coupons to resell them. They also use it to detect bots and bot content. Youzan is a popular Asia-based ecommerce platform selling a variety of products. They are using NebulaGraph Database as a real time product recommendation engine. Finally, Qichacha is a popular business information inquiry platform. The company is using NebulaGraph Database to discover insider trading transactions.
NebulaGraph Database Pricing and Availability
NebulaGraph Database has been beta mode. NebulaGraph Database v1.0 is now commercially proven and immediately available under Apache 2.0 licensing in the open source community. Plans are that, at some point, it will also be made available as a cloud service. It is currently available to businesses in North America, Europe, and Asia.
About vesoft, Inc.
VEsoft Inc. has created NebulaGraph Database, the world’s most capable database for big data analytics discovery. NebulaGraph Database provides an industry-best capability of storing and handling billions of vertices and trillions of edges, with just milliseconds of latency. Its shared-nothing deployment architecture, removing any single point of failure and allowing fast recoveries, enables the industry’s best business continuity. The company has secured $8 million in a series pre-A funding from investors that include RedPoint China Ventures as the lead and Matrix Partners China, which previously contributed as an angel investor. To learn more, visit https://nebula-graph.io/.
Note: Whether noted or not, references to certain words may be trademarks or registered trademarks of their respective owners.
Qian Yong, Graph Tech team leader at JD Digits (NASDAQ:JD)
“JDD used to use Janus Graph as its graph platform. The main problem with Janus Graph was slow read and write capability as well as an inactive community. The bug fixes were slow to come and the experience was not good. Then we encountered NebulaGraph Database when looking for new graph database solutions. JDD immediately joined the community and partnered with the NebulaGraph Database team. We have worked together and developed many features. With the highly performant distributed storage and query capabilities of NebulaGraph Database, JDD is able to dig up the most important connections from our super large amounts of business data, which benefits both internal and external businesses. We have been migrating our graph related projects from Janus Graph to NebulaGraph Database.”
Zhao Dengchang, the AI platform expert at Meituan (3690.HK)
“Before we found NebulaGraph Database, we had tried many well-ranking graph databases on db-engines.com, including Neo4j, Janus Graph, and Dgraph. However, our project was not able to go live because these solutions couldn’t meet our requirements from both a scalability and performance point of view. Then we found that NebulaGraph Database is neatly designed and scalable. In addition, it is written in C++ and highly performant. NebulaGraph Database is built distributed. Also, the team is excellent and capable. We have worked with them and solved so many problems and finally improved the performance much higher than we had expected. We have set up a graph platform based on our existing infrastructure for easier business access. Currently we are working closely together, hoping to migrate more knowledge graph projects to NebulaGraph Database.”
Chen Qi, the Data Platform expert at YouZan (8083.HK)
“There are tremendous advantages in graph-based risk management and recommendation solutions compared to traditional ones. Thanks to the innovative capabilities enabled by the graph technology, we have found a bunch of new growing opportunities. Therefore, we have been looking for highly performant open source graph databases based on our requirements of high throughput and low latency. After a thorough comparison among multiple solutions including NebulaGraph Database, Neo4j, Dgraph, and JanusGraph, we finally chose NebulaGraph Database because first, the scalable distributed architecture can avoid capacity bottlenecks for business growth. Second, the performance of NebulaGraph Database meets our expectations better than the other candidates. And third, the community is quite active and responsive when we have encountered any problems.”
Zheng Wenyu, the Knowledge Graph Algorithm expert at Suzhou Langdong Network Technology Co., Ltd (Qichacha)
“The graph database technology is perfect as the infrastructure for the typical knowledge graph scenarios like enterprise graph, supply chain, and enterprise knowledge graph based on the relationships among enterprises. At the very beginning, we adopted a well-known single-host graph database which did support our rapid business growth in our early stage. However, our business data scaled rapidly and the original solution fell short in both scalability and timeliness. We have been keeping a close eye on NebulaGraph Database ever since its beta launch back in May 2019 and found that the distributed architecture meets our business requirements perfectly. Plus the project has iterated fast. After a few months of trial and profiling, NebulaGraph Database has substituted the original solution in most of our internal business units. We plan to migrate more businesses to NebulaGraph Database in the future as soon as the OpenCypher compatibility is ready.”
Chuixue, head of the anti-cheat and risk control algorithm at xiaohongshu (RED)
“I have a graph, a red graph. There are a lot of graphs that exist in xiaohongshu as an online community. They decipher the connections between users and notes, followings among users, transaction relationships, etc. A traditional RDBMS cannot efficiently support the graph storage and online queries at xiaohongshu. I have done my research on many graph databases out there on the market. Some just hope for Moore’s law and some just cannot meet our performance requirements. The reasons we chose NebulaGraph Database include that we believe that the NebulaGraph Database team has the deepest understanding of the graph database industry because they have tremendous experience in real-time recommendations, search, and risk control. In addition, the core architecture provides cluster-level scalability and supports super-scale datasets perfectly. It’s worth mentioning that NebulaGraph Database has realized Reservoir Sampling to solve the super nodes problem in the graph world per xiaohongshu’s request. We are protecting the Red Graph community with NebulaGraph Database, the underlying risk control weapon. Meanwhile we are adopting NebulaGraph Database in other business units.”