We’re thrilled to announce that Vesoft for its NebulaGraph, a leading [open-source distributed graph database](https://www.nebula-graph.io/) renowned for its exceptional management capabilities of datasets containing hundreds of billions of vertices and trillions of edges, has been recognized in the Gartner® Market Guide for Graph Database Management Systems as a Representative Vendor.

Graph databases are specialized systems in which interconnected data entities are stored as vertices, and their relationships as edges. This structure allows high-performance retrieval and querying. Given their superior query performance, flexible data structure, and intuitive presentation compared to traditional relational databases, graph technology is rapidly becoming essential in intelligent analysis and AI machine learning.

# Rapid Surge of Graph Technology

According to Gartner, “Based on the increasing usage, popularity and maturity of graph, Gartner estimates that the market for graph technologies, including graph database management systems (DBMSs), will grow to $3.2 billion by 2025 with a CAGR of 28.1%."
As a trailblazer in native distributed graph databases, NebulaGraph boasts a foundational storage architecture advantage. Its native graph storage ensures swift, real-time traversal of densely interconnected data, while its shared-nothing design guarantees scalability. Particularly in scenarios such as real-time recommendations and financial risk management, NebulaGraph empowers businesses to handle expansive and intricate datasets efficiently, promising real-time traversal query performance even amidst rapidly expanding data volumes.

# Standardizing Graph Query Languages

The establishment of a concise and standardized query language plays a pivotal role in optimizing the user experience of a database. Intense competition among [graph database query languages](https://www.nebula-graph.io/posts/graph-query-languages-you-should-know) has spurred significant product enhancements and continuous improvements, notably evidenced by the emergence of the GQL standard.

According to the research, “The longtime competition among languages has been a challenge. However, it has also resulted in both significant enhancements to product capabilities and continuing efforts to promote standards such as GQL. Vendors are supporting GraphQL as an API so that developers can access the graph data model without learning SPARQL or Gremlin to build queries. Moreover, vendors of RDF graph DBMSs are adding support for openCypher or Gremlin to support graph traversal." 

The eagerly awaited ISO/IEC Graph Query Language (GQL) and the associated SQL-to-property Graph (SQL/PGQ) standards—rare developments in decades—are poised to elevate graph database product usability. A multitude of vendors, including prominent enterprise database providers, are actively investing in this groundbreaking initiative. Notably, NebulaGraph stands out for its dedicated strides in advancing GQL-compatibility, with upcoming versions set to embrace the core features of GQL.

Cloud Platforms Propel the Growth of the Graph Database Industry
Gartner says, “Interest in and use of graph have been increasing steadily. In 2020 and 2021, inquiries to Gartner data management analysts about graph rose substantially. “ With consistent revenue and channel growth, graph databases are drawing increased interest from vendors, a trend accelerated by cloud deployments. Cloud Service Providers (CSPs), like other DBMS market trailblazers, are incorporating graph functionalities into their databases and presenting competitive products.

” Gartner expects the percentage of revenue attributable to cloud in the overall DBMS market to exceed 50% by 2023” in the research. This overarching trend in the global database market is becoming distinctly visible in the cloud database sector.

NebulaGraph has been seamlessly integrated with platforms like Alibaba Cloud, Azure, and AWS, simplifying database deployment, performance optimization, and maintenance. As tools facilitating data migration from relational sources or rival graph vendors proliferate, end-users are keen on repurposing their existing data. The participation of cloud platform providers is set to lure a more expansive user base, recognizing the cloud as an ideal experimental platform.

# NebulaGraph: Crafting a Superior Native Graph Database

Graph databases can be bifurcated into Native DBMSs and Multi-model DBMSs. “Both native and multimodel graph databases can scale to meet enterprise production requirements, including stability, availability and security. However, native graph DBMSs offer performance gains when dealing with queries over very large graphs (typically billions of nodes).”

Moreover, NebulaGraph has tailored its offerings to domestic 
environments and fine-tuned for ARM hardware, ensuring unwavering performance. Hardware acceleration and hardware-based graph computation herald significant performance boosts. Cloud platforms, compared to private user deployments, are more inclined to adopt these enhancements. NebulaGraph's native integration with Amazon's renowned Deep Graph Library (DGL) furnishes users with an all-encompassing toolkit for graph storage, computation, and learning.

We believe being recognized in Gartner's Market Guide for Graph Database Management Systems symbolizes the industry's endorsement of NebulaGraph. As data scale and complexity surge in the future, the merits of graph data technology will become even more pronounced. NebulaGraph is unwavering in its dedication to continually honing its graph database product capabilities, striving to help more users extract the profound, interconnected value from their data.

For further information, please visit NebulaGraph or contact us to get a customized solution for your organization.

**Reference**:

 [1] Gartner, "Market Guide for Graph Database Management Systems", Merv Adrian, Afraz Jaffri, 30 August 2022.

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*Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.


We’re thrilled to announce that Vesoft for its NebulaGraph has been recognized in the Gartner® Market Guide for Graph Database Management Systems as a Representative Vendor.

Vesoft (NebulaGraph) Recognized in the Gartner® Market Guide for Graph Database Management Systems

Recently, NebulaGraph Enterprise Edition (v3.5.0) was officially launched. This native distributed graph database has the impressive capability of handling billions of nodes and trillions of edges while maintaining query latency of millisecond-levels. The new version emphasizes the optimization of the database kernel's query performance and stability and comprehensively upgrades the built-in visualization and discovery tools like NebulaGraph Explorer and NebulaGraph Dashboard, making them more user-friendly.

# Enhanced Querying Efficiency: Improved Performance

NebulaGraph has a unique storage-compute separation design and native distributed architecture, facilitating real-time exploration of massive data sets. The new version v3.5.0 further enhances the reliability and stability of the distributed system, improving the query performance significantly. 

Additionally, data import capabilities and full-text index functions have been optimized to better support full-text retrieval, word segmentation, and match return. 

With these improvements, NebulaGraph is equipped to handle real-time processing of complex large-scale data for various business scenarios, such as financial risk control, production management, fraud detection, intelligent Q&A, and investment analysis. It is also suitable for organizing massive industry knowledge graphs and performing AI large-scale model training and multi-type industry intelligence applications.

# Lower User Threshold: Visual Querying with No Code Required

NebulaGraph Explorer is a visual graph data exploration tool based on the NebulaGraph kernel. It supports quickly finding friend relationships, analyzing suspicious targets, and executing graph computing analysis from complex relationships and large amounts of data. It displays graph data in a visual way, which can help you easily analyze and explore business data and quickly discover the association relationships in the data.

![NebulaGraph Explorer:2D/3D mode](https://www-cdn.nebula-graph.io/nebula-website-5.0/images/blogs/01.png)

- NebulaGraph Explorer supports 2D/3D visualization data exploration

In terms of data import, NebulaGraph Explorer supports you to import CSV format data into the NebulaGraph database in a visual way. Compared with the previous version, v3.5.0 newly supports cloud storage and SFTP types of data sources, making data import more flexible and convenient.

In terms of data exploration, the workflow function launched supports you to connect graph computing and graph querying in a drag-and-drop manner. You can perform complex graph computing in the visual interface, even if they do not understand the code, they can also achieve visual graph computing through simple clicks.

The new version v3.5.0 further optimizes the user experience of workflow and supports you to save the running results locally, which greatly reduces the time and energy required for you to prepare the environment. In addition, the new version also adds a pre-environment link detection to reduce the probability of runtime errors and greatly improve the usability of workflow.

# Simplified Operations Management: Clear Cluster Status

NebulaGraph Dashboard is a visual operations and maintenance tool developed based on the NebulaGraph kernel. In v3.5.0, NebulaGraph Dashboard has been upgraded for cluster monitoring and diagnostic analysis. The new version supports **customized monitoring panels**. You can select the data indicators displayed on the panel according to the business situation, without the need to switch back and forth between service monitoring and node monitoring. They can grasp the cluster running status on one screen.

![Dashboard: Customized metrics](https://www-cdn.nebula-graph.io/nebula-website-5.0/images/blogs/02.png)

- NebulaGraph Dashboard supports customized data indicators

To enhance the efficiency of database operations and maintenance management, the latest version has optimized and enriched the **Cluster Diagnostic Report**, providing an easily understandable overview of the cluster's health status, as well as detailed information on individual nodes, services, sessions, and configurations over a historical period. With this information, you can make recommendations for operations and maintenance, and monitor for potential cluster warnings, all with a clear and concise diagnostic report.

![Cluster diagnostic report](https://www-cdn.nebula-graph.io/nebula-website-5.0/images/blogs/03.png)

- NebulaGraph Dashboard supports cluster diagnostic reports, allowing you to monitor cluster status at any time

What's more, the new version v3.5.0 adds the **Slow Query Analysis** function. Through the visual background of NebulaGraph Dashboard, you can always know the basic information and execution time of the slow queries that have been run, which can help DBAs, data engineers, and other users quickly locate slow query statement analysis and performance problems during execution, to make targeted optimizations and further improve the efficiency of operations and maintenance.

NebulaGraph Dashboard also supports one-click deployment of the license management tool (License Manager, LM for short) in a visual way. You can perform LM operation and maintenance management in one place and get timely information about license usage to ensure the healthy operation of the NebulaGraph database kernel and its associated products.

To learn more about NebulaGraph Enterprise Edition, please visit the [**NebulaGraph website**](https://www.nebula-graph.io).



Native distributed graph database with more  user-friendly visualization and discovery tools.

NebulaGraph Enterprise v3.5.0 Released: Significant Query Performance Improvements for Intelligent Decisions and AI Applications

NebulaGraph, a leading graph database technology provider, today announced that it has joined the Linked Data Benchmark Council (LDBC) as an organizational member. LDBC is the official platform for international benchmarking of graph and RDF data.

NebulaGraph’s move to join the LDBC means it is taking another step toward participating in developing graph industry standards and specifications such as Graph Query Language (GQL), an upcoming International Standard language for property graph querying that is currently being created, as well as a series of linked data benchmarks. NebulaGraph is also to play a constructive role in data evaluation guidelines across multiple industries including finance, manufacturing, and internet of things.

“With the ongoing digital transformation, more and more enterprises around the world have large linked data that consists of hundreds of billions of vertices and edges. The LDBC sets global standards for evaluating graph database vendors’ ability to handle those data. NebulaGraph is proud to be part of the LDBC’s organizational members and we are excited about the prospect of working on global graph database standards and promoting the establishment of graph query language standards with the LDBC,” said NebulaGraph founder and CEO Sherman Ye.

The LDBC is a consortium comprised of industry-leading companies and organizations in the database management system industry. Their objective is to “establish an industry-neutral entity for developing graph and RDF benchmarks, auditing benchmark results, and publishing audited results.” 

The LDBC’s benchmark tests help graph database vendors identify weaknesses in their current architectures, identify problems in how they implement queries, and scale to solve common business problems. They can also help enterprises vet the performance of databases in a way that is relevant to common business problems they want to address.

Graph databases are involved in mapping the relationships between entities such as organizations, people, and transactions. Such technology could facilitate rapid contextualization for decision-making in 30% of organizations globally, according to market research firm Gartner.

NebulaGraph is an open-source graph database developed by Vesoft Inc. It is the world’s only large-scale graph database solution with a latency of milliseconds. Hundreds of enterprises around the world including Tencent, Meituan, JD Digits, and Kuaishou are already leveraging NebulaGraph technologies to boost their graph data processing capabilities.

# About Vesoft Inc.

Vesoft Inc. is the creator of NebulaGraph, the world’s most capable database for big data analytics discovery. NebulaGraph provides an industry-leading capability of storing and handling billions of vertices and trillions of edges, with just milliseconds of latency. Its shared-nothing deployment architecture removes any single point of failure and allows fast recoveries, enabling the industry’s best business continuity.

In June 2020, Vesoft secured $8 million Series Pre-A funding from investors led by RedPoint China Ventures and Matrix Partners China, which previously contributed as an angel investor. For more information, please visit [https://nebula-graph.io/](https://nebula-graph.io/).

NebulaGraph, a leading graph database technology provider, today announced that it has joined the Linked Data Benchmark Council (LDBC) as an organizational member. 

NebulaGraph joins LDBC to further the development of graph database international standards


![NebulaGraph Cloud is live on the Azure marketplace](https://user-images.githubusercontent.com/90186547/158126069-7b936ffd-0ed5-46eb-ad5e-4c6b4a131545.jpg)

We are thrilled to announce that NebulaGraph’s first cloud offering, NebulaGraph Cloud, is now available on the Microsoft Azure marketplace. Simply subscribe to the NebulaGraph Cloud service on the Azure marketplace for free and you can have a NebulaGraph cluster up and running in a matter of minutes.

NebulaGraph Cloud is a graph database as a service in the cloud that enables you to deploy NebulaGraph clusters without the hassle of managing infrastructure. The service is only available on the Azure cloud platform at the moment, but we already have plans to support other cloud vendors like Amazon Web Service (AWS) and Google Cloud Platform (GCP).

NebulaGraph is currently in public beta and it offers a generous discount of 70% off. The service provides an on-demand pricing model, which charges only for compute capacity and storage usage. With the 70% discount, you can set up a NebulaGraph cluster for as low as $0.35 per hour.

With NebulaGraph Cloud, you can create a graph database within minutes, and quickly expand computing and storage. It is also integrated with a wide range of Nebula visualization tools, including Nebula Dashboard and Nebula Explorer, which allow you to manage your clusters or play with your graph data in a web user interface. 

![NebulaGraph Cloud is now available on the Azure marketplace](https://user-images.githubusercontent.com/90186547/157793364-6cc9a797-7e98-4ef8-adc2-b2b7793f6987.png)

# Features

* ### Pay for what you use

With per-hour billing, you only pay for what you use. NebulaGraph Cloud allows you to choose different instance types and storage spaces for the Storage Engine and Query Engine upon creating the cluster. You can increase or decrease your compute capacity to meet the demands of your application and only pay for the instance you use.

![Pay for what you use](https://user-images.githubusercontent.com/90186547/157793532-53baf88d-9448-4245-acb3-873bbd1efc9c.png)

* ### A secure and intuitive management panel

NebulaGraph Cloud comes with an intuitive management panel that allows you to view your subscription information and logs, stop or transfer solutions (solution refers to the NebulaGraph database running on NebulaGraph Cloud), or scale in and out your cluster. The panel also supports a fine-grained access control. You can add database users with different role privileges to specific graph spaces to ensure your data security.

![A secure and intuitive management panel](https://user-images.githubusercontent.com/90186547/157793610-93592028-f61f-46d1-bd31-d157dda8abbd.png)

![A secure and intuitive management panel](https://user-images.githubusercontent.com/90186547/157793659-1bf2cad1-4452-4b87-9880-019f2a3af84a.png)

* ### Seamless visualization integrations

NebulaGraph Cloud offers an end-to-end solution: a distributed and extensible graph database, sophisticated tools to manage data, and efficient dashboards to import graph data and run queries. It comes with Nebula Studio, Nebula Explorer, and Nebula Dashboard. You can use them to easily import, explore and analysis your graph data, and manage your graph database clusters, bringing you a seamless cloud experience.

![Seamless visualization integrations](https://user-images.githubusercontent.com/90186547/157793723-59b536e5-ade4-4b18-b51a-0970816d295e.png)

![Seamless visualization integrations](https://user-images.githubusercontent.com/90186547/157793762-b91c131e-53d2-4645-b608-722ab67b11ff.png)

![Seamless visualization integrations](https://user-images.githubusercontent.com/90186547/157793807-b640fbfa-b912-4413-be88-d66d22a420bb.png)

* ### High availability and premium support

NebulaGraph clusters use Raft to implement data redundancy backup with multi-data center deployment to ensure the integrity of data, and the high availability of the cloud computing infrastructure and cloud servers. If you encounter any problems during use, you can quickly create a work order on your cloud management panel and a technical support specialist will help you solve your problem as soon as possible.

![High availability and premium support](https://user-images.githubusercontent.com/90186547/157793861-0810129e-b662-45a2-bf0d-4183662c2ada.png)

# Lock in your beta pricing

You can now enjoy an exclusive discount of **70% OFF** during the public beta( from February 10, 2022 to March 31, 2022 ), with the lowest configuration price being about $0.35/hour!

The good news is that all beta users will enjoy the discounted pricing forever, even after the beta!

![Lock in your beta pricing](https://user-images.githubusercontent.com/90186547/157793938-9929805a-8612-494e-b0e7-21b74a8e19d5.png)

This picture provides an overview of different instance types and the pricing. For more details about all plans and prices, please visit our [Azure marketplace lising page](https://azuremarketplace.microsoft.com/en-us/marketplace/apps/vesoftcompanylimited1625556994617.nebula_graph_cloud?tab=PlansAndPrice).

# How can I get started?

Step 1: In [Azure Marketplace](https://portal.azure.com/?l=en.en-us#blade/Microsoft_Azure_Marketplace/GalleryMenuBlade/selectedMenuItemId/home), search for NebulaGraph Cloud in the search bar on the top, and you will see [NebulaGraph Cloud](https://portal.azure.com/#create/vesoftcompanylimited1625556994617.nebula_graph_cloud/preview) showing in the results. Or you can directly click NebulaGraph Cloud to enter the subscription page.

Step 2: Select a configuration according to your own needs and click **Set up + subscribe**.

For details, please see our docs: https://docs.nebula-graph.io/2.6.2/nebula-cloud/1.what-is-cloud/

If you have anything questions, please start a discussion via [Slack](https://app.slack.com/client/TJB3N2BPD/CJNFUM7AR) or email [inquiry@vesoft.com](inquiry@vesoft.com) to talk to our cloud specialists.

NebulaGraph Cloud is live on the Azure marketplace now! It is a cloud service for NebulaGraph that can quickly expand computing, storage and other resources. In Beta, a special 70% off discount is offered for new customers.

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