List of NebulaGraph DB Customers
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United States
Since 2010, our global team of researchers has been studying NebulaGraph DB customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased NebulaGraph DB for Open-Source Database from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using NebulaGraph DB for Open-Source Database include: Snap, a United States based Media organisation with 5367 employees and revenues of $4.60 billion, Airwallex, a Singapore based Professional Services organisation with 1400 employees and revenues of $400.0 million, Akulaku Inc, a Philippines based Professional Services organisation with 812 employees and revenues of $240.0 million and many others.
Contact us if you need a completed and verified list of companies using NebulaGraph DB, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The NebulaGraph DB customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Airwallex | Professional Services | 1400 | $400M | Singapore | NebulaGraph | NebulaGraph DB | Open-Source Database | 2024 | n/a | In 2024, Airwallex implemented NebulaGraph DB as an Open-Source Database to support KYC, real-time transaction correlation, model feature extraction, and visualization across its cross-border payment platform. The deployment targeted Australia and global operational coverage, explicitly aligning the graph database with fraud and compliance controls and real-time risk model inputs. NebulaGraph DB was configured to persist graph-native relationships and serve real-time feature extraction for risk scoring and anomaly detection workflows. Implementation emphasized graph query performance and streaming-friendly feature pipelines, enabling feature materialization for model consumption and visualization layers for investigative workflows. Operational scope centered on fraud, compliance, and risk analytics teams, with NebulaGraph DB embedded into transaction surveillance and KYC workflows across the payments stack. The implementation connected graph-derived signals to model feature stores and visualization consumers to support transaction correlation and investigator triage. The project delivered improved stability and enabled real-time feature extraction for Airwallex risk models and anomaly detection, strengthening fraud and compliance control capabilities on the cross-border payments platform. Governance focused on operationalizing graph-derived features for production models and supporting investigator visualization use cases. | |
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Akulaku Inc | Professional Services | 812 | $240M | Philippines | NebulaGraph | NebulaGraph DB | Open-Source Database | 2023 | n/a | In 2023, Akulaku Inc deployed NebulaGraph DB as an Open-Source Database to build a real time intelligent risk control and anti fraud platform. The NebulaGraph DB implementation targeted Akulaku's fintech and e commerce services across Southeast Asia and was positioned to support operational fraud detection and transaction monitoring functions. The deployment replaced a Neo4j based architecture and was sized to scale to billions of vertices and tens of billions of edges. Implementation work focused on high throughput data import and query layers, explicitly improving import performance and query throughput while enabling real time graph algorithms for fraud detection and link analysis. Functional capabilities implemented around NebulaGraph DB included high velocity data ingestion, graph query execution, algorithmic graph analytics, and real time risk scoring to feed investigation and automated control workflows. NebulaGraph DB was used to power graph analytics and detection pipelines connected to Akulaku's transaction streams and fraud operations. Operational coverage centered on risk control, fraud investigation, and transaction monitoring across the companys Southeast Asia markets, with governance oriented to embed graph based detection into existing risk processes and operational workflows. Documented outcomes from the rollout emphasized improved import performance, higher query throughput, and the ability to run real time graph algorithms for fraud detection using NebulaGraph DB. | |
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Snap | Media | 5367 | $4.6B | United States | NebulaGraph | NebulaGraph DB | Open-Source Database | 2023 | n/a | In 2023, Snap adopted NebulaGraph DB to power friend-recommendation and other large-scale social graph workloads on Snapchat. NebulaGraph DB was deployed as an Open-Source Database to provide low-latency graph serving and large-scale graph storage for social recommendation functions. The implementation centered on multi-terabyte graph ingestion pipelines, graph query processing, and persistent graph storage optimized for traversal and neighborhood queries. NebulaGraph DB supported real-time graph lookups for friend-recommendation workflows and batch ingestion for large-scale user and relationship updates. The deployment in the United States enabled ingestion of multi-terabyte graphs while targeting Snapchat social graph workloads. Operations were handled on Kubernetes, simplifying cluster provisioning, scaling, and lifecycle management for the graph database layer. Snap reported p90 query latency under 20ms and 99.95% availability for the NebulaGraph DB environment, and stated the deployment improved performance and lowered infrastructure cost. Governance emphasized Kubernetes-based operational automation and centralized graph serving for recommendation use cases. |
Buyer Intent: Companies Evaluating NebulaGraph DB
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