List of Memgraph Database Customers
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Since 2010, our global team of researchers has been studying Memgraph Database 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 Memgraph Database for Database Management 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 Memgraph Database for Database Management include: NASA, a United States based Aerospace and Defense organisation with 18000 employees and revenues of $24.00 billion, Microchip Technology, a United States based Manufacturing organisation with 22300 employees and revenues of $7.63 billion, Volue, a Norway based Professional Services organisation with 648 employees and revenues of $120.0 million and many others.
Contact us if you need a completed and verified list of companies using Memgraph Database, 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 Memgraph Database 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 |
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Microchip Technology | Manufacturing | 22300 | $7.6B | United States | Memgraph | Memgraph Database | Database Management | 2023 | n/a |
In 2023, Microchip Technology deployed Memgraph Database as a knowledge graph backend for an LLM-augmented customer-service chatbot. The Memgraph Database served as the Database Management layer for a customer-service and CRM use case in the United States, enabling contextual retrieval across orders, suppliers, and process logs to support conversation-level reasoning.
Implementation concentrated on graph modeling of orders, supplier relationships, and process logs to enable deep traversals and entity linking. Functional capabilities implemented included real-time graph queries, GraphRAG retrievals for retrieval-augmented generation, and a private LLM integration to synthesize context-aware responses, with the knowledge graph supplying structured provenance and lineage to the LLM.
Integrations explicitly included GraphRAG retrieval mechanisms and a private LLM endpoint, positioning Memgraph Database as a backend service integrated with the chatbot orchestration layer. The deployment supported secure, low-latency queries for both automated responses and agent-assisted interactions across Microchip Technology's US customer-service operations.
Operational governance emphasized data model curation and controlled access to the private LLM to preserve answer provenance and security. The project notes report improved response accuracy and reduced time-to-answer following the deployment of Memgraph Database and the GraphRAG enabled, LLM-augmented chatbot.
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NASA | Aerospace and Defense | 18000 | $24.0B | United States | Memgraph | Memgraph Database | Database Management | 2024 | n/a |
In 2024, NASA implemented Memgraph Database to build a People Knowledge Graph that connects employees, projects, and skills. The HR-focused Database Management deployment runs in NASA's secure AWS environment in the United States, supporting people analytics and expert discovery.
Implementation centered on a graph data model mapping person, project, and skill node types and relationship semantics, with Memgraph Database configured to enable low-latency graph traversals and real-time multi-hop queries. The deployment also powers a GraphRAG chatbot to surface subject-matter experts through conversational retrieval augmented generation workflows.
The operational scope is HR and people analytics within the United States, providing expert discovery and reporting capabilities for internal teams. The system architecture leverages Memgraph Database execution and query processing on NASA's secure AWS infrastructure, enabling live query responses against connected personnel and project data.
Governance practices emphasize data access controls and integration with existing secure cloud controls in NASA's AWS environment, aligning graph access with enterprise security policies. The implementation has enabled real-time multi-hop queries and a GraphRAG chatbot, improving subject-matter-expert discovery and reporting speeds.
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Volue | Professional Services | 648 | $120M | Norway | Memgraph | Memgraph Database | Database Management | 2024 | n/a |
In 2024, Volue integrated Memgraph Database to model power-grid topology and to perform real-time power flow and connectivity analyses for maintenance planning and customer impact scenarios. This Database Management deployment targeted energy and power-grid operations in Norway and across Europe, aligning graph schemas with network topology and operational time series.
The implementation centered on graph modeling capabilities in Memgraph Database, implementing topology graph schemas, connectivity and path queries, and event-driven real-time query execution to identify affected assets and downstream customers. Memgraph Database was configured for millisecond query performance to support ad hoc connectivity analysis and scheduled analytical pipelines for maintenance planning and forecasting.
Operational scope covered grid operations and maintenance planning teams, with use cases focused on customer impact scenarios and operational decisioning. Governance workstreams redefined workflow patterns to embed graph queries into planning and forecasting processes, and the integration delivered millisecond query performance that supported faster operational decisioning and forecasting.
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