Memgraph is a London-based company that provides open-source in-memory graph database designed for real-time analytics.
Memgraph is an open-source, in-memory graph database designed for real-time analytics on highly connected and streaming data. It enables organisations to model relationships between entities and perform complex queries with low latency, making it suitable for dynamic environments such as fraud detection, recommendation systems, and AI-driven applications. Memgraph is compatible with the Cypher query language, allowing developers familiar with Neo4j to adopt it with minimal friction. The platform supports integrations with streaming systems such as Apache Kafka and provides a modular ecosystem for graph algorithms, visualisation, and deployment. Its architecture focuses on combining high-performance data processing with flexibility across cloud and on-premise environments.
Memgraph was founded in 2016 in Zagreb, Croatia, by Dominik Tomicevic and Marko Budiselic. The company was established to address performance limitations observed in existing graph database systems, particularly in scenarios requiring real-time data processing and low-latency queries.
In its early stages, the founding team focused on building a graph database engine from scratch, prioritising in-memory processing and efficient traversal of connected data. The company participated in the Techstars London accelerator programme in 2016, which supported its initial development and early funding efforts. Following this, Memgraph secured seed investment to expand its engineering team and further develop its product.
Between 2016 and 2020, Memgraph concentrated on refining its core database technology and building a foundation for scalability and performance. The company adopted an open-source approach, releasing its platform to the developer community to encourage adoption and collaboration. This strategy contributed to the growth of its user base and ecosystem.
Since 2021, Memgraph has expanded its capabilities with additional tools such as graph analytics libraries and cloud-based deployment options. The platform has been used in various industries, including finance, healthcare, and cybersecurity, particularly in applications requiring real-time data analysis and relationship modelling.
Memgraph’s mission is to enable organisations to understand and act on complex, connected data in real time. The company focuses on providing tools that allow developers and enterprises to model relationships, analyse patterns, and build applications that rely on fast and accurate data insights. By offering an open-source and developer-friendly platform, Memgraph aims to reduce barriers to adopting graph technologies and support the development of data-driven systems.
Memgraph envisions a data ecosystem where relationships between entities are as important as the data itself. The company aims to support the next generation of applications by enabling structured, real-time understanding of interconnected systems. Its long-term goal is to contribute to the development of intelligent systems that can process dynamic data efficiently, support decision-making, and integrate with emerging AI technologies in a transparent and scalable manner.
