Memgraph 1.0, a high-performance, Cypher-compatible graph database management system, has been released and is now production-ready, offering features that cater to both developers and data scientists. Developed with an in-memory architecture and C/C++ implementation, it ensures low latency, high throughput, and maximum concurrency, supporting both transactional and analytical workloads. Memgraph integrates with existing data science and machine learning tools, enabling seamless development of graph-powered applications, and is compatible with Neo4j through the Bolt protocol. It employs advanced storage and concurrency techniques, including ACID transaction semantics and multi-version concurrency control, to enhance performance and reliability. Memgraph Lab provides a visual interface for data visualization and query optimization, while commercial offerings like Memgraph Cloud and Memgraph Enterprise add features for security, high availability, and ease of deployment. The release marks the beginning of Memgraph's journey to deliver a robust, user-friendly graph database, with ongoing improvements and a commitment to user feedback.