SurrealDB and GreptimeDB are both open-source projects that have garnered attention in the developer community, each with distinct focuses and momentum. SurrealDB, with 31,669 stars on GitHub, has seen significant traction, particularly in the last 30 days with 312 new stars. This indicates a robust community and growing interest, likely driven by its promise of a scalable, distributed, collaborative, document-graph database tailored for real-time web applications. Its high star count suggests it is appealing to developers seeking a versatile database solution that can handle both document and graph data models seamlessly. In contrast, GreptimeDB, with 5,997 stars and 61 stars in the last 30 days, is positioned as a unified backend for metrics, logs, and traces, aiming to replace traditional tools like Prometheus, Loki, and Elasticsearch. It offers SQL and PromQL querying capabilities on object storage, making it an attractive option for observability and monitoring. While its star count is considerably lower than SurrealDB, it still represents a niche but growing interest in consolidating observability data into a single, SQL-compatible database. The lower star count and recent momentum might indicate a more specialized use case, appealing to a specific segment of the developer community focused on observability and monitoring. Both projects have their unique strengths and are likely to evolve based on the needs of their respective communities.