GreptimeDB is a unified time series database that integrates metrics, logs, and events, enabling real-time analysis through SQL and PromQL across edge and cloud environments. It addresses the challenges of high data processing costs and complex data management by providing a cost-effective solution with scalable performance and efficient storage.
Funding
Funding not disclosed
Founders
Product
Problem
Managing metrics, logs, and events data often involves complex and costly data stacks. Traditional solutions struggle to provide real-time analysis across diverse environments, from edge devices to cloud infrastructure, leading to inefficiencies in data processing and storage.
Solution
GreptimeDB is a unified time-series database designed to consolidate metrics, logs, and events data for real-time analysis. It supports SQL and PromQL, enabling users to query and analyze data across edge and cloud environments using a single database. By integrating these data types, GreptimeDB reduces data processing costs and simplifies data management, offering a cost-effective solution with scalable performance and efficient storage. The platform's architecture allows for compute-storage separation, facilitating flexible scaling across various cloud storage solutions like S3. GreptimeDB is available as a fully managed cloud service and can be deployed on ARM-based edge devices, ensuring unified APIs and bandwidth-efficient data synchronization.
Target Audience
The primary target audience includes organizations dealing with IoT and observability data, including those in automotive, manufacturing, and infrastructure management, as well as developers and engineers seeking a unified solution for time-series data analysis.
Features
- Unified storage for metrics, logs, and events, accessible via SQL and PromQL.
- Compute-storage separation for independent scaling of compute and storage resources.
- Support for object storage (e.g., S3) for cost-effective data storage.
- Cloud-native design for seamless deployment from edge to cloud using Kubernetes.
- Native support for Prometheus, OpenTelemetry, InfluxDB, and Elasticsearch protocols for easy migration.
- Edge database capabilities for ARM-based Android/Linux systems with minimal resource usage.
- Data compression for reduced storage costs and efficient data synchronization.