How Time Series Databases and Data Lakes Work Together

Time series databases (TSDBs) and data lakes are two powerful technologies that, when used together, provide efficient data management for real-time analytics and long-term historical analysis. TSDBs like InfluxDB are optimized for handling time-stamped data, while data lakes store all types of structured and unstructured data at any scale. By integrating these technologies, organizations can benefit from real-time analysis with long-term storage support, scalability and flexibility, and cost savings. There are several common architecture patterns for integrating TSDBs and data lakes, including hybrid storage, stream processing, and data lakehouse architectures. Exploring and testing out solutions like InfluxDB in conjunction with your data lake can help optimize data storage costs and management without compromising the availability or analytical value of the data.