DolphinDB, a high-performance time-series database, now supports HTTP API for data ingestion, allowing developers to push data via RESTful endpoints without requiring native client libraries. This approach simplifies integration with any language that can make HTTP requests, such as Python, Java, or JavaScript. The article provides a step-by-step guide on setting up the API, formatting JSON payloads, and handling authentication. For teams working on real-time analytics in finance, IoT, or other time-sensitive domains, this method reduces development overhead and accelerates pipeline deployment. The signal here is not just the tutorial but the growing trend of time-series databases adopting HTTP-first interfaces for broader accessibility.
This article demonstrates how to push data to DolphinDB using its RESTful HTTP API, enabling real-time ingestion without native client libraries. It is valuable for developers building low-latency data pipelines in finance or IoT.