#c_lang #bigdata #cloud_native #cluster #connected_vehicles #database #distributed #financial_analysis #industrial_iot #iot #metrics #monitoring #scalability #sql #tdengine #time_series #time_series_database #tsdb

TDengine is a powerful, open-source time-series database designed for handling large amounts of data from IoT devices, connected cars, and industrial IoT. Here are the key benefits It can handle billions of data collection points efficiently, outperforming other time-series databases in data ingestion, querying, and compression.
- **Simplified Solution** Designed for cloud environments, it supports distributed design, sharding, partitioning, and Kubernetes deployment.
- **Ease of Use** Makes data exploration and access efficient through features like super tables and pre-computation.
- **Open Source**: Available under open source licenses with an active developer community.

Using TDengine helps you manage and analyze large-scale time-series data efficiently, making it ideal for various IoT and industrial applications.

https://github.com/taosdata/TDengine

#html #a_share #algorithmic_trading #backtesting #china_stock_market #kline #local_first #market_data #mcp #quant_research #quantitative_finance #stock_data #stock_market #technical_analysis #time_series_database

This is a local stock data engine that stores A-share, ETF, and tick data on your own computer, then cleans, adjusts, and organizes it for fast research and backtesting. It helps you work offline, avoid remote API limits, and quickly query data, calculate indicators, and use Python, HTTP, Excel/WPS, web pages, or AI tools from one local setup.

https://github.com/hello245m/free-stockdb