TimechoAI's covariate support lets you use additional influencing factors — weather, load, operating conditions — to improve forecast accuracy. Real industrial forecasting rarely depends on a single variable.
Apache IoTDB database stores it all.
#TimechoAI#ApacheIoTDB
Timer-3.5 in TimechoAI supports ultra-long context inputs (tens of thousands of time points), multi-variable forecasting, and zero-shot generalization.
Pre-trained on trillion-scale industrial data via Apache IoTDB database.
#Timer#ApacheIoTDB
TimechoAI supports Timer-3.5, Chronos-2, AutoARIMA, Holt-Winters, and more — all accessible through an intuitive interface.
Auto mode analyzes your data and selects the best model automatically.
Powered by Apache IoTDB database infrastructure.
#TimechoAI#ApacheIoTDB
TimechoAI is a time-series foundation model cloud service built on Apache IoTDB database.
Upload your data — CSV or TsFile — and run forecasting, anomaly detection, and trend analysis without building ML pipelines from scratch.
#TimechoAI#ApacheIoTDB
TimechoDB supports multi-protocol industrial data ingestion — OPC-UA, MQTT, Modbus, and more — on top of Apache IoTDB database's native time-series engine.
One platform for diverse industrial data sources. #TimechoDB#IndustrialIoT#ApacheIoTDB
TimechoDB recognized through national-level software evaluation for its engineering maturity and production readiness.
Apache IoTDB database provides the open-source foundation; TimechoDB delivers the enterprise-grade product.
#TimechoDB#ApacheIoTDB
TimechoDB supports both tree model and table model on Apache IoTDB database — tree for hierarchical device monitoring, table for SQL-based analytics. Both coexist in the same cluster. Your choice.
#TimechoDB#ApacheIoTDB#DataModeling
TimechoDB introduces object data support on Apache IoTDB database @ApacheIotdb - associating time-series data with unstructured assets like documents, drawings, audio, and video files. SQL access to both in one system.
#TimechoDB#ApacheIoTDB#DataManagement
TimechoDB extends Apache IoTDB database with enterprise-level operational tooling: deployment architecture design, historical data migration, performance tuning, production monitoring, backup, and upgrade support. Built for mission-critical industrial environments.
#TimechoDB
Enterprises don't lack time-series data. What's scarce is turning it into forecasts.
We just opened TimechoAI — a cloud service powered by Timer, our time-series foundation model family.
Sign up and try it now → ai.timecho.com
Glad to see an Apache IoTDB project selected for #GSoC2026.
Congrats to Zihan Dai (@PDGGK) on: “Enhancing ThingsBoard Integration with IoTDB 2.X Table Mode”
Wishing you a great Summer of Code ahead. 🤝
#ApacheIoTDB#OpenSource#ThingsBoard
An Apache IoTDB project was selected for #GSoC2026 !
Congrats to Zihan on: “Enhancing #ThingsBoard Integration with IoTDB 2.X Table Mode”
We proposed 4 ideas this year. While 1 was selected for GSoC, the others will keep moving forward in the community.🚀
@TheASF#OpenSource
What matters in an industrial time-series database? 📊
Peak numbers Efficiently data moves from collection to usable intelligence.
High-volume ingestion, fast queries, efficient storage, and open AI integration. That’s how we see Apache IoTDB.
#ApacheIoTDB#TimeSeries#AI
Master your #IoT#data analysis with #ApacheIoTDB's #Table Model!🚀
Designed for deep #device management and complex analytics using standard #SQL
✅ Structured governance with Tags, Fields, and Attributes
✅ Scalable to 100k columns
✅ High-efficiency filtering on #Time & Tags