Built on @ApacheIoTDB | Enterprise-grade time-series DB & services. 🚀 Updates | Insights | Best practices | Developer tips

Joined August 2022
Timecho retweeted
A time-series workload needs more than a timestamp column. Apache IoTDB handles continuous ingestion, out-of-order data, device context, and time-oriented queries—from signal alignment to historical aggregation. What shapes your database design most? #ApacheIoTDB #IndustrialIoT
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🏗️In IoT systems, time is part of the measurement. A reading observed at 10:01 but received at 10:05 belongs to the 10:01 event timeline. When event timestamps are retained, Apache IoTDB supports out-of-order ingestion and time-based queries. #ApacheIoTDB #IndustrialIoT
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How can nuclear power maintenance become smarter? Apache IoTDB and Timer connect high-frequency data with AI to enable anomaly detection, trend forecasting, and equipment health assessment. Explore the architecture for data-driven maintenance. medium.com/@timechotech/apac…
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For #Industrial workloads, collecting #data at high frequency is only half the challenge. The real challenge is: • storing billions of measurements • querying years of history • keeping infrastructure efficient This is where Apache IoTDB shine. youtube.com/watch?v=3Y4I7Zd0…
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Connect IoT devices directly to Apache IoTDB database via MQTT! No extra message broker. No complicated pipelines. Stream sensor data straight into time-series storage and start analyzing faster. Simplify your IoT architecture with native MQTT support. #ApacheIoTDB #MQTT #IoT
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Explore Apache IoTDB database CLI 🚀 Set timezone, run aggregations, and query time-series data with ease. 👇Example: SELECT avg(temperature) FROM root.factory.** GROUP BY ([now-1h, now), 5m) Simplify IoT data analysis with powerful SQL queries. #ApacheIoTDB #IoT #TimeSeries
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Timecho retweeted
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
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Timecho retweeted
TimechoAI Auto mode analyzes input data and selects suitable models automatically — strong baseline results without manual tuning. Lowering the barrier to time-series AI on Apache IoTDB database infrastructure. #TimechoAI #ApacheIoTDB
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Timecho retweeted
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
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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
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Time series models break at long horizons, #Timer-S1: 💎Billion-scale 💎11.5K context 💎No rolling (STP) 💎#SOTA on GIFT-Eval Full report: timecho-global.com/archives/… #Tsinghua #Bytedance #Model #Benchmark️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️
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Apache TsFile 2.2.1 is now available for download: buff.ly/DXMIAz9 TsFile is a high-performance columnar storage file format designed for industrial time-series #data. #opensource
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🌳 Dive into #ApacheIoTDB Tree Mode Intuitive, hierarchical paths mirror the physical world for #industrial #monitoring Perfect for DCS & SCADA scenarios Manage multiple #devices efficiently with flexible, tree-like structures #database #Industry #Devices #TimeSeries #Infra
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Scaling time-series is an architectural problem. See how #ApacheIoTDB handles it: - 2D partitioning (time + series) - High-throughput replication - Cross-cluster sync for DR & real-time pipelines Built for billions of #data points→ timecho-global.com/archives/… #Database #Infra #DB
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Two ways to model #timeseries in #ApacheIoTDB 🌳Tree Model → intuitive paths, perfect for monitoring 📊Table Model → structured tables, ideal for analysis Pick the modeling method that fits your scenario→scale with your needs Star us: github.com/apache/iotdb #IoTDB #Database
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Apache IoTDB (Database for Internet of Things) is an #IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. IoTDB 1.3.6 is now available for download: buff.ly/As4hggb #opensource
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Apache TsFile is a high-performance columnar storage file format for industrial time-series #data, featuring multi-language interfaces, high compression ratios, high read/write throughput, & fast random access capabilities. Download TsFile 2.2.0: buff.ly/TDilGWy
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Apache TsFile is a columnar storage file format designed for time series data, which supports efficient compression, high throughput of read and write, and compatibility with various frameworks, such as Spark and Flink. Download TsFile 1.1.2 now: buff.ly/CBNmZZV
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Apache TsFile 2.1.0 is now available: buff.ly/8K4eCsh TsFile is a columnar storage file format designed for time series #data, which supports efficient compression, high throughput of read and write, and compatibility with various frameworks, such as Spark and Flink.
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🚀 Don’t miss @ChristoferDutz's talk on "Magic Industrial Data Acquisition with Apache PLC4X, TsFile, and IoTDB" at @TheASF #CommunityOverCode! 🗓️Oct 9, 4:50 - 5:30 pm MDT 📍Mt. Harvard Room, Grand Hyatt Denver 🔗communityovercode.org/schedu… #OpenSource #IoT #IndustrialAutomation
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