Apache IoTDB

Open-source AI-driven time series database.
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[Apache IoTDB @ApacheIotdb]

Nearly 100 built-in aggregation functions live in Apache IoTDB database: avg, max, min, sum, count, first, last, time_duration, plus time-series-specific operations like downsampling, FILL, and similarity search.
All from SQL.
#SQL #ApacheIoTDB

[Apache IoTDB @ApacheIotdb]

The Pipe streaming framework in Apache IoTDB database supports Extract → Process → Load stages for cross-cluster synchronization.
Edge-to-cloud data pipelines, disaster recovery, and multi-datacenter deployments all use the same framework.
#DataPipeline #ApacheIoTDB

[Apache IoTDB @ApacheIotdb]

Statistical metadata for every data chunk — min, max, start time, end time — stored in TsFile format by Apache IoTDB database.
The query engine uses this to skip irrelevant blocks entirely, accelerating time-range scans.
#TsFile #DatabaseInternals

[Apache IoTDB @ApacheIotdb]

Time alignment across devices with different sampling frequencies is built into Apache IoTDB database's query engine.
Compare a 1Hz temperature sensor with a 100Hz vibration sensor?
The database aligns them automatically in a single query.
#TimeSeriesQuery #ApacheIoTDB

[Apache IoTDB @ApacheIotdb]

PBTree index in Apache IoTDB database optimizes metadata storage for millions of time series. Even with massive device counts, metadata queries remain fast because the index structure is designed specifically for hierarchical IoT data paths.
#Indexing #Database

[Apache IoTDB @ApacheIotdb]

@00Sindirella Hello

[Apache IoTDB @ApacheIotdb]

@00Sindirella hello

[Apache IoTDB @ApacheIotdb]

Apache IoTDB database uses two consensus protocols: Ratis for metadata consistency and IoTConsensus for high-performance data replication.

Each protocol serves its purpose — strict consistency where it matters, throughput where it counts. #DistributedSystems #ApacheIoTDB

[Apache IoTDB @ApacheIotdb]

The two-dimensional partitioning strategy in Apache IoTDB database — Series Partition Slots (hash-based) + Time Partition Slots (7-day segments) — enables both horizontal scaling and efficient time-range queries across billions of data points.

#DatabaseDesign #IoT

[Apache IoTDB @ApacheIotdb]

How does Apache IoTDB database handle out-of-order data ingestion at scale?

The answer lies in its LSM-tree-inspired storage engine.
Late-arriving sensor readings are written to the correct time position without application-level buffering.

#ApacheIoTDB #TimeSeriesDatabase

[Apache IoTDB @ApacheIotdb]

TimechoAI, a new cloud service powered by the Timer time-series foundation model, is now open. IoTDB users can export TsFile data and try forecasting in minutes.

Try it → https://t.co/cr4dX3aro5

#OpenSource #TimeSeriesDB #IndustrialIoT

[Timecho @TimechoTech]

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 → https://t.co/dDmHGo98kp

[Apache IoTDB @ApacheIotdb]

Apache IoTDB has been selected as one of the Top 60 Global Innovation Cases by the @UN STI Forum! 🌍

Selected from 900+ submissions worldwide, our time-series databasetechnology is powering Digital Public Infrastructure for sustainable development. @TheASF

[Apache IoTDB @ApacheIotdb]

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

[Apache IoTDB @ApacheIotdb]

Exactly. In industrial AI, the question is not only where data is stored, but how quickly it becomes usable.

Apache IoTDB is built for high-volume ingestion, efficient storage, fast time-based queries, and open AI integration.

#ApacheIoTDB #TimeSeries #OpenSource #IIoT

[Timecho @TimechoTech]

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

[Apache IoTDB @ApacheIotdb]

One takeaway from @hannover_messe 2026:

In industrial AI, the bottleneck is often not the model — it is the data foundation behind it.

That is why open source time-series infrastructure matters.

That is where Apache IoTDB fits in.

#ApacheIoTDB #IndustrialAI #OpenSource

[Apache IoTDB @ApacheIotdb]

🚀 Apache #IoTDB V2.0.8 released!

🧠 Chronos-2 time series model + concurrent AI inference
⚙️ Custom TIME column naming
🔒 Security fixes + stability improvements

📦 https://t.co/xZPWb0Oayl

#IoT #TimeSeries #AI #OpenSource

[Apache - The ASF @TheASF]

Apache IoTDB 2.0.8 is now available for download: https://t.co/J19PegYCf0

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.

[Apache IoTDB @ApacheIotdb]

What if installing Apache IoTDB was as simple as telling an AI agent what you want?

We tested exactly that: package download, Java setup, service startup, and even some troubleshooting.

Less time fighting setup. More time using the database.

#AI #OpenSource #Database

[0x鸣人 @LuBtc888]

真心推荐大家去看看斯坦福这场两小时讲座，
直接把ChatGPT、Claude这类主流大模型，底层搭建逻辑讲得明明白白。

内容深度特别扎实，
很多干货，连不少AI圈内资深从业者平时都接触不到。

周末别整天碎片化刷短视频浪费时间，
先收藏存下来，抽两个小时静下心完整看完。
看完你会发现，这绝对是这周性价比最高、收获最大的一次学习。

[Apache - The ASF @TheASF]

Apache IoTDB 2.0.8 is now available for download: https://t.co/IHVyJA7v0r

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.