Timecho

Enterprise-grade Product based on @ApacheIoTDB, Time series DB & services.
🚀 Updates | Insights | Best practices | Tips for developers

[Timecho @TimechoTech]

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

[Timecho @TimechoTech]

TimechoDB provides enterprise deployment services: architecture design, performance tuning, migration from legacy systems, and ongoing operational support. Apache IoTDB database @ApacheIotdb is the engine — TimechoDB is the complete solution.
#TimechoDB #EnterpriseIT

[Timecho @TimechoTech]

TimechoDB's high availability architecture builds on Apache IoTDB database's native distributed design — adding automated failover, zero-downtime upgrades, and enterprise-grade disaster recovery for production environments.
#TimechoDB #HighAvailability #ApacheIoTDB

[Timecho @TimechoTech]

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

[Timecho @TimechoTech]

TimechoDB's enterprise security enhancements go beyond the open-source Apache IoTDB database: fine-grained access control, audit logging, vulnerability remediation support, and compliance-ready configurations for regulated industries.
#TimechoDB #EnterpriseSecurity

[Timecho @TimechoTech]

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

[Timecho @TimechoTech]

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

[Timecho @TimechoTech]

TimechoDB, built on Apache IoTDB database @ApacheIotdb , adds enterprise-grade capabilities: high availability, operational tooling, performance optimization, security enhancements, and dedicated support.

Open-source foundation, enterprise reliability. #TimechoDB #ApacheIoTDB

[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

[Timecho @TimechoTech]

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

[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

[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

[Timecho @TimechoTech]

@hannover_messe 2026: Industrial AI needs more than models. It needs a strong data foundation behind real operations.

That's why Apache IoTDB @ApacheIotdb stands out.

Great to share our perspective and connect with partners this week.

#HannoverMesse #IndustrialAI

[Timecho @TimechoTech]

Live at #HannoverMesse.
📍Hall 26, Booth C10B

Timecho is showcasing:
@ApacheIotdb for industrial time-series data,
Timer for time-series foundation models,
and TimechoAI for cloud-based time-series intelligence.

#ApacheIoTDB #IndustrialAI #Industry40 #TimeSeriesDatabase

[Timecho @TimechoTech]

🔔 Visit Timecho at @hannover_messe 2026 Hall 26 Booth C10B to discover @TimechoDB -our enterprise-grade time-series database solution for reliable industrial data operations

#ApacheIoTDB #HannoverMesse2026 #HM26 #Database #TimeSeries #Event #Solutions
https://t.co/TQl8KQqKBS

[Apache IoTDB @ApacheIotdb]

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

[Apache IoTDB @ApacheIotdb]

Time series models break at long horizons, #Timer-S1:
💎Billion-scale
💎11.5K context
💎No rolling (STP)
💎#SOTA on GIFT-Eval

Full report: https://t.co/aRihNiPCTc

#Tsinghua #Bytedance #Model #Benchmark️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️

[Apache - The ASF @TheASF]

Apache TsFile 2.2.1 is now available for download: https://t.co/gKheHNoD5m

TsFile is a high-performance columnar storage file format designed for industrial time-series #data.

#opensource

[Apache IoTDB @ApacheIotdb]

🌳 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

[Apache IoTDB @ApacheIotdb]

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→ https://t.co/rDIenhY6tf

#Database #Infra #DB

[Timecho @TimechoTech]

Time-series #forecasting, big update🚀

#TimechoDB AINode now brings #covariate forecasting into the database — run Transformer models and query targets + covariates directly with #SQL

No data export. Simpler workflows, better accuracy

🔗 https://t.co/ZUdkrO0bqu

#Database #AI