#tdengine search results
Storage math: TDengine compresses 50 billion records down to 36GB. Same data in TimescaleDB? 400GB+. Your cloud storage bill just thanked you. #database #TDengine
Your Oracle cluster chokes at 100K writes/sec. TDengine handles millions on commodity hardware. Math is simple. #database #TDengine
Real-time monitoring on 800k IoT sensors? 4.8ms for a single gauge query, 167ms across 40k devices. That’s not “database performance” — that’s telemetry at human reaction speed. #database #TDengine
🤖 Built-in AI for forecasting, anomaly detection & LLM-powered analysis—TDengine Historian turns raw data into actionable insights automatically! #TDengine #database
The most underrated feature? Compression. TDengine keeps storage footprint to just 25% of InfluxDB and 4% of TimescaleDB at same dataset scale. 1PB data retention no longer bankrupts your budget. #database #TDengine
250k writes/second on 3 nodes in steel plant production. Not lab numbers — real-world industrial scale. My postgres cluster would’ve melted already. #database #TDengine
1M+ instances globally, 60+ countries. From NIO Power's EV charging infrastructure to OPPO's IoT devices — TDengine quietly runs the world's time-series data. Performance proven. #database #TDengine
"Which boiler exceeded 85°C in the last shift?" Seconds, not minutes. That's what time-optimized indexing delivers. #database #TDengine
From 10 servers to 3. From 400GB to 36GB. From hundreds of ms to 4.8ms. TDengine isn’t just a database upgrade — it’s a total rewrite of what your IoT stack costs. #database #TDengine
Complex queries are where TDengine truly shines. TSBS shows last point queries 21x faster than InfluxDB, 5x faster than TimescaleDB. For real-time dashboards on millions of devices, that's a game changer. #database #TDengine
🔓 Open ecosystem & no vendor lock-in! TDengine Historian works on-prem, cloud & hybrid, keeping your data fully portable & under control! #TDengine #database
🌐 MQTT → TSDB → IDMP: Ingest → Store → Contextualize. That‘s the industrial data pipeline that actually works. #database #TDengine
One million devices, 10-million-device fleet — TDengine’s supertable scales because tags separate metadata from time-series data. Query across 10 million devices? Just filter tags. #database #TDengine
Time-series database is no longer just about storage. TDengine's three-layer architecture — TSDB + IDMP + AI-ready open interfaces — makes it an industrial data foundation for the AI era. #database #TDengine
50TB → 4.2TB. That‘s a real compression ratio, not marketing fluff. Storage costs don’t have to explode with scale. #database #TDengine
TSBS benchmark just dropped: TDengine writes 6x–20x faster than InfluxDB 3 across real IoT datasets. That’s 6 million vs. 1 million points per second territory. #database #TDengine
Super tables = tag-based querying across thousands of devices without JOIN hell. Finally, a #database that understands industrial hierarchy. #TDengine
🚀 InfluxDB: 1x. TimescaleDB: 3.3x. TDengine: 16.2x. The write performance gap keeps widening. #database #TDengine
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