Top Tweets for #tigerdata_ai
Manufacturers used to disconnect hard drives full of production history because SCADA databases ran out of capacity. That full-resolution data is exactly what AI models now need for training, and it's permanently gone. Partner content with Tiger Data. #tigerdata_ai
A sensor reading is 20 bytes: timestamp, tag ID, float. Stored in a Postgres table with one ingest-built index, that same row costs 95.6 bytes , a 4.8x gap. That is why a deployment sized at 12 TB arrives as 60. Partner content with Tiger Data. #tigerdata_ai
Sustainability initiatives use continuous energy and utility-consumption data from manufacturing equipment to identify waste and cut cost and emissions. That requires a platform like @TigerDatabase. Partner content with Tiger Data. #tigerdata_ai
Smart supply chains connect production-line IIoT data with upstream and downstream systems for real-time visibility into inventory, throughput, and delivery timing. For more info, read the article (link in the comments). Partner content with Tiger Data. #tigerdata_ai
TimescaleDB Enterprise brings managed service capabilities on-premises: high availability, replication, monitoring, alerting, and cloud sync for enterprise visibility across facilities. Built for sites where data cannot leave the building. #tigerdata_ai @TimescaleDB
One oil and gas client monitors 3,700 pieces of compression equipment across remote fields with spotty cellular. Result: 60% infrastructure cost reduction and data reliability up from 95% to 99%. That is what @TimescaleDB delivers at scale. #HM2026 #tigerdata_ai
Industrial databases are failing under the weight of 3, 7, even 10 years of sensor data collected at higher frequency. Mike Freedman, CTO of @TimescaleDB, explains how TimescaleDB uses columnar storage to cut costs and run 10x faster than legacy databases. #HM26 #tigerdata_ai
10x faster. Much smaller footprint. Dashboards that used to crawl now feel instant. Mike Freedman, CTO of Tiger Data, demos @TimescaleDB head-to-head against Postgres, SQL Server, Oracle, and Mongo at #HannoverMesse. #HM202 #tigerdata_ai
Data you had to throw away before can now be stored and used. @TimescaleDB lets industrial companies retain years of time series data and run real-time analytics or AI on it without overwhelming their existing infrastructure. #HM26 #tigerdata_ai
100 meters underground. Ships crossing the Atlantic. Deep water oil rigs. These are real TimescaleDB deployments. Mike Freedman, CTO of @TimescaleDB, on why industrial data must live where the equipment is. #TimescaleDB #tigerdata_ai #HM26
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