Top Tweets for #timescaleDB
Can Django and PostgreSQL handle complex, high-volume time series data?
From the DjangoCon US archives, Joaquín Scocozza shares the challenges, tradeoffs, and results of building with Django and Timescale.
Watch: https://t.co/mi1tbxwCfV
#Django #PostgreSQL #TimescaleDB
PostgreSQL pros: Level up with free Valentina Studio! Native app (Win/Mac/Linux) with visual schema/diagrams, smart SQL editor, powerful data editing + Postgres extras (JSON, PostGIS, partitions, arrays & more). Download free: https://t.co/63GQDN87os
#TimescaleDB #PostgreS
Aggregate is coming. The premiere event for people building with time-series data and Postgres.
📍 New York City + Livestream
🗓️ October 6, 2026
Register now: https://t.co/DERMHbD0b8
#TimescaleDB #Postgres #TimeSeriesDatabase #Aggregate2026 #TigerData
NEW BLOG!
Who changed that booking? A drop-in audit log for @CakePHP with #TimescaleDB
➡️ https://t.co/r4DZ0CvhnB
TimescaleDB just hit 10,000 contributions. Every ticket, comment, and PR got us here, from Tiger Data engineers to contributors around the world. Thank you. On to 100,000.
#TimescaleDB #PostgreSQL #OpenSource
On Postgres and hitting the analytics wall?
We're at booth 115 at #AWSSummit LA today.
Come see how TimescaleDB handles it without a second database.
https://t.co/F8POnvrJMj
#TimescaleDB
"I Benchmarked TimescaleDB vs ClickHouse vs MongoDB for Observability Data - The Results Surprised Me" by @SoPolliog #DEVCommunity https://t.co/zvph8vQe3I #mongodb #timescaledb #clickhouse
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
What #timeseries database does #IoT actually need? 🤔
#EMQX Tables chose #GreptimeDB as its engine.
This powerful synergy delivers the unified, cost-effective solution built for the PB-scale era.
See the full rationale: https://t.co/U449W2O8WS
#InfluxDB #TimescaleDB
TimescaleDB Docs | Ruby on Rails Quick Start (from 17/09/2020) #ruby #rubyonrails #programming #TimescaleDB #Rails #Quick #Start https://t.co/Jg7x9aFwsT
Want faster market-data workflows?
TraderMade’s new guide shows how to turn live FX & stock ticks into OHLC candles using TimescaleDB — clean, scalable, and lightning-fast.
Read it here 👇
https://t.co/vIwYw2qtBz
#Fintech #TradingTech #TimescaleDB
Claude migrated a MongoDB app to @TigerDatabase in just two steps. Now the app is faster, cheaper, and ready for scale. Watch it in action here: https://t.co/KQogEZ0kAZ
#AI #MongoDB #TimescaleDB #TigerData #Developers
Everybody’s building “ai native” databases …but we’re just making PostgreSQL smarter. Innovation shouldn’t mean abandoning the tools that already power the world’s data. #postgreSQL #AI #TigerData #timescaleDB
Agents are the new developers, and they need databases built for how they work.
Today we're open-sourcing Eon: a production Slack agent that turns institutional knowledge into instant answers. After 6 weeks, nearly 50% of our company uses it regularly.
We learned three things building it: agents need conversational memory, focused context (not API wrappers), and production-grade reliability.
So we open-sourced everything:
▪️ tiger-eon – Full reference implementation
▪️ tiger-agents-for-work – Durable event processing with retries
▪️ tiger-slack – Real-time Slack ingestion into TimescaleDB
▪️ MCP servers for GitHub, Linear, and docs with semantic search
Built on Postgres. Battle-tested in production. Ready to deploy in 10 minutes.
Start building: https://t.co/tmrODs2Bzr
1. Cloudflare swapped ClickHouse for TimescaleDB
Too many tiny log writes from WARP clients made ClickHouse's MergeTree choke. Postgres + TimescaleDB gave 1000× faster queries and unified config + analytics storage.
📖 https://t.co/QbfXNdUKk8
#PostgreSQL #OLAP #TimescaleDB
An attempt to integrate #TimescaleDB directly into my main #PostgreSQL database (which powers a critical application and collects data for #Grafana) led to a complete meltdown! 🤯
Turns out, the core application is very sensitive to its internal database: switching the PostgreSQL image to TimescaleDB broke processes and disrupted data access. Even a “clean” setup didn’t help — configuration data kept getting restored due to conflicts.
The solution:
Instead of forcibly injecting TimescaleDB into a live system, we spun up a completely separate Docker container running PostgreSQL with TimescaleDB — on a different port.
Now:
✅ The main application runs smoothly with its original database
📥 New data (meant for TimescaleDB) is routed to the separate instance
📊 Grafana connects to the new, specialized TimescaleDB and uses all its features without issues
Isolation and service separation are everything!
Sometimes, the simplest solution is to leave working things alone — and build something new for specialized needs.
#Docker #PostgreSQL #TechTip #Database
👯♂️ Friends who Grafana together, laundry together.
Here's how Dakota and Cole — two students, friends, and data enthusiasts — built an #observability solution with #TimescaleDB and #Grafana to monitor the laundry facilities in a college dorm. https://t.co/0coFQ0zWm3
Build IIoT Data Pipeline with EMQX + TimescaleDB + Prometheus + Grafana
#TimescaleDB is a time-series DB built on PostgreSQL, optimized for structured, high-frequency data ingestion and complex queries—ideal for time-based IIoT sensor data. Here’s how they work together!
🧵1/
That’s crazy—the potential of hybrid search with @TimescaleDB + @OpenAI embeddings is next level! 🤯🔍
#AI #Postgres #TimescaleDB #HybridSearch
💡 Traditional SCADA systems can't handle millisecond-level data from renewable assets.
@N3uron can.
Our platform seamlessly integrates with #MongoDB, #TimescaleDB, and #InfluxDB to transform renewable energy operations: 🧵👇
Unlock the power of time-series data with #TimescaleDB! 🚀 This high-performance database extension for #Postgres enables real-time analytics on massive datasets in just a few lines of code. Perfect for IoT, finance, and more! Check it out: https://t.co/tPAy8C6B9z #OpenSource #DataAnalytics #BigData
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