
TigerData - Creators of TimescaleDB
@TigerDatabase
The fastest PostgreSQL cloud platform for time series, real-time analytics, and vector workloads. Creators of TimescaleDB. http://github.com/timescale
🐯 @TimescaleDB is now TigerData! 🚀 When we launched Timescale, the top Hacker News comment said it was “a bad idea.” PostgreSQL wasn’t supposed to be fast. Or scalable. Or useful for time-series. 8 years later: -2,000 customers -8-digit ARR -Most workloads aren’t even…
Devs, builders, and database lovers—we're bringing the community together for a two-hour developer jam hosted by TigerData (creators of TimescaleDB) + Cloudflare! ➡️ Talks ➡️ Demos ➡️ Open mic ➡️ Real conversations with the teams behind the tech Special guest: @EmpromptuAI in…
"You're sending customer information to OpenAI or Anthropic." We asked three experienced TigerData (creators of @TimescaleDB) engineers about MCP implementation challenges and how developers can mitigate them: tsdb.co/6kapcfcq Security concerns dominate every engineering…
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How AI Engineers Are Tackling MCP Integration
Calling all developers working on real-time, analytical, or AI workloads! Join TigerData (creators of @TimescaleDB) and Cloudflare for a hands-on evening of lightning talks, live demos, and open mic project sharing – plus a special Q&A with Empromptu.ai! October 29 |…

Friday #vibecoding: A @solana blockchain app running on Tiger (@TimescaleDB) cloud. "This configuration optimizes for both query performance (common filters on leader/signer + time) and storage efficiency (columnstore compression on correlated data)." 🐯◎


Sunday morning fun: Crypto Trading Algorithm Backtesting Tournament 😎 Ran a 90-day crypto trading tournament on multiple Tiger forks, testing 5 classic strategies (on ETH/USD): 🥇 Winner: Stochastic Oscillator (+77.33% ROI) 🥈 Bollinger Bands (+62.99%) 🥉 Momentum (+24.43%)…


i sat down with three staff ai eng at @TigerDatabase and asked them where mcp sits in enterprise companies. there's a common pattern here: security and reliability. had a lot of fun chatting with james, jon, and anton youtube.com/watch?v=cX_pCT…
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Using AI and MCP in Developer Workflows | Trust.. But Verify
My co-founder @michaelfreedman and @ashwiniraina co-author of Fusion, joined TigerData last year and helping drive some big new storage efforts. More, very soon.
[ASPLOS'25] Fusion: An Analytics Object Store Optimized for Query Pushdown cs.princeton.edu/~mfreed/docs/f… Tightly integrating an Iceberg catalog with an object store means that one could make file-format aware erasure coding decisions, to permit pushing down filters and aggregations.
![AlexMillerDB's tweet image. [ASPLOS'25] Fusion: An Analytics Object Store Optimized for Query
Pushdown
cs.princeton.edu/~mfreed/docs/f…
Tightly integrating an Iceberg catalog with an object store means that one could make file-format aware erasure coding decisions, to permit pushing down filters and aggregations.](https://pbs.twimg.com/media/G1-J_gBXwAAXlSg.png)
![AlexMillerDB's tweet image. [ASPLOS'25] Fusion: An Analytics Object Store Optimized for Query
Pushdown
cs.princeton.edu/~mfreed/docs/f…
Tightly integrating an Iceberg catalog with an object store means that one could make file-format aware erasure coding decisions, to permit pushing down filters and aggregations.](https://pbs.twimg.com/media/G1-J_pWXYAAQA8T.png)
"The central tenet of good software design is to fight complexity." –John Ousterhout (Stanford professor, Tcl/Tk, LFS, RAFT) The projects that survive are the ones that layer cleanly and evolve gracefully. The projects that die are the ones that entangle themselves with…
"Simplicity is prerequisite for reliability." –Edsger Dijkstra (Turing Laureate, 1972) @TimescaleDB 0.1 launched in 2017 on Postgres 9.6. @TimescaleDB 2.23 will soon ship with Postgres 18 support. Many databases forked Postgres; we never did. Most didn’t survive or became a…

Thanks for the post, @AlexMillerDB. Haven’t shared about Fusion before, so here’s the background: Disaggregated object stores are the default for data lakes and lakehouses. But their interaction with analytics formats (e.g., Parquet, Iceberg) often leaves performance suboptimal:…
[ASPLOS'25] Fusion: An Analytics Object Store Optimized for Query Pushdown cs.princeton.edu/~mfreed/docs/f… Tightly integrating an Iceberg catalog with an object store means that one could make file-format aware erasure coding decisions, to permit pushing down filters and aggregations.
![AlexMillerDB's tweet image. [ASPLOS'25] Fusion: An Analytics Object Store Optimized for Query
Pushdown
cs.princeton.edu/~mfreed/docs/f…
Tightly integrating an Iceberg catalog with an object store means that one could make file-format aware erasure coding decisions, to permit pushing down filters and aggregations.](https://pbs.twimg.com/media/G1-J_gBXwAAXlSg.png)
![AlexMillerDB's tweet image. [ASPLOS'25] Fusion: An Analytics Object Store Optimized for Query
Pushdown
cs.princeton.edu/~mfreed/docs/f…
Tightly integrating an Iceberg catalog with an object store means that one could make file-format aware erasure coding decisions, to permit pushing down filters and aggregations.](https://pbs.twimg.com/media/G1-J_pWXYAAQA8T.png)
Crypto company? Run your data infra using crypto.

TigerData and @TimescaleDB has been serving the crypto world for years. From top exchanges, to blockchain champions like Ethereum and Solana, to the web3/DeFi/token infra builders. And now, we finally accept crypto payments too. 🔗💎🚀

Great to see PR to Apache Thrift from @jamesmeguthrie reduce memory allocation by ~85% in common scenarios. As we’ve matured Tiger Connect (data transfer for S3, Iceberg, Kafka, Postgres, etc. to/from Tiger Postgres), some of our perf optimizations end up improving the broader…

Everyone else: Crypto candlestick charts are complex @TimescaleDB: just precompute + rollup 🐯 ✅ candlestick_agg() = compact OHLC ✅ Continuous rollups = 1m → 15m → 1h → daily, real-time Even @FartCoinOfSOL on @pumpdotfun gets enterprise-grade dashboards 🚀 Scroll down for…



. . . big things coming . . .

youtu.be/eD-8UZAl8d4 TigerData is redefining the database landscape for the age of AI agents, IoT devices, and developers. At the NYSE, I recently spoke with 🐯 Ajay Kulkarni, CEO & Founder of @TigerDatabase (creators of TimescaleDB), about how the company is extending…
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TigerData: Postgres for Developers, Devices & AI Agents | CEO Ajay...
We asked three experienced TigerData (creators of @TimescaleDB) engineers about strategies for incorporating MCP into existing developer workflows: youtu.be/iuIufIkDn_g ▶️ The engineers recommend hands-on learning for effective MCP integration. Anton Umnikov built MCP servers…
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MCP Advice from Real Developers | Treat AI Output Like a PR Review
We’ve been powering the Crypto world for years: supporting top exchanges, blockchain ecosystems like Ethereum and Solana, and the DeFi infra builders behind the scenes. It’s been exciting to watch the resurgence of Crypto, especially with the rise of stablecoins. And we keep…

TigerData and @TimescaleDB has been serving the crypto world for years. From top exchanges, to blockchain champions like Ethereum and Solana, to the web3/DeFi/token infra builders. And now, we finally accept crypto payments too. 🔗💎🚀

🔎 “How many active devices do I have right now?” 📊 “Which trading pairs saw activity today?” 🌡️ “What’s the latest reading per sensor?” At scale, these everyday questions used to take seconds. With SkipScan for columnstore hypertables, they now return in milliseconds: ▪️…

🧠 The MCP - AI Agents Hackathon today is in full swing! We’re giving prizes to those who can build agents on TigerData!🏆 Prizes include: Nintendo Switch, iPad mini, AirPod and $50 dollar credit to our swag store if you leverage our cloud. This is your chance to show how you…

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