Anya Sage
@TheWriteCure
Owner @TheWriteCure | Content Marketing Manager @TigerDatabase | Tech Marketing Copywriter | I help tech startups create more value through the right words.
1/4 I got sick of MCP hype so I interviewed three @TigerDatabase engineers who've actually built with it. While everyone calls MCP "USB-C for AI," the security situation is genuinely scary. Critical vulnerabilities everywhere if you're not careful.
My blog post today announcing Tiger Lake and its public beta: tigerdata.com/blog/tiger-lak…
Speed wins. When @Cloudflare needed a fast, reliable database to power the analytics in their Zero Trust suite, they didn’t reach for ClickHouse, or any other purpose-built analytics engine. They chose PostgreSQL. With TimescaleDB. Why? 1. Fast without drag PostgreSQL scaled…
Cloudflare chose TimescaleDB to power its Digital Experience Monitoring and Zero Trust Analytics products. cfl.re/4nCM3a8
Building real-time apps or AI agents? This TigerData NYC event on July 15 is for you. TigerData (creators of @TimescaleDB) is hosting Tiger One—a hands-on developer session where you'll discover how teams are using the fastest Postgres to build lightning-fast applications.…
The Essential AI Content Editing Checklist: linkedin.com/feed/update/ur… #ai #content #editing
𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝘀 𝗶𝘀𝗻’𝘁 𝘀𝘂𝗽𝗽𝗼𝘀𝗲𝗱 𝘁𝗼 𝘀𝗰𝗮𝗹𝗲 𝗹𝗶𝗸𝗲 𝘁𝗵𝗶𝘀. • 400T metrics recorded • 2.08PB stored • 1.5T metrics ingested/day All on a 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱 𝗧𝗶𝗴𝗲𝗿 𝗖𝗹𝗼𝘂𝗱 𝗶𝗻𝘀𝘁𝗮𝗻𝗰𝗲. 📖 Read how we got here → tigerdata.com/blog/scaling-p… No forks.…
TimescaleDB to the Rescue: From 11 Seconds to 0.02 Seconds⚡ When you're dealing with billions of rows and need real-time statistics, traditional databases can leave you waiting...and waiting. Here's a real-world use case from one of our users, @Sarvendev 🚀: He was stuck with…
Blocked Bloom Filters Technical Deep Dive 🚀 Building the fastest Postgres just got more interesting. Point lookups in columnar storage have always been a challenge—scanning entire columns for single values is expensive, especially at scale. That's why we're excited to share…
I have spent over four years at @TimescaleDB, watching us grow and innovate in remarkable ways—we are now entering our next big chapter as TigerData (@TigerDatabase)🙂 The tiger mascot has brought incredible energy to the company since day one.
🐯 Timescale is now TigerData! 🚀 Eight years ago, we started as a PostgreSQL-based time-series database. But innovation never stands still—and neither have we. Today, we proudly unveil @TigerDatabase, marking our evolution into the fastest and most powerful PostgreSQL…
The OLTP vs. OLAP split made sense when applications and analytics were separate stacks. But today, the real divide is operational vs. non-operational data: data needed to serve the app vs. data optimized for training, analysis, or governance. That’s Postgres + the lakehouse.…
🚀 Skip the ETL headaches. Go straight from S3 to PostgreSQL. Traditional ETL pipelines are notorious for creating bottlenecks—data staleness, complex batch processing, and constant maintenance overhead. What if you could eliminate all of that? AWS Solutions Architects Mrinali…
Launch Day 3: Observability That Actually Works We've covered TimescaleDB 2.20's performance gains and scaling capabilities earlier in the week. Now: the observability tools that let you actually manage these systems in production. The visibility gap: Database performance…
Launch Day 2: Scaling Without Compromise Yesterday we covered TimescaleDB 2.20's performance breakthroughs. Today: how read replica sets and enhanced storage solve the scaling challenges that break traditional PostgreSQL deployments. The scaling problem: Most applications hit a…
June Launch Day 1: Speed without Sacrifice TimescaleDB 2.20 just dropped with performance numbers that will make you rethink what's possible with PostgreSQL. The headline numbers: - 2500x faster DISTINCT queries with SkipScan optimization - 10x faster upserts and backfills on…
Most AI chatbot demos don’t survive production. They skip auth, duplicate data across Postgres + vector DBs, and rely on fragile sync pipelines. We built something simpler—and more secure. 🔒 In our new webinar, @osoHQ and @TimescaleDB show how to build an authorized AI…
Timescale Newsletter - May 1-14, 2025 linkedin.com/pulse/timescal… #timescale #tech #news