The Good Tech Companies - Timescale is now TigerData: Building the Modern PostgreSQL for the Analytical and Agentic Era 🐯 🚀

Episode Date: June 19, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/timescale-is-now-tigerdata-building-the-modern-postgresql-for-the-analytical-and-agentic-era. Timescale is now TigerData: the fastest PostgreSQL for AI, analytics & real-time apps. Built for speed, scale & the agentic future. Join us. 🐯🚀 Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #postgresql, #postgres, #database, #ai, #launch, #fastest-postgresql-database, #postgresql-for-ai-workloads, #good-company, and more. This story was written by: @tigerdata. Learn more about this writer by checking @tigerdata's about page, and for more stories, please visit hackernoon.com. Eight years ago, we launched Timescale to bring time-series to PostgreSQL. Since then, we have built a thriving business: 2,000 customers, mid 8-digit ARR, $180 million raised from top investors. We serve companies building real-time analytical products and large-scale AI workloads.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Timescale is now TigerData, building the modern PostgreSQL for the analytical and agentic era Tigerface rocket. By TigerData, creators of TimescaleDB. TLDR. 8 years ago, we launched Timescale to bring TimeSeries to PostgreSQL. Our mission was simple, help developers building time series applications. Since then, we have built a thriving business, 2,000 customers, mid-8-digit arranged by, greater than 100% growth year over year, $180 million raised from top investors. We serve companies who are building real-time analytical products and large-scale AI workloads like, Mistral, Hugging Face, Nvidia, Toyota, Tesla, NASA, JP Morgan Chase, Schneider Electric, Palo Alto Networks,

and Caterpillar. These are companies building developer tools, industrial dashboards, crypto exchanges, AI native games, financial rag applications, and more. We've quietly evolved from a time series database into the modern PostgreSQL for today's and tomorrow's computing, built for performance, scale, and the agentic future. So we're changing our name, from timescale to Tiger data, not to change who we are, but to reflect who we've become. Tiger data is bold, fast, and built to power the next era of software. Developers thought we were crazy.

When we started 8 years ago, SQL databases were, old-fashioned, NoSQL was the future. Hadoop, MongoDB, Cassandra, InfluxDB. These were the new, exciting NoSQL databases. PostgreSQL was old and boring. That's when we launched TimeScale. A time series database on PostgreSQL. Develop and boring. That's when we launched TimeScale, a time series database on PostgreSQL. Developers thought we were crazy. PostgreSQL didn't scale.

PostgreSQL wasn't fast. Time series needed a NoSQL database. Or so they said. While I appreciate PostgreSQL every day, am I the only one who thinks this is a rather bad idea? Top Hacker News comment on our launch, link, but we believed in PostgreSQL. We knew that Boring could be awesome, especially with databases. And frankly, we were selfish, PostgreSQL was the only database that we wanted to use. Today, PostgreSQL has won. There are no more, SQL vs NoSQL, debates. MongoDB, Cassandra, InfluxDB, and other NoSQL databases are seen as technical dead ends.

Snowflake and Databricks are a acquiring PostgreSQL companies. No one talks about Hadoop. The lake house has when, today, agentic workloads are here. Agents need a fast database. We see this in our customer base. Private equity firms and hedge funds using agents to help understand market movements. How did the market respond to Apple WWDC 2025? Industrial equipment manufacturers building chat interfaces on top of internal manuals

to help field technicians, developer platforms storing agentic interactions into history tables for greater transparency and trust, and so on. What started as a heretical idea is now a thriving business. We have also changed, we met in September 1997, during our first week at MIT. WeSoon became friends, roommates, even marathon training partners, Boston 1998. That friendship became the foundation for an entrepreneurial journey that has surpassed even our boldest imaginations. What started as a heretical idea is now a thriving business, 2,000 customers.

Mid-8 digit arranged by, growing greater than 100% why, why, 200 people in 25 countries. $180 million raised from top investors. 60% plus gross margins. Cloud usage is up 5x in the last 18 months, based on paid customers alone. And that's only the paid side of the story. Our open source community is 10x by minus 20x larger. Based on telemetry, it's 10x, but we estimate that at least half of all deployments have telemetry turned off. TimescaleDB is everywhere. It's included in PostgreSQL offerings around the world,

from Azure, Alibaba, and Huawei to SuperBase, DigitalOcean, and Fly. EO, you'll also find it on Databricks Neon, Snowflake Crunchy Bridge, OVH Cloud, Render, Vulture, Linode, Avon, and more. We are TigerData. Today, we are more thanon, and more. We are Tiger Data. Today, we are more than a time series database. We are powering developer tools, SaaS applications, AI native games, financial rag applications, and more. The majority of workloads on our cloud product aren't time series.

Companies are running entire applications on us. CTOs would say to us, you keep talking about how you are the best time series database, but I see you as the best PostgresQL. So we are now, Tiger Data, we offer the fastest PostgresQL. Speed without sacrifice, our cloud offering is, Tiger Cloud. Our logo stays the same, the Tiger, looking forward, focused and fast. Some things do not change. Our open-source time series PostgreSQL extension remains time scale DB. Our vector extension is still PG vector scale. Why, Tiger? The Tiger has been our mascot since 2017, symbolizing the speed, power, and precision we strive for in our

database. Over time, it's become a core part of our culture, from weekly, Tiger time, all hands and monthly, stated the Tiger, business reviews, to welcoming new teammates as, Tiger Cubs, to the, jungle. As we reflected on our products, performance, and community, we realized, we aren't just time scale. We're Tiger, today, we're making that official. This is not a reinvention. It's a reflection of how we already serve our customers today. Polymarket uses Tiger data to track their price history. During the last election Polymarket ramped up 4x when trade volumes were extra high to power over $3.7 billion worth of trades. Linktree uses TIGER Data for their premium analytics product, saving

$17,000 per month on 12.6 terabytes from compression savings. They also compressed their time to launch, going from two weeks to two days for shipping analytical features. Titan America uses TIGER Data's compression and continuous aggregates to reduce costs and increase visibility into their facilities for manufacturing cement, ready mixed concrete and related materials. Lucid Motors uses TIGER data for real-time telemetry and autonomous driving analytics. The Financial Times runs time-sensitive analytics and semantic search. Come join us, TIGER is the fastest post-rescue L, the operational database platform built for transactional, analytical,

and agentic workloads. The only database platform that provides speed without sacrifice. This is not a rebrand, but a recommitment to our customers, to our developers, and to our core mission. If this mission resonates with you, come join us. Give us product feedback, spread the word, wear the swag, join the team, it's go time, Tigerface Rocket Thank you for listening to this Hacker Noon story, read by Artificial Intelligence.

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