TL;DR: Eight years ago, we launched Timescale to bring time-series 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 ARR (>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, HuggingFace, 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 TigerData. Not to change who we are, but to reflect who we’ve become. TigerData 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. 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 HackerNews 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. 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 acquiring PostgreSQL companies. No one talks about Hadoop. The Lakehouse has won. Today, agentic workloads are here. 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. We soon 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 ARR, growing >100% y/y
200 people in 25 countries
$180 million raised from top investors
60%+ gross margins
Cloud usage is up 5x in the last 18 months, based on paid customers alone. 2,000 customers Mid 8-digit ARR, growing >100% y/y 200 people in 25 countries $180 million raised from top investors 60%+ 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-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 Supabase, DigitalOcean, and Fly.io. You’ll also find it on Databricks Neon, Snowflake Crunchy Bridge, OVHCloud, Render, Vultr, Linode, Aiven, and more. We Are TigerData 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 “TigerData" We offer the fastest PostgreSQL. Speed without sacrifice. So we are now “TigerData" 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 TimescaleDB. Our vector extension is still pgvectorscale. 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 “State of 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 Timescale. We’re Tiger. Today, we’re making that official. Why “Tiger”? This is not a reinvention: it’s a reflection of how we already serve our customers today. This is not a reinvention: it’s a reflection of how we already serve our customers today. Polymarket uses TigerData 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 dollars worth of trades. Polymarket Linktree uses TigerData for their premium analytics product, saving $17K per month on 12.6 TB from compression savings. They also compressed their time to launch, going from 2 weeks to 2 days for shipping analytical features. Linktree Titan America uses TigerData’s compression and continuous aggregates to reduce costs and increase visibility into their facilities for manufacturing cement, ready-mixed concrete, and related materials. Titan America Lucid Motors uses TigerData for real-time telemetry and autonomous driving analytics. Lucid Motors The Financial Times runs time-sensitive analytics and semantic search. The Financial Times Come Join Us Tiger is the Fastest PostgreSQL. The operational database platform built for transactional, analytical, and agentic workloads. The only database platform that provides Speed without Sacrifice. Tiger is the Fastest PostgreSQL. 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. 🐯🚀

Hot off the press! This story contains factual information about a recent event.

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

This is a PR written by or for the company mentioned within it. The writer has a vested interest in the company and products mentioned within.

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