Timescale is no more. The company, long known for its time-series database innovations built on PostgreSQL, has rebranded as TigerData, a name it says better reflects its bold ambition: to become the fastest PostgreSQL platform for modern workloads, ranging from transactional and analytical systems to those designed for intelligent agents.
“Modern applications don’t fit neatly into traditional database categories,” said Ajay Kulkarni, Co-founder and CEO of TigerData. “They capture vast streams of data, power real-time analytics, and increasingly rely on intelligent agents that reason and act. These workloads—transactional, analytic, and agentic—require a new kind of operational database. That’s exactly what we’ve built at TigerData: a system that delivers speed without sacrifice.”
TigerData supports over 2,000 customers in 25+ countries and manages more than 3 million active databases, establishing itself as a trusted infrastructure layer for global enterprises. The new name is more than a facelift, but a statement of purpose.
A New Standard for PostgreSQL
PostgreSQL, the world’s most beloved open-source operational database, wasn’t built with today’s scale and complexity in mind. As Kulkarni notes, the demands of modern applications have outgrown what vanilla PostgreSQL offers out of the box.
TigerData addresses this challenge not by forking PostgreSQL, but by extending it, preserving full compatibility while incorporating the performance and scalability features required today.
“We began by extending PostgreSQL through open source, with TimescaleDB enabling high ingest, time-series, and real-time analytical applications,” the company wrote. “That work laid the foundation for a fully cloud-native PostgreSQL platform—Tiger Cloud—featuring horizontally scalable reads, compression at 100+ petabyte scale, hot/cold data tiering, and deep observability.”
The platform includes Hypertables for automatic time-based partitioning, Continuous Aggregates for always-fresh materialized views, and Hypercore, a hybrid row-columnar engine designed for high-speed, customer-facing analytics. It also integrates features like low-latency vector search (DiskANN and HNSW), SQL-native embedding pipelines, and structured memory—all of which make it “agent-ready.”
“These aren’t experimental features,” the release states. “They’re running in production at global scale—today.”
Trusted by Leaders Across Industries
TigerData’s impact is being felt across industries that demand real-time performance and reliability.
At Lucid Motors, TigerData is used for vehicle telemetry and autonomous analytics. TigerData has become the foundation of our next-generation data infrastructure. It provides them with a unified platform to ingest high-volume vehicle telemetry, generate AI-ready embeddings from video, and run real-time, context-rich search, all within a single system.
From Hugging Face and Mistral to the Financial Times and Barclays, TigerData has become the hidden engine behind mission-critical infrastructure.
Beyond Operational Databases: The Lakehouse Bridge
TigerData is also building a bridge between operational and analytical systems, creating sync between real-time and historical data using a unified PostgreSQL engine. This architecture enables developers to write code once and query across both, without requiring separate pipelines.
Looking ahead, TigerData is developing a high-performance storage engine with compute-local caching, disaggregated replicas, and zero-copy branching, all designed to expand PostgreSQL’s use in previously specialized data infrastructure domains.
Even further out is Agentic PostgreSQL, a vision of PostgreSQL where memory and reasoning are core capabilities, not bolted-on extras. “A next-generation database infrastructure purpose-built for agents and humans,” the company calls it.
A Name That Reflects the Future
By rebranding to TigerData, the company is making clear that it’s no longer just about time-series or even just about PostgreSQL. It’s about redefining what data platforms can do in a world where everything moves in real time, and where intelligent agents are becoming part of the development stack.
“Speed, flexibility, and simplicity—delivered together, on a foundation they already trust: PostgreSQL,” said Kulkarni.
For developers and enterprises racing to keep up with the speed of data, TigerData isn’t just a new name. It’s a new way forward.
