TigerData
Postgres platform for time series, events and analytics, formerly Timescale
About TigerData
TigerData, previously known as Timescale, develops TimescaleDB, an open source PostgreSQL extension for time series and real-time analytics, and the managed Tiger Cloud service. It positions Postgres as a database for AI and agent workloads with vector search extensions. Customers include IoT, fintech and observability teams.
Common use cases
- IoT sensor data
- Financial market data
- Observability metrics
- Real-time analytics
Products and services
Tiger Cloud
Managed Postgres service with time series and analytics features.
TimescaleDB
Open source Postgres extension for time series data.
Vector extensions
Postgres tooling for embeddings and similarity search.
Key features
- Time series on Postgres
- Hypertables
- Compression
- Continuous aggregates
- Vector search
- Managed service
Integrations
- PostgreSQL
- Grafana
- Kafka
- AWS
- Prometheus
- LangChain
TigerData alternatives
FAQs
Is it still Timescale?
TigerData is the new name of the company formerly called Timescale (2025).
Is it PostgreSQL?
Yes, it extends PostgreSQL.
How is it deployed?
Managed on Tiger Cloud or self-hosted open source.

Work at TigerData? Request updates to this profile. Update this profile
Compare with similar providers
All Data Infrastructure providers
ActianHybrid data platform and databases for analytics and operational workloads- ActiveloopMultimodal AI data lake and vector store (Deep Lake)
AerospikeReal-time NoSQL database built for low-latency, high-throughput workloads- AivenManaged open source data infrastructure across clouds
Amazon Web ServicesCloud platform with compute, storage, database and analytics services- ApertureDataMultimodal database for AI with vector search and graph
- ArangoGraph-native multi-model data platform for AI applications and agents
- ArangoDBMulti-model database combining graph, document and search
Become a Sponsor



