---
title: Data | Tiger Data Docs
description: Postgres for time-series, real-time analytics and events
---

Quickstart

[Begin your journey with TimescaleDB. Learn the basics of time-series data management, create your first hypertable, and understand how to read and write time-series data efficiently.](/docs/get-started/quickstart/quickstart-5-minutes/index.md)

By use case:

[(todo)](/docs/build/examples/simulate-iot-sensor-data/index.md)

[(todo)](/docs/build/examples/analyze-financial-tick-data/index.md)

By feature:

[Explore TimescaleDB’s architecture and design principles. Learn how hypertables work, understand chunk-based partitioning, and discover best practices for designing your data model.](/docs/learn/hypertables/understand-hypertables/index.md)

[Master TimescaleDB’s powerful data management features. Work with hypertables, leverage Hypercore’s columnar storage, create continuous aggregates, optimize schemas, and automate tasks with background jobs.](/docs/learn/columnar-storage/understand-hypercore/index.md)

[Get your data into TimescaleDB efficiently. Migrate from existing databases, import data from the console or terminal, and set up continuous data ingestion pipelines.](/docs/learn/continuous-aggregates/index.md)

[Resolve common issues and optimize performance. Find solutions for query problems, data ingestion challenges, and configuration issues in your TimescaleDB deployment.](/docs/reference/timescaledb/hyperfunctions/index.md)

[(todo)](/docs/reference/timescaledb/data-retention/index.md)