Create, import, and export tables

Deephaven excels as an interface for ingesting data, parsing it as a table, and manipulating the data. However, Deephaven also includes a range of versatile methods for creating tables from scratch.

This section of the user guide covers various ways of creating Deephaven tables, be it from scratch with "synthetic" data or by importing data from external sources. You can also export your data into popular formats, iterate over table data, and replay historical data in real time. Below you will find a range of how-to guides and supporting documentation to get you started.

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Simple table constructors

Synthesize simple tables -- both static and ticking.

Advanced table constructors

Write data to real-time tables.

Import and export data

Read static or streaming data in various formats into Deephaven tables, and export data to popular formats.

Listen to ticking tables

Create dynamic queries that update in real time.

Extract rows from tables

Efficiently iterate over table data via native Python objects.

Replay table data

Replay historical data in real time.

Cheat sheets

Quick reference guides for creating tables.

Table types to support streaming

Table specializations that cover all of your real-time use cases.