Amazon Redshift is built around industry-standard SQL, with added functionality to manage very large datasets and support high-performance analysis and reporting of those data.

Existing Python UDFs will continue to function until June 30, 2026. For more information, see the blog post ... The SQL language consists of commands that you use to create and manipulate database objects, run queries, load tables, and modify the data in tables.

A SqlDialect implementation for the Redshift database.

Answer (1 of 2): SQL. Look into the Amazon RedShift documentation for more details.

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For example, we can specify the ENCODE for a column: >>> product = sa.Table( ... 'product', ... metadata, ... sa.Column('id', sa.Integer, primary_key=True), ... sa.Column('name', sa.String, redshift_encode='lzo') ... ) >>> print(CreateTable(product).compile(engine)) <BLANKLINE> CREATE TABLE product ( id INTEGER NOT NULL, name VARCHAR ENCODE lzo, PRIMARY KEY (id) ) <BLANKLINE> <BLANKLINE> The TIMESTAMPTZ and TIMETZ column types are also supported in the DDL. For SQLAlchemy versions < 1.3.0, passing Redshift dialect options as keyword arguments is not supported on the column level.

Amazon Redshift dialect for SQLAlchemy.

This is based around the PostgreSQL spec. Many other SQL instances are often based on PostreSQL syntax. If you’re running an unsupported dialect, then this is often the dialect to use (until someone makes a specific dialect). The dialect for Amazon Redshift.

Redshift is at its core a relational database based on PostgreSQL. In addition to reading from the regular relational database, this SQL dialect adapter also supports reading from Redshift Spectrum.

November 17, 2021 - Because psycopg2 is a Postgres ... Redshift SQLAlchemy dialect uses the Amazon Redshift Python driver (redshift_connector) and lets you securely connect to your Amazon Redshift database....

Support Redshift SQL dialect in OpenLineage's SQL parser. Note, this does not add support for all of the Redshift's custom syntax. This adds support for Redshift dialect quirks, like usage of squar...

Handles Redshift-specific ``CREATE TABLE`` syntax. · Users can specify the `diststyle`, `distkey`, `sortkey` and `encode` properties per table and per column. · Table level properties can be set using the dialect specific syntax. For · example, to specify a distribution key and style you apply the following: · >>> import sqlalchemy as sa ·

Provides a reference to compare statements, functions, data types, and other SQL objects between the Amazon Redshift and GoogleSQL dialects.

In this tutorial, we show how to write Amazon Redshift SQL statements.

Amazon Redshift is specifically designed for online analytic processing (OLAP) and business intelligence (BI) applications, which require complex queries against large datasets. Because it addresses very different requirements, the specialized data storage schema and query execution engine that Amazon Redshift uses are completely different from the PostgreSQL implementation.

Register RedshiftImpl as an alembic 3rd party dialect. First version of sqlalchemy-redshift that can be installed from PyPI

March 19, 2026 - With Amazon Redshift, you can leverage SQL to efficiently query and analyze vast amounts of data stored in your data warehouse. The SQL reference covers the syntax and usage of SQL commands, data types, functions, operators, and more, empowering you to extract insights and make data-driven ...