What's new

Read our What's New posts to learn about recent features and announcements for Amazon Redshift and Redshift Spectrum.

Need help with your proof-of-concept?

If you are building a proof-of-concept solution with Amazon Redshift, we recommend that you read Building a Proof of Concept for Amazon Redshift. To request assistance from us for your proof-of-concept, click here.

Documentation

Getting Started Guide: Introduces you to Amazon Redshift, helps you set up an account, and walks you through a simple example to use Amazon Redshift for the first time. Also provides tips and links to advanced product features and resources. HTML | PDF | Kindle

Amazon Redshift Cluster Management Guide: Shows you how to create and manage Amazon Redshift clusters. HTML | PDF | Kindle

Amazon Redshift Database Developer Guide: Explains how to design, build, query, and maintain the databases that make up your data warehouse. It also includes syntax for Amazon Redshift SQL commands and functions. HTML | PDF

Amazon Redshift API Reference: Describes all the API operations for Amazon Redshift in detail. It also provides sample requests, responses, and errors for the supported web services protocols. HTML | PDF

Amazon Redshift CLI Guide: Describes the command line interface for Amazon Redshift in detail. It provides basic syntax, options, and usage examples for each command. HTML

Getting started videos

Amazon Redshift pause and resume (2:26)
Amazon Redshift materialized views (4:39)
Easily upgrade your node type on Amazon Redshift (2:45)
Amazon Redshift data lake export (4:57)
Amazon Redshift federated query (6:18)
Getting started with Amazon Redshift (7:31)
See all getting started videos »

Best practices

Loading Data: Load your data efficiently using COPY commands, bulk inserts, and staging tables. Learn more »

Designing Data Warehouse Schema: Design your database for high query performance, low storage and memory requirements, and minimal I/O operations. Learn more »

Tuning Query Performance: Tune your queries for maximum performance using these tips and tactics. Learn more »

Tuning and management scripts & tools

Amazon Redshift Admin Scripts   

SQL scripts for running diagnostics on your Amazon Redshift cluster using system tables. Download here »

List of Scripts:

  • top_queries.sql - returns top 50 most time-consuming statements in the last 7 days
  • perf_alerts.sql - returns top occurrences of alerts, join with table scans
  • filter_used.sql - returns filter applied to tables on scans to aid in choosing sortkey
  • commit_stats.sql - shows information on consumption of cluster resources through COMMIT statements
  • current_session_info.sql - shows information about sessions with currently running queries
  • missing_table_stats.sql - shows EXPLAIN plans which flagged "missing statistics" on the underlying tables
  • queuing_queries.sql - lists queries which are waiting on a WLM Query Slot
    table_info.sql - Return Table storage information (size, skew, etc) 

Admin SQL Views    

SQL Views for managing your Amazon Redshift Cluster and generating Schema DDL. All Views assume you have a schema called Admin. Download here »

List of views:

  • v_check_data_distribution.sql - get data distribution across slices
  • v_constraint_dependency.sql - get the the foreign key constraints between tables
  • v_generate_group_ddl.sql - get the DDL for a group
  • v_generate_schema_ddl.sql - get the DDL for schemas
  • v_generate_tbl_ddl.sql - get the DDL for a table, contains distkey, sortkey, & constraints
  • v_generate_unload_copy_cmd.sql - generate unload and copy commands for an object
  • v_generate_user_object_permissions.sql - get the DDL for a user’s permissions to tables and views
  • v_generate_view_ddl.sql - get the DDL for a view
  • v_get_obj_priv_by_user.sql - get the table/views that a user has access to
  • v_get_schema_priv_by_user.sql - get the schema that a user has access to
  • v_get_tbl_priv_by_user.sql - get the tables that a user has access to
  • v_get_users_in_group.sql - get all users in a group
  • v_get_view_priv_by_user.sql - get the views that a user has access to
  • v_object_dependency.sql - merge the different dependency views together
  • v_space_used_per_tbl.sql - pull space used per table
  • v_view_dependency.sql - get names of views that are dependent on other tables/views
  • v_check_transaction_locks.sql - get info on locks held by open transactions
  • v_check_wlm_query_time.sql - get WLM wait time & execution time for past 7 days
  • v_check_wlm_query_trend_daily.sql - get WLM query Count, wait time, execution time by day
  • v_check_wlm_query_trend_hourly.sql - get WLM query count, wait time, execution time by hour
  • v_generate_cancel_query.sql - get cancel query
  • v_get_cluster_restart_ts.sql - get datetime when cluster was recently restarted
  • v_get_vacuum_details.sql - get vacuum details

Column Encoding Utility

Determine optimal compression for your Amazon Redshift data with this utility. Download here »

Unload/Copy Utility

Easily migrate data between two Amazon Redshift tables that may be in different databases, clusters, or regions. All exported data is encrypted with AWS Key Management Service (KMS). You can use this utility to supplement AWS Data Pipeline to routinely move data between systems, such as between production and test, or for maintaining read-only copies on other clusters. Download here »

Community contributed functions & tools

Analytics & Admin Tools

Easily  

Common User-Defined Functions (UDF). A collection of helpful UDFs for everyone to use. Contributed by Periscope. Learn More » | Download here »

Yelp’s ETL tool for Amazon Redshift. Use Yelp's Mycroft to automatically load data into Amazon Redshift. Read this blog post for more information. Download here »

Framework for developing UDFs. To make development easier, Periscope has built a framework for managing and testing UDFs. Contributed by Periscope Data. Download here »

re:Dash. A free open source data collaboration and visualization platform built to allow fast and easy access to billions of records. Features include a schema browser, improved scheduling, autocomplete, and ability to write Python queries. Contributed by Everthing.me. Download here »

EverythingMe's Amazon Redshift Admin Dashboard. Monitor running queries, WLM queues, and your tables/schemas with this user-friendly tool. Contributed by EverythingMe. Download here »

Spark-Redshift Library. Use this library to load data from Amazon Redshift into an Apache Spark SQL DataFrames, and write data from Apache Spark back into Amazon Redshift. Good example of using AVRO ingestion with Amazon Redshift. Contributed by Swiftkey. Download here »

Blog posts

We have a rich set of blog articles that provide use case and best practices guidance to help you get the most out of Amazon Redshift. Access our full list of blog articles through the resources below.

No blog posts have been found at this time. Please see the AWS Blog for other resources.

Read more Amazon Redshift articles on the AWS News Blog.

Learn about best practices, feature capabilities, and customer use cases on the AWS Big Data Blog.

Learn how to migrate from an on-premises data warehouse to Amazon Redshift, and more, on the AWS Databases Blog.

Webinars

Data warehousing 2019 year-in-review and 2020 predictions

Hear about the four areas the Amazon Redshift team invested in on behalf of our customers in 2019, and to hear predictions about what to expect in 2020.

Watch video » 

Unify your data warehouse and data lake with AWS

Learn how to break down data silos with a lake house approach to data warehousing in this 300-level Tech Talk.

Watch video » 

Practical tips for migrating your IBM Netezza data warehouse to the cloud

Understand how to prep and plan for a migration from IBM Netezza to Amazon Redshift.

Watch video » 

Stay up to date with AWS webinars.

Selected event sessions

AWS re:Invent 2019: Deep dive and best practices for Amazon Redshift ANT418 (57:36)
AWS re:Invent 2019: What’s new with Amazon Redshift, featuring Yelp ANT320-R1 (57:13)
AWS re:Invent 2019: Migrate your data warehouse to the cloud, featuring Nielsen ANT334-R1 (50:39)
AWS re:Invent 2019: How to scale data analytics w/ Amazon Redshift & Warner Bros ANT335-R1 (1:01:47)
AWS re:Invent 2019: [NEW LAUNCH!] Amazon Redshift reimagined: RA3 and AQUA ANT230 (44:29)
AWS re:Invent 2019: State-of-the-art cloud data warehousing, featuring Asurion ANT213-R1 (58:35)

Learn more about Amazon Redshift pricing

Visit the pricing page
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