01governed
Connect Your Redshift Cluster
Provide Redshift connection details (cluster endpoint, database name, username, password). Supports both provisioned clusters and Redshift Serverless.
Governed Redshift Answers
Connect Amazon Redshift and Redshift Serverless as governed warehouse sources for AI answers. Answerplane understands MPP architecture, distribution styles, sort keys, and PostgreSQL-based SQL so teams can inspect lineage-backed analytics.
14-day trial / no credit card / 150 governed questions included
amazon redshift / approved_sourcegoverned
Revenue$128k
Orders1,240
Avg order$103
Revenue by monthSample / last 12 months
From source to a reviewable answer.
Scope Amazon Redshift, inspect the plan, and publish governed answers.
02governed
Build Live Source Context
Answerplane introspects your Redshift schemas, tables, views, external tables (Spectrum), and understands distribution and sort key configurations.
03governed
Inspect the Redshift Plan
Ask 'What are the top selling products?' or 'Show me customer churn rates'. Then inspect the optimized Redshift SQL and source lineage before saving.
Amazon Redshift capabilities, kept visible.
The source model stays aligned with Amazon Redshift's capabilities instead of flattening every question into generic SQL.
Redshift SQL Optimized
Builds SQL plans for Redshift's MPP architecture. Uses distribution keys, sort keys, and compression context for efficient execution review.
Spectrum & Data Lake Support
Query data in S3 via Redshift Spectrum seamlessly. Generate queries that span internal tables and external data in your data lake.
PostgreSQL Compatibility
Leverages Redshift's PostgreSQL foundation with support for window functions, CTEs, and familiar PostgreSQL syntax adapted for columnar storage.
RA3 & Serverless Ready
Optimized for both Redshift RA3 instances with managed storage and Redshift Serverless for automatic scaling.
Questions become inspectable work.
See how governed questions become inspectable Amazon Redshift plans, with the source and result attached.
“Show top 10 customers by total orders”
SELECT
customer_name,
COUNT(DISTINCT order_id) AS order_count,
SUM(order_total) AS total_revenue
FROM orders
GROUP BY customer_name
ORDER BY total_revenue DESC
LIMIT 10;Basic aggregation with GROUP BY and LIMIT
“Query external data in S3 using Spectrum”
SELECT
year,
month,
COUNT(*) AS event_count,
SUM(revenue) AS monthly_revenue
FROM spectrum.external_events
WHERE year >= 2024
GROUP BY year, month
ORDER BY year, month;Redshift Spectrum query for external S3 data
“Calculate running total of sales by date”
SELECT
sale_date,
daily_sales,
SUM(daily_sales) OVER (
ORDER BY sale_date
ROWS UNBOUNDED PRECEDING
) AS cumulative_sales
FROM (
SELECT
DATE(order_timestamp) AS sale_date,
SUM(order_total) AS daily_sales
FROM orders
GROUP BY sale_date
)
ORDER BY sale_date;Window function for cumulative sum
“Find customers with purchases across multiple categories”
SELECT
c.customer_id,
c.customer_name,
COUNT(DISTINCT p.category) AS category_count,
LISTAGG(DISTINCT p.category, ', ') AS categories
FROM customers c
JOIN orders o ON c.customer_id = o.customer_id
JOIN products p ON o.product_id = p.product_id
GROUP BY c.customer_id, c.customer_name
HAVING COUNT(DISTINCT p.category) > 1
ORDER BY category_count DESC;Uses Redshift LISTAGG for string aggregation
“Get monthly active users with window function”
SELECT
DATE_TRUNC('month', event_date) AS month,
COUNT(DISTINCT user_id) AS monthly_active_users,
LAG(COUNT(DISTINCT user_id), 1) OVER (ORDER BY DATE_TRUNC('month', event_date)) AS prev_month_users
FROM user_events
GROUP BY month
ORDER BY month DESC;LAG window function for period-over-period comparison
“Parse JSON data using JSON functions”
SELECT
event_id,
JSON_EXTRACT_PATH_TEXT(event_data, 'user', 'id') AS user_id,
JSON_EXTRACT_PATH_TEXT(event_data, 'action') AS action_type,
JSON_EXTRACT_PATH_TEXT(event_data, 'timestamp') AS event_time
FROM events
WHERE JSON_EXTRACT_PATH_TEXT(event_data, 'action') = 'purchase';Redshift JSON_EXTRACT_PATH_TEXT for querying JSON columns
These are a few examples. Answerplane keeps the plan, query, and provenance visible before teams save or embed an answer.
Source access stays bounded.
Your Amazon Redshift data is protected with enterprise-grade security.
01
Read-only database user privileges enforced
02
Credentials encrypted at rest with AES-256
03
SSL/TLS required for all connections to Redshift
04
Query execution timeouts prevent runaway queries
05
Supports IAM authentication for passwordless access
06
Respects Redshift row-level security policies
07
Multi-tenant organization-level isolation
08
Comprehensive audit logging via CloudTrail integration
Questions about the connection.
What teams usually ask before using Answerplane with Amazon Redshift.
How do I connect my Amazon Redshift cluster?
Go to Settings > Databases > Add Database, select Amazon Redshift, and provide your cluster endpoint, database name, username, and password. For Redshift Serverless, use the workgroup endpoint.
Does Answerplane support Redshift Spectrum?
Yes. Answerplane can plan governed answers over Redshift Spectrum external tables in S3, with internal/external joins visible in the reviewable SQL plan.
Can I use Answerplane with Redshift Serverless?
Absolutely. Answerplane works with both provisioned Redshift clusters and Redshift Serverless workgroups. Just provide the appropriate endpoint.
How does Answerplane optimize queries for Redshift?
Answerplane builds Redshift plans around columnar storage, distribution keys, and sort keys. WHERE clauses, JOINs, and aggregations stay visible for MPP cost and performance review.
Does it support Redshift's PostgreSQL compatibility?
Yes. Redshift is based on PostgreSQL, and Answerplane can build plans using Redshift's PostgreSQL-compatible SQL syntax including CTEs, window functions, and subqueries.
Can Answerplane query data from AWS Glue Data Catalog?
Yes. If you've configured Redshift Spectrum with AWS Glue, Answerplane can plan governed answers over tables defined in your Glue Data Catalog.
What about IAM authentication?
Answerplane supports IAM database authentication for Redshift, eliminating the need to manage database passwords. Configure IAM auth in your Redshift cluster settings.
Is my Redshift data secure?
Yes. We enforce read-only access, encrypt credentials at rest, and rely on your source permissions as the system of record. We do not ingest or replicate source contents wholesale; saved chats, dashboards, exports, uploads, and materialized artifacts are retained only when you use those features.
Can I query across multiple Redshift databases?
Redshift doesn't support cross-database queries directly. However, Answerplane can connect to multiple Redshift databases separately, and you can switch between them.
Does Answerplane work with Redshift RA3 instances?
Yes! Answerplane is optimized for both DC2 (compute-optimized) and RA3 (storage-optimized) instance types, as well as Redshift Serverless.
Still have questions?
Contact our teamConnect Amazon Redshift to governed AI answers with source control.
Let teams ask questions, inspect plans, and publish trusted Amazon Redshift answers with provenance attached.
14-day trial / no credit card / 150 governed questions included
Try with your own approved source, or use the browser-only sample to inspect the flow first.
Open the sample dashboard