Connect Databricks, Delta Lake, and Unity Catalog as governed lakehouse sources for AI answers. Answerplane understands Spark SQL and catalog lineage so teams can inspect plans before publishing outputs.
14-day trial / no credit card / 150 governed questions included
Scope Databricks, inspect the plan, and publish governed answers
Provide Databricks connection details (workspace URL, access token, SQL warehouse ID or cluster ID). Supports personal access tokens and OAuth.
Answerplane introspects your catalogs, schemas, tables, views, and Delta tables. Understands Unity Catalog structure and metadata.
Ask 'What's the revenue trend by product?' or 'Show me recent data changes'. Then inspect the optimized Spark SQL and Unity Catalog context before reuse.
Optimized for Databricks's unique capabilities
Builds Spark SQL plans optimized for Databricks and Delta Lake. Understands Delta-specific features like time travel, MERGE, and schema evolution.
Works with Unity Catalog's three-level namespace (catalog.schema.table). Respects data governance, lineage, and access controls.
Builds plans optimized for lakehouse architecture with proper partitioning, predicate pushdown, and Z-ordering considerations.
Compatible with Databricks SQL endpoints for fast analytics queries. Understands Photon acceleration and serverless compute.
See how governed questions become inspectable Databricks plans
"Show top products by sales volume"
SELECT
product_name,
SUM(quantity) AS total_quantity,
SUM(revenue) AS total_revenue
FROM main.sales.orders
GROUP BY product_name
ORDER BY total_revenue DESC
LIMIT 10;Explanation: Unity Catalog three-level namespace (catalog.schema.table)
"Query Delta table as of yesterday using time travel"
SELECT
customer_id,
order_total,
order_date
FROM main.sales.orders VERSION AS OF 'yesterday'
WHERE order_total > 1000;Explanation: Delta Lake time travel with version as of timestamp
"Get incremental changes using Delta change data feed"
SELECT
customer_id,
order_id,
_change_type,
_commit_version
FROM table_changes('main.sales.orders', 0)
WHERE _change_type IN ('insert', 'update_postimage');Explanation: Delta Lake change data feed for incremental processing
"Calculate rolling 7-day average revenue"
SELECT
order_date,
daily_revenue,
AVG(daily_revenue) OVER (
ORDER BY order_date
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
) AS rolling_avg_7day
FROM (
SELECT
DATE(order_timestamp) AS order_date,
SUM(order_total) AS daily_revenue
FROM main.sales.orders
GROUP BY order_date
)
ORDER BY order_date DESC;Explanation: Window function for moving averages in Spark SQL
"Find customers who made purchases in multiple categories"
SELECT
c.customer_name,
COUNT(DISTINCT p.category) AS category_count,
COLLECT_SET(p.category) AS categories_purchased
FROM main.crm.customers c
JOIN main.sales.orders o ON c.customer_id = o.customer_id
JOIN main.inventory.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;Explanation: Uses Spark SQL COLLECT_SET for array aggregation
"Parse nested JSON in struct columns"
SELECT
event_id,
event_data.timestamp AS event_time,
event_data.user.id AS user_id,
event_data.user.name AS user_name,
event_data.action AS action_type
FROM main.analytics.events
WHERE event_data.action = 'purchase';Explanation: Dot notation for querying nested struct columns
These are just a few examples. Answerplane keeps the plan, query, and provenance visible before teams save or embed an answer.
Your Databricks data is protected with enterprise-grade security
Read-only access enforced via Databricks workspace permissions
Personal access tokens encrypted at rest with AES-256
Supports Unity Catalog's fine-grained access controls
Respects row filters and column masks defined in Unity Catalog
Query execution on isolated SQL warehouses or clusters
Audit logs track all queries for compliance
Multi-tenant organization-level isolation
No wholesale source-data replication; saved artifacts retained only when features require it
Everything you need to know about using Answerplane with Databricks
Go to Settings > Databases > Add Database, select Databricks, and provide your workspace URL (e.g., https://dbc-12345.cloud.databricks.com), personal access token, and SQL warehouse ID or cluster ID.
Yes! Answerplane fully supports Unity Catalog's three-level namespace (catalog.schema.table). It respects your data governance policies, access controls, and lineage tracking.
Yes. Answerplane builds reviewable Spark SQL plans for Delta Lake tables and supports Delta-specific analytics features like time travel and change data feed. Write-oriented MERGE operations should stay outside read-only answer flows.
Yes! Answerplane works with Databricks SQL endpoints (SQL warehouses) for fast analytics. It's optimized for Photon-accelerated queries and serverless compute.
Yes. If Databricks exposes external tables or governed cloud-storage access, Answerplane can plan answers over that data using Spark SQL while preserving catalog and source context.
Answerplane focuses on reviewable SQL plans via Databricks SQL or clusters. It does not directly execute notebook cells, but approved plans can be copied into notebooks when your workflow requires it.
Answerplane builds Spark SQL plans. Complex DataFrame transformations that require PySpark or Scala should remain in your engineering workflow, with Answerplane used for governed answer planning around the SQL-accessible layer.
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.
Yes! Answerplane works with Databricks on all cloud platforms: AWS, Azure (Microsoft Azure), and Google Cloud Platform.
Yes. You can ask questions like 'Show me data from yesterday' and Answerplane will draft reviewable plans using Delta's VERSION AS OF or TIMESTAMP AS OF syntax.
Still have questions?
Contact our teamLet teams ask questions, inspect plans, and publish trusted Databricks answers with provenance attached.
14-day trial / no credit card / 150 governed questions included