Introducing Mora
SQL when you need it
full control in Mora
Write raw SQL against any connected data source, with AI-assisted autocomplete, schema exploration, and instant visualization. For power users who want full control without leaving Mora.
Three steps
no engineers required
01
Everything you need
in one single platform
AI-assisted autocomplete
Mora suggests table names, column names, joins, and common patterns as you type, context-aware and trained on your actual schema.
Natural language to SQL
Start with a description, get a query. “Show me all accounts that downgraded in Q4 with more than 5 support tickets” generates the SQL instantly. Edit the output or run it as-is.
Cross-source queries
Write a single query that joins data from Stripe, Salesforce, and your warehouse. Mora handles the federation, so you write standard SQL.
Schema explorer
Browse every connected source’s schema in the sidebar: tables, columns, data types, relationships, and sample values. No switching to a separate tool.
Query versioning
Every query is saved with full version history. Roll back to any previous version, fork queries, and track changes over time.
Parameterized queries
Add variables to your queries and reuse them as templates. “Show churn for {{segment}} in {{date_range}}” becomes a reusable tool anyone on your team can run.
Built for the moments
that drive revenue
Ad-hoc deep dives
The conversational interface got you 80% of the way. Now drop into SQL to fine-tune the query, add custom logic, or run a more complex analysis.
Data validation
Your dashboard shows a number that looks off. Open the SQL editor, inspect the underlying query, and trace the data to its source.
Complex joins and transformations
Multi-step queries that require CTEs, window functions, or custom aggregations: write them directly with full AI assistance.
Reusable reporting
Build parameterized queries that your team runs weekly. “Monthly churn report by segment” becomes a one-click operation.
Supported SQL dialects
Auto-detects PostgreSQL, Snowflake SQL, BigQuery Standard SQL, ClickHouse SQL, MySQL, and Redshift
AI autocomplete model
Context-aware, trained on your schema and query history
Max result set
100K rows in the UI; full result sets available via export (CSV, JSON)
Execution timeout
Configurable per source; defaults to 60 seconds for interactive queries
Keyboard shortcuts
Full set of editor shortcuts: run query, format SQL, toggle autocomplete, navigate history
Access controls
Query-level sharing permissions; role-based access to data sources and schemas