Features
Native vector search for AI applications
Full-text search with relevance ranking
Hybrid search combining vector and lexical search
Native reranking for improved retrieval accuracy
Multi-cloud database deployment (AWS, Azure, Google Cloud)
Stream processing for real-time data pipelines
Data federation across multiple sources
Built-in charts and visualization
Document model with flexible schema
Horizontal scaling and load balancing
Enterprise-grade security and compliance
Atlas SQL Interface for SQL-based querying
Online Archive for cost-effective data tiering
Relational Migrator for database migrations
Search and vector search available on-prem (Enterprise Advanced, Community Edition)
Natural language AI writes Python, SQL, formulas, charts
Live data connectors: Postgres, MySQL, Snowflake, BigQuery, QuickBooks, Plaid
MCP support for AI agents (Claude, Cursor, ChatGPT)
API for reading/writing cells and triggering AI runs
Import CSV, Excel, PDF, Google Sheets
Scheduled tasks for automated data refresh
Conditional formatting and merged cells
STOCKHISTORY function for financial data
Images and embeds in spreadsheets
AI-generated code with explanations that are editable
Collaborative sharing with repeatable insights
Folders for organizing files
Python, SQL, JavaScript, and formula cells
Agent Sync to link apps and APIs into spreadsheets
SOC 2 and HIPAA certified
