AVA combines the speed of columnar databases with built-in AI capabilities. Analyze terabytes of data and run machine learning models with simple SQL.
Query billions of rows in seconds with columnar storage and intelligent caching.
Run regression models, predictions, and analytics directly in SQL—no external tools needed.
Reduce storage by 90% with LZMA compression while maintaining query performance.
Python, R, SQL interfaces. Work with your favorite tools and languages.
# Load data and run regression in 3 lines
import avapy
avapy.LoadTable("sales.csv", "sales")
avapy.asql("""
REGRESS revenue FROM sales
USING marketing_spend, season, region
""")Optimized for analytical queries with vectorized execution
Block-based compression for efficient storage and fast access
Linear regression and predictive models without data movement
Direct integration with NumPy and Pandas for data science workflows