Know Your Data Inside and Out
Automatically analyze every table in your data warehouse. Get instant visibility into row counts, null rates, unique values, distributions, and more—without writing a single query.
Complete Visibility Into Your Data
Connect
Connect your Snowflake data warehouse with secure key-pair authentication. Takes less than 5 minutes.
Profile
Sparvi automatically profiles all your tables, collecting statistics on every column.
Monitor
Track how your data changes over time. Get alerted when profiles drift from baselines.
Statistics We Collect
Sparvi captures comprehensive metadata about every column in your tables.
Row Counts
Total records and daily changes
Null Rates
Percentage of missing values
Unique Values
Cardinality for each column
Data Types
Column types and consistency
Min/Max Values
Range boundaries for numerics
Mean & Median
Central tendency metrics
Standard Deviation
Value spread and variability
Distributions
Value frequency histograms
Why Teams Choose Sparvi for Data Profiling
SELECT
COUNT(*) as total_rows,
COUNT(email) as non_null,
COUNT(DISTINCT email) as unique_vals,
ROUND(100.0 * SUM(
CASE WHEN email IS NULL
THEN 1 ELSE 0 END
) / COUNT(*), 2) as null_pct
FROM customers;
Frequently Asked Questions
What is data profiling?
Data profiling is the process of examining data to collect statistics and information about it. This includes metrics like row counts, null rates, unique values, min/max values, and value distributions. Sparvi automates this process for all your tables.
How does Sparvi's data profiling work?
Sparvi connects to your data warehouse and automatically profiles all tables. It collects statistics on every column including data types, null percentages, unique counts, and value distributions. Profiling runs on a configurable schedule to track changes over time.
What statistics does Sparvi collect during profiling?
Sparvi collects comprehensive statistics including: row counts, column counts, data types, null rates, unique value counts, min/max values for numeric columns, mean/median/standard deviation, value frequency distributions, and pattern analysis for text fields.
How often should I profile my data?
It depends on how frequently your data changes. For tables that update daily, daily profiling is recommended. For more static reference tables, weekly profiling may be sufficient. Sparvi lets you configure schedules per table based on your needs.
Start Profiling Your Data Today
Get complete visibility into your data quality in minutes, not months.
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