World’s First & Only
NoSQL Business Intelligence and Analytics Platform
1990 – 2002
1st Gen desktop
1 hr per ad-hoc query for 100m rows of data
2003 – 2015
2nd Gen single-server cloud
STILL 1 hr per ad-hoc query for 100m rows of data
3rd Gen full cloud, NoSQL
0.1 sec per ad-hoc query for 100m rows of data
Company-Wide Data Solutions
Made for Analysts
Made for Business Users
Built to Answer Questions
You haven’t seen “fast” yet
We’ve heard professionals use the word “fast” to describe 2-minute load times for canned reports. When we say Numetric is fast, we mean millisecond ad-hoc queries. Simply search or click anything and the rest of the Workbook filters instantly. This approach answers questions as quickly as they come up and negates countless report variations.
You haven’t seen “easy” yet
We simplified data exploration by merging report building and analysis into a single experience. Then, we prioritized answering questions over chart options. Just tell us what you want to know and how you want that information grouped. Let other services give you endless configuration. We’ll answer your questions before you can find their report.
Watch us make this Workbook in under a minute
Not only are our Workbooks the most capable and usable visualizations on the market, they’re also the fastest to create. If you can drag and drop, you can make a Numetric Workbook.
Step1: Learn R (You’ll likely have a PhD when you’re done)
Step 2: Install and activate the ‘dplyr’ package
Step 3: Write some code
county <- county=”” %=””>% </->
Region = ifelse(countyNumber > 10 &
countyNumber < 15 &
The Numetric Way
Map each dataset individually by manually connecting primary keys with foreign keys. List columns, tables, and transformations multiple times to account for all data arrangements. If you’ve ever had to change one of these schemas . . . we’re so sorry.
The Numetric Way
Dictionary maps the relationships for your entire warehouse to be used as a recipe. Create a term. Add columns to it. You’ve just documented and enforced your data language and told us how tables relate to each other, making it easy for anyone to create their own datasets.