Posted on November 3, 2026
Every Snowflake account carries the same hidden cost. Customers appear multiple times under multiple spellings. Suppliers are split across variations of company names such as "Acme Corp", "ACME Corporation", and "Acme, Inc." Addresses that describe one building look like four distinct addresses. The cost to store, scan, join, and report on low quality data is paid for every single day, and every dashboard, model, and AI initiative built on top inherits the noise. The Interzoid Snowflake Matching Wizard finds these data issues directly inside your Snowflake tables, at high speed, so you can consolidate them and start getting full value from the data you already have.
A GROUP BY or a DISTINCT only catches duplicates that are spelled identically, and real data almost never is. The wizard applies Interzoid's AI-enhanced similarity algorithms to organization names, individual names, and street addresses, recognizing that "I.B.M. Corp" and "International Business Machines" are one company, that "Jim Johnston" and "J. Johnston" are one person, and that "400 E Broadway St" and "400 East Broadway Street" are one address. Combination matching requires two fields to agree at once, so the Dallas branch and the Phoenix branch stay separate even while both spell the parent company four different ways.
Each record receives a similarity key representing the entity behind the text rather than the characters themselves. Records that share a key are a match. The keys make every result auditable, and they can be loaded back into Snowflake for joins, deduplication, golden-record selection, and consolidation logic of your own.
The wizard reads directly from Snowflake and processes records through a parallel, multi-threaded cloud architecture, so tables with hundreds of thousands of rows return match reports in minutes rather than hours. There is no export to a file, no staging area, and no copy of your data to manage afterward. You point it at a warehouse, database, schema, and table, and it reads only the columns you select, in read-only mode. Nothing is written back and nothing is created in your account.
Good ROI starts with knowing the investment. Choose a table and the wizard counts its rows and shows the record count, the credit estimate, and how that compares with your current balance before you click Run. A ten-million-row table is never a surprise, and you can decide up front whether to match the whole table or start with a filtered view.
The wizard is a guided, step-by-step flow that needs no SQL and no scripting. Connect, select a table, and the wizard pre-selects the columns to match on from their names, previews the first rows with the mapped columns highlighted, and shows you exactly what the first record will send to the matching engine. Confirm, run, and the results arrive in an interactive spreadsheet view that shades each group of matching records, keeps unmatched records visibly separate, and lets you search, sort, and page through even the largest reports. Save the report as a file, or open it as text, and act on it.
The wizard connects using Snowflake's own key-pair authentication, which Snowflake recommends for applications and which is unaffected by its mandatory MFA rollout, and it can generate and register the key pair for you in about a minute with no command line. Programmatic access tokens are supported as well. It works on every Snowflake cloud, region, and edition, with tables, views, shared databases, and Reader Accounts for sharing only the data you choose. Everything the wizard does is also available as a REST API for automated data pipelines.
Cleaner master data means fewer rows to store and scan, joins that actually join, reports that count each customer once, segments that are not diluted by duplicates, and AI models trained on signal instead of repetition. Interzoid's Snowflake Matching Wizard turns that from a quarterly cleanup project into something you can run against any table, any time, in minutes.
Open the Snowflake Matching Wizard and generate your first match report, see a sample match report, or learn more about Interzoid for Snowflake.