CSV Merge / Match / Compare Utility
The CSV Comparison Utility is a convenient tool that streamlines data set comparison by merging, matching, and comparing data between two .csv files. This tool identifies common record values, highlights discrepancies, and consolidates information based on your defined matching criteria.
How It Works
The utility compares two CSV files based on a common column that you specify. It matches and aligns data based on common field entries, highlighting unique rows from each file. This makes it easy to identify what data exists in one file but not the other, or to merge related data from two different sources.
Before You Begin
To use the CSV Comparison Utility, ensure the following:
- Common Column Header: Both .csv files must have a column with the exact same header title for comparison.
- Column Position: In both files, make sure the match target column is the first column in each .csv file.
Steps to Compare CSV Files
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Go to the CSV Comparison Utility:
Visit utility.dnsai.com to access the tool.
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Upload Your First CSV File:
Select and upload the first .csv file you want to compare.
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Upload Your Second CSV File:
Select and upload the second .csv file for comparison.
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Run the Comparison:
The tool will automatically match and align data based on the common column entries.
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Review Your Results:
View the comparison results which highlight matching records, unique rows from each file, and any discrepancies found.
Common Use Cases
This utility is ideal for:
- Merging company data with DNS lookup reports
- Comparing email lists to identify additions or removals
- Matching Message ID reports across different systems
- Consolidating data from multiple sources based on a common identifier
- Identifying discrepancies between two versions of a data set
Tips for Best Results
- Ensure your column headers are spelled exactly the same in both files
- Remove any extra spaces or special characters from the matching column
- Verify that the data format in the matching column is consistent across both files
- For large files, ensure your data is clean and properly formatted before uploading