AI Data Merge Tool
Sourcetable's AI Data Merge Tool enables you to join datasets, combine tables, and integrate data sources intelligently. From simple joins to complex fuzzy matching - merge data effortlessly without SQL knowledge.
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Intelligent join operations
Join datasets using inner, left, right, outer, or cross joins with plain English commands. AI automatically detects join keys, handles multiple matching columns, and ensures data integrity.
Smart fuzzy matching
Match records even when keys don't match exactly. AI handles spelling variations, abbreviations, and format differences to find the right matches across datasets.
Automated conflict resolution
Handle duplicate keys, resolve data conflicts, and manage missing matches automatically. AI applies intelligent rules to combine data while preserving accuracy.
Sourcetable's AI Data Merge Tool enables you to join datasets, combine tables, and integrate data sources intelligently.
Merge datasets using natural language—no SQL required. Describe your join intent and AI executes inner, left, right, or outer joins automatically while detecting common columns and suggesting optimal join keys.
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Match records with fuzzy matching when join keys aren't perfect. Handle company name variations, misspellings, and format differences with similarity scoring and adjustable confidence thresholds for different data types.
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Handle conflicts intelligently with strategies like keeping recent values or preferring non-null data. AI manages one-to-many relationships, deduplicates results, and generates merge statistics showing match rates and data quality.
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Join datasets, match records, and integrate sources - all with natural language in your spreadsheet.
Enable analysts, operators, and business users to merge datasets without SQL expertise. Democratize data integration and make complex joins accessible to all.
Join datasets in seconds using plain English. AI detects join keys, applies appropriate join types, and handles edge cases automatically.
Match records even with imperfect data. Fuzzy matching handles spelling variations, format differences, and data quality issues that would break traditional joins.
Merge data from multiple sources systematically. Handle conflicts, resolve duplicates, and validate results to ensure accurate, trustworthy integrated datasets.
Team Purple
Chris Aubuchon
@ChrisAubuchon
Spreadsheets are still the best interface for so many real world projects, it's time for @SourcetableApp to give them a reboot
Micah Alpern
@malpern
Love seeing innovation in this space after so many decades with very little.
Sourcetable's AI can merge CSV files, Excel spreadsheets, database tables, JSON files, and data from APIs. It handles different file formats, column structures, and data types automatically.
Sourcetable's AI analyzes column names, data types, and values to intelligently identify join keys. You can also specify which columns to match on. Sourcetable's AI handles variations like 'customer_id', 'CustomerID', and 'ID' referring to the same field.
Yes, Sourcetable's AI can perform inner joins, left joins, right joins, outer joins, and even complex multi-way joins. Simply describe which data you want to keep ('all records from file A', 'only matching records', etc.).
Sourcetable's AI handles mismatches intelligently: it can fuzzy match similar values, standardize formats before joining, handle missing matches, and flag problematic records for your review.
Yes, Sourcetable's AI can merge multiple datasets in a single operation. Describe the relationships between your data sources and Sourcetable's AI will perform the appropriate multi-way join.
Unlike VLOOKUP which has strict limitations, or SQL which requires query knowledge, Sourcetable's AI handles merges with natural language. It's as powerful as SQL but as easy as describing what you want to combine.