Most GTM tools let you filter. Transform Data lets you compute.Joins, aggregations, derived fields, deduplication, custom calculations — anything you can express in SQL, you can run across Landbase’s entire dataset. This is the power tool for GTM engineers who need to answer questions that filters can’t.
Derived attributes — “companies where >30% of employees are in engineering” (compute the ratio, filter on it)
Cross-dataset joins — combine company data with job posting data to find companies hiring for specific roles in specific locations
Deduplication — merge overlapping lists, resolve conflicts, pick the best record per company
Custom scoring — build a composite score from multiple signals and rank your TAM by it
Keyword intelligence — built-in functions for matching keywords and job titles with boundary awareness
Show What's happening under the hood
The query runs on a distributed compute cluster. Datasets are read from cloud storage (pre-partitioned files). The system validates your query with a dry-run before committing compute. Custom functions for keyword and job title matching are registered automatically. Output is written to cloud storage and optionally copied to Google Drive. A status page tracks execution progress.
Transform Data can query across Landbase’s core datasets including company, person, and job posting data — as well as any custom datasets you’ve registered.
