Manta vs Fivetran
Side-by-side comparison of AI visibility scores, market position, and capabilities
Manta is an automated data lineage platform that traces data flows across the full technology stack, providing impact analysis and compliance documentation for enterprise data teams.
About
Manta is an automated data lineage platform that traces the complete flow of data across an enterprise's technology stack — from source databases and files through ETL tools, data warehouses, data lakes, BI platforms, and application code — by parsing the technical artifacts that define data transformations (SQL code, ETL job configurations, stored procedures, and application logic) and constructing a comprehensive lineage graph that documents every transformation step data undergoes from origin to consumption. Unlike catalog platforms that capture lineage only from query logs or metadata APIs, Manta's code-parsing approach captures lineage from the actual transformation logic even for data flows that are not logged at runtime, providing complete lineage coverage for complex enterprise environments with heterogeneous transformation tooling that mixes SQL, stored procedures, custom ETL code, and BI tool calculations.
Fully managed data pipeline platform with 500+ connectors and $5.6B valuation; automated ELT into Snowflake and BigQuery eliminating custom pipeline maintenance for data teams.
About
Fivetran is a fully managed data integration and pipeline platform that automates the extraction, loading, and transformation (ELT) of data from hundreds of business applications, databases, and APIs into cloud data warehouses like Snowflake, BigQuery, and Databricks. Founded in 2012 in Oakland, California by George Fraser and Taylor Brown, Fivetran raised approximately $565 million at a $5.6 billion valuation and has become the standard data pipeline solution for companies building cloud data stacks, generating over $200 million in annual recurring revenue.
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