Manta logo

Manta

Growth

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.

Best for: Automated Data Lineage & Impact Analysis
52
AI Score
Grade C
AI Visibility Score (Beta)
Data & AnalyticsAutomated Data Lineage & Impact AnalysisWebsiteUpdated October 2026

Brand Intelligence Graph

Capabilities
Automated Data Lineage & Impact Analysis

Company Overview

About Manta

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.

Business Model & Competitive Advantage

Manta's impact analysis capability is its most operationally valuable feature for data engineering and governance teams — given a specific data field or table, impact analysis traverses the lineage graph to identify every downstream report, dashboard, model, and application that depends on that asset, enabling data teams to assess the full blast radius of a proposed change or an upstream data quality incident before taking action. This capability transforms what would otherwise be a manual discovery process requiring coordination across multiple teams into an automated query of the lineage graph, reducing the time needed to assess change impact from days to minutes. Manta also provides compliance documentation features that leverage lineage data to generate data flow diagrams and processing records for GDPR, CCPA, and other regulatory frameworks that require organizations to document how personal data moves through their systems.

Competitive Landscape 2025–2026

Manta is headquartered in Prague, Czech Republic with a North American presence, and has built a customer base among large enterprises in financial services, telecommunications, and retail that operate complex, heterogeneous data environments spanning decades of legacy systems alongside modern cloud infrastructure. The platform targets data governance, data engineering, and compliance teams at organizations where manual lineage documentation is not feasible given the scale of the data environment. Manta competes with Collibra's lineage capabilities, Informatica, and Octopai in the enterprise data lineage market, differentiating through its deep code-parsing approach and its broad technology stack coverage.

Headquarters
Prague, Czech Republic
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