Anaplan vs Power Query
Side-by-side comparison to help you choose.
| Feature | Anaplan | Power Query |
|---|---|---|
| Type | Product | Product |
| UnfragileRank | 31/100 | 32/100 |
| Adoption | 0 | 0 |
| Quality | 1 | 1 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Paid | Paid |
| Capabilities | 14 decomposed | 18 decomposed |
| Times Matched | 0 | 0 |
Enables creation and calculation of complex financial models with interconnected variables, circular references, and multi-dimensional hierarchies that traditional spreadsheets cannot handle. Uses a hypergraph calculation engine to resolve complex dependency chains in real-time.
Enables simultaneous, live collaboration across finance, sales, HR, and other departments on a single unified data model with instant synchronization. Eliminates spreadsheet version control issues and ensures all teams work from the same source of truth.
Integrates data from external systems including ERP, CRM, HRIS, and data warehouses through automated ETL processes, keeping planning models current with operational data.
Provides a powerful formula and calculation engine that allows creation of custom business logic and calculations without coding, supporting complex mathematical operations and business rules.
Creates automated performance reports and KPI dashboards that track key business metrics across finance, sales, and HR with drill-down capabilities and trend analysis.
Implements configurable approval workflows and governance rules that control who can make changes to plans, ensuring proper authorization and maintaining planning integrity.
Allows users to create and compare multiple planning scenarios with different assumptions, instantly recalculating all dependent models to show impact across the organization. Enables rapid exploration of alternative business outcomes.
Provides mobile-optimized, interactive dashboards that allow non-technical business users to view, explore, and interact with planning models and forecasts on any device. Enables scenario planning and decision-making without requiring desktop access.
+6 more capabilities
Construct data transformations through a visual, step-by-step interface without writing code. Users click through operations like filtering, sorting, and reshaping data, with each step automatically generating M language code in the background.
Automatically detect and assign appropriate data types (text, number, date, boolean) to columns based on content analysis. Reduces manual type-setting and catches data quality issues early.
Stack multiple datasets vertically to combine rows from different sources. Automatically aligns columns by name and handles mismatched schemas.
Split a single column into multiple columns based on delimiters, fixed widths, or patterns. Extracts structured data from unstructured text fields.
Convert data between wide and long formats. Pivot transforms rows into columns (aggregating values), while unpivot transforms columns into rows.
Identify and remove duplicate rows based on all columns or specific key columns. Keeps first or last occurrence based on user preference.
Detect, replace, and manage null or missing values in datasets. Options include removing rows, filling with defaults, or using formulas to impute values.
Power Query scores higher at 32/100 vs Anaplan at 31/100.
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Apply text operations like case conversion (upper, lower, proper), trimming whitespace, and text replacement. Standardizes text data for consistent analysis.
+10 more capabilities