Compare PlaidCloud vs. SAS

PlaidCloud is a low-code, click-to-configure SaaS platform that provides data source integration, an extensive collection of data analysis tools, and easy to share data and analysis pipelines. PlaidCloud is based in the US and offers pre-constructed templates for profitability and cost management, IT chargeback, intercompany invoicing, and goods transfer pricing. PlaidCloud utilizes clustered Google Compute Engine instances and a massively parallel processing data warehouse. In short, PlaidCloud provides a powerful multidimensional solution for analysis, modeling, calculating, and reporting.
SAS Cost and Profitability Management (CPM )is an activity-based cost modeling application. CPM is client-server-based and features unlimited user-defined dimensionality. Recently, CPM has been upgraded to run on the SAS in-memory calculation engine. This in-memory engine enables CPM to quickly process big data volumes and execute intensive allocation and calculation rules. The full SAS software environment must be run in order to use the in-memory engine. SAS Cost and Profitability Management is typically purchased along with SAS ETL and visual reporting products.
FEATURES
  • FEATURES
    FEATURES
  • Data From Any Source
    Data From Any Source
  • Built-In Data Quality Steps
    Built-In Data Quality Steps
  • Automated Data Workflows
    Automated Data Workflows
  • Fully SaaS-based
    Fully SaaS-based
  • Read & Write To All Modern Databases
    Read & Write To All Modern Databases
  • Choice of Cloud Storage Providers
    Choice of Cloud Storage Providers
  • Low-Code Built in Transforms
    Low-Code Built in Transforms
  • Intercompany Transfer Pricing Template
    Intercompany Transfer Pricing Template
  • Intercompany Invoicing Template
    Intercompany Invoicing Template
  • Cost Allocation & Profitably Template
    Cost Allocation & Profitably Template
  • Native Multidimensional Support
    Native Multidimensional Support
  • Point-And-Click Assignments
    Point-And-Click Assignments
  • Operate On Datasets With SQL
    Operate On Datasets With SQL
  • Operate On Datasets With Python
    Operate On Datasets With Python
  • Excel Integration
    Excel Integration
  • Business Intelligence Charting & Dashboard Environment
    Business Intelligence Charting & Dashboard Environment
  • High Performance Data Warehouse
    High Performance Data Warehouse
PlaidCloud
  • FEATURES

    PlaidCloud

  • Data From Any Source
  • Built-In Data Quality Steps
  • Automated Data Workflows
  • Fully SaaS-based
  • Read & Write To All Modern Databases
  • Choice of Cloud Storage Providers
  • Low-Code Built in Transforms
  • Intercompany Transfer Pricing Template
    Optional
  • Intercompany Invoicing Template
    Optional
  • Cost Allocation & Profitably Template
    Optional
  • Native Multidimensional Support
  • Point-And-Click Assignments
  • Operate On Datasets With SQL
  • Operate On Datasets With Python
  • Excel Integration
  • Business Intelligence Charting & Dashboard Environment
  • High Performance Data Warehouse
MyABCM
  • FEATURES

    SAS

  • Data From Any Source
    Optional
  • Built-In Data Quality Steps
    Optional
  • Automated Data Workflows
    Optional
  • Fully SaaS-based
  • Read & Write To All Modern Databases
    Optional
  • Choice of Cloud Storage Providers
  • Low-Code Built in Transforms
  • Intercompany Transfer Pricing Template
  • Intercompany Invoicing Template
  • Cost Allocation & Profitably Template
  • Native Multidimensional Support
  • Point-And-Click Assignments
  • Operate On Datasets With SQL
    Optional
  • Operate On Datasets With Python
    Optional
  • Excel Integration
    Optional
  • Business Intelligence Charting & Dashboard Environment
    Optional
  • High Performance Data Warehouse
    Optional