Compare PlaidCloud vs. SAP PaPM

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 provides 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.
PaPM is an SAP product for profitability and performance management. PaPM was initially developed for the financial services industry and built to run natively on SAP’s HANA in-memory platform. HANA provides PaPM with the ability to quickly process big data volumes and perform intensive allocation and calculation rules. PaPM is a mix of application development and data integration tools.
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
  • Intercompany Transfer Pricing Template
    Intercompany Transfer Pricing Template
  • Intercompany Invoicing Template
    Intercompany Invoicing Template
  • Email Notifications
    Email Notifications
  • Microsoft Teams Notifications
    Microsoft Teams Notifications
  • Slack Notifications
    Slack Notifications
  • Interact Via Available API
    Interact Via Available API
  • Connect From Jupyter Notebooks
    Connect From Jupyter Notebooks
  • Native Multidimensional Support
    Native Multidimensional Support
  • Point-And-Click Assignments
    Point-And-Click Assignments
  • Operate On Datasets With Python
    Operate On Datasets With Python
  • Operate On Datasets With SQL
    Operate On Datasets With SQL
  • Excel Integration
    Excel Integration
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
  • Intercompany Transfer Pricing Template
    Optional
  • Intercompany Invoicing Template
    Optional
  • Email Notifications
  • Microsoft Teams Notifications
  • Slack Notifications
  • Interact Via Available API
  • Connect From Jupyter Notebooks
  • Native Multidimensional Support
  • Point-And-Click Assignments
  • Operate On Datasets With Python
  • Operate On Datasets With SQL
  • Excel Integration
MyABCM
  • FEATURES

    SAP PaPM

  • Data From Any Source
  • Built-In Data Quality Steps
  • Automated Data Workflows
  • Fully SaaS-based
    Optional
  • Read & Write To All Modern Databases
  • Choice of Cloud Storage Providers
  • Intercompany Transfer Pricing Template
  • Intercompany Invoicing Template
  • Email Notifications
  • Microsoft Teams Notifications
  • Slack Notifications
  • Interact Via Available API
  • Connect From Jupyter Notebooks
  • Native Multidimensional Support
  • Point-And-Click Assignments
  • Operate On Datasets With Python
  • Operate On Datasets With SQL
  • Excel Integration