CsvPath Framework
  • CsvPath
  • DATA PREBOARDING
  • Getting Started
    • Quickstart
    • Organizing Inbound Data
      • Dataflow Diagram
      • The Three Data Spaces
        • Source Staging
        • Validation Assets
        • Trusted Publishing
      • How Data Progresses Through CsvPath Framework
        • Staging
          • Data Identity
          • Handling Variability
            • Templates
            • Named-file Reference Queries
          • Registration API and CLI
            • Loading
            • Going CLI-only
        • Validation and Upgrading
          • Templates
          • Run Using the API
          • Running In the CLI
          • Named-paths Reference Queries
        • Publishing
          • Inspect Run Results
            • Result API
            • More Templates and References
          • Export Data and Metadata
    • Csv and Excel Validation
      • Your First Validation, The Lazy Way
      • Your First Validation, The Easy Way
      • Your First Validation, The Hard Way
    • DataOps Integrations
      • Getting Started with CsvPath + OpenTelemetry
      • Getting Started With CsvPath + OpenLineage
      • Getting Started with CsvPath + SFTPPlus
        • SFTPPlus Implementation Checklist
      • Getting Started with CsvPath + CKAN
    • How-tos
      • How-to videos
      • Storage backend how-tos
        • Store source data and/or named-paths and/or the archive in AWS S3
        • Loading files from S3, SFTP, or Azure
        • Add a file by https
        • Store source data and/or named-paths and/or the archive in Azure
        • Store source data and/or named-paths and/or the archive in Google Cloud Storage
      • CsvPath in AWS Lambda
      • Call a webhook at the end of a run
      • Setup notifications to Slack
      • Send run events to Sqlite
      • Execute a script at the end of a run
      • Send events to MySQL or Postgres
      • Sending results by SFTP
      • Another (longer) Example
        • Another Example, Part 1
        • Another Example, Part 2
      • Working with error messages
      • Sending results to CKAN
      • Transfer a file out of CsvPath
      • File references and rewind/replay how-tos
        • Replay Using References
        • Doing rewind / replay, part 1
        • Doing rewind / replay, part 2
        • Referring to named-file versions
      • Config Setup
      • Debugging Your CsvPaths
      • Creating a derived file
      • Run CsvPath on Jenkins
    • A Helping Hand
  • Topics
    • The CLI
    • High-level Topics
      • Why CsvPath?
      • CsvPath Use Cases
      • Paths To Production
      • Solution Storming
    • Validation
      • Schemas Or Rules?
      • Well-formed, Valid, Canonical, and Correct
      • Validation Strategies
    • Python
      • Python vs. CsvPath
      • Python Starters
    • Product Comparisons
      • The Data Preboarding Comparison Worksheet
    • Data, Validation Files, and Storage
      • Named Files and Paths
      • Where Do I Find Results?
      • Storage Backends
      • File Management
    • Language Basics
    • A CsvPath Cheatsheet
    • The Collect, Store, Validate Pattern
    • The Modes
    • The Reference Data Types
    • Manifests and Metadata
    • Serial Or Breadth-first Runs?
    • Namespacing With the Archive
    • Glossary
  • Privacy Policy
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  1. Topics
  2. Product Comparisons

The Data Preboarding Comparison Worksheet

This is just 15 tools out of hundreds. But it will give you an idea of the lay of the land.

PreviousProduct ComparisonsNextData, Validation Files, and Storage

Last updated 3 months ago

has a few of the common CsvPath Framework product comparisons.

Why are there not more Data Preboarding category tools? Well, there just aren't that many. At least according to us. Though, there are definitely lots of tools you could build a robust preboarding framework on top of, with some effort.

For example, Python — you could simply roll you own. We think that would not be a good use of time, since you can grab CsvPath Framework and be up and running in minutes.

Remember that a real Data Preboarding solution is hard. The best indicator of that is that a majority of companies could use a good preboarding tool. Some would substantially reduce expensive manual processing and expensive errors. And some errors in preboarding could be said to be existential. These companies would happily pay for the lower overhead and peace of mind. And yet there are so few data preboarding options. Hard things are hard!

This google sheet