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      • CHAR2HEXINT_UDF
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      • TD_WEEK_OF_YEAR_UDF
      • TD_DAY_OF_WEEK_COMPATIBLE_UDF
      • FIRST_DAY_JANUARY_OF_ISO_UDF
      • YEAR_BEGIN_ISO_UDF
      • TD_YEAR_BEGIN_UDF
      • LAST_DAY_DECEMBER_OF_ISO_UDF
      • YEAR_END_ISO_UDF
      • TD_YEAR_END_UDF
      • TIMESTAMP_ADD_UDF
      • DAY_OF_WEEK_LONG_UDF
      • MONTH_NAME_LONG_UDF
      • TO_BYTES_HEX_UDF
      • CENTURY_UDF
      • DAYNAME_LONG_UDF
      • DAYNAME_LONG_UDF
      • DATE_LONG_UDF
      • FULL_MONTH_NAME_UDF
      • ISO_YEAR_PART_UDF
      • JULIAN_DAY_UDF
      • MONTH_SHORT_UDF
      • ROMAN_NUMERALS_MONTH_UDF
      • SECONDS_PAST_MIDNIGHT_UDF
      • WEEK_OF_MONTH_UDF
      • YEAR_PART_UDF
      • YEAR_WITH_COMMA_UDF
      • INSERT_CURRENCY_UDF
      • WRAP_NEGATIVE_WITH_ANGLE_BRACKETS_UDF
      • TRANSLATE_CHK_UDF
      • WEEK_NUMBER_OF_QUARTER_COMPATIBLE_UDF
      • WEEK_NUMBER_OF_QUARTER_ISO_UDF
      • WEEK_NUMBER_OF_QUARTER_COMPATIBLE_UDF
      • WEEKNUMBER_OF_MONTH_UDF
  • For Teradata
    • Introduction
    • Getting Started (LEGACY)
      • Training and Support
      • Code Extraction
      • Using SnowConvert
      • Review Results
        • Assessment.csv Report
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  • For Oracle
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    • Release Notes
      • 2023
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  • For IBM DB2
    • Introduction
    • Getting Started (LEGACY)
      • Using SnowConvert
      • Review Results
        • Output
        • Reports
    • Command Line Interface
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      • MSCEWI5001
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      • MSCEWI5022
    • Release Notes
      • 2022
  • For PostgreSQL
    • Introduction
    • Getting Started (LEGACY)
      • Using SnowConvert
      • Review Results
        • Output
        • Reports
    • Command Line Interface
    • Translation Reference
    • Issues and Troubleshooting
      • MSC-PG0000
      • MSC-PG0001
      • MSC-PG0002
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      • MSC-PG0008
      • MSC-PG0009
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      • MSC-PG0012
      • MSC-PG0013
      • MSC-PG0014
      • MSC-PG0015
      • MSC-PG0016
      • MSC-PG0017
      • MSC-PG0018
      • MSC-PG0019
      • MSC-PG0020
      • MSC-PG0021
      • MSC-PG0022
      • MSC-PG0023
      • MSC-PG0024
      • MSC-PG0025
      • MSC-PG0026
      • MSC-PG0027
      • MSC-PG0028
    • Release Notes
      • 2022
  • For Greenplum
    • Introduction
    • Getting Started (LEGACY)
      • Using SnowConvert
      • Review Results
        • Output
        • Reports
    • Command Line Interface
    • Translation Reference
    • Issues and Troubleshooting
      • MSC-GP0000
      • MSC-GP0001
      • MSC-GP0002
      • MSC-GP0003
    • Release Notes
      • 2022
  • For Amazon RedShift
    • Introduction
    • Getting Started (LEGACY)
      • Using SnowConvert
      • Review Results
        • Output
        • Reports
    • Command Line Interface
    • Translation Reference
    • Issues and Troubleshooting
      • MSC-RS0004
      • MSC-RS0005
      • MSC-RS0011
      • MSC-RS0012
      • MSC-RS0013
      • MSC-RS0014
    • Release Notes
      • 2022
  • For Google BigQuery
    • Introduction
    • Getting Started (LEGACY)
      • Using SnowConvert
      • Review Results
        • Output
        • Reports
    • Command Line Interface
    • Translation Reference
    • Issues and Troubleshooting
      • General Issues
      • MSC-BQ0001
      • MSC-BQ0002
      • MSC-BQ0003
      • MSC-BQ0004
      • MSC-BQ0005
      • MSC-BQ0006
      • MSC-BQ0007
      • MSC-BQ0008
      • MSC-BQ0009
      • MSC-BQ0010
      • MSC-BQ0011
      • MSC-BQ0012
      • MSC-BQ0013
      • MSC-BQ0014
      • MSC-BQ0015
      • MSC-BQ0016
    • Release Notes
      • 2022
  • For Apache Hive
    • Introduction
    • Getting Started (LEGACY)
      • Using SnowConvert
      • Review Results
        • Output
        • Reports
    • Command Line Interface
    • Translation Reference
    • Issues and Troubleshooting
    • Release Notes
      • 2022
  • For Vertica
    • Introduction
    • Getting Started (LEGACY)
      • Using SnowConvert
      • Review Results
        • Output
        • Reports
    • Command Line Interface
    • Translation Reference
    • Issues and Troubleshooting
    • Release Notes
      • 2022
  • for Spark (Scala)
    • Snowpark Migration Accelerator for Spark Scala
  • FOR SPARK (PYTHON)
    • Snowpark Migration Accelerator for PySpark
  • Databricks workloads
    • Getting started
      • DBC files explode
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Snowflake SnowConvert Documentation

Everything you need to know about the premier code conversion tool to move legacy code to Snowflake.

NextGetting Started

Last updated 1 year ago

This is a deprecated version of the SnowConvert documentation, please visit the official site .

SnowConvert is not an official product of Snowflake Inc. and is not part of the Snowflake Service. SnowConvert is provided under its own terms and is “AS IS”. Snowflake’s support team does not provide support and is excluded from the support and service level obligations otherwise applicable to the Snowflake Service. To learn more, reach out to .

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance, or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with the reinvented data warehousing that Snowflake can provide. Included in the many benefits of transitioning to the world's leading cloud-based data platform are:

  • Multi-cluster and shared data: allows you to process enormous quantities of data with maximum speed and efficiency.

  • Micro-Partitioning: allows you to securely and efficiently store customer data.

  • Delivered as a service: allows you to eliminate the administration and management demands of traditional data platforms.

  • Data Platform built for any cloud: the separation of services from storage and compute allows multiple, compute clusters to simultaneously operate on the same data

  • Better Performance and throughput: outperforms traditional methods for executing data workloads.

  • Support for all data: allows you to query both structured and machine-generated, semi-structured data (i.e., JSON, Avro, XML, Parquet).

Snowflake SnowConvert is an easy-to-use software that lets you jump-start the modernization of your conventional data platform to the reinvented Snowflake Data Warehousing Architecture. To achieve this modernization, SnowConvert understands your source SQL (such as Oracle, SQL Server, and Teradata SQL) and translates SQL to . Once your original code is converted, you'll be able to start enjoying all the benefits of Snowflake.

Currently, SnowConvert is available for the following source platforms:

Looking for a new platform? and let us know.

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