Convert HiperSix To Redshift

Want to convert data from HiperSix to Redshift?

Try Withdata DBCopier, a HiperSix to Redshift converter for Windows, Mac, and Linux, Convert HiperSix to Redshift, Easy and Fast.

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Convert data from HiperSix to Redshift

Login to HiperSix and Redshift -> Select source HiperSix tables -> Set target Redshift tables -> Convert HiperSix to Redshift

Choose source HiperSix database and logon.

Convert data from HiperSix to Redshift - Choose HiperSix and logon

Choose target Redshift database and logon.

Convert data from HiperSix to Redshift - Choose Redshift and logon

Click “Wizard – Import All Tables” at task dialog.

Convert data from HiperSix to Redshift - Task Window

then show the wizard.

1. Open source HiperSix.

Convert data from HiperSix to Redshift - Open source database

2. List target Redshift tables.

Convert data from HiperSix to Redshift - list target tables

3. Select Redshift tables to import.

Convert data from HiperSix to Redshift - select tables

4. Convert data from HiperSix to Redshift.

Convert data from HiperSix to Redshift - import


More about HiperSix to Redshift converter

See also:

HiperSix → Redshift reference

Type mapping

Value kindin HiperSixin Redshift
IntNumeric(10,0)integer
BigintNumeric(19,0)bigint
DecimalNumeric(p,s)numeric(p,s)
FloatFloatdouble precision
TextCharacter(n)varchar(n)
Long textMemovarchar(max)
DateDatedate
Datetime(none)timestamp
BooleanLogicalboolean
JSON(none)super

Dialect differences

Both HiperSix and Redshift are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.

Propertyin HiperSixin Redshift
port(file-based)5439
identifiers—"double quotes"
row limit(driver dependent)LIMIT n
datesDate (D)timestamp, date
long textMemo (M)VARCHAR(MAX)

Command line

SideCommand
RedshiftUNLOAD to S3
Redshift (load)COPY from S3

No counterpart

  • Redshift has no equivalent for Date and time – it has to be flattened or dropped.
  • Redshift has no equivalent for JSON – it has to be flattened or dropped.

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