Convert SQL Anywhere to Vertica

Full Convert is designed for ease of use and reliability. Get the migration done quickly and simply, without surprises.

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Making migration easy for you

Full Convert is a fully self-tuning software. Your migration will work as expected without you needing to adjust anything.

Data types are different in Vertica compared to SQL Anywhere . We automatically adjust them as we copy the tables so you don't have to worry about it. You can adjust the mapping rules if you wish to change the following defaults:

bit
boolean
char
long varchar (if precision > 65000)
datetime
timestamp
double
double precision
integer
bigint
long binary
long varbinary
long nvarchar
long varchar
nchar
char (if precision <= 65000)
nchar
long varchar (if precision > 65000)
nvarchar
varchar (if precision <= 65000)
nvarchar
long varchar (if precision > 65000)
smallint
bigint
tinyint
bigint
uniqueidentifier
binary(16)
unsigned bigint
bigint
unsigned int
bigint
unsigned smallint
bigint
unsigned tinyint
bigint
varbinary
long varbinary (if precision > 65000)
varchar
long varchar (if precision > 65000)
xml
long varchar

Full Convert migration in 4 easy steps

Step 1

SQL Anywhere

We will select SQL Anywhere from the drop down and fill out the connection parameters.

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Vertica-illustration
Step 2

Vertica

We will select Vertica from the drop down and fill out the connection parameters.

Step 3

Start the conversion

All source tables are selected for conversion by default. In case you only need some tables, simply deselect the ones you don't need - or deselect all, then select just the tables you do need. Click the Copy your database button to get started.

Click the Copy your database button to get started.

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Step 4

Conversion

Conversion is highly-optimized to run as fast as possible, yet provides top-notch reliability. Huge tables are converted in small chunks at a time, preserving memory and ensuring that your computer stays fast and responsive.

Data is now in the target database

Use our built-in database browser to examine the copied data.

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Of course, you can also examine the conversion in detail and see in-depth information for each table.