Spectral Core Full Convert Enterprise v19.10.1564

Spectral Core Full Convert Enterprise v19.10.1564

Spectral Core Full Convert Enterprise v19.10.1564
Spectral Core Full Convert Enterprise v19.10.1564


Full Convert is the easiest way to convert your database. Whether you need to simply copy your data over or have sophisticated customization needs, you have come to the right place. All popular databases are supported. A high-speed database converter carefully engineered to efficiently handle even the largest databases.

Source databases
Access
Amazon RDS
CSV
IBM DB2
dBase
Apache Derby
Excel
Filemaker
Firebird
Greenplum
Gupta SQLBase
H2
HSQLDB
Ingres
Interbase
MariaDB
MySQL
NexusDB
Oracle
Paradox
Pervasive
PostgreSQL
Progress OpenEdge
QuickBooks
SQL Script (*.sql file)
SQL Azure
SQL Server
SQL CE
SQL Express LocalDB
SQLite
Sybase ASA
Sybase ASE
Sybase Advantage
Vertica
VistaDB
Visual FoxPro
...and many more via ODBC

Target databases
Access
Amazon RDS
CSV
IBM DB2
dBase
Apache Derby
Excel
Firebird
Gupta SQLBase
Greenplum
H2
HSQLDB
Ingres
Interbase
MySQL
NexusDB
Oracle
Pervasive
PostgreSQL
Progress OpenEdge
SQL Azure
SQL Server
SQL CE
SQL Express LocalDB
SQLite
Sybase ASA
Sybase ASE
Vertica
VistaDB
Visual FoxPro
...and many more via ODBC

Full Convert will quickly and easily copy your data from source to the target database. It will create all the tables, copy all of your data, then create indexes and foreign keys.

Our software is designed to shield you from complexity of underlying databases. While you have powerful mapping and customization features at your disposal, your data will be migrated out of the box with no customization needed.

Full Convert automatically adjusts to your databases and uses optimal copying mode for each table separately to achieve the best possible throughput.

Note: Full Convert is not designed to migrate views, stored procedures, functions and triggers. Use our SQLTran for that.

Migrating from your old database? We got you covered.

We support modern relational databases. We support ancient file databases. For over 30 of most popular you need absolutely no drivers - just select your database and you are good to go.

Even if you use a mainframe database, we support standard (if slow) ODBC standard, so our software will be able to work with your database server.

Here is an example of converting a 3 billion record SQL Server table to PostgreSQL.

With a fast target database such as Postgres, we achieve a million records per second throughput! Full Convert was using just 68MB of memory, as it streams data very efficiently from source to target.

Speed of your conversion will vary depending on databases you use, network lag, table structure and other factors.

Having many thousands of tables in source and needing to convert just a few? No problem, as you can use our instant filtering to quicky display only certain tables.

You can even toggle selection on just tables selecting your filter.

Database errors can be very cryptic and it's often hard, even for seasoned database professionals, to know what is going on - not to mention someone who is not an expert and just wants to move to another database.

Our software consults our online error database when you have trouble connecting to database. We created helpful hints for stuff you may encounter.

Full Convert is written in philosophy of making everything easy for the user. For example, you don't have to manually create target database in your database manager prior to conversion.

If you don't have your target database created, Full Convert will ask you if you'd like it to create it for you. It will then proceed to copy all of your source database data into it right away.

Inspect logs later and examine exactly what happened during conversion in detail.

Summary log - overview of conversion
Error log - list of errors encountered (if any)
SQL log - all SQL statements executed on target database during conversion
SQL Error log - only the SQL statements resulting in error when executed on target

When you need recurring conversion (typically, people run them overnight), use our built-in scheduler to easily set up conversions to run unattended. Our scheduler can trigger your conversions to run:

Every N minutes
Every day at exact time
On certain days in week
On a specific day of the month
Once at a specific date and time

When you want to tweak conversion details for specific table, use table mapping screen and change everything!

Rename the table, rename its columns, deselect some columns...
Change datatypes and their precisin, edit default values...
Convert only a subset of records using custom WHERE clause
Tell for specific tables that you don't want them created and expect target to exist
Map source table to another table in target database

Set up schema mapping, datatype mapping and default value mapping at once for all tables.

This allows you to create custom rules for everything and tweak only specifics in table mapping screens.

Set up rules for schema handling (i.e. map JOHN in source to JILL in target, everything else to PUBLIC)
Change precision of certain data types, change other types completely
Using complex functions in source database that have no equivalent in target? Specify exactly what to do.

v19.10.1564 October 22, 2019 at 13:56:22

v19.10.1563 October 22, 2019 at 10:35:54

- Added support for MySQL comments

v19.10.1562 October 18, 2019 at 06:23:51

- Worked around Gupta SQLBase driver cursor limit bug

v19.10.1561 October 16, 2019 at 13:04:33

- Fixed Firebird BIGINT datatype detection

v19.10.1560 October 16, 2019 at 09:14:18

- Implemented automated detection of newly added columns for manually mapped tables
- Supported Sybase Advantage NVARCHAR columns in direct mode

v19.10.1559 October 15, 2019 at 12:18:02

- Updated PostgreSQL metadata reading for version 12.0 system view changes
- Updated Gupta SQLBase connection to properly handle both local and remote connections

v19.10.1558 October 14, 2019 at 10:33:30

- Fixed Sybase SQL Anywhere identity column handling

v19.10.1557 October 14, 2019 at 09:59:01

- Removed rounding of the total records processed value in the logs


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