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Microsoft SQL VS GeoKettle

Compare Microsoft SQL VS GeoKettle and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Microsoft SQL logo Microsoft SQL

Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

GeoKettle logo GeoKettle

Current version : 2.5 //  Licence :  LGPL Download GeoKettle. Information and documentation on GeoKettle in the Documentation Center. Get support and interact with GeoKettle users in the forum. Rep…
  • Microsoft SQL Landing page
    Landing page //
    2023-01-26
  • GeoKettle Landing page
    Landing page //
    2019-09-29

Microsoft SQL videos

+ Add

3.1 Microsoft SQL Server Review

More videos:

  • Review - What is Microsoft SQL Server?
  • Review - Querying Microsoft SQL Server (T-SQL) | Udemy Instructor, Phillip Burton [bestseller]

GeoKettle videos

No GeoKettle videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Microsoft SQL and GeoKettle)

Microsoft SQL

GeoKettle

Databases
100 100%
Databases
0% 0
Data Integration
85 85%
Data Integration
15% 15
Relational Databases
100 100%
Relational Databases
0% 0
ETL
0 0%
ETL
100% 100

User comments

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What are some alternatives?

When comparing Microsoft SQL and GeoKettle, you can also consider the following products

MySQL - The world's most popular open source database

FME - Convert GIS file to CAD, KML technology and other spatial data conversion from Safe Software.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Hale Studio - hale studio is an easy-to-use but powerful open source spatial ETL and data harmonisation tool. It is primarily used for data migration and harmonisation, as well as to easily create standards-compliant data sets for INSPIRE.

SQLite - SQLite Home Page

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

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