About
Oracle SQL Developer Data Modeler is a free graphical tool that enhances productivity and simplifies data modeling tasks. Using Oracle SQL Developer Data Modeler users can create, browse and edit, logical, relational, physical, multi-dimensional, and data type models. The Data Modeler provides forward and reverse engineering capabilities and supports collaborative development through integrated source code control. The Data Modeler can be used in both traditional and in Cloud environments. Oracle SQL Developer Data Modeler is one of the database tools in the Oracle Database Tools group. It is an independent, standalone product with a full spectrum of data and database modeling tools and utilities. There is a general FAQ and other supporting collateral on the Data Modeler home page. This document is to provide some guidance to the pricing-related questions arising in the community.
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About
A Powerful MySQL Development and Administration Solution. SQLyog Ultimate enables database developers, administrators, and architects to visually compare, optimize, and document schemas. SQLyog Ultimate includes a power tool to automate and schedule the synchronization of data between two MySQL hosts. Create the job definition file using the interactive wizard. The tool does not require any installation on the MySQL hosts. You can use any host to run the tool. SQLyog Ultimate includes a power tool to interactively synchronize data. Run the tool in attended mode to compare data from source and target before taking action. Using the intuitive display, compare data on source and target for every row to decide whether it should be synchronized in which direction. SQLyog Ultimate includes a power tool to interactively compare and synchronize schema. View the differences between tables, indexes, columns, and routines of two databases.
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About
Installed as an on-premises server instance, SQL Server Analysis Services supports tabular models at all compatibility levels (depending on version), multidimensional models, data mining, and Power Pivot for SharePoint. A typical implementation workflow includes installing a SQL Server Analysis Services instance, creating a tabular or multidimensional data model, deploying the model as a database to a server instance, processing the database to load it with data, and then assigning permissions to allow data access. When ready to go, the data model can be accessed by any client application supporting Analysis Services as a data source. Models are populated with data from external data systems, usually data warehouses hosted on a SQL Server or Oracle relational database engine (Tabular models support additional data source types).
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About
Visualize database structures and better understand existing databases and relationships. Create high-quality logical and physical data models. Reverse engineer existing database structures to view them in a diagram. Generate detailed HTML, RTF or PDF reports. Create quality database structures or make changes to existing models automatically, and provide documentation on multiple platforms. Build complex logical and physical entity-relationship models, and easily reverse and forward engineer databases. Connect multiple databases natively and simultaneously, including Oracle, SAP, MySQL, SQL Server, PostgreSQL, DB2, Ingres, and Microsoft Access. Synchronize models with existing databases using Change Script Generations and Update Model features. Easily convert data structures from one database platform to another to support business migration initiatives. Easily generate detailed hyperlinked reports on existing database structures in multiple formats like HTML and PDF.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprises requiring a free graphical tool to enhance productivity and simplify data modeling tasks
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Audience
Database developers, administrators, and architects who want a database management solution to visually compare, optimize, and document schemas and data
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Audience
Analytical data engine for companies wanting help with decision support and business analytics
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Audience
Enterprises, professionals, developers and users searching for a multi-platform database modeling solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/in/database/technologies/appdev/datamodeler.html
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Company InformationWebyog
United States
webyog.com/product/sqlyog/
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Company InformationMicrosoft
Founded: 1975
United States
docs.microsoft.com/en-us/analysis-services/ssas-overview
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Company InformationQuest
Founded: 1987
United States
www.toadworld.com/products/toad-data-modeler
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Integrations
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
C++Builder
Google Cloud BigQuery
Google Cloud Platform
Greenplum
IBM Informix
Microsoft Power BI
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Integrations
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
C++Builder
Google Cloud BigQuery
Google Cloud Platform
Greenplum
IBM Informix
Microsoft Power BI
|
Integrations
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
C++Builder
Google Cloud BigQuery
Google Cloud Platform
Greenplum
IBM Informix
Microsoft Power BI
|
Integrations
Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Cassandra
C++Builder
Google Cloud BigQuery
Google Cloud Platform
Greenplum
IBM Informix
Microsoft Power BI
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