Related Products
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About
SQL Server Data Tools (SSDT) transforms database development by introducing a ubiquitous, declarative model that spans all the phases of database development inside Visual Studio. You can use SSDT Transact-SQL design capabilities to build, debug, maintain, and refactor databases. You can work with a database project, or directly with a connected database instance on or off-premise. Developers can use familiar Visual Studio tools for database development. Tools such as: code navigation, IntelliSense, language support that parallels what is available for C# and Visual Basic, platform-specific validation, debugging, and declarative editing in the Transact-SQL editor. SSDT also provides a visual Table Designer for creating and editing tables in either database projects or connected database instances. While you are working on your database projects in a team-based environment, you can use version control for all the files.
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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
Vyper is a contract-oriented, pythonic programming language that targets the Ethereum Virtual Machine (EVM).
Security: It should be possible and natural to build secure smart-contracts in Vyper.
Language and compiler simplicity: The language and the compiler implementation should strive to be simple.
Auditability: Vyper code should be maximally human-readable. Furthermore, it should be maximally difficult to write misleading code. Simplicity for the reader is more important than simplicity for the writer, and simplicity for readers with low prior experience with Vyper (and low prior experience with programming in general) is particularly important.
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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
Developers requiring a database management and development solution to build, debug, maintain, and refactor databases
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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
Smart contract developers
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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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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
Free
Free Version
Free Trial
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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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Company InformationMicrosoft
Founded: 1975
United States
docs.microsoft.com/en-us/sql/ssdt/sql-server-data-tools
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Company InformationWebyog
United States
webyog.com/product/sqlyog/
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Company InformationVyper
Founded: 2017
docs.vyperlang.org/en/stable/
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Categories |
Categories |
Categories |
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Integrations
Amazon RDS
Amazon Web Services (AWS)
Collate
Ethereum
Google Cloud BigQuery
Google Cloud SQL
Greenplum
IBM Db2
IBM Informix
MariaDB
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Integrations
Amazon RDS
Amazon Web Services (AWS)
Collate
Ethereum
Google Cloud BigQuery
Google Cloud SQL
Greenplum
IBM Db2
IBM Informix
MariaDB
|
Integrations
Amazon RDS
Amazon Web Services (AWS)
Collate
Ethereum
Google Cloud BigQuery
Google Cloud SQL
Greenplum
IBM Db2
IBM Informix
MariaDB
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