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AzureDataStudio
AzureDataStudio

19
16
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0
Dynobase
Dynobase

1
4
+ 1
0
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AzureDataStudio vs Dynobase: What are the differences?

Developers describe AzureDataStudio as "A cross-platform database tool for data professionals *". It is a cross-platform database tool for data professionals using the Microsoft family of on-premises and cloud data platforms on Windows, MacOS, and Linux. On the other hand, *Dynobase** is detailed as "Professional GUI Client for DynamoDB". Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.

AzureDataStudio and Dynobase belong to "Database Tools" category of the tech stack.

Some of the features offered by AzureDataStudio are:

  • Cross-Platform DB management for Windows, macOS and Linux with simple XCopy deployment
  • SQL Server Connection Management with Connection Dialog, Server Groups, Azure Integration and Registered Servers
  • Object Explorer supporting schema browsing and contextual command execution

On the other hand, Dynobase provides the following key features:

  • Faster querying and scanning
  • Multiple tables support
  • Multiple tabs support

AzureDataStudio is an open source tool with 5.57K GitHub stars and 484 GitHub forks. Here's a link to AzureDataStudio's open source repository on GitHub.

- No public GitHub repository available -

What is AzureDataStudio?

It is a cross-platform database tool for data professionals using the Microsoft family of on-premises and cloud data platforms on Windows, MacOS, and Linux.

What is Dynobase?

Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.
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            What are some alternatives to AzureDataStudio and Dynobase?
            Slick
            It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
            Sequel Pro
            Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
            PostGIS
            PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
            Spring Data
            It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
            Microsoft SQL Server Management Studio
            It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
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