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  1. Stackups
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  5. Microsoft SQL Server Management Studio vs Spring Data

Microsoft SQL Server Management Studio vs Spring Data

OverviewDecisionsComparisonAlternatives

Overview

Microsoft SQL Server Management Studio
Microsoft SQL Server Management Studio
Stacks503
Followers445
Votes0
Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84

Microsoft SQL Server Management Studio vs Spring Data: What are the differences?

<Microsoft SQL Server Management Studio vs. Spring Data>

1. **User Interface**: Microsoft SQL Server Management Studio provides a graphical user interface for database management tasks, making it easily accessible for those who prefer visual tools. On the other hand, Spring Data primarily focuses on providing a programming model and tool support for Java developers, with less emphasis on a graphical user interface.
2. **Query Language**: A key difference between the two is the query language used. Microsoft SQL Server Management Studio mainly uses Transact-SQL (T-SQL) for querying databases, while Spring Data offers a more abstracted approach by supporting the use of various query methods and annotations within Java code.
3. **Integration**: Microsoft SQL Server Management Studio is tightly integrated with Microsoft SQL Server databases, providing seamless connectivity and management features specific to SQL Server. In contrast, Spring Data is a part of the larger Spring Framework ecosystem, which offers more flexibility for integrating with various databases beyond just SQL Server.
4. **Development Environment**: SQL Server Management Studio is primarily used for database administration tasks such as creating, modifying, and managing database objects and settings. Spring Data, however, is focused on streamlining data access tasks within Java applications by providing object-relational mapping (ORM) support and other data access functions.
5. **Vendor Lock-in**: Using Microsoft SQL Server Management Studio ties the user to the SQL Server ecosystem, potentially limiting the ability to easily switch to another database system. Spring Data, being a part of the Spring Framework, promotes database agnosticism and allows for easier migration between different database technologies.
6. **Community Support**: Microsoft SQL Server Management Studio benefits from a large community of users and resources provided by Microsoft. Spring Data, being an open-source project, has a strong community backing within the Java development community, offering extensive documentation, forums, and support resources.

In Summary, Microsoft SQL Server Management Studio and Spring Data differ in their user interface, query language, integration, development environment focus, vendor lock-in implications, and community support.

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Advice on Microsoft SQL Server Management Studio, Spring Data

Aashwiin
Aashwiin

Feb 6, 2020

Needs advice

I am looking to build an azure database that connects to my power bi application. Initially, I attempted to create an Azure SQL database, then realized I needed to have SQL Server Management Service in order to manage and connect between Azure SQL <=> Power BI, but since I am on a Mac, I had to use the complex installation as a workaround.

If MySQL Workbench can solve this (as the product is available on Mac), I am more than happy to proceed with this approach if it can achieve the same goal of connecting an azure database with my Power BI application

What I am trying to achieve is fairly simple: have an online cloud database that connects to my Power BI application

I am open to any other solutions as well

Thank you

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Detailed Comparison

Microsoft SQL Server Management Studio
Microsoft SQL Server Management Studio
Spring Data
Spring Data

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.

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.

Integrated environment for managing any SQL infrastructure; Configure, monitor, and administer instances of SQL Server and databases; Deploy, monitor, and upgrade the data-tier components used by your applications, and build queries and scripts
Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Statistics
GitHub Stars
-
GitHub Stars
95
GitHub Forks
-
GitHub Forks
84
Stacks
503
Stacks
883
Followers
445
Followers
408
Votes
0
Votes
0
Integrations
Microsoft SQL Server
Microsoft SQL Server
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB

What are some alternatives to Microsoft SQL Server Management Studio, Spring Data?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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