Atlas-DB vs Microsoft SQL Server Management Studio

Overview

Atlas-DB

Stacks6

Followers77

Votes0

GitHub Stars3.5K

Forks324

Microsoft SQL Server Management Studio

Stacks505

Followers445

Votes0

Atlas-DB vs Microsoft SQL Server Management Studio: What are the differences?

Introduction

In the realm of database management systems, Atlas-DB and Microsoft SQL Server Management Studio (SSMS) are two popular choices. While they both serve the purpose of storing and managing data, there are key differences that set them apart in terms of functionality and performance.

Database Type: Atlas-DB is a cloud-native, distributed database that is designed for scalability and reliability in modern cloud environments. On the other hand, Microsoft SQL Server Management Studio is a desktop application used to interact with Microsoft SQL Server databases.
Hosted Solution: Atlas-DB is a fully managed service provided by MongoDB Atlas, offering automated backups, monitoring, and upgrades, while Microsoft SQL Server Management Studio requires users to have their own infrastructure to host SQL Server databases.
Data Model: Atlas-DB is a NoSQL database that follows a document-oriented data model, allowing for flexible schema design and ease of handling unstructured data. In contrast, Microsoft SQL Server Management Studio is a relational database management system that uses structured query language (SQL) for data representation and manipulation.
Scalability: Atlas-DB is designed for horizontal scalability, enabling it to handle large volumes of data and support high read and write throughput by distributing data across multiple nodes. Microsoft SQL Server Management Studio, on the other hand, may require additional configurations and resources for scaling up as the database grows.
Community Support: Atlas-DB benefits from the active MongoDB community, offering resources, forums, and online documentation for users to troubleshoot issues and seek assistance. In comparison, Microsoft SQL Server Management Studio has a strong user base and extensive Microsoft support for technical queries and updates.
Cost Structure: Atlas-DB's pricing model is based on resource consumption and usage metrics, providing cost-effective solutions for both small-scale startups and enterprise-level organizations. Microsoft SQL Server Management Studio, being a traditional paid software, requires upfront licensing fees and potentially higher costs for maintaining SQL Server databases.

In Summary, Atlas-DB and Microsoft SQL Server Management Studio differ in terms of database type, hosting options, data model, scalability, community support, and cost structures, catering to various business needs and preferences in the field of database management systems.

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Advice on Atlas-DB, Microsoft SQL Server Management Studio

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

Atlas-DB	Microsoft SQL Server Management Studio
Atlas was developed by Netflix to manage dimensional time series data for near real-time operational insight. Atlas features in-memory data storage, allowing it to gather and report very large numbers of metrics, very quickly.	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.
Manages dimensional time series data; In-memory data storage; Captures operational intelligence	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
Statistics
GitHub Stars 3.5K	GitHub Stars -
GitHub Forks 324	GitHub Forks -
Stacks 6	Stacks 505
Followers 77	Followers 445
Votes 0	Votes 0
Integrations
No integrations available	Microsoft SQL Server

What are some alternatives to Atlas-DB, Microsoft SQL Server Management Studio?

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

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

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

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

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

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 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

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.

Related Comparisons

Atlas-DB vs Microsoft SQL Server Management Studio: What are the differences?

Introduction

Database Type: Atlas-DB is a cloud-native, distributed database that is designed for scalability and reliability in modern cloud environments. On the other hand, Microsoft SQL Server Management Studio is a desktop application used to interact with Microsoft SQL Server databases.
Hosted Solution: Atlas-DB is a fully managed service provided by MongoDB Atlas, offering automated backups, monitoring, and upgrades, while Microsoft SQL Server Management Studio requires users to have their own infrastructure to host SQL Server databases.
Data Model: Atlas-DB is a NoSQL database that follows a document-oriented data model, allowing for flexible schema design and ease of handling unstructured data. In contrast, Microsoft SQL Server Management Studio is a relational database management system that uses structured query language (SQL) for data representation and manipulation.
Scalability: Atlas-DB is designed for horizontal scalability, enabling it to handle large volumes of data and support high read and write throughput by distributing data across multiple nodes. Microsoft SQL Server Management Studio, on the other hand, may require additional configurations and resources for scaling up as the database grows.
Community Support: Atlas-DB benefits from the active MongoDB community, offering resources, forums, and online documentation for users to troubleshoot issues and seek assistance. In comparison, Microsoft SQL Server Management Studio has a strong user base and extensive Microsoft support for technical queries and updates.
Cost Structure: Atlas-DB's pricing model is based on resource consumption and usage metrics, providing cost-effective solutions for both small-scale startups and enterprise-level organizations. Microsoft SQL Server Management Studio, being a traditional paid software, requires upfront licensing fees and potentially higher costs for maintaining SQL Server databases.

Atlas-DB vs Microsoft SQL Server Management Studio

Overview

Atlas-DB vs Microsoft SQL Server Management Studio: What are the differences?