MongoDB Compass vs Tableau

Overview

Tableau

Stacks1.3K

Followers1.4K

Votes8

MongoDB Compass

Stacks197

Followers384

Votes0

MongoDB Compass vs Tableau: What are the differences?

Key Differences between MongoDB Compass and Tableau

MongoDB Compass and Tableau are both popular tools used for data analysis and visualization, but they have some key differences that set them apart.

Data Storage and Structure: MongoDB Compass is a tool designed specifically for MongoDB databases, which store data in a JSON-like format called BSON. It allows users to easily navigate and query MongoDB databases. On the other hand, Tableau is a general-purpose data visualization tool that can connect to various data sources, including MongoDB, but it can also connect to traditional relational databases like SQL.
Querying and Aggregation: MongoDB Compass provides a visual interface for querying and aggregating data in MongoDB databases. It allows users to write and execute MongoDB-specific queries using a graphical user interface. Tableau, on the other hand, provides a more SQL-like query language called Tableau Calculation Language (TCL) for data manipulation and aggregation.
Data Visualization: Tableau is known for its powerful and flexible data visualization capabilities. It offers a wide range of chart types, interactive dashboards, and advanced visual analytics features. MongoDB Compass, on the other hand, focuses more on data exploration and manipulation rather than advanced visualizations.
Collaboration and Sharing: Tableau offers extensive collaboration and sharing features, allowing users to publish dashboards to the web or Tableau Server for easy sharing and collaboration. It also provides advanced security and permission settings to control access to data and dashboards. MongoDB Compass, on the other hand, is a client-side tool that runs locally on the user's machine, making it more suitable for individual use rather than collaboration.
Performance and Scalability: MongoDB Compass provides a user-friendly interface for performance profiling and optimization of MongoDB queries. It allows users to analyze and identify performance bottlenecks in their queries and provides recommendations for improvement. Tableau, on the other hand, is designed to handle large datasets and can scale to support enterprise-level data analysis and visualization.
Cost and Licensing: MongoDB Compass is free to use for managing and querying MongoDB databases. Tableau, on the other hand, offers both free and paid versions, with the paid versions offering more advanced features and scalability options. Tableau also requires a separate license for connecting to and analyzing certain data sources.

In summary, MongoDB Compass is a specialized tool for managing and querying MongoDB databases, whereas Tableau is a more general-purpose data visualization tool that can connect to various data sources and offers more advanced visualization and collaboration features.

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CLI (Node.js)

Manual

Advice on Tableau, MongoDB Compass

Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k

Comments

Wei

CTO at Flux Work

Jan 8, 2020

Decided

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

230k views230k

Comments

Detailed Comparison

Tableau	MongoDB Compass
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.	Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance.
Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce. Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.; Exceptional analytics demand more than a pretty dashboard. Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries. Make your point with trend analyses, regressions, and correlations for tried and true statistical understanding. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.; Answer the “where” as well as the “why.” Create interactive maps automatically. Built-in postal codes mean lightning-fast mapping for more than 50 countries worldwide. Use custom geocodes and territories for personalized regions, like sales areas. We designed Tableau maps specifically to help your data stand out.; Ditch the static slides for live stories that others can explore. Create a compelling narrative that empowers everyone you work with to ask their own questions, analyzing interactive visualizations with fresh data. Be part of a culture of data collaboration, extending the impact of your insights.	built-in schema visualization; immediate insight into server status and query performance; View utilization and manage your indexes; A simpler way to validate your data; Extensible via plugins;
Statistics
Stacks 1.3K	Stacks 197
Followers 1.4K	Followers 384
Votes 8	Votes 0
Pros & Cons
Pros 6 Capable of visualising billions of rows 1 Responsive 1 Intuitive and easy to learn Cons 3 Very expensive for small companies	No community feedback yet
Integrations
No integrations available	Windows MongoDB Linux

What are some alternatives to Tableau, MongoDB Compass?

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.

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

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.

Related Comparisons

MongoDB Compass vs Tableau: What are the differences?

Key Differences between MongoDB Compass and Tableau

MongoDB Compass and Tableau are both popular tools used for data analysis and visualization, but they have some key differences that set them apart.

Data Storage and Structure: MongoDB Compass is a tool designed specifically for MongoDB databases, which store data in a JSON-like format called BSON. It allows users to easily navigate and query MongoDB databases. On the other hand, Tableau is a general-purpose data visualization tool that can connect to various data sources, including MongoDB, but it can also connect to traditional relational databases like SQL.
Querying and Aggregation: MongoDB Compass provides a visual interface for querying and aggregating data in MongoDB databases. It allows users to write and execute MongoDB-specific queries using a graphical user interface. Tableau, on the other hand, provides a more SQL-like query language called Tableau Calculation Language (TCL) for data manipulation and aggregation.
Data Visualization: Tableau is known for its powerful and flexible data visualization capabilities. It offers a wide range of chart types, interactive dashboards, and advanced visual analytics features. MongoDB Compass, on the other hand, focuses more on data exploration and manipulation rather than advanced visualizations.
Collaboration and Sharing: Tableau offers extensive collaboration and sharing features, allowing users to publish dashboards to the web or Tableau Server for easy sharing and collaboration. It also provides advanced security and permission settings to control access to data and dashboards. MongoDB Compass, on the other hand, is a client-side tool that runs locally on the user's machine, making it more suitable for individual use rather than collaboration.
Performance and Scalability: MongoDB Compass provides a user-friendly interface for performance profiling and optimization of MongoDB queries. It allows users to analyze and identify performance bottlenecks in their queries and provides recommendations for improvement. Tableau, on the other hand, is designed to handle large datasets and can scale to support enterprise-level data analysis and visualization.
Cost and Licensing: MongoDB Compass is free to use for managing and querying MongoDB databases. Tableau, on the other hand, offers both free and paid versions, with the paid versions offering more advanced features and scalability options. Tableau also requires a separate license for connecting to and analyzing certain data sources.

MongoDB Compass vs Tableau

Overview

MongoDB Compass vs Tableau: What are the differences?