Software Alternatives, Accelerators & Startups

Database .NET VS Tableau

Compare Database .NET VS Tableau and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Database .NET logo Database .NET

Database .NET is an innovative, powerful and intuitive multiple database management tool.

Tableau logo Tableau

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.
  • Database .NET Landing page
    Landing page //
    2021-12-16
  • Tableau Landing page
    Landing page //
    2023-10-18

Database .NET features and specs

  • User-Friendly Interface
    Database .NET offers a simple and intuitive interface, making it accessible for users with varying levels of technical expertise. This feature helps reduce the learning curve for new users.
  • Multi-Database Support
    It supports various databases like SQL Server, MySQL, SQLite, PostgreSQL, and more, allowing users to manage different types of databases from a single platform.
  • Portability
    As a lightweight, standalone executable, Database .NET can be used without installation, facilitating easy distribution and use across different machines.
  • Data Import/Export
    The tool offers robust data import/export features which support formats like CSV, XML, and Excel, enhancing data management and sharing capabilities.
  • Regular Updates
    The application receives regular updates which include new features and bug fixes, ensuring that it remains up to date with the latest database management trends.

Possible disadvantages of Database .NET

  • Limited Advanced Features
    While suitable for basic database operations, Database .NET may lack some advanced features that experienced developers would find in more comprehensive database management systems.
  • Windows-Only
    Being restricted to the Windows platform limits its utility for users who want multi-platform support for macOS or Linux environments.
  • Performance with Large Databases
    Some users report performance issues when working with very large databases, which can hinder efficiency in some enterprise scenarios.
  • Community and Support
    Database .NET may not have as large of a community or as robust support options compared to more widely used, commercial database management solutions.
  • Dependence on .NET Framework
    As it relies on the .NET Framework, any issues or bugs within the framework can potentially affect the tool’s performance or compatibility.

Tableau features and specs

  • User-Friendly Interface
    Tableau offers an intuitive drag-and-drop interface that allows users to create visualizations and dashboards easily, even without extensive technical knowledge.
  • Data Connectivity
    Tableau supports a wide range of data sources including databases, spreadsheets, cloud services, and more, allowing for flexible data integration.
  • Advanced Analytics
    Advanced analytical capabilities, including real-time analytics, trend analysis, and predictive analytics, help users gain deeper insights from their data.
  • Community and Support
    A large, active user community provides a wealth of resources including forums, tutorials, and user groups for support and knowledge sharing.
  • Visualization Quality
    Tableau offers high-quality visualizations with customizable options that make it easier to create compelling reports and dashboards.

Possible disadvantages of Tableau

  • Cost
    Tableau can be expensive, especially for small businesses or individual users, with its various licensing and subscription fees.
  • Performance Issues
    For very large datasets or complex calculations, Tableau can experience performance slowdowns, affecting the efficiency and user experience.
  • Steep Learning Curve for Advanced Features
    While basic features are easy to use, mastering advanced functionalities can require a significant learning curve and technical expertise.
  • Customization Limitations
    Although Tableau is highly customizable, some users find it lacks flexibility when it comes to very specific or unique customization requirements.
  • Export Limitations
    Exporting visualizations and dashboards to formats like PDF or PowerPoint can sometimes be restrictive, limiting the ways reports are shared.

Database .NET videos

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Tableau videos

Power BI vs Tableau 🔥 5 Factors to Choose a Winner

More videos:

  • Review - What is Tableau Desktop? | A Tableau Desktop Overview
  • Demo - Tableau Software Demo

Category Popularity

0-100% (relative to Database .NET and Tableau)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
MySQL Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Database .NET and Tableau

Database .NET Reviews

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Tableau Reviews

Explore 7 Tableau Alternatives for Data Visualization and Analysis
Welcome to our complete reference, Tableau Alternatives for Data Visualization and Analysis. In this fast-changing digital age, data visualization and analysis have become critical for making informed decisions and strategies. Tableau is a well-known product that has had a considerable impact in this sector. Its user-friendly interface and powerful capabilities have made it...
Source: www.draxlr.com
Explore 6 Metabase Alternatives for Data Visualization and Analysis
To find the best Metabase alternative for your business, start by listing your specific requirements, such as customer support, data integrations, visualization options, user access controls, and budget. Compare these needs with the features of other BI tools like Draxlr, Tableau, Power BI, Looker, or Holistics. Once you've identified a few suitable options, take advantage...
Source: www.draxlr.com
5 best Looker alternatives
Tableau: Tableau is the earliest BI tools built to solve data problems, which means it has a lot of community support for all your queries and can lack what the new-age tools have and are building.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Tableau: Renowned for its powerful visualization capabilities, Tableau enables users to create highly intuitive and interactive dashboards. Favored for its user-friendly interface, Tableau effectively handles large datasets, making it a top choice for data visualization.
6 Best Looker alternatives
Pricing: Looker is typically more expensive than Tableau – but if you’re a growing company with increasing user numbers, Tableau can also get pricey.
Source: trevor.io

Social recommendations and mentions

Based on our record, Tableau should be more popular than Database .NET. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Database .NET mentions (1)

  • Migrating from ASP.NET to ASP.NET Core with Project Migrations
    I prefer Database .net over toad sql. Source: over 2 years ago

Tableau mentions (8)

  • Tableau Certified Data Analyst Exam Readiness
    Hey everyone, I'm interested in taking the Tableau Certified Data Analyst Exam Readiness course through tableau.com to prepare and get Tableau certified. I had some questions about the course, such as are the videos pre recorded or in person, do you have access to the material once the 90 days expire, and I was also wondering if anyone had input/advice for this course. Thanks! Source: almost 2 years ago
  • Where to publish knowledge sharing on Tableau reverse engineering and data dictionary generation?
    Could anyone recommend what media I should approach to publish my work (internet or print). I could try the Tableau forum in tableau.com but it's not very active + Tableau may be unappreciative as my work overlaps with their (pricey) data management solution. Plus it needs to be some high visibility / reputable media to count for my career development. Any recommendations welcome thanks!!! Source: over 2 years ago
  • I have huge loads of data in Redshift. How can I make this available to end-users after performing few procs and queries? It should be available online.
    Tableau public: tableau.com. Big player but your data will be made public and not really user-friendly data model. Source: about 3 years ago
  • What tips do you have on evaluating various BI tools for business needs? What are the essential criteria's you would include when evaluating different tools? The goal is to have an unbiased, objective approach.
    For example, we have a project to compare Tableau, Power BI, and InetSoft. The need for strong pagination-based email delivery eliminated Tableau. AWS's Linux instance is the targeted platform which makes Power BI less than ideal. Source: about 3 years ago
  • Anyone go into Data Analytics after this program?
    I just started learning Tableau because our dept is transitioning into Tableau from Power BI. Since I already have years of experience with Power BI I just went over their tutorials from tableau.com and got onboarded pretty quick. I'm still learning it but I'm at least able to build out reports and get things done. Its not too difficult to pickup one BI tool when you have experience with another. Source: about 3 years ago
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What are some alternatives?

When comparing Database .NET and Tableau, you can also consider the following products

DBeaver - DBeaver - Universal Database Manager and SQL Client.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

SQLGate - Simple but powerful IDE for multiple databases.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.

Sisense - The BI & Dashboard Software to handle multiple, large data sets.