Izenda vs Tableau

Overview

Tableau

Stacks1.3K

Followers1.4K

Votes8

Izenda

Stacks1

Followers1

Votes0

Izenda vs Tableau: What are the differences?

Introduction

Izenda and Tableau are both popular business intelligence tools that provide data analytics and visualization capabilities. However, they differ in several key aspects, as outlined below.

Price and Licensing: One major difference between Izenda and Tableau is their pricing and licensing models. Izenda follows a user-based pricing model, where the cost is determined by the number of users accessing the platform. On the other hand, Tableau offers both user-based pricing and a server licensing option, allowing organizations to choose the model that best suits their needs and budget.
Deployment Options: Izenda provides on-premises and cloud deployment options, offering flexibility to organizations in terms of where they host their data and applications. In contrast, Tableau primarily focuses on cloud-based deployment, although it also offers an on-premises option. This distinction in deployment options provides different levels of control and ease of access for users.
Data Source Connectivity: When it comes to connecting to various data sources, Tableau offers a wider range of options compared to Izenda. Tableau supports a vast number of data connectors, including popular databases, cloud storage services, web APIs, and more. Izenda, although it also provides connectivity to various databases, may have comparatively fewer pre-built connectors for specific data sources.
Data Modeling and Data Preparation: Tableau provides advanced data modeling and preparation capabilities, allowing users to perform complex data transformations, blends, and joins within the tool itself. Izenda, while still offering some data preparation features, may not offer the same level of data modeling capabilities as Tableau. This difference can impact the ease and flexibility of data preparation within the tool.
Visual Analytics and Dashboards: Both Izenda and Tableau offer comprehensive visual analytics and dashboarding features. However, Tableau is often considered to have a more intuitive and user-friendly interface for creating visually appealing dashboards. Tableau's drag-and-drop functionality and extensive customization options make it easier for users to design and interact with their dashboards.
Collaboration and Sharing: Tableau provides robust collaboration and sharing features, enabling users to easily share their dashboards and reports with others within and outside their organization. Tableau also offers the option to embed dashboards on websites or share them via Tableau Public. While Izenda also supports collaboration and sharing, the extent and ease of these features may differ compared to Tableau, depending on the specific implementation.

In summary, Izenda and Tableau differ in terms of pricing and licensing models, deployment options, data source connectivity, data modeling and preparation capabilities, visual analytics and dashboards, as well as collaboration and sharing features.

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Advice on Tableau, Izenda

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	Izenda
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.	It is a leading embedded analytics platform that makes it simple for your users to access top-tier reporting and robust dashboards directly within your application or portal.
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.	Dashboards; Data visualization; Adhoc reporting; White-labeling; Multi-tenancy; Scheduled alerts; Security integration; Unlimited distribution; Drag-and-drop interface; Administrative UI
Statistics
Stacks 1.3K	Stacks 1
Followers 1.4K	Followers 1
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	PostgreSQL Amazon Redshift Python Ruby Java PHP MySQL .NET Microsoft SQL Server Oracle

What are some alternatives to Tableau, Izenda?

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.

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Related Comparisons

Izenda vs Tableau: What are the differences?

Introduction

Izenda and Tableau are both popular business intelligence tools that provide data analytics and visualization capabilities. However, they differ in several key aspects, as outlined below.

Price and Licensing: One major difference between Izenda and Tableau is their pricing and licensing models. Izenda follows a user-based pricing model, where the cost is determined by the number of users accessing the platform. On the other hand, Tableau offers both user-based pricing and a server licensing option, allowing organizations to choose the model that best suits their needs and budget.
Deployment Options: Izenda provides on-premises and cloud deployment options, offering flexibility to organizations in terms of where they host their data and applications. In contrast, Tableau primarily focuses on cloud-based deployment, although it also offers an on-premises option. This distinction in deployment options provides different levels of control and ease of access for users.
Data Source Connectivity: When it comes to connecting to various data sources, Tableau offers a wider range of options compared to Izenda. Tableau supports a vast number of data connectors, including popular databases, cloud storage services, web APIs, and more. Izenda, although it also provides connectivity to various databases, may have comparatively fewer pre-built connectors for specific data sources.
Data Modeling and Data Preparation: Tableau provides advanced data modeling and preparation capabilities, allowing users to perform complex data transformations, blends, and joins within the tool itself. Izenda, while still offering some data preparation features, may not offer the same level of data modeling capabilities as Tableau. This difference can impact the ease and flexibility of data preparation within the tool.
Visual Analytics and Dashboards: Both Izenda and Tableau offer comprehensive visual analytics and dashboarding features. However, Tableau is often considered to have a more intuitive and user-friendly interface for creating visually appealing dashboards. Tableau's drag-and-drop functionality and extensive customization options make it easier for users to design and interact with their dashboards.
Collaboration and Sharing: Tableau provides robust collaboration and sharing features, enabling users to easily share their dashboards and reports with others within and outside their organization. Tableau also offers the option to embed dashboards on websites or share them via Tableau Public. While Izenda also supports collaboration and sharing, the extent and ease of these features may differ compared to Tableau, depending on the specific implementation.

Izenda vs Tableau

Overview

Izenda vs Tableau: What are the differences?