Apache Zeppelin vs Tableau

Overview

Tableau

Stacks1.3K

Followers1.4K

Votes8

Apache Zeppelin

Stacks190

Followers306

Votes32

GitHub Stars6.6K

Forks2.8K

Apache Zeppelin vs Tableau: What are the differences?

Integration Capabilities: Apache Zeppelin provides seamless integration with various data processing engines like Spark, Flink, and Hive, allowing for real-time data visualization and analytics. On the other hand, Tableau offers connectivity to a wide range of data sources and databases, making it easy to access and analyze data from different sources.
Collaboration Features: Apache Zeppelin emphasizes collaboration by enabling multiple users to work on the same notebook simultaneously, share visualizations, and communicate using built-in features like comments and annotations. In contrast, Tableau focuses more on individual analysis and reporting, with limited collaborative functionalities compared to Zeppelin.
Programming Languages Support: Apache Zeppelin supports multiple programming languages such as Python, SQL, Scala, and R, allowing users to leverage their preferred language for data analysis and visualization. While Tableau has a more user-friendly interface for visual analysis, it lacks the flexibility of supporting various programming languages for advanced analytics.
Customization Options: Apache Zeppelin offers extensive customization options for visualizations and dashboards, allowing users to create interactive and dynamic presentations tailored to their specific needs. Tableau also provides customization features, but it may not offer the same level of flexibility and control as Zeppelin in terms of design and functionality.
Deployment Flexibility: Apache Zeppelin can be easily deployed on-premises or in the cloud, providing flexibility in setting up the environment based on organizational requirements and data security considerations. Tableau, while offering both on-premises and cloud deployment options, may not offer the same level of customization and control over the deployment process as Zeppelin.
Licensing Cost: Apache Zeppelin is an open-source project, making it freely available for users without any licensing costs. On the other hand, Tableau is a commercial software product with various licensing options based on the features and functionalities required, which can result in substantial costs for organizations.

In Summary, Apache Zeppelin and Tableau differ in integration capabilities, collaboration features, programming language support, customization options, deployment flexibility, and licensing costs.

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CLI (Node.js)

Manual

Advice on Tableau, Apache Zeppelin

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	Apache Zeppelin
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.	A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.
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.	-
Statistics
GitHub Stars -	GitHub Stars 6.6K
GitHub Forks -	GitHub Forks 2.8K
Stacks 1.3K	Stacks 190
Followers 1.4K	Followers 306
Votes 8	Votes 32
Pros & Cons
Pros 6 Capable of visualising billions of rows 1 Intuitive and easy to learn 1 Responsive Cons 3 Very expensive for small companies	Pros 7 In-line code execution using paragraphs 5 Cluster integration 4 In-line graphing 4 Multi-User Capability 4 Zeppelin context to exchange data between languages
Integrations
No integrations available	Cassandra Apache Spark R Language PostgreSQL Elasticsearch HBase Hadoop Apache Flink Python

What are some alternatives to Tableau, Apache Zeppelin?

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.

Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

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.

Deepnote

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.

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.

Related Comparisons

Apache Zeppelin vs Tableau: What are the differences?

Integration Capabilities: Apache Zeppelin provides seamless integration with various data processing engines like Spark, Flink, and Hive, allowing for real-time data visualization and analytics. On the other hand, Tableau offers connectivity to a wide range of data sources and databases, making it easy to access and analyze data from different sources.
Collaboration Features: Apache Zeppelin emphasizes collaboration by enabling multiple users to work on the same notebook simultaneously, share visualizations, and communicate using built-in features like comments and annotations. In contrast, Tableau focuses more on individual analysis and reporting, with limited collaborative functionalities compared to Zeppelin.
Programming Languages Support: Apache Zeppelin supports multiple programming languages such as Python, SQL, Scala, and R, allowing users to leverage their preferred language for data analysis and visualization. While Tableau has a more user-friendly interface for visual analysis, it lacks the flexibility of supporting various programming languages for advanced analytics.
Customization Options: Apache Zeppelin offers extensive customization options for visualizations and dashboards, allowing users to create interactive and dynamic presentations tailored to their specific needs. Tableau also provides customization features, but it may not offer the same level of flexibility and control as Zeppelin in terms of design and functionality.
Deployment Flexibility: Apache Zeppelin can be easily deployed on-premises or in the cloud, providing flexibility in setting up the environment based on organizational requirements and data security considerations. Tableau, while offering both on-premises and cloud deployment options, may not offer the same level of customization and control over the deployment process as Zeppelin.
Licensing Cost: Apache Zeppelin is an open-source project, making it freely available for users without any licensing costs. On the other hand, Tableau is a commercial software product with various licensing options based on the features and functionalities required, which can result in substantial costs for organizations.

In Summary, Apache Zeppelin and Tableau differ in integration capabilities, collaboration features, programming language support, customization options, deployment flexibility, and licensing costs.

Apache Zeppelin vs Tableau

Overview