Overview

Tableau

Stacks1.3K

Followers1.4K

Votes8

Holistics

Stacks20

Followers34

Votes0

Holistics vs Tableau: What are the differences?

Key Differences between Holistics and Tableau

Holistics and Tableau are both powerful data visualization and business intelligence tools that provide insights based on data analysis. However, there are several key differences between the two platforms:

Pricing Model: Holistics adopts a subscription-based pricing model, offering various plans tailored to different user needs. In contrast, Tableau follows a more traditional approach, where users purchase licenses based on the number of users or the server's computing power.
Ease of Use and Learning Curve: Tableau is known for its user-friendly interface, which allows users to quickly create and customize visualizations without extensive technical knowledge. On the other hand, Holistics is designed for data professionals and analysts, offering more powerful data modeling and transformation capabilities, but with a steeper learning curve.
Data Source Connectivity: Tableau provides robust connectivity options, including direct connections to various data sources such as databases, spreadsheets, and online services. In comparison, Holistics specializes in accessing data directly from databases, particularly SQL-based sources, offering advanced query capabilities and data transformations.
Collaboration and Sharing: Tableau emphasizes collaboration and sharing capabilities, allowing users to publish and share dashboards, reports, and visualizations with colleagues and stakeholders. Holistics also supports collaboration but focuses more on sharing SQL data models, data reports, and insights via its web-based interface.
Data Governance and Security: Tableau offers comprehensive data governance features, allowing administrators to control access, permissions, and define data-level security rules. Holistics also provides similar features but is more focused on providing self-service data access and analysis capabilities to business users.
Customization and Extensibility: Tableau provides a wide range of visual customization options, allowing users to create highly interactive dashboards, incorporating custom scripting, and embedding visualizations in other software applications. Holistics offers less built-in visualization customization but provides flexibility through customizable SQL queries for data modeling and transformations.

In summary, the key differences between Holistics and Tableau lie in their pricing models, ease of use, data source connectivity, collaboration features, data governance, and customization options. Holistics caters more to data professionals seeking powerful data modeling capabilities, while Tableau focuses on ease of use and collaboration for a broader range of users.

Advice on Tableau, Holistics

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	Holistics
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 cloud based business intelligence (BI) application with integrated data reporting and preparation tools. It connects to your databases and helps you get the data-driven insights you need.
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.	Build real-time, interactive dashboards using SQL; Combine data from different sources; Send report emails to external partners; White-label Embedded Analytics
Statistics
Stacks 1.3K	Stacks 20
Followers 1.4K	Followers 34
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 RDS MariaDB Amazon Redshift Presto MySQL TimescaleDB Snowflake

What are some alternatives to Tableau, Holistics?

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.