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  5. Amazon Quicksight vs Holistics

Amazon Quicksight vs Holistics

OverviewComparisonAlternatives

Overview

Amazon Quicksight
Amazon Quicksight
Stacks207
Followers394
Votes5
Holistics
Holistics
Stacks20
Followers34
Votes0

Amazon Quicksight vs Holistics: What are the differences?

Introduction

This markdown delves into the key differences between Amazon Quicksight and Holistics for data visualization and business intelligence purposes.

  1. Pricing Model: Amazon Quicksight typically charges per user per month, while Holistics offers flexible pricing based on the number of events processed, enabling cost efficiency depending on usage patterns.

  2. Data Source Connectivity: Amazon Quicksight primarily connects to Amazon Web Services (AWS) data sources, whereas Holistics supports a wide variety of databases, including cloud-based databases and on-premises data sources, promoting greater flexibility in data integration.

  3. Customization and White-Labeling: Holistics enables extensive customization and white-labeling features, allowing businesses to align the tool with their branding and user experience, while Amazon Quicksight provides limited options for user interface customization.

  4. Dashboard Interactivity: Holistics offers a more interactive dashboard experience with features like drill-downs, filters, and user-defined metrics, facilitating deeper data exploration compared to Amazon Quicksight's relatively simpler dashboard interaction capabilities.

  5. Security and Access Control: Amazon Quicksight integrates tightly with AWS IAM for access control and security measures, while Holistics provides granular role-based access controls, ensuring the data security and compliance needs of different user types within an organization are met.

  6. Ease of Use and Learning Curve: Holistics is known for its user-friendly interface and intuitive design, reducing the learning curve for users, whereas Amazon Quicksight may require more training and familiarity with AWS services for efficient utilization.

In Summary, Amazon Quicksight and Holistics differ in pricing model, data source connectivity, customization capabilities, dashboard interactivity, security features, and ease of use, catering to varying business intelligence needs.

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Detailed Comparison

Amazon Quicksight
Amazon Quicksight
Holistics
Holistics

Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

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.

Pay-per-session pricing; Deliver rich, interactive dashboards for your readers; Explore, analyze, collaborate; SPICE (super-fast, parallel, in-memory, calculation engine); ML 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
207
Stacks
20
Followers
394
Followers
34
Votes
5
Votes
0
Pros & Cons
Pros
  • 1
    Super cheap
  • 1
    Better integration with aws
  • 1
    More features (table calculations, functions, insights)
  • 1
    Good integration with aws Glue ETL services
  • 1
    Dataset versionning
Cons
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
No community feedback yet
Integrations
Amazon RDS
Amazon RDS
Amazon S3
Amazon S3
Amazon Aurora
Amazon Aurora
Amazon Redshift
Amazon Redshift
PostgreSQL
PostgreSQL
Amazon RDS
Amazon RDS
MariaDB
MariaDB
Amazon Redshift
Amazon Redshift
Presto
Presto
MySQL
MySQL
TimescaleDB
TimescaleDB
Snowflake
Snowflake

What are some alternatives to Amazon Quicksight, Holistics?

Metabase

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

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

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

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

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

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

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

Shiny

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

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

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.

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