Looker Studio vs Parquet Data Viewer

Struggling to choose between Looker Studio and Parquet Data Viewer? Both products offer unique advantages, making it a tough decision.

Looker Studio is a Business & Commerce solution with tags like data-analytics, dashboards, reports, data-visualization.

It boasts features such as Drag-and-drop interface to build dashboards, reports and apps, Prebuilt customizable visualizations (charts, tables, maps, etc.), Interactive data exploration with filtering, drilling, pivoting, Scheduled email reports and alerts, Embedding analytics into web and mobile apps, REST API and SDKs for integration, Granular access control and permissions, Git-based workflow for development and deployment and pros including Intuitive and easy to use, no coding required, Powerful analytics and visualizations, Scales to large data volumes, Flexible embedding and integration options, Collaboration features for data sharing.

On the other hand, Parquet Data Viewer is a Data & Analytics product tagged with parquet, viewer, sql, visualization, open-source.

Its standout features include Visualize Parquet file structures, Preview data values, Run SQL queries against Parquet files, Generate statistics on Parquet data, Support for complex data types, Filtering and searching data, Export query results, and it shines with pros like Open source and free to use, Simple and intuitive UI, Fast querying of large Parquet datasets, Platform independent, Active development and community.

Feature	Looker Studio	Parquet Data Viewer
Overall Score	N/A	N/A
Primary Category	Business & Commerce	Data & Analytics

Product Overview

Looker Studio

Description: Looker Studio is a business intelligence and data analytics platform that enables users to explore, visualize and share data through an intuitive web interface. It features drag-and-drop tools to build dashboards, reports and data applications quickly without coding.

Parquet Data Viewer

Description: Parquet Data Viewer is an open-source tool for visually exploring and analyzing Parquet files. It allows you to view Parquet data structures, preview data values, run SQL queries, and generate statistics.

Key Features Comparison

Looker Studio Features

• Drag-and-drop interface to build dashboards, reports and apps
• Prebuilt customizable visualizations (charts, tables, maps, etc.)
• Interactive data exploration with filtering, drilling, pivoting
• Scheduled email reports and alerts
• Embedding analytics into web and mobile apps
• REST API and SDKs for integration
• Granular access control and permissions
• Git-based workflow for development and deployment

Parquet Data Viewer Features

• Visualize Parquet file structures
• Preview data values
• Run SQL queries against Parquet files
• Generate statistics on Parquet data
• Support for complex data types
• Filtering and searching data
• Export query results

Pros & Cons Analysis

Looker Studio

Pros

• Intuitive and easy to use, no coding required
• Powerful analytics and visualizations
• Scales to large data volumes
• Flexible embedding and integration options
• Collaboration features for data sharing

Cons

• Can be expensive for larger deployments
• Steep learning curve for advanced features
• Limited customization compared to open-source BI tools

Parquet Data Viewer

Pros

• Open source and free to use
• Simple and intuitive UI
• Fast querying of large Parquet datasets
• Platform independent
• Active development and community

Cons

• Limited to only Parquet file format
• Basic visualizations and charts
• Lacks some advanced analytics features

Pricing Comparison

Looker Studio

• Subscription-Based

Parquet Data Viewer

• Open Source