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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Looker Studio

Looker Studio

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.

Categories:
data-analytics dashboards reports data-visualization

Looker Studio Features

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

Pricing

  • Subscription-Based

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

Parquet Data Viewer

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.

Categories:
parquet viewer sql visualization open-source

Parquet Data Viewer Features

  1. Visualize Parquet file structures
  2. Preview data values
  3. Run SQL queries against Parquet files
  4. Generate statistics on Parquet data
  5. Support for complex data types
  6. Filtering and searching data
  7. Export query results

Pricing

  • Open Source

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