Charting the Future: an in-Depth Review of Cuttingedge Big Data Visualization Tools for 2025

The exponential growth of data necessitates advanced big data visualization tools to extract meaningful insights efficiently. This study evaluates the capabilities of leading visualization tools-Tableau, Microsoft Power BI, Looker Studio, Qlik Sense, and Grafana-based on scalability, real-time processing, usability, and integration with modern cloud environments. Using the Pradhan Mantri Awas Yojana (PMAY) dataset, a comparative analysis was conducted to predict these tools' effectiveness in predictive analytics, interactive dashboards, and AI-driven automation. The study reveals that these tools sustain diverse user needs, from beginners to experts, by advancing intuitive interfaces and seamless machine learning integration. Findings signify that Tableau and Power BI excel in predictive modeling and interactive reporting, while Grafana is optimal for real-time monitoring. These insights guide businesses in selecting the most suitable visualization platform, enhancing data-driven decision-making and strategic innovation in a rapidly evolving digital economy

Authors

Institutions

Publication Details

Published
2025-04-02
DOI
https://doi.org/10.23919/indiacom66777.2025.11115697
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Charting the Future: an in-Depth Review of Cuttingedge Big Data Visualization Tools for 2025

Sneh Prabha, A Negi, Chandrashekhar Azad, Lovish Tripathi
Manufacturing Process and Optimization
article

Charting the Future: an in-Depth Review of Cuttingedge Big Data Visualization Tools for 2025

Sneh Prabha, A Negi, Chandrashekhar Azad, Lovish Tripathi
article en

Abstract

The exponential growth of data necessitates advanced big data visualization tools to extract meaningful insights efficiently. This study evaluates the capabilities of leading visualization tools-Tableau, Microsoft Power BI, Looker Studio, Qlik Sense, and Grafana-based on scalability, real-time processing, usability, and integration with modern cloud environments. Using the Pradhan Mantri Awas Yojana (PMAY) dataset, a comparative analysis was conducted to predict these tools' effectiveness in predictive analytics, interactive dashboards, and AI-driven automation. The study reveals that these tools sustain diverse user needs, from beginners to experts, by advancing intuitive interfaces and seamless machine learning integration. Findings signify that Tableau and Power BI excel in predictive modeling and interactive reporting, while Grafana is optimal for real-time monitoring. These insights guide businesses in selecting the most suitable visualization platform, enhancing data-driven decision-making and strategic innovation in a rapidly evolving digital economy

Institute of Management Technology (IN)
Openalex Percentile: Top 70%
Manufacturing Process and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.