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Pandas VS Domo

Compare Pandas VS Domo and see what are their differences

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Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Domo logo Domo

Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Domo Landing page
    Landing page //
    2023-10-08

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Domo features and specs

  • Data Integration
    Domo supports integration with a vast array of data sources including databases, cloud services, spreadsheets, and more, allowing for seamless data consolidation.
  • Real-Time Data
    Domo provides real-time data processing and dashboard updates, ensuring users have access to the most current information for decision-making.
  • User-Friendly Interface
    Domo features an intuitive and easy-to-use interface, making it accessible even for non-technical users to create dashboards and reports.
  • Collaboration Tools
    Domo includes built-in collaboration tools, such as chat and notifications, which facilitate team communication and collaborative analysis.
  • Scalability
    Domo's cloud-based architecture ensures it can scale according to the size and needs of the business, managing large volumes of data efficiently.

Possible disadvantages of Domo

  • Cost
    Domo can be relatively expensive, especially for small businesses or startups with limited budgets, as it is priced based on data volume and user count.
  • Learning Curve
    Despite its user-friendly interface, some users may still find a steep learning curve when it comes to utilizing advanced features and functionalities.
  • Data Preparation
    Data preparation tools in Domo may not be as robust as some specialized ETL (Extract, Transform, Load) tools, sometimes requiring external preprocessing.
  • Customization Limitations
    While Domo offers a good degree of customization, certain advanced functionalities may still require custom development, which can be time-consuming.
  • Performance Issues
    Some users have reported performance issues, particularly with large datasets or complex queries, which can result in slower processing times.

Analysis of Pandas

Overall verdict

  • Pandas is highly recommended for tasks involving data manipulation and analysis, especially for those working with tabular data. Its efficiency and ease of use make it a staple in the data science toolkit.

Why this product is good

  • Pandas is widely considered a good library for data manipulation and analysis due to its powerful data structures, like DataFrames and Series, which make it easy to work with structured data. It provides a wide array of functions for data cleaning, transformation, and aggregation, which are essential tasks in data analysis. Furthermore, Pandas seamlessly integrates with other libraries in the Python ecosystem, making it a versatile tool for data scientists and analysts. Its extensive documentation and strong community support also contribute to its reputation as a reliable tool for data analysis tasks.

Recommended for

    Pandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.

Analysis of Domo

Overall verdict

  • Domo is a strong option for businesses looking for a robust, scalable, and user-friendly data analytics platform. Its strengths lie in real-time analytics, data integration capabilities, and ease of use. However, it might be costly for small businesses or those with limited budgets.

Why this product is good

  • Domo is a comprehensive business intelligence platform that offers a wide range of data visualization and analytics tools. It integrates with various data sources, allowing users to create interactive dashboards and reports.
  • The platform is user-friendly and cloud-based, which means it is accessible from anywhere with an internet connection. This flexibility is often appreciated by teams that require remote access or collaboration.
  • Domo offers real-time data insights, enabling businesses to make informed decisions quickly. Its ability to handle large volumes of data and provide meaningful insights is generally well-regarded.
  • The platform allows for custom app development on top of its existing infrastructure, which can help businesses tailor the solution to their specific needs.

Recommended for

  • Large enterprises that need to manage and analyze vast amounts of data efficiently.
  • Teams that prioritize real-time data insights and decision-making.
  • Organizations seeking a cloud-based solution for remote accessibility and collaboration.
  • Businesses that desire a platform capable of custom app development for unique business needs.

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Domo videos

+ Add

Domo Overview

More videos:

  • Review - Domo Customer Review: National Geographic
  • Review - Domo Customer Review: La-Z-Boy

Category Popularity

0-100% (relative to Pandas and Domo)

Pandas

Domo

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Dashboard
18 18%
Data Dashboard
82% 82
Data Science Tools
100 100%
Data Science Tools
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pandas and Domo

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Domo Reviews

Explore 6 Metabase Alternatives for Data Visualization and Analysis
Domo is a robust BI tool known for its ease of use and powerful data aggregation capabilities. It allows users to effortlessly combine data from various sources, apply advanced formulas, and create comprehensive views for accurate analysis.
Source: www.draxlr.com
Explore 7 Tableau Alternatives for Data Visualization and Analysis
Domo BI is a powerful business intelligence platform that transforms raw data into actionable insights. It offers flexible data experiences, diverse visualizations, and automated user management. User-friendly and browser-based, it connects to thousands of data sources with over 1000 connectors. Features like Magic ETL, data lineage tools, and Jupyter integration simplify...
Source: www.draxlr.com
5 best Looker alternatives
Domo: Domo is yet again a legacy data visualization tool with a vast set of data connectors to connect to. However, users often express concerns about its limited customer support and challenges in handling large datasets efficiently.
Source: www.draxlr.com
10 Best Alternatives to Looker in 2024
Domo: Domo is built for decision-makers who need real-time data access across various business operations. With strong mobile support and built-in connectors for multiple data sources, Domo offers versatile, on-the-go analytics.
Source: www.sigmacomputing.com
25 Best Statistical Analysis Software
Intuitive interface: Domo offers an easy-to-use interface that allows users to quickly navigate and interact with their data, making it suitable for users with varying levels of technical expertise.
Source: www.scijournal.org

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than Domo. While we know about 219 links to Pandas, we've tracked only 1 mention of Domo. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 29 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 2 months ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
View more

Domo mentions (1)

  • URL with Login code
    We currently use domo.com and need to display dashboards to screens. Source: almost 3 years ago

What are some alternatives?

When comparing Pandas and Domo, you can also consider the following products

NumPy - NumPy is the fundamental package for scientific computing with Python

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Tableau - 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.

OpenCV - OpenCV is the world's biggest computer vision library

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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