Software Alternatives & Reviews

Improvado.io VS Pandas

Compare Improvado.io VS Pandas and see what are their differences

Improvado.io logo Improvado.io

Improvado is an ETL platform that extracts data from 300+ pre-built connectors, transforms it, and seamlessly loads the results to wherever you need them. No more Tedious Manual Work, Errors or Discrepancies. Contact us for a demo.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Improvado.io Landing page
    Landing page //
    2023-08-31

Consolidate all your marketing data in one place to get better business insights. Speed up your decision-making process and quickly implement optimizations without wasting time crunching the data. Real-time reports & dashboards eliminate manual reporting time by 90%. That’s what’ve done before for Ancestry, Asus, AdRoll and we can do it for you. Collaborate effectively with your team, other departments, and stakeholders. No more Tedious Manual Work, Errors or Discrepancies. Book a demo now at improvado.io

  • Pandas Landing page
    Landing page //
    2023-05-12

Improvado.io features and specs

  • Data Extraction and Loading: Integrate and manage data from 300+ sources
  • Data Transformation: Make your marketing data analysis-ready
  • Marketing Common Data Model: Automate cross-channel normalization
  • Professional Services: Yes
  • Managed Services: Managed Data Warehouse
  • Data Synchronization: Yes
  • Managed API: Managed data sources API
  • Data Pipeline Orchestration: Yes
  • Customizable: Yes
  • Customer Support: 24/7
  • Visualizations: Yes
  • Extraction templates: Yes

Pandas features and specs

No features have been listed yet.

Improvado.io videos

How to Leverage Data to Drive Massive Revenue - Sponsored by Improvado.io

More videos:

  • Demo - Improvado Demo - ETL for Marketers
  • Demo - Improvado Demo

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

Category Popularity

0-100% (relative to Improvado.io and Pandas)
Marketing
100 100%
0% 0
Data Science And Machine Learning
Data Integration
100 100%
0% 0
Data Science Tools
0 0%
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 Improvado.io and Pandas

Improvado.io Reviews

Funnel.io Alternatives and Competitors in 2022
The Improvado platform is specifically focused on the marketing dilemma and will connect to any marketing platform you need. The integrations run deep, pulling in granular data from the keyword and ad level, to allow you to see the complete picture. It’s a great tool for marketing analysts, performance marketers, and managers of all levels, who use marketing data on a daily...
Source: improvado.io
15 Best ETL Tools in 2022 (A Complete Updated List)
Improvado is a data analytics software for marketers to help them keep all their data in one place. This marketing ETL platform will allow you to connect marketing API to any visualization tool and for that no need to have technical skills.
Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model
Improvado has a strong 4.5/5 on G2 with people not complaining much about anything. In cons, the high pricing was mentioned but considered reasonable with the level of support Improvado gives.
Source: windsor.ai
Domo vs Datorama vs Improvado vs Funnel.io vs Supermetrics
The biggest benefit I see for improvado.io is that their customer service reps are included in every package and are highly attentive. They'll help you build out custom dashboards and integrations to ensure that you're visualizing your data in exactly the way you need it.
Source: improvado.io

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

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 198 times since March 2021. 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.

Improvado.io mentions (0)

We have not tracked any mentions of Improvado.io yet. Tracking of Improvado.io recommendations started around Mar 2021.

Pandas mentions (198)

  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 14 days ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 8 days ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing Improvado.io and Pandas, you can also consider the following products

tray.io - Enterprise-scale integration platform

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

Integrator.io iPaaS by Celigo - Next-Generation iPaaS integration platform

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

Jitterbit - Jitterbit is an open source integration software that helps businesses connect applications, data and systems.

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