Anaconda vs Looker Studio comparison

The compared Anaconda and Google solutions aren't in the same category. Anaconda is ranked #13 in Data Science Platforms , with an average rating of 8.8, and holds a 2.1% mindshare in the category. Google is ranked #13 in RT , with an average rating of 7.2, and holds a 2.4% mindshare. Additionally, 94% of Anaconda users are willing to recommend the solution, compared to 83% of Google users who would recommend it.

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Executive Summary

We performed a comparison between Anaconda and Looker Studio based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Knime and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: August 2024).

Buyer's Guide

Data Science Platforms

August 2024

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

Data Science Platforms

Reporting

Featured Reviews

Ali Bin Tahir

Research Executive at NielsenIQ

Mar 1, 2024

Provides comprehensive data analysis and has a simple setup process

We use the product to conduct multiple and diverse statistical analyses across various datasets The software offers consistency across multiple research projects helping us with predictive analytics capabilities. The product’s most valuable capability is to handle large datasets and ensure…

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Rohan Sharma

AI/ML Co-Lead at Developer Student Clubs - GGV

May 9, 2024

Provides all the frameworks and makes it easy to create environments for multiple projects

I have been very enthusiastic about artificial intelligence and machine learning since my first year. I started learning Python in my first year and was using a MacBook with the M1 chip, which didn't have native Python support. I discovered Anaconda, which developed Python for Mac, so I started…

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Srini-Dhanaraj

Founder & CEO at imfine.club

May 28, 2024

Available for free and can help businesses resolve their data migration problems

It is a stable solution. Stability-wise, I rate the solution a ten out of ten. Google Data Studio is a cloud-based tool. With cloud-based tools, there can be two challenges, the first one being associated with the bandwidth of your data strength. If I run a report from my home because of the wi-fi connection, it may give an excellent response. When I run the reports, Google Data Studio develops reports from my home, and because of wi-fi, it works in an excellent manner. When I am on the road or at the wheel, if I use the internet data from my mobile to browse my reports, the performance may not be good, and this issue is not because of the product but because of the bandwidth. The second issue arises when you connect Google Data Studio to a source system to extract the data to do the visualization. If the source system is not responding as quickly as expected, it could be the reason why the report may be printed slowly. Considering the aforementioned aspects, the problem may not be because of Google Data Studio but because of the source system.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"SPSS is quite robust and quicker in terms of providing you the output."

"IBM SPSS Statistics depends on AI."

"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."

"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."

"in terms of the simplicity, I think the SPSS basic can handle it."

"It is a modeling tool with helpful automation."

"The most valuable feature is its robust statistical analysis capabilities."

More IBM SPSS Statistics pros

"I can use Anaconda for non-heavy tasks."

"Voice Configuration and Environmental Management Capabilities are the most valuable features."

"The most valuable feature is the set of libraries that are used to support the functionality that we require."

"It helped us find find the optimal area for where our warehouse should be located."

"The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results."

"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."

"It has a lot of functionality available, supports many libraries, and the developers are continually improving it."

"The virtual environment is very good."

More Anaconda pros

"The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues."

"This has improved our organization by allowing people to see their data and develop visualizations themselves."

"I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts."

"The best thing about the tool is that it allows you to share information easily and dashboards with colleagues and teammates because it's all online. No matter where you are, as long as you have the Internet, you can connect and use these dashboards. Google made good documentation for this tool. There are many examples of how to use and create dashboards and videos on YouTube. So, I think it's easy to learn."

"The product's initial setup phase is very simple."

"The ability to integrate with a great variety of data sources."

"The solution is free so that is a good feature."

"The ability to design complex data models and equations."

More Looker Studio pros

Cons

"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."

"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

"Improvements are needed in the user interface, particularly in terms of user-friendliness."

"The solution needs to improve forecasting using time series analysis."

"In some cases, the product takes time to load a large dataset. They could improve this particular area."

"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."

"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."

"The technical support should be improved."

More IBM SPSS Statistics cons

"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."

"When you install Anaconda for the first time, it's really difficult to update it."

"The interface could be improved. Other solutions, like Visual Studio, have much better UI."

"The solution would benefit from offering more automation."

"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."

"One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."

"Anaconda should be optimized for RAM consumption."

"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database."

More Anaconda cons

"Panels are not as easy to use as other data extraction UIs."

"There is a significant degree of sophistication required to compete with Tableau or Cognos."

"Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful."

"There are issues with integration and I encountered limits and warnings, especially with my pivot table size."

"The tool should come up with data modeling layer features that are present in other products like Power BI."

"It's not yet a replacement for a complete BI tool."

"Other tools might be worth considering if you need more advanced features or support for a larger user base."

"The tool has a lot of room for improvement. It's not very professional and allows for only simple tasks like indicating KPIs or quick calculations. It lacks a good calculation-based language like Power BI's DAX, making it less suitable for professional use. Additionally, the variety of visualization tools is limited, and customization options are restricted."

More Looker Studio cons

Pricing and Cost Advice

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

"It's quite expensive, but they do a special deal for universities."

"We think that IBM SPSS is expensive for this function."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"I rate the tool's pricing a five out of ten."

"The price of this solution is a little bit high, which was a problem for my company."

"The price of IBM SPSS Statistics could improve."

More IBM SPSS Statistics pricing and cost advice

"The licensing costs for Anaconda are reasonable."

"My company uses the free version of the tool. There is also a paid version of the tool available."

"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."

"The tool is open-source."

"The product is open-source and free to use."

"The tool is free."

"The product is available for free."

"The cost is quite affordable based on feature analysis."

"The solution is free but the Google Looker is expensive."

"I think the tool is cheap because you don't need to pay anything for using the tool. However, when connecting and analyzing other data sources, you should consider where to analyze this information because Google Data Studio doesn't handle much data well. You must also consider how you will connect this data to it. In this case, you might need to hire DevOps or a data team to help with these issues."

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Top Industries

By visitors reading reviews

University

13%

Financial Services Firm

13%

Educational Organization

10%

Computer Software Company

Financial Services Firm

18%

Computer Software Company

10%

Government

Manufacturing Company

Computer Software Company

17%

Financial Services Firm

12%

Manufacturing Company

10%

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

What is your experience regarding pricing and costs for IBM SPSS Statistics?

While the pricing of the product may be higher, the accompanying service and features justify the investment. However...

See all answers

What needs improvement with IBM SPSS Statistics?

In some cases, the product takes time to load a large dataset. They could improve this particular area.

See all answers

What do you like most about Anaconda?

The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using...

See all answers

What is your experience regarding pricing and costs for Anaconda?

Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding ta...

See all answers

What needs improvement with Anaconda?

A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda...

See all answers

What do you like most about Google Data Studio?

The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. W...

See all answers

What needs improvement with Google Data Studio?

The tool has a lot of room for improvement. It's not very professional and allows for only simple tasks like indicati...

See all answers

What is your primary use case for Google Data Studio?

The solution is a visualization tool that helps to make dashboards.

See all answers

Comparisons

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Compared 15% of the time

Alteryx vs IBM SPSS Statistics

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 12% of the time

Weka vs IBM SPSS Statistics

Compared 11% of the time

SAS Analytics vs IBM SPSS Statistics

Compared 3% of the time

More IBM SPSS Statistics Competitors

Databricks vs Anaconda

Compared 39% of the time

Microsoft Azure Machine Learning Studio vs Anaconda

Compared 12% of the time

Amazon SageMaker vs Anaconda

Compared 11% of the time

Microsoft Power BI vs Anaconda

Compared 9% of the time

KNIME vs Anaconda

Compared 4% of the time

More Anaconda Competitors

Amazon QuickSight vs Looker Studio

Compared 40% of the time

Microsoft Power BI vs Looker Studio

Compared 21% of the time

Tableau vs Looker Studio

Compared 11% of the time

Looker vs Looker Studio

Compared 8% of the time

QlikView vs Looker Studio

Compared 5% of the time

More Looker Studio Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

August 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Anaconda

September 2024

Download Anaconda product report

Buyer's Guide

Looker Studio

August 2024

Download Looker Studio product report

Also Known As

SPSS Statistics

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IBM

Anaconda

Google

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

Google Looker Studio is a free tool designed to help users create visually appealing reports and dashboards, making data easier to understand. It allows you to connect to various data sources such as Google Analytics, Facebook Ads, and spreadsheets. With Looker Studio, you can create charts and graphs to showcase trends and comparisons, build comprehensive dashboards that provide an overview of your data, and customize reports to match your brand or preferences. Additionally, you can share your reports online or export them as PDFs for wider distribution.

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone

Genesys, Shueisha

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