What users are saying about
51 Ratings
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228 Ratings
51 Ratings
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Score 8.6 out of 101

Google Charts

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228 Ratings
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Score 8.2 out of 101

Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

Google Charts

Google Charts can fit in your company if you're seeking a resource that can be managed, customized and also deployed all over the web, mobile apps or just add as an embedded object within your website or intranet resources. Can do awesome things for Finance entrepreneurs who wanted to take out the most from reports, dashboards with statistical analysis with a wide data source. For those who don't like web coding, or just get upset by handling crossing information from sheets to databases, this won't be the tool that fits with the business readiness that you might seek with IT developers that can understand the requirements wanted to be shown by Google Chart.
Victor Arana profile photo

Feature Rating Comparison

Platform Connectivity

Anaconda
7.0
Google Charts
Connect to Multiple Data Sources
Anaconda
10.0
Google Charts
Extend Existing Data Sources
Anaconda
8.0
Google Charts
Automatic Data Format Detection
Anaconda
3.0
Google Charts

Data Exploration

Anaconda
7.5
Google Charts
Visualization
Anaconda
8.0
Google Charts
Interactive Data Analysis
Anaconda
7.0
Google Charts

Data Preparation

Anaconda
7.5
Google Charts
Interactive Data Cleaning and Enrichment
Anaconda
8.0
Google Charts
Data Transformations
Anaconda
9.0
Google Charts
Data Encryption
Anaconda
6.0
Google Charts
Built-in Processors
Anaconda
7.0
Google Charts

Platform Data Modeling

Anaconda
8.1
Google Charts
Multiple Model Development Languages and Tools
Anaconda
10.0
Google Charts
Automated Machine Learning
Anaconda
6.5
Google Charts
Single platform for multiple model development
Anaconda
8.5
Google Charts
Self-Service Model Delivery
Anaconda
7.5
Google Charts

Model Deployment

Anaconda
6.5
Google Charts
Flexible Model Publishing Options
Anaconda
7.0
Google Charts
Security, Governance, and Cost Controls
Anaconda
6.0
Google Charts

BI Standard Reporting

Anaconda
Google Charts
7.8
Pixel Perfect reports
Anaconda
Google Charts
7.3
Customizable dashboards
Anaconda
Google Charts
7.8
Report Formatting Templates
Anaconda
Google Charts
8.3

Ad-hoc Reporting

Anaconda
Google Charts
8.4
Drill-down analysis
Anaconda
Google Charts
8.3
Formatting capabilities
Anaconda
Google Charts
8.3
Integration with R or other statistical packages
Anaconda
Google Charts
8.1
Report sharing and collaboration
Anaconda
Google Charts
8.9

Report Output and Scheduling

Anaconda
Google Charts
8.9
Publish to Web
Anaconda
Google Charts
9.4
Publish to PDF
Anaconda
Google Charts
8.7
Report Versioning
Anaconda
Google Charts
8.7
Report Delivery Scheduling
Anaconda
Google Charts
8.8
Delivery to Remote Servers
Anaconda
Google Charts
8.8

Data Discovery and Visualization

Anaconda
Google Charts
7.9
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
Google Charts
8.1
Location Analytics / Geographic Visualization
Anaconda
Google Charts
7.8
Predictive Analytics
Anaconda
Google Charts
7.7

Access Control and Security

Anaconda
Google Charts
8.8
Multi-User Support (named login)
Anaconda
Google Charts
9.0
Role-Based Security Model
Anaconda
Google Charts
8.6
Multiple Access Permission Levels (Create, Read, Delete)
Anaconda
Google Charts
8.9
Single Sign-On (SSO)
Anaconda
Google Charts
8.7

Mobile Capabilities

Anaconda
Google Charts
8.5
Responsive Design for Web Access
Anaconda
Google Charts
8.5
Dedicated iOS Application
Anaconda
Google Charts
8.6
Dedicated Android Application
Anaconda
Google Charts
8.7
Dashboard / Report / Visualization Interactivity on Mobile
Anaconda
Google Charts
8.4

Application Program Interfaces (APIs) / Embedding

Anaconda
Google Charts
8.4
REST API
Anaconda
Google Charts
8.3
Javascript API
Anaconda
Google Charts
8.4
iFrames
Anaconda
Google Charts
8.7
Java API
Anaconda
Google Charts
8.4
Themeable User Interface (UI)
Anaconda
Google Charts
8.6
Customizable Platform (Open Source)
Anaconda
Google Charts
7.8

Pros

Anaconda

  • Clear install story. There are a lot of ways to install python. There's only one way to install anaconda. This makes teaching and standardizing much easier.
  • Batteries included. It's easy to install things in python, but anaconda ships with most of what you need out of the box. This helps with standardization and reproducibility.
  • Good integrations with Jupyter and other visual tools. Jupyter is really convenient when learning various python packages. Anaconda makes these tools easy to launch and to use.
Matthew Deakyne profile photo

Google Charts

  • Using simple line charts, we can show how the usage of resources is within our team.
  • The most common way to use Google Charts is with simple JavaScript that you embed in your web page, and we did that to showcase and share our results.
  • All chart types are populated with data using the DataTable class, making it easy to switch between chart types as you experiment to find the ideal appearance.
No photo available

Cons

Anaconda

  • Although some other users mentioned the installation is "simple", we did encounter some challenge in a highly controlled environment (due to security reasons).
  • Jupyter Notebook is extremely slow when the client/server side of the network's speed/bandwidth is not balanced.
  • Bootstrapping Anaconda takes too long, sometimes I even started doubting it would respond any more.
  • If there are extra python packages you need but are not by default installed by Anaconda, then some efforts will be required to figure out how to put them in the right place.
No photo available

Google Charts

  • Processing speed with relatively large datasets. 10000 rows across 15 columns takes some processing time to manipulate, even 1500 rows can take 1-2 minutes just to process.
  • More customization, particularly for visual improvements like color gradients. We're happy that finally the borders of charts can be removed.
  • Fix the #REF! errors for the IMPORTRANGE formula. If you want businesses to use your products, it can't break every day multiple times because your formula for some reason doesn't want to work. A refresh can fix it some of the time, but it shouldn't break period.
No photo available

Likelihood to Renew

Anaconda

Anaconda 7.0
Based on 1 answer
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
Matthew Deakyne profile photo

Google Charts

Google Charts 7.3
Based on 8 answers
Google Charts is a good product. It's widely supported with deep documentation and a large community. But for me, it wasn't customizable enough. When we started with simple charts, it was great, but as we got deeper and more complex, our needs outgrew the library. If I was going forward, I would choose a more barebones library with more freedom and extensibility.
Daniel Ma profile photo

Usability

Anaconda

Anaconda 8.0
Based on 1 answer
It's really good at installing and getting started. It's less usable and configurable after that. If you stay in the ecosystem, and don't know how to Python any other way - it works really well.
Matthew Deakyne profile photo

Google Charts

Google Charts 7.0
Based on 1 answer
Google Charts is easy to use - there is no initial training needed and anyone can utilize. There are lots of room for improvements for troubleshooting and offering more assistance and options for usability.
No photo available

Reliability and Availability

Anaconda

No score
No answers yet
No answers on this topic

Google Charts

Google Charts 10.0
Based on 1 answer
Google charts is always available and provides fast output.
No photo available

Performance

Anaconda

No score
No answers yet
No answers on this topic

Google Charts

Google Charts 5.0
Based on 1 answer
Connectivity is occasionally very slow.
No photo available

Support

Anaconda

No score
No answers yet
No answers on this topic

Google Charts

Google Charts 10.0
Based on 1 answer
Google Support is always available and makes sure my problem is addrssed and we have a solution implemented or in action before the end of our convrsation
No photo available

Online Training

Anaconda

No score
No answers yet
No answers on this topic

Google Charts

Google Charts 5.0
Based on 1 answer
The online training was solely done through self training on google's guide to charts.
No photo available

Implementation

Anaconda

No score
No answers yet
No answers on this topic

Google Charts

Google Charts 10.0
Based on 1 answer
Easy to implement
No photo available

Alternatives Considered

Anaconda

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega profile photo

Google Charts

I use Google Charts in most instances, because our company loves being able to easily share slide decks with a shareable link on a cloud-based solution. Excel has much more functionality, but it's more difficult to update with a coworker (we have to email the presentation back and forth).
Katie Goh profile photo

Scalability

Anaconda

No score
No answers yet
No answers on this topic

Google Charts

Google Charts 8.0
Based on 1 answer
Google Charts is essential for quick, easy, reporting. There are opportunities for advanced features.
No photo available

Return on Investment

Anaconda

  • We can get any new employee set-up on Python for Machine learning in minutes, without any assistance from IT. That's real $ savings.
  • We started to experiment with Machine Learning a lot more, which leads to creating new projects which can have a tremendous impact on the business.
No photo available

Google Charts

  • It was a class project, we got really good scores.
  • Also, our collaborator from the city was very excited, and is working with us to deploy the visualizations we developed.
Anhong Guo profile photo

Pricing Details

Anaconda

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Google Charts

General

Free Trial
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

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