Anaconda vs datapine | TrustRadius

Likelihood to Recommend

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.

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Maike Holthuijzen

Ph.D student

University of VermontHigher Education, 5001-10,000 employees

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For someone like me, who had no real experience in using BI tools before, datapine suits quite well. Most of the features I was able to explore on my own, and their support was always really helpful (as well as the tutorials). In general, I was most impressed from their dashboard features. If you look for a software with detailed statistical analysis options, you maybe need to take another (additional) tool. My main use-case was the visualization and reporting of the analysis results, not the statistical analysis itself. This usually was done before with SPSS.

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Verified User

Manager in Research & Development

Consumer Electronics Company, 201-500 employees

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Feature Rating Comparison

Anaconda

datapine

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Anaconda

datapine

Visualization

Interactive Data Analysis

Anaconda

datapine

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Anaconda

datapine

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Anaconda

datapine

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Anaconda

datapine

Pixel Perfect reports

Customizable dashboards

Anaconda

datapine

Drill-down analysis

Formatting capabilities

Report sharing and collaboration

Anaconda

datapine

Publish to Web

Publish to PDF

Report Versioning

Report Delivery Scheduling

Anaconda

datapine

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

Predictive Analytics

Anaconda

datapine

Multi-User Support (named login)

Role-Based Security Model

Multiple Access Permission Levels (Create, Read, Delete)

Anaconda

datapine

Responsive Design for Web Access

Dashboard / Report / Visualization Interactivity on Mobile

Pros

First of all it is very easy to install and it is user friendly. You just download a Anaconda from its official site and you can start using it for coding (I usually code using Jupiter Notebook) Compared to Pycharm it is easier navigate in Anaconda(Jupiter Notebook)
For me it is a best environment to use if I have small projects. Jupiter Notebook is running tasks much faster compared to Pycharm and other IDE's.
In my work I usually need different scientific packages that are not commonly used. As Anaconda have thousands of libraries it helps me making my job easier

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Tigran Petrosyan

Risk Management Specialist

ACBA-CREDIT AGRICOLE BANKBanking, 5001-10,000 employees

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Intuitive user interface, especially within the analyzer (drag & drop).
Dashboard templates helped to create visually appealing dashboards.
Many different reporting options.
Customer support is really helpful.

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Verified User

Manager in Research & Development

Consumer Electronics Company, 201-500 employees

View all 1 answers on this topic

Cons

Anaconda could greatly benefit by integrating with Git and other versioning software.
The software's default installation is relatively bloated, slower on older machines, and could be improved by allowing for a lean default installation environment.
Anaconda has an issue with supporting the current version of Computer-Vision, a commonly used machine learning package.

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Ryan McGarry

Vice President of Research, Neuroscientist

SPARK NeuroResearch, 11-50 employees

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Some advanced functions need SQL knowledge.

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Verified User

Manager in Research & Development

Consumer Electronics Company, 201-500 employees

View all 1 answers on this topic

Likelihood to Renew

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.

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Matthew Deakyne

Academic Services Manager

The University of KansasHigher Education, 10,001+ employees

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No score

No answers yet

No answers on this topic

Usability

Anaconda 8.9

Based on 2 answers

The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.

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Juande Santander-Vela

Software Development Lead / Product Manager at Solution Level

SKA OrganisationResearch, 51-200 employees

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No score

No answers yet

No answers on this topic

Support Rating

Anaconda 8.9

Based on 16 answers

There is a lot of sources to get support for Anaconda based on the large data scientist or data engineer user community. Whenever you need something, you can type it in Google search, and you can find out people who had a similar problem and the solution for it.

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Xiaotong Song

Business Analyst

3MCosmetics, 10,001+ employees

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No score

No answers yet

No answers on this topic

Alternatives Considered

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

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Mauricio Quiroga-Pascal Ortega

Senior Cognitive Solutions Consultant

Cognitiva IBM Watson Strategic PartnerComputer Software, 51-200 employees

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No answers on this topic

Return on Investment

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.

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Verified User

Team Lead in Engineering

Computer Games Company, 51-200 employees

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No answers on this topic

Pricing Details

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Anaconda Editions & Modules

Edition

Commercial Edition	14.95¹
Team Edition	$10,000
Enterprise Edition	Contact for quote

per month

Additional Pricing Details

—

General

Free Trial

Yes

Free/Freemium Version

—

Premium Consulting/Integration Services

Yes

Entry-level set up fee?

Optional

$2,000*

* per installation

datapine Editions & Modules

On-premise Edition

datapine Server	$999¹

per installation

SaaS Edition

Basic	$249¹
Professional	$499¹
Premium	$769¹

per installation

Additional Pricing Details

Prices are per month.

Rating Summary

Anaconda

datapine

Anaconda

datapine

Anaconda

datapine

Anaconda

datapine

Likelihood to Recommend

Anaconda

datapine

Feature Rating Comparison

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Visualization

Interactive Data Analysis

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Pixel Perfect reports

Customizable dashboards

Drill-down analysis

Formatting capabilities

Report sharing and collaboration

Publish to Web

Publish to PDF

Report Versioning

Report Delivery Scheduling

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

Predictive Analytics

Multi-User Support (named login)

Role-Based Security Model

Multiple Access Permission Levels (Create, Read, Delete)

Responsive Design for Web Access

Dashboard / Report / Visualization Interactivity on Mobile

Pros

Anaconda

datapine

Cons

Anaconda

datapine

Likelihood to Renew

Anaconda

datapine

Usability

Anaconda

datapine

Support Rating

Anaconda

datapine

Alternatives Considered

Anaconda

datapine

Return on Investment

Anaconda

datapine

Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

Anaconda Editions & Modules

Edition

Additional Pricing Details

General

Free Trial

Free/Freemium Version

Premium Consulting/Integration Services

Entry-level set up fee?

datapine Editions & Modules

On-premise Edition

SaaS Edition

Additional Pricing Details

Rating Summary

Add comparison