What users are saying about
Top Rated
81 Ratings
21 Ratings
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Score 8.1 out of 100
Top Rated
81 Ratings
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Score 9 out of 100

Likelihood to Recommend

Amazon SageMaker

Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
Thomas Young | TrustRadius Reviewer

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 | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Amazon SageMaker
Anaconda
8.8
Connect to Multiple Data Sources
Amazon SageMaker
Anaconda
9.1
Extend Existing Data Sources
Amazon SageMaker
Anaconda
9.2
Automatic Data Format Detection
Amazon SageMaker
Anaconda
8.6
MDM Integration
Amazon SageMaker
Anaconda
8.3

Data Exploration

Amazon SageMaker
Anaconda
8.6
Visualization
Amazon SageMaker
Anaconda
8.7
Interactive Data Analysis
Amazon SageMaker
Anaconda
8.5

Data Preparation

Amazon SageMaker
Anaconda
8.5
Interactive Data Cleaning and Enrichment
Amazon SageMaker
Anaconda
8.7
Data Transformations
Amazon SageMaker
Anaconda
9.1
Data Encryption
Amazon SageMaker
Anaconda
7.7
Built-in Processors
Amazon SageMaker
Anaconda
8.6

Platform Data Modeling

Amazon SageMaker
Anaconda
8.8
Multiple Model Development Languages and Tools
Amazon SageMaker
Anaconda
9.4
Automated Machine Learning
Amazon SageMaker
Anaconda
8.3
Single platform for multiple model development
Amazon SageMaker
Anaconda
8.9
Self-Service Model Delivery
Amazon SageMaker
Anaconda
8.6

Model Deployment

Amazon SageMaker
Anaconda
9.1
Flexible Model Publishing Options
Amazon SageMaker
Anaconda
8.9
Security, Governance, and Cost Controls
Amazon SageMaker
Anaconda
9.2

Pros

Amazon SageMaker

  • Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
  • Customization and easy to alter and change.
  • If you already are an Amazon user, you do not need to transition over to another software.
Anonymous | TrustRadius Reviewer

Anaconda

  • 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
Tigran Petrosyan | TrustRadius Reviewer

Cons

Amazon SageMaker

  • It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
  • Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.
Anonymous | TrustRadius Reviewer

Anaconda

  • 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.
Ryan McGarry | TrustRadius Reviewer

Likelihood to Renew

Amazon SageMaker

No score
No answers yet
No answers on this topic

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 | TrustRadius Reviewer

Usability

Amazon SageMaker

No score
No answers yet
No answers on this topic

Anaconda

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.
Juande Santander-Vela | TrustRadius Reviewer

Support Rating

Amazon SageMaker

No score
No answers yet
No answers on this topic

Anaconda

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.
Xiaotong Song | TrustRadius Reviewer

Alternatives Considered

Amazon SageMaker

Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.
Anonymous | TrustRadius Reviewer

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 | TrustRadius Reviewer

Return on Investment

Amazon SageMaker

  • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
  • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
  • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
Gavin Hackeling | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Pricing Details

Amazon SageMaker

General

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

Amazon SageMaker Editions & Modules

Additional Pricing Details

Anaconda

General

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

Anaconda Editions & Modules

Edition
Commercial Edition14.951
Team Edition$10,000
Enterprise EditionContact for quote
  1. per month
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Amazon SageMaker
9.9
Anaconda
9.0

Likelihood to Renew

Amazon SageMaker
Anaconda
7.0

Usability

Amazon SageMaker
Anaconda
8.9

Support Rating

Amazon SageMaker
Anaconda
8.9

Add comparison