What users are saying about
Top Rated
41 Ratings
Top Rated
41 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8.7 out of 101
22 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 8 out of 101

Add comparison

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

IBM Analytics Engine

  • Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
  • But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
Prasanna Nattuthurai profile photo

Feature Rating Comparison

Data Exploration

Anaconda
7.5
IBM Analytics Engine
Visualization
Anaconda
7.0
IBM Analytics Engine
Interactive Data Analysis
Anaconda
8.0
IBM Analytics Engine

Data Preparation

Anaconda
7.0
IBM Analytics Engine
Interactive Data Cleaning and Enrichment
Anaconda
7.0
IBM Analytics Engine
Data Transformations
Anaconda
8.0
IBM Analytics Engine
Data Encryption
Anaconda
6.0
IBM Analytics Engine
Built-in Processors
Anaconda
7.0
IBM Analytics Engine

Platform Data Modeling

Anaconda
5.7
IBM Analytics Engine
Automated Machine Learning
Anaconda
4.0
IBM Analytics Engine
Single platform for multiple model development
Anaconda
7.0
IBM Analytics Engine
Self-Service Model Delivery
Anaconda
6.0
IBM Analytics Engine

Model Deployment

Anaconda
4.5
IBM Analytics Engine
Flexible Model Publishing Options
Anaconda
5.0
IBM Analytics Engine
Security, Governance, and Cost Controls
Anaconda
4.0
IBM Analytics Engine

Pros

  • Everything is in one place, so it's very convinient
  • It's easy to switch between multiple functionalities
  • Performance and Speed - Python and R run smoothly and efficiently.
No photo available
  • Simple to implement
  • Good support from IBM
  • Easy to use
  • Widely used for Big data implementation
Prasanna Nattuthurai profile photo

Cons

  • It's still a little buggy. Especially the launcher.
  • It's not always easy to set up. It's not exactly difficult: a Google search away for most things, but silly stuff like path names, installing custom fonts and colors. That kind of thing.
Ayush Choukse profile photo
  • I would like to see a more robust version of their online help
  • The speed of their business support is adequate, but I kind of expect more from such a powerhouse.
  • Problems with duration of cluster life
No photo available

Alternatives Considered

Simple story. I tried both. Canopy felt somehow unintuitive to use.
Alexander Lubyansky profile photo
We initially wanted to go with Google BigQuery, mainly for the name recognition. However, the pricing and support structure led us to seek alternatives, which pointed us to IBM. Apache Spark was also in the running, but here IBM's domination in the industry made the choice a no-brainer. As previously stated, the support received was not quite what we expected, but was adequate.
No photo available

Return on Investment

  • We save a lot of programming time, since all the add-ons are in the same environment.
  • Being multiplatform, Anaconda is perfect for work teams with many people, since it supports all operating systems.
  • The only negative thing that can happen is that at first, the way of working in Anaconda can be a bit confusing. Once passed the learning period, its daily use is very comfortable.
Alejandro Daniel Copati profile photo
  • The cost to implement was definitely a plus when it came to choosing the IBM Analytics Engine.
  • While sufficient, the overall support received from IBM was less than that for which we had planned.
  • We were able to separate storage and computing while paving the way for easier cluster administration.
No photo available

Pricing Details

Anaconda

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

IBM Analytics Engine

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