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Compare Anaconda Platform and IBM Cloud Pak for Data 
Featured Products
At a Glance
Market Segments
Small-Business (44.4% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
Free 1 User With One-Time Purchase
No pricing available
Anaconda Platform
Star Rating
(243)4.5 out of 5
Market Segments
Small-Business (44.4% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 User With One-Time Purchase
Browse all 4 pricing plansIBM Cloud Pak for Data
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Anaconda AI Platform excels in user satisfaction, reflected in its higher overall G2 Score. Users appreciate its open-source nature, which makes it accessible for learning and building projects, enhancing the journey into machine learning.
- According to verified reviews, IBM Cloud Pak for Data is praised for its comprehensive integrated approach to data management and analytics. Users highlight its ability to unify siloed data, which has been invaluable for optimizing resource allocation and identifying critical trends.
- Reviewers mention that Anaconda AI Platform offers a more straightforward setup process, with many finding it easy to manage complex data science projects. The platform's ability to create and isolate environments significantly reduces bottlenecks, making it a reliable choice for users.
- Users say that IBM Cloud Pak for Data features an intuitive user interface that facilitates data analysis workflows. This seamless integration with Watson AI services allows for secure connections with various data sources, enhancing the overall user experience.
- G2 reviewers highlight that while IBM Cloud Pak for Data shines in data ingestion and wrangling capabilities, Anaconda AI Platform is favored for its package management features, particularly in handling dependency conflicts, which is crucial for reproducibility in research projects.
- According to recent feedback, both platforms have their strengths, but Anaconda AI Platform's focus on ease of use and community support makes it a preferred choice for small businesses and individual learners, while IBM Cloud Pak for Data is more suited for larger enterprises looking for robust data governance and analytics solutions.
Pricing
Entry-Level Pricing
Anaconda Platform
Free
Free
1 User With One-Time Purchase
- Basic workspace for the student or practitioner
- 5GB for shareable, cloud-hosted notebooks
- Thousands of curated packages
IBM Cloud Pak for Data
No pricing availableFree Trial
Anaconda Platform
Free Trial is available
IBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
9.0
149
8.5
47
Ease of Use
8.7
157
8.1
47
Ease of Setup
8.4
84
7.2
26
Ease of Admin
8.7
24
7.6
27
Quality of Support
8.3
130
8.3
42
Has the product been a good partner in doing business?
9.1
21
8.1
25
Product Direction (% positive)
9.3
140
8.8
47
Features by Category
Customization
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure
Not enough data
Not enough data
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure Provision
Not enough data
7.7
8
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
8.3
6
Not enough data
8.5
8
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
8.3
7
Management
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
Functionality
Not enough data
8.3
8
System
8.6
110
9.5
11
Model Development
8.5
111
8.3
8
7.8
104
8.5
8
8.2
111
9.1
9
8.5
115
8.8
8
Model Development
8.3
103
8.5
12
Machine/Deep Learning Services
8.2
107
8.7
9
8.6
109
9.4
8
8.4
107
9.6
8
8.4
105
9.0
7
Machine/Deep Learning Services
8.5
101
9.2
8
8.4
98
9.3
7
Deployment
8.2
109
9.3
9
8.5
113
9.3
9
8.3
112
8.9
9
Generative AI
8.2
57
8.3
5
7.7
54
8.3
5
6.9
54
8.3
5
Agentic AI - Data Science and Machine Learning Platforms
7.3
42
Not enough data
7.4
42
Not enough data
7.9
42
Not enough data
7.7
41
Not enough data
7.9
40
Not enough data
7.3
43
Not enough data
7.5
42
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Analytics
Not enough data
Not enough data
Security
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.3
5
Not enough data
8.8
8
Not enough data
8.6
7
Data Analysis
Not enough data
8.7
9
Not enough data
9.0
7
Decision Making
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
8.3
8
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
Not enough data
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Connectivity
Not enough data
8.0
23
|
Verified
Not enough data
8.6
22
|
Verified
Not enough data
8.1
25
|
Verified
Not enough data
8.7
24
|
Verified
Operations
Not enough data
8.7
26
|
Verified
Not enough data
8.9
25
|
Verified
Not enough data
8.4
23
|
Verified
Not enough data
8.8
24
|
Verified
Not enough data
8.7
13
|
Verified
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Anaconda Platform and IBM Cloud Pak for Data are categorized as Data Science and Machine Learning Platforms
Unique Categories
Anaconda Platform has no unique categories
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Big Data Analytics, Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Reviews
Reviewers' Company Size
Anaconda Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
23.3%
Computer Software
20.6%
Higher Education
7.4%
Education Management
6.3%
Research
4.2%
Other
38.1%
Computer Software
12.9%
Information Technology and Services
8.6%
Banking
8.6%
Financial Services
5.7%
Education Management
5.7%
Other
58.6%
Alternatives
Discussions
Is Anaconda free for companies?
2 Comments
SP
Don't know, but it is free for students. if you are student, then u can install and use it for free of cost.Read more
How to create the private environment in the anaconda?
1 Comment
G2
After opening the ANACONDA, there Environment option below Home, by clicking create we can create private environments, also if you already have private...Read more
Is there any way to say goodbye to pip install in Anaconda Enterprise
1 Comment
A_
Not yet as of nowRead more
IBM Cloud Pak for Data has no discussions with answers
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