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Compare Amazon Redshift and BigML 
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At a Glance
Market Segments
Mid-Market (39.5% of reviews)
Small-Business (87.5% of reviews)
Entry-Level Pricing
$1.22 - $3.26 Per hour
$30 per month
Amazon Redshift
Star Rating
(397)4.3 out of 5
Market Segments
Mid-Market (39.5% of reviews)
Pros & Cons
Entry-Level Pricing
$1.22 - $3.26 Per hour
Browse all 6 pricing plansBigML
Star Rating
(24)4.7 out of 5
Market Segments
Small-Business (87.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
$30 per month
Browse all 3 pricing plansAmazon Redshift vs BigML
When assessing the two solutions, reviewers found BigML easier to use, set up, and administer. Reviewers also preferred doing business with BigML overall.
- Reviewers felt that BigML meets the needs of their business better than Amazon Redshift.
- When comparing quality of ongoing product support, reviewers felt that BigML is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of BigML over Amazon Redshift.
Pricing
Entry-Level Pricing
Amazon Redshift
RA3.4xlarge
$1.22 - $3.26
Per hour
On-demand, 1-Year, or 3-Year Terms
- Commit to save up to 34%
BigML
STANDARD
$30
per month
- UNLIMITED TASKS
- MAX. TASK SIZE: 64 MB
- MAX. PARALLEL TASKS: 2
Free Trial
Amazon Redshift
Free Trial is available
BigML
No trial information availableRatings
Meets Requirements
8.7
281
9.2
24
Ease of Use
8.7
281
9.0
24
Ease of Setup
8.6
138
9.2
22
Ease of Admin
8.4
128
9.3
22
Quality of Support
8.5
264
9.5
22
Has the product been a good partner in doing business?
8.7
127
9.1
22
Product Direction (% positive)
8.8
252
9.5
24
Features by Category
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
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
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Data Management
8.8
133
|
Verified
Not enough data
8.4
125
|
Verified
Not enough data
8.8
131
|
Verified
Not enough data
8.0
127
|
Verified
Not enough data
7.6
102
|
Verified
Not enough data
8.3
118
|
Verified
Not enough data
Integration
7.9
101
|
Verified
Not enough data
8.7
128
|
Verified
Not enough data
8.6
119
|
Verified
Not enough data
Deployment
8.1
102
Not enough data
8.9
130
|
Verified
Not enough data
Performance
8.9
134
|
Verified
Not enough data
Security
8.7
126
|
Verified
Not enough data
8.8
128
|
Verified
Not enough data
Generative AI
7.3
20
Not enough data
7.2
19
Not enough data
Storage
8.4
53
Not enough data
8.4
56
Not enough data
Availability
8.6
47
Not enough data
8.2
50
Not enough data
8.4
48
Not enough data
Performance
8.2
48
Not enough data
Security
8.7
47
Not enough data
8.4
52
Not enough data
8.1
47
Not enough data
8.5
48
Not enough data
Support
7.9
43
Not enough data
8.5
47
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
Not enough data
Not enough data
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
Categories
Categories
Shared Categories
Amazon Redshift and BigML share no categories
Unique Categories
Amazon Redshift is categorized as Columnar Databases, Data Warehouse, and Big Data Integration Platforms
BigML is categorized as Data Science and Machine Learning Platforms, Predictive Analytics, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Amazon Redshift
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
BigML
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
15.5%
Computer Software
12.7%
Financial Services
7.7%
Retail
5.2%
Telecommunications
4.7%
Other
54.1%
Computer Software
83.3%
Management Consulting
4.2%
International Trade and Development
4.2%
Electrical/Electronic Manufacturing
4.2%
Alternative Dispute Resolution
4.2%
Other
0.0%
Alternatives
Discussions
Should I use with a data mart for a frontend tool that make request on it ?
3 Comments
NM
Hi Mehdi
Can you elaborate your question?
AWS Redshift is a DataBase/Data Warehouse service, which is Ideal for Analytical use cases.
You can...Read more
When can I use Amazon redshift?
3 Comments
PG
Redshift is big data warehousing solution to handle petabytes of data and also for real time decisions. If you want highly optimized data warehousing...Read more
What are the characteristics of redshift?
2 Comments
AK
Redshift is mainly used for Big data and analytics to store the data in columner format. Retrieve the data is very fast and parallel processing also most...Read more
BigML has no discussions with answers
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