Compare DataRobot and TIMi 
At a Glance
Market Segments
Small-Business (54.2% of reviews)
Small-Business (37.3% of reviews)
Entry-Level Pricing
No pricing available
Free
DataRobot
Star Rating
(26)4.4 out of 5
Market Segments
Small-Business (54.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DataRobotTIMi
Star Rating
(73)4.8 out of 5
Market Segments
Small-Business (37.3% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansDataRobot vs TIMi
When assessing the two solutions, reviewers found TIMi easier to use, set up, and administer. Reviewers also preferred doing business with TIMi overall.
- Reviewers felt that TIMi meets the needs of their business better than DataRobot.
- When comparing quality of ongoing product support, reviewers felt that TIMi is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of TIMi over DataRobot.
Pricing
Entry-Level Pricing
DataRobot
No pricing availableTIMi
Community
Free
The whole TIMi Suite is 100% free for:
- “Startup Companies” (less than 500K€ of revenues), to bootstrap their activities
- Charity Companies, NGO’s, humanitarian companies
- Any consulting company engaged in charity or humanitarian work
Free Trial
DataRobot
No trial information availableTIMi
Free Trial is available
Ratings
Meets Requirements
8.8
23
9.3
55
Ease of Use
8.5
23
9.0
53
Ease of Setup
7.0
11
9.0
24
Ease of Admin
7.4
11
8.4
20
Quality of Support
7.9
22
9.3
53
Has the product been a good partner in doing business?
8.3
11
9.3
21
Product Direction (% positive)
8.4
22
9.5
47
Features by Category
Reports
Not enough data
8.0
18
Not enough data
8.8
23
Not enough data
8.3
21
Not enough data
8.4
16
Not enough data
7.9
19
Data Preparation
Not enough data
9.6
24
Not enough data
Feature Not Available
Data Modeling and Blending
Not enough data
9.3
25
Not enough data
9.3
25
Not enough data
9.4
26
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Analytics 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
Self Service
Not enough data
9.5
26
Not enough data
9.6
24
Not enough data
9.3
27
Not enough data
9.3
24
Not enough data
8.9
19
Not enough data
Feature Not Available
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Advanced Analytics
Not enough data
9.3
27
Not enough data
8.7
20
Not enough data
9.2
24
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
9.1
23
Not enough data
9.1
22
Not enough data
7.6
14
Not enough data
8.4
19
Data Source Access
Not enough data
9.4
27
Not enough data
9.4
26
Not enough data
8.7
18
Data Interaction
Not enough data
8.8
20
Not enough data
9.2
21
Not enough data
9.4
24
Not enough data
9.4
26
Not enough data
9.3
25
Not enough data
9.4
26
Not enough data
9.0
20
Not enough data
8.9
21
Data Exporting
Not enough data
8.9
23
Not enough data
9.0
24
Not enough data
9.2
24
Generative AI
Not enough data
Not enough data
Administration
Not enough data
9.4
13
Not enough data
9.0
12
Not enough data
8.8
8
Capabilities
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
8.6
7
Not enough data
9.1
9
Methodology
Not enough data
8.0
10
Not enough data
8.6
12
Not enough data
8.2
10
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
9.0
12
Model Development
Not enough data
8.6
12
Not enough data
9.1
13
Not enough data
9.2
13
Not enough data
9.5
14
Model Development
Not enough data
8.9
12
Machine/Deep Learning Services
Not enough data
Feature Not Available
Not enough data
8.7
10
Not enough data
Not enough data
Not enough data
9.1
9
Machine/Deep Learning Services
Not enough data
9.0
7
Not enough data
9.3
7
Deployment
Not enough data
8.8
10
Not enough data
8.9
11
Not enough data
9.5
14
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 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
9.1
17
Not enough data
9.3
18
Not enough data
9.4
18
Data Analysis
Not enough data
9.3
19
Not enough data
9.2
19
Decision Making
Not enough data
9.0
19
Not enough data
8.4
18
Not enough data
8.4
18
Not enough data
9.0
20
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
9.3
14
Not enough data
8.7
15
Not enough data
9.0
13
Integrations
Not enough data
8.0
9
Not enough data
Feature Not Available
Platform
Not enough data
8.8
14
Not enough data
9.5
14
Not enough data
Feature Not Available
Processing
Not enough data
7.7
11
Not enough data
9.2
12
Building Reports
Not enough data
9.1
23
Not enough data
9.1
22
Not enough data
7.6
14
Not enough data
8.4
19
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
DataRobot and TIMi are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
DataRobot is categorized as Low-Code Machine Learning Platforms
TIMi is categorized as Data Preparation, Analytics Platforms, Big Data Processing and Distribution, and Statistical Analysis
Reviews
Reviewers' Company Size
DataRobot
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
TIMi
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
Computer Software
20.8%
Information Technology and Services
12.5%
Telecommunications
8.3%
Architecture & Planning
4.2%
Biotechnology
4.2%
Other
50.0%
Information Technology and Services
12.1%
Financial Services
9.1%
Banking
7.6%
Oil & Energy
7.6%
Education Management
6.1%
Other
57.6%
Alternatives
Discussions
Can I use external libraries with my algorithms?
1 Comment
CP
Yes, you can. Algorithmia has complete package management capabilities built in to the platform. Read more
How much does using Algorithmia cost?
1 Comment
CP
You can get started on Algorithmia Teams for as little as $299/month. Go to teams.algorithmia.com and sign up now!Read more
I found a bug in an algorithm or it's not producing the expected results, what can I do?
1 Comment
CP
If you are an Algorithmia Enterprise user, contact your account team for an immediate response.
For Teams, while you are logged in to the platform, you...Read more
the processes developed can be automated in the background minimizing the use of resources?
2 Comments
LM
Yes. Definitely. You can launch it through command line, either in Windows or Linux (using Wine. Works perfectly fine)Read more
Do you think timi should start exploring artificial intelligence?
1 Comment
DS
Hola Carmen, thanks for the question! it really depends how you define AI: we have been pioneering AI since 2007 with the release of Timi Modeler, the very...Read more
What is TIMi Suite used for?
1 Comment
DS
TIMi is used for 3 main purpose:
- simplify Data Intetration: with native connection to most data sources, our ETL tool makes it easy to join, aggregate,...Read more
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