Compare Pentaho Data Integration and TIMi 
At a Glance
Market Segments
Mid-Market (41.2% of reviews)
Small-Business (37.3% of reviews)
Entry-Level Pricing
No pricing available
Free
Pentaho Data Integration
Star Rating
(17)4.3 out of 5
Market Segments
Mid-Market (41.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Pentaho Data IntegrationTIMi
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 plansPentaho Data Integration vs TIMi
When assessing the two solutions, reviewers found TIMi easier to use, set up, and do business with overall. However, reviewers preferred the ease of administration with Pentaho Data Integration.
- Reviewers felt that TIMi meets the needs of their business better than Pentaho Data Integration.
- 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 Pentaho Data Integration.
Pricing
Entry-Level Pricing
Pentaho Data Integration
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
Pentaho Data Integration
No trial information availableTIMi
Free Trial is available
Ratings
Meets Requirements
8.7
15
9.3
55
Ease of Use
8.6
15
9.0
53
Ease of Setup
8.0
9
9.0
24
Ease of Admin
8.6
7
8.4
20
Quality of Support
7.2
12
9.3
53
Has the product been a good partner in doing business?
8.6
6
9.3
21
Product Direction (% positive)
9.2
14
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
Management
8.7
5
Not enough data
9.0
5
Not enough data
Functionality
9.7
5
Not enough data
9.7
5
Not enough data
9.3
5
Not enough data
8.3
5
Not enough data
8.7
5
Not enough data
Functionality
Not enough data
Not enough data
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
Security
Not enough data
Not enough data
Agentic AI - Cloud Migration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
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
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
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
Pentaho Data Integration and TIMi are categorized as Big Data Processing and Distribution
Unique Categories
Pentaho Data Integration is categorized as Cloud Migration, Big Data Integration Platforms, ETL Tools, On-Premise Data Integration, and Data Mapping
TIMi is categorized as Data Preparation, Data Science and Machine Learning Platforms, Analytics Platforms, Predictive Analytics, and Statistical Analysis
Reviews
Reviewers' Company Size
Pentaho Data Integration
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
Information Technology and Services
35.3%
Telecommunications
11.8%
Banking
11.8%
Internet
5.9%
Information Services
5.9%
Other
29.4%
Information Technology and Services
12.1%
Financial Services
9.1%
Banking
7.6%
Oil & Energy
7.6%
Education Management
6.1%
Other
57.6%
Discussions
Pentaho Data Integration has no discussions with answers
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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