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At a Glance
Market Segments
Enterprise (38.1% of reviews)
Small-Business (36.9% of reviews)
Entry-Level Pricing
Free
Free
Google Cloud BigQuery
Star Rating
(1,203)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansTIMi
Star Rating
(72)4.9 out of 5
Market Segments
Small-Business (36.9% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in its "Breadth of Data Sources" with a score of 9.4, allowing seamless access to a wide variety of data, while TIMi Suite, although strong, does not match this level of connectivity.
- Reviewers mention that TIMi Suite shines in "Ease of Use" with a score of 9.1, making it particularly favorable for small businesses, whereas Google Cloud BigQuery, with a score of 8.7, may present a steeper learning curve for new users.
- G2 users highlight that TIMi Suite's "Quality of Support" is rated at 9.3, indicating a strong customer service experience, while Google Cloud BigQuery's support, rated at 8.3, may not provide the same level of responsiveness.
- Users on G2 report that Google Cloud BigQuery's "Data Ingestion & Wrangling" capabilities are impressive, scoring 9.0, which is crucial for handling large datasets efficiently, while TIMi Suite's performance in this area is slightly lower.
- Reviewers mention that TIMi Suite's "Real-Time Data Collection" feature is rated at 9.4, making it a strong choice for businesses needing immediate insights, whereas Google Cloud BigQuery's score of 8.6 indicates it may not be as robust in this aspect.
- Users say that Google Cloud BigQuery's "Scalability" is a standout feature with a score of 9.3, making it ideal for enterprises looking to grow, while TIMi Suite, with a score of 9.2, is also scalable but may not handle massive data volumes as effectively.
Pricing
Entry-Level Pricing
Google Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
TIMi
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
Google Cloud BigQuery
Free Trial is available
TIMi
Free Trial is available
Ratings
Meets Requirements
8.8
612
9.4
54
Ease of Use
8.7
626
9.0
52
Ease of Setup
8.8
401
9.1
23
Ease of Admin
8.5
224
8.5
19
Quality of Support
8.4
564
9.3
52
Has the product been a good partner in doing business?
8.7
217
9.3
20
Product Direction (% positive)
9.2
600
9.5
46
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
Not enough data
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
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
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
Feature Not Available
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 Management
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Not enough data
Performance
9.1
220
|
Verified
Not enough data
Security
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Not enough data
Generative AI
7.7
132
Not enough data
7.9
129
Not enough data
Storage
9.1
70
Not enough data
8.8
70
Not enough data
Availability
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Not enough data
Performance
8.5
65
Not enough data
Security
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Not enough data
Support
8.7
66
Not enough data
8.9
66
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
78
9.1
17
9.0
79
9.3
18
8.8
79
9.4
18
Data Analysis
9.3
78
9.3
19
9.1
79
9.2
19
Decision Making
8.8
80
9.0
19
8.7
78
8.4
18
8.7
80
8.4
18
8.7
78
8.9
19
Generative AI
7.5
51
Not enough data
7.8
51
Not enough data
Marketing Operations
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Not enough data
Campaign Activity
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Not enough data
Agentic AI - Marketing Analytics
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Not enough data
Database
8.8
178
9.3
14
8.9
176
8.7
15
8.8
170
9.0
13
Integrations
8.4
139
8.0
9
8.6
136
8.0
9
Platform
8.9
153
8.8
14
8.9
168
9.5
14
8.6
136
8.0
9
Processing
9.3
170
7.7
11
9.1
164
9.2
12
Data Transformation
8.8
288
Not enough data
9.3
295
Not enough data
Connectivity
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Not enough data
Operations
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
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
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
Google Cloud BigQuery and TIMi are categorized as Big Data Processing and Distribution and Predictive Analytics
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Analytics, Marketing Analytics, Data Warehouse, and Data Clean Room
TIMi is categorized as Data Preparation, Data Science and Machine Learning Platforms, Analytics Platforms, and Statistical Analysis
Reviews
Reviewers' Company Size
Google Cloud BigQuery
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
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Information Technology and Services
12.3%
Financial Services
9.2%
Oil & Energy
7.7%
Banking
7.7%
Education Management
6.2%
Other
56.9%
Alternatives
Discussions
Is Big Query free?
3 Comments
BG
noRead more
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...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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