Compare EXASOL and Google Cloud BigQuery 
At a Glance
Market Segments
Enterprise (39.1% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
EXASOL
Star Rating
(28)4.7 out of 5
Market Segments
Enterprise (39.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about EXASOLGoogle Cloud BigQuery
Star Rating
(1,224)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user satisfaction, boasting a high overall score that reflects its performance and reliability. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel smooth and efficient.
- Users say that EXASOL shines in query performance, particularly for highly analytical workloads. Reviewers highlight its in-memory processing capabilities, allowing them to query billions of rows and receive results in less than a second, which is particularly impressive for data-intensive tasks.
- According to verified reviews, Google Cloud BigQuery's implementation process is praised for its simplicity and speed. Users note that the pay-as-you-go model simplifies operations and enables experimentation with larger datasets without the need for extensive setup.
- Reviewers mention that while EXASOL offers strong performance, it has a smaller user base, which may limit the availability of community support and resources compared to Google Cloud BigQuery, which has a larger number of recent reviews indicating a more active user community.
- G2 reviewers highlight that Google Cloud BigQuery provides robust integration options, making it easier to connect with various data sources and tools. This flexibility is a significant advantage for users looking to streamline their data workflows.
- Users report that EXASOL's focus on performance comes with a trade-off in terms of ease of use and support. While it offers powerful features, some users feel that it requires more administrative work compared to the more user-friendly experience provided by Google Cloud BigQuery.
Pricing
Entry-Level Pricing
EXASOL
No pricing availableGoogle 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
Free Trial
EXASOL
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.6
19
8.8
626
Ease of Use
9.0
20
8.7
642
Ease of Setup
8.6
13
8.7
416
Ease of Admin
9.4
9
8.5
227
Quality of Support
9.4
18
8.3
573
Has the product been a good partner in doing business?
9.7
10
8.6
220
Product Direction (% positive)
8.5
16
9.3
614
Features by Category
Management
Not enough data
8.6
121
Not enough data
8.3
119
Functionality
Not enough data
9.0
119
Not enough data
9.1
123
Not enough data
9.0
123
Not enough data
8.9
122
Not enough data
9.3
122
Data Management
9.8
8
8.9
224
|
Verified
9.3
7
8.3
210
|
Verified
8.3
7
8.9
215
|
Verified
10.0
5
8.6
219
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.6
201
|
Verified
Integration
Not enough data
8.5
202
|
Verified
9.7
10
8.6
214
|
Verified
9.0
5
8.6
201
|
Verified
Deployment
10.0
6
7.7
186
|
Verified
9.0
5
9.1
223
|
Verified
Performance
10.0
7
9.1
233
|
Verified
Security
9.7
5
8.7
208
|
Verified
8.6
7
9.2
214
|
Verified
Generative AI
Not enough data
7.6
127
Not enough data
7.8
124
Storage
Not enough data
9.1
70
Not enough data
8.8
70
Availability
Not enough data
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Performance
Not enough data
8.5
65
Security
Not enough data
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
78
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Generative AI
Not enough data
7.5
50
Not enough data
7.8
50
Marketing Operations
Not enough data
8.8
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Campaign Activity
Not enough data
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Agentic AI - Marketing Analytics
Not enough data
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Database
Not enough data
8.8
175
Not enough data
8.9
173
Not enough data
8.7
167
Integrations
Not enough data
8.4
136
Not enough data
8.5
133
Platform
Not enough data
8.9
151
Not enough data
8.9
165
Not enough data
8.5
133
Processing
Not enough data
9.2
168
Not enough data
9.1
161
Data Transformation
9.6
8
8.8
283
10.0
7
9.3
293
Connectivity
8.3
6
8.1
251
7.9
7
8.2
249
9.2
10
8.7
278
9.0
7
8.7
269
Operations
7.7
8
8.5
279
Feature Not Available
8.7
277
Feature Not Available
8.3
255
8.6
7
8.4
262
Not enough data
8.5
254
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
EXASOL and Google Cloud BigQuery are categorized as Big Data Analytics and Data Warehouse
Unique Categories
EXASOL has no unique categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Marketing Analytics, Predictive Analytics, and Data Clean Room
Reviews
Reviewers' Company Size
EXASOL
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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
Financial Services
13.6%
Retail
9.1%
Internet
9.1%
Information Technology and Services
9.1%
Hospital & Health Care
9.1%
Other
50.0%
Information Technology and Services
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.2%
Other
51.7%
Alternatives
Discussions
Community Edition
1 Comment
Official Response from EXASOL
It is a free-to-use, one-node image of the Exasol In-Memory Database that can be installed on common virtualization solutions, including VMware, VirtualBox...Read more
Training
1 Comment
Official Response from EXASOL
As part of our online-self learning platform, Exacademy, you can get more information about Exasol and how to run our database.
Register here:...Read more
How do you use Exasol?
1 Comment
SA
We are using Exasol as a Database and we have created ETL pipeline using the Lua scripts in Exasol.
Exasol is pretty much similar than SQL server but...Read 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
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