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Compare Google Cloud BigQuery and KX 
Featured Products
At a Glance
Market Segments
Enterprise (38.1% of reviews)
Enterprise (58.0% of reviews)
Entry-Level Pricing
Free
$0.00
Google Cloud BigQuery
Star Rating
(1,202)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 plansKX
Star Rating
(51)4.6 out of 5
Market Segments
Enterprise (58.0% of reviews)
Pros & Cons
Entry-Level Pricing
$0.00
Browse all 3 pricing plansGoogle Cloud BigQuery vs KX
When assessing the two solutions, reviewers found Google Cloud BigQuery easier to use and set up. However, KX is easier to administer. Reviewers also preferred doing business with KX overall.
- Reviewers felt that KX meets the needs of their business better than Google Cloud BigQuery.
- When comparing quality of ongoing product support, reviewers felt that KX is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Google Cloud BigQuery over KX.
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
KX
Free
$0.00
Rate-limited plan for quickly and easily getting started with kdb+.
- Fastest query speed
- In-memory compute engine
- Extreme scalability
Free Trial
Google Cloud BigQuery
Free Trial is available
KX
Free Trial is available
Ratings
Meets Requirements
8.8
612
8.9
35
Ease of Use
8.7
627
6.7
38
Ease of Setup
8.7
402
8.5
24
Ease of Admin
8.5
224
8.9
14
Quality of Support
8.4
564
8.7
33
Has the product been a good partner in doing business?
8.6
217
9.0
12
Product Direction (% positive)
9.2
600
8.6
42
Features by Category
Management
8.6
121
Not enough data
8.3
119
Not enough data
Functionality
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
Not enough data
Data Management
8.9
220
|
Verified
Not enough data
8.3
211
|
Verified
Not enough data
8.9
216
|
Verified
Not enough data
8.6
213
|
Verified
Not enough data
8.3
202
|
Verified
Not enough data
8.7
202
|
Verified
Not enough data
Integration
8.5
201
|
Verified
Not enough data
8.6
214
|
Verified
Not enough data
8.6
201
|
Verified
Not enough data
Deployment
7.7
187
|
Verified
Not enough data
9.1
213
|
Verified
Not enough data
Performance
9.1
220
|
Verified
Not enough data
Security
8.7
208
|
Verified
Not enough data
9.1
214
|
Verified
Not enough data
Generative AI
7.6
129
Not enough data
7.8
126
Not enough data
Storage
9.1
70
8.8
20
8.8
70
9.5
22
Availability
8.4
62
7.9
14
8.5
66
7.6
16
8.6
68
9.0
16
Performance
8.5
65
9.1
17
Security
8.7
70
8.0
15
8.8
69
7.9
18
8.4
69
7.7
14
8.7
65
8.2
16
Support
8.7
66
7.7
11
8.9
66
9.1
16
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Data Indexing
Not enough data
8.0
9
Not enough data
9.3
10
Filters
Not enough data
8.5
10
Not enough data
9.1
9
Query latency
Not enough data
8.8
10
Not enough data
8.3
9
Data latency
Not enough data
8.9
9
Not enough data
8.0
9
Connectors
Not enough data
8.0
9
Not enough data
7.0
9
Scale
Not enough data
8.9
9
Not enough data
8.3
10
Architecture
Not enough data
8.1
9
Not enough data
8.3
9
Statistical Tool
8.7
79
Not enough data
9.0
79
Not enough data
8.8
80
Not enough data
Data Analysis
9.3
79
Not enough data
9.1
80
Not enough data
Decision Making
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Not enough data
Generative AI
7.5
51
Not enough data
7.8
51
Not enough data
Marketing Operations
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
Not enough data
Campaign Activity
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
Not enough data
Agentic AI - Marketing Analytics
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Not enough data
Database
8.8
177
Not enough data
8.9
175
Not enough data
8.8
169
Not enough data
Integrations
8.4
138
Not enough data
8.6
135
Not enough data
Platform
8.9
153
Not enough data
8.9
167
Not enough data
8.6
135
Not enough data
Processing
9.3
170
Not enough data
9.1
163
Not enough data
Data Transformation
8.8
285
Not enough data
9.3
294
Not enough data
Connectivity
8.1
253
Not enough data
8.2
251
Not enough data
8.7
280
Not enough data
8.7
271
Not enough data
Operations
8.5
280
Not enough data
8.7
279
Not enough data
8.3
257
Not enough data
8.4
264
Not enough data
8.5
256
Not enough data
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
Google Cloud BigQuery and KX are categorized as Columnar Databases
Unique Categories
Google Cloud BigQuery is categorized as Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
KX is categorized as Time Series Intelligence, Time Series Databases, Stream Analytics, Real-time Analytic Database, and Vector Database
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
KX
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
13.2%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.9%
Financial Services
46.0%
Banking
12.0%
Capital Markets
10.0%
Investment Banking
6.0%
Investment Management
4.0%
Other
22.0%
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
KX has no discussions with answers
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