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Compare Apache NiFi and Google Cloud BigQuery 
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At a Glance
Market Segments
Enterprise (52.2% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Apache NiFi
Star Rating
(25)4.2 out of 5
Market Segments
Enterprise (52.2% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache NiFiGoogle Cloud BigQuery
Star Rating
(1,201)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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data querying with a score of 9.3, making it a preferred choice for those needing fast and efficient data retrieval. In contrast, Apache NiFi, while strong in data transformation with a score of 9.3, does not match BigQuery's querying capabilities.
- Reviewers mention that Google Cloud BigQuery's built-in data analytics features, rated at 8.6, provide robust analytical capabilities directly within the platform. Meanwhile, users on G2 highlight Apache NiFi's strengths in data integration, scoring 9.0, which is crucial for users looking to connect various data sources seamlessly.
- G2 users indicate that Google Cloud BigQuery's scalability, rated at 9.3, allows businesses to handle large datasets effortlessly, making it ideal for enterprise-level applications. Conversely, users report that Apache NiFi's scalability is less impressive, with a score of 8.3, which may limit its effectiveness for larger operations.
- Reviewers say that Google Cloud BigQuery's quality of support, rated at 8.3, is generally reliable, although some users have expressed a desire for more responsive assistance. In contrast, users mention that Apache NiFi's support is rated lower at 7.5, indicating potential challenges in obtaining timely help when needed.
- Users report that Google Cloud BigQuery's data compression features, rated at 8.3, help optimize storage costs, which is a significant advantage for organizations managing extensive datasets. On the other hand, reviewers mention that Apache NiFi's data quality features, rated at 8.8, are particularly beneficial for ensuring the integrity of data flows.
- Users on G2 highlight that Google Cloud BigQuery's auto recovery feature, rated at 8.6, enhances reliability by ensuring data is not lost during processing. In contrast, reviewers mention that Apache NiFi's automation capabilities, with a score of 9.3, shine in streamlining workflows, making it a strong contender for users focused on operational efficiency.
Pricing
Entry-Level Pricing
Apache NiFi
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
Apache NiFi
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.3
21
8.8
612
Ease of Use
8.3
20
8.7
626
Ease of Setup
8.7
9
8.8
401
Ease of Admin
8.5
9
8.5
224
Quality of Support
7.4
17
8.4
564
Has the product been a good partner in doing business?
8.9
9
8.7
217
Product Direction (% positive)
7.7
20
9.2
600
Features by Category
Management
9.3
7
8.6
123
8.8
7
8.3
121
Functionality
9.5
7
9.0
121
9.3
7
9.1
124
8.8
7
9.0
124
9.3
7
8.9
123
8.3
7
9.4
124
Data Management
Not enough data
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
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Performance
Not enough data
9.1
220
|
Verified
Security
Not enough data
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Generative AI
Not enough data
7.7
132
Not enough data
7.9
129
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
79
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
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Generative AI
Not enough data
7.5
51
Not enough data
7.8
51
Marketing Operations
Not enough data
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
Campaign Activity
Not enough data
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
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Database
Not enough data
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Integrations
Not enough data
8.4
139
Not enough data
8.6
136
Platform
Not enough data
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Processing
Not enough data
9.3
170
Not enough data
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
295
Connectivity
Not enough data
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Operations
Not enough data
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
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
Apache NiFi and Google Cloud BigQuery are categorized as Big Data Integration Platforms and ETL Tools
Unique Categories
Apache NiFi has no unique categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Apache NiFi
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
Telecommunications
8.7%
Internet
8.7%
Hospital & Health Care
8.7%
Health, Wellness and Fitness
8.7%
Computer Software
8.7%
Other
56.5%
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%
Alternatives
Discussions
Apache NiFi has no discussions with answers
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
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