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Compare Apache Flume and Google Cloud BigQuery 
Featured Products
At a Glance
Market Segments
Small-Business (38.1% of reviews)
Enterprise (38.2% of reviews)
Entry-Level Pricing
No pricing available
Free
Apache Flume
Star Rating
(22)3.9 out of 5
Market Segments
Small-Business (38.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache FlumeGoogle Cloud BigQuery
Star Rating
(1,218)4.5 out of 5
Market Segments
Enterprise (38.2% 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.
- 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 Apache Flume, while historically significant in the big data landscape, faces challenges in comparison to BigQuery. Reviewers mention that it is a good fit for simple transformations and reliable data streaming, but it lacks the advanced capabilities and user-friendly experience that many expect from modern data solutions.
- According to verified reviews, Google Cloud BigQuery's implementation process is praised for its quick setup and intuitive design. Users highlight the pay-as-you-go model, which simplifies operations and allows for experimentation with larger datasets without the need for cluster provisioning.
- Reviewers mention that while Apache Flume offers intuitive configuration files, it does not match the ease of use found in BigQuery. Users have noted that Flume's interface can be less user-friendly, which may hinder productivity for those unfamiliar with its setup.
- G2 reviewers highlight the quality of support provided by Google Cloud BigQuery, with many users expressing satisfaction with the assistance they receive. In contrast, while Apache Flume has its strengths, some users feel that its support could be improved, particularly for those new to the platform.
- Users report that Google Cloud BigQuery's advanced features, such as BigQuery ML and AI tooling integration, significantly enhance its functionality for data analysis. This contrasts with Apache Flume, which, despite being a reliable tool for data ingestion, lacks the same level of advanced analytical capabilities that modern users often seek.
Pricing
Entry-Level Pricing
Apache Flume
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 Flume
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
7.9
16
8.8
621
Ease of Use
7.4
16
8.7
637
Ease of Setup
7.0
10
8.7
411
Ease of Admin
6.2
10
8.5
227
Quality of Support
7.1
15
8.4
568
Has the product been a good partner in doing business?
8.5
9
8.6
220
Product Direction (% positive)
7.5
14
9.3
610
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
Not enough data
8.9
222
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
215
|
Verified
Not enough data
8.6
217
|
Verified
Not enough data
8.3
203
|
Verified
Not enough data
8.7
200
|
Verified
Integration
Feature Not Available
8.5
202
|
Verified
Not enough data
8.6
213
|
Verified
Feature Not Available
8.6
200
|
Verified
Deployment
Not enough data
7.7
186
|
Verified
Not enough data
9.1
218
|
Verified
Performance
Not enough data
9.2
228
|
Verified
Security
Not enough data
8.7
207
|
Verified
Not enough data
9.1
213
|
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
Not enough data
8.8
283
Not enough data
9.3
293
Connectivity
Not enough data
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
269
Operations
Not enough data
8.5
278
Not enough data
8.7
277
Not enough data
8.3
255
Not enough data
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
Apache Flume and Google Cloud BigQuery are categorized as Data Warehouse
Unique Categories
Apache Flume has no unique categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, and Data Clean Room
Reviews
Reviewers' Company Size
Apache Flume
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
Computer Software
33.3%
Telecommunications
19.0%
Information Technology and Services
9.5%
Banking
9.5%
Accounting
9.5%
Other
19.0%
Information Technology and Services
16.1%
Computer Software
13.5%
Retail
7.0%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.8%
Alternatives
Discussions
Apache Flume 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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