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Compare Apache Parquet and Google Cloud BigTable 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Mid-Market (43.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Parquet
Star Rating
(27)4.3 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache ParquetGoogle Cloud BigTable
Star Rating
(41)4.4 out of 5
Market Segments
Mid-Market (43.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud BigTableSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigTable excels in scalability, with a score of 9.4, allowing businesses to handle large volumes of data efficiently. In contrast, Apache Parquet, while still capable, has a lower scalability score of 8.6, which may limit its effectiveness for rapidly growing datasets.
- Reviewers mention that Google Cloud BigTable's integrated cache feature, rated at 8.6, significantly enhances application performance, making data retrieval faster. On the other hand, Apache Parquet does not have a comparable integrated caching mechanism, which could lead to slower performance in data-intensive applications.
- G2 users highlight that Google Cloud BigTable offers superior data replication capabilities with a score of 8.8, ensuring high availability and reliability. In contrast, Apache Parquet's data replication features are less robust, which may pose risks for users requiring consistent data availability.
- Users on G2 appreciate Google Cloud BigTable's strong security measures, particularly its role-based authorization, which scored 9.0. This feature allows for fine-grained access control, whereas Apache Parquet's security features, including data masking and encryption, scored lower at 7.7, indicating potential vulnerabilities.
- Reviewers say that Google Cloud BigTable's ease of use is a significant advantage, with a score of 8.9, making it more accessible for teams without extensive technical expertise. Conversely, Apache Parquet's ease of use score of 7.7 suggests that users may face a steeper learning curve.
- Users report that Google Cloud BigTable's quality of support, rated at 8.4, is a strong point, with many praising the responsiveness and helpfulness of the support team. In comparison, Apache Parquet's support quality, rated at 8.1, while still decent, does not match the level of service provided by Google Cloud BigTable.
Pricing
Entry-Level Pricing
Apache Parquet
No pricing availableGoogle Cloud BigTable
No pricing availableFree Trial
Apache Parquet
No trial information availableGoogle Cloud BigTable
No trial information availableRatings
Meets Requirements
8.5
21
8.9
29
Ease of Use
7.7
22
8.4
29
Ease of Setup
7.2
9
8.5
9
Ease of Admin
7.6
9
Not enough data
Quality of Support
8.1
19
8.2
25
Has the product been a good partner in doing business?
7.5
8
Not enough data
Product Direction (% positive)
8.6
25
8.8
29
Features by Category
Storage
9.0
13
Not enough data
8.8
12
Not enough data
Availability
7.4
14
Not enough data
8.2
12
Not enough data
8.8
12
Not enough data
Performance
8.6
12
Not enough data
Security
9.0
12
Not enough data
7.9
12
Not enough data
7.9
12
Not enough data
8.6
12
Not enough data
Support
8.9
12
Not enough data
8.2
12
Not enough data
Storage
Not enough data
Not enough data
Scalability
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Wide Column Database
Not enough data
Not enough data
Configuration
Not enough data
8.2
12
Not enough data
7.6
11
Not enough data
7.6
11
Not enough data
6.8
11
Not enough data
7.3
10
Database Administration
Not enough data
7.8
9
Not enough data
7.5
10
Not enough data
7.6
9
Availability
Not enough data
8.6
12
Not enough data
7.8
10
Not enough data
7.2
9
Not enough data
7.4
12
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
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 Parquet and Google Cloud BigTable are categorized as Columnar Databases
Unique Categories
Apache Parquet has no unique categories
Google Cloud BigTable is categorized as Database as a Service (DBaaS), Time Series Databases, and Wide Column Database
Reviews
Reviewers' Company Size
Apache Parquet
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigTable
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
38.5%
Information Technology and Services
19.2%
Financial Services
7.7%
Education Management
7.7%
Hospital & Health Care
3.8%
Other
23.1%
Information Technology and Services
13.5%
Computer Software
13.5%
Marketing and Advertising
8.1%
Financial Services
8.1%
Telecommunications
5.4%
Other
51.4%
Alternatives
Discussions
Apache Parquet has no discussions with answers
What is Google Cloud BigTable used for?
1 Comment
SM
Google Cloud Bigtable is a fully managed NoSQL database service provided by Google Cloud Platform (GCP).
It is used for handling huge volumes of data...Read more
Google Cloud BigTable has no more discussions with answers
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