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Compare Google Cloud BigTable and Tiger Data 
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At a Glance
Market Segments
Mid-Market (43.2% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
Google 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 BigTableTiger Data
Star Rating
(33)4.6 out of 5
Market Segments
Small-Business (78.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial
Learn more about Tiger DataSummary
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, making it ideal for large-scale applications, while Timescale, although strong, has a slightly lower scalability score of 8.6, which may limit its effectiveness for very large datasets.
- Reviewers mention that Timescale shines in its ease of use, scoring 9.0 compared to Google Cloud BigTable's 8.9, indicating that users find Timescale more intuitive for setting up and managing time-series data.
- G2 users highlight the superior quality of support provided by Timescale, with a perfect score of 10.0, while Google Cloud BigTable's support quality is rated at 8.4, suggesting that Timescale may offer more responsive and helpful customer service.
- Users on G2 report that Google Cloud BigTable has robust data replication features, which are crucial for maintaining data integrity across distributed systems, while Timescale's replication capabilities are not as emphasized, potentially impacting its reliability in multi-region deployments.
- Reviewers say that Timescale's advanced indexing features, scoring 9.2, allow for faster query performance, which is particularly beneficial for time-series data analysis, whereas Google Cloud BigTable's indexing capabilities are rated lower, which may lead to slower query responses in certain scenarios.
- Users say that Google Cloud BigTable's performance in handling large volumes of data is impressive, with a focus on low query latency, while Timescale, despite its strengths, may not match BigTable's performance in high-load environments, as indicated by its lower scores in query latency metrics.
Pricing
Entry-Level Pricing
Google Cloud BigTable
No pricing availableTiger Data
Free
Free Trial
30 day free trial. No credit card required.
- Create a fully-managed Timescale instance in 30 seconds.
- Ingest data at petabyte-scale with rock-solid reliability
- Analyze data using advanced time-series capabilities
Free Trial
Google Cloud BigTable
No trial information availableTiger Data
Free Trial is available
Ratings
Meets Requirements
8.9
29
9.3
27
Ease of Use
8.4
29
9.0
27
Ease of Setup
8.5
9
8.5
17
Ease of Admin
Not enough data
8.7
10
Quality of Support
8.2
25
9.5
24
Has the product been a good partner in doing business?
Not enough data
9.3
10
Product Direction (% positive)
8.8
29
9.1
27
Features by Category
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
8.3
5
Maintenance
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
8.3
5
Security
Not enough data
Not enough data
Not enough data
8.7
5
Management
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
8.6
7
Not enough data
8.6
6
Support
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.6
6
Security
Not enough data
9.3
7
Not enough data
9.0
8
Not enough data
8.0
5
Not enough data
9.0
7
Performance
Not enough data
8.7
5
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
9.2
8
Not enough data
8.8
8
Database Features
Not enough data
9.6
8
Not enough data
9.2
10
Not enough data
9.3
10
Not enough data
9.1
9
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
9.4
9
Storage
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
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
Data Indexing
Not enough data
Not enough data
Not enough data
Not enough data
Filters
Not enough data
Not enough data
Not enough data
Not enough data
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
Not enough data
Not enough data
Not enough data
Not enough data
Development
Not enough data
8.7
5
Not enough data
7.7
5
Not enough data
7.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Database
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
5
Not enough data
8.7
5
Not enough data
8.6
7
Infrastructure
Not enough data
8.9
6
Not enough data
9.0
5
Not enough data
8.1
6
Configuration
8.2
12
8.6
15
7.6
11
8.5
9
7.6
11
8.8
15
6.8
11
8.3
9
7.3
10
7.9
13
Database Administration
7.8
9
8.3
11
7.5
10
7.6
9
7.6
9
8.3
11
Availability
8.6
12
8.9
11
7.8
10
8.9
11
7.2
9
8.5
8
7.4
12
9.2
12
Security
Not enough data
8.8
8
Not enough data
7.1
11
Not enough data
8.6
7
Data Management
Not enough data
8.3
7
Not enough data
8.3
9
Database Features
Not enough data
9.6
8
Not enough data
9.2
10
Not enough data
9.3
10
Not enough data
9.1
9
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
9.4
9
Categories
Categories
Shared Categories
Google Cloud BigTable and Tiger Data are categorized as Database as a Service (DBaaS), Time Series Databases, and Columnar Databases
Unique Categories
Google Cloud BigTable is categorized as Wide Column Database
Tiger Data is categorized as Real-time Analytic Database, Database Management Systems (DBMS), Relational Databases, Cloud Platform as a Service (PaaS), and Vector Database
Reviews
Reviewers' Company Size
Google Cloud BigTable
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Tiger Data
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
13.5%
Computer Software
13.5%
Marketing and Advertising
8.1%
Financial Services
8.1%
Telecommunications
5.4%
Other
51.4%
Computer Software
24.2%
Financial Services
21.2%
Information Technology and Services
12.1%
Consulting
6.1%
Renewables & Environment
6.1%
Other
30.3%
Alternatives
Discussions
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
Tiger Data has no discussions with answers
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