Compare Supabase and Tiger Data 
Featured Products
At a Glance
Market Segments
Small-Business (87.9% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
No pricing available
Free Trial
Supabase
Star Rating
(36)4.7 out of 5
Market Segments
Small-Business (87.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SupabaseTiger 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 DataSupabase vs Tiger Data
When assessing the two solutions, reviewers found them equally easy to use. However, Supabase is easier to set up and administer.reviewers also preferred doing business with Supabase overall.
- Supabase and Tiger Data both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that Tiger Data is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Supabase over Tiger Data.
Pricing
Entry-Level Pricing
Supabase
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
Supabase
Free Trial is available
Tiger Data
Free Trial is available
Ratings
Meets Requirements
9.3
32
9.3
27
Ease of Use
9.0
33
9.0
27
Ease of Setup
9.3
28
8.5
17
Ease of Admin
9.3
15
8.7
10
Quality of Support
8.4
24
9.5
24
Has the product been a good partner in doing business?
9.7
10
9.3
10
Product Direction (% positive)
10.0
30
9.1
27
Features by Category
Customer Identity and Access Management (CIAM)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Functionality
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
AI Authentication Risk Management - Customer Identity and Access Management (CIAM)
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
AI Biometric & Behavioral Analysis - Customer Identity and Access Management (CIAM)
Not enough data
Not enough data
Not enough data
Not enough data
AI Context-Aware Security Controls - Customer Identity and Access Management (CIAM)
Not enough data
Not enough data
Not enough data
Not enough data
Management
8.3
7
Not enough data
8.8
7
Not enough data
8.8
7
8.7
5
8.8
7
Not enough data
8.3
7
8.3
5
Maintenance
9.3
7
Not enough data
9.0
7
8.3
5
8.1
7
8.3
5
Security
9.0
7
Not enough data
9.3
7
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
Functionality
8.6
7
Not enough data
9.0
8
Not enough data
6.7
6
Not enough data
7.2
6
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
7.8
6
Not enough data
Data Indexing
8.6
13
Not enough data
9.1
13
Not enough data
Filters
8.2
12
Not enough data
8.7
10
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
Agentic AI - Mobile Development Platforms
Not enough data
Not enough data
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
9.4
6
8.6
15
8.1
6
8.5
9
9.2
6
8.8
15
9.2
6
8.3
9
9.7
6
7.9
13
Database Administration
9.7
6
8.3
11
8.9
6
7.6
9
8.3
6
8.3
11
Availability
9.4
6
8.9
11
8.3
6
8.9
11
8.9
6
8.5
8
8.9
6
9.2
12
Security
9.4
6
8.8
8
9.2
6
7.1
11
9.2
6
8.6
7
Data Management
8.3
6
8.3
7
8.3
6
8.3
9
Categories
Categories
Shared Categories
Supabase and Tiger Data are categorized as Relational Databases, Database as a Service (DBaaS), Database Management Systems (DBMS), and Vector Database
Unique Categories
Supabase is categorized as Application Development Platforms, Mobile Development Platforms, and Customer Identity and Access Management (CIAM)
Tiger Data is categorized as Real-time Analytic Database, Columnar Databases, Time Series Databases, and Cloud Platform as a Service (PaaS)
Reviews
Reviewers' Company Size
Supabase
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
30.3%
Computer Software
27.3%
Marketing and Advertising
9.1%
Retail
6.1%
Consulting
3.0%
Other
24.2%
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
Supabase has no discussions with answers
Tiger Data has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
