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Compare Tembo and Tiger Data 
Featured Products
At a Glance
Market Segments
Small-Business (84.6% of reviews)
Small-Business (78.8% of reviews)
Entry-Level Pricing
Free With One-Time Purchase
Free Trial
Tembo
Star Rating
(26)4.7 out of 5
Market Segments
Small-Business (84.6% of reviews)
Pros & Cons
Entry-Level Pricing
Free With One-Time Purchase
Browse all 3 pricing plansTiger 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 DataTembo vs Tiger Data
When assessing the two solutions, reviewers found Tembo easier to use, set up, and administer. Reviewers also preferred doing business with Tembo overall.
- Reviewers felt that Tembo meets the needs of their business better than Tiger Data.
- 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 Tembo over Tiger Data.
Pricing
Entry-Level Pricing
Tembo
Hobby Tier
Free
With One-Time Purchase
For personal projects, exploration and non-critical applications.
- 200+ Extensions
- 10+ Stacks
- Apps
Tiger 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
Tembo
Free Trial is available
Tiger Data
Free Trial is available
Ratings
Meets Requirements
9.4
25
9.3
27
Ease of Use
9.4
26
9.0
27
Ease of Setup
9.0
26
8.5
17
Ease of Admin
9.0
5
8.7
10
Quality of Support
9.0
24
9.5
24
Has the product been a good partner in doing business?
10.0
5
9.3
10
Product Direction (% positive)
10.0
24
9.1
27
Features by Category
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
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Message Queue (MQ)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
9.3
9
Not enough data
9.7
10
Not enough data
9.3
10
Not enough data
9.3
9
Not enough data
9.3
9
Not enough data
9.3
9
Not enough data
Integration
9.8
9
Not enough data
8.9
9
Not enough data
9.8
8
Not enough data
Deployment
9.6
9
Not enough data
9.2
10
Not enough data
Performance
9.3
9
Not enough data
Security
9.6
8
Not enough data
9.6
8
Not enough data
Generative AI
9.0
8
Not enough data
9.0
8
Not enough data
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
9.7
6
9.0
8
9.2
6
8.9
9
9.7
6
8.6
7
10.0
6
8.6
6
Support
9.4
6
8.3
6
9.4
6
8.8
7
9.4
6
8.8
7
9.7
6
8.6
6
Security
9.4
6
9.3
7
9.4
6
9.0
8
9.4
6
8.0
5
9.2
6
9.0
7
Performance
9.5
7
8.7
5
9.4
6
8.6
7
9.7
6
8.8
7
9.4
6
9.2
8
Not enough data
8.8
8
Database Features
9.1
11
9.6
8
9.4
12
9.2
10
9.6
12
9.3
10
9.6
12
9.1
9
9.2
11
8.9
9
8.8
10
9.1
9
9.2
10
9.4
9
Data Management
9.0
5
Not enough data
8.7
5
Not enough data
10.0
5
Not enough data
8.7
5
Not enough data
Availability
9.7
5
Not enough data
9.3
5
Not enough data
9.0
5
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
9.3
5
Not enough data
Not enough data
Not enough data
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
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
Agentic AI - AWS Marketplace
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
9.3
7
8.6
15
9.0
7
8.5
9
9.2
8
8.8
15
8.1
6
8.3
9
8.6
7
7.9
13
Database Administration
9.2
6
8.3
11
9.2
6
7.6
9
8.9
6
8.3
11
Availability
9.5
7
8.9
11
9.8
7
8.9
11
8.9
6
8.5
8
9.2
6
9.2
12
Security
9.3
7
8.8
8
8.6
6
7.1
11
8.7
5
8.6
7
Data Management
9.4
8
8.3
7
8.9
6
8.3
9
Database Features
9.1
11
9.6
8
9.4
12
9.2
10
9.6
12
9.3
10
9.6
12
9.1
9
9.2
11
8.9
9
8.8
10
9.1
9
9.2
10
9.4
9
Categories
Categories
Shared Categories
Tembo and Tiger Data are categorized as Vector Database, Columnar Databases, Time Series Databases, Database as a Service (DBaaS), and Relational Databases
Unique Categories
Tiger Data is categorized as Real-time Analytic Database, Database Management Systems (DBMS), and Cloud Platform as a Service (PaaS)
Reviews
Reviewers' Company Size
Tembo
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
Computer Software
42.3%
Information Technology and Services
11.5%
Consulting
3.8%
Public Relations and Communications
3.8%
Primary/Secondary Education
3.8%
Other
34.6%
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
Tembo has no discussions with answers
Tiger Data has no discussions with answers
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