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Compare Tiger Data and Zilliz 
Featured Products
At a Glance
Market Segments
Small-Business (78.8% of reviews)
Small-Business (48.0% of reviews)
Entry-Level Pricing
Free Trial
Free
Tiger 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 DataZilliz
Star Rating
(53)4.7 out of 5
Market Segments
Small-Business (48.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 3 pricing plansTiger Data vs Zilliz
When assessing the two solutions, reviewers found Zilliz easier to use, set up, and administer. However, reviewers preferred doing business with Tiger Data overall.
- Tiger Data and Zilliz both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, Tiger Data and Zilliz provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of Zilliz over Tiger Data.
Pricing
Entry-Level Pricing
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
Zilliz
Starter
Free
The simplest way to experience a fully-managed vector database.
- Up to 1 million vectors
- Up to 2 free collections
- No credit card required
Free Trial
Tiger Data
Free Trial is available
Zilliz
Free Trial is available
Ratings
Meets Requirements
9.3
27
9.3
48
Ease of Use
9.0
27
9.3
50
Ease of Setup
8.5
17
9.1
29
Ease of Admin
8.7
10
8.9
12
Quality of Support
9.5
24
9.5
44
Has the product been a good partner in doing business?
9.3
10
9.1
11
Product Direction (% positive)
9.1
27
9.5
45
Features by Category
Management
Not enough data
9.7
24
Not enough data
9.4
24
8.7
5
9.3
25
Not enough data
9.5
25
8.3
5
9.3
24
Maintenance
Not enough data
9.3
23
8.3
5
9.2
24
8.3
5
9.3
24
Security
Not enough data
9.5
23
8.7
5
9.3
23
Management
9.0
8
Not enough data
8.9
9
Not enough data
8.6
7
Not enough data
8.6
6
Not enough data
Support
8.3
6
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.6
6
Not enough data
Security
9.3
7
Not enough data
9.0
8
Not enough data
8.0
5
Not enough data
9.0
7
Not enough data
Performance
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
Not enough data
Database Features
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
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
9.6
27
Not enough data
9.6
27
Filters
Not enough data
9.2
27
Not enough data
9.3
27
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
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
Not enough data
Database
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
Not enough data
Infrastructure
8.9
6
Not enough data
9.0
5
Not enough data
8.1
6
Not enough data
Configuration
8.6
15
Not enough data
8.5
9
Not enough data
8.8
15
Not enough data
8.3
9
Not enough data
7.9
13
Not enough data
Database Administration
8.3
11
Not enough data
7.6
9
Not enough data
8.3
11
Not enough data
Availability
8.9
11
Not enough data
8.9
11
Not enough data
8.5
8
Not enough data
9.2
12
Not enough data
Security
8.8
8
Not enough data
7.1
11
Not enough data
8.6
7
Not enough data
Data Management
8.3
7
Not enough data
8.3
9
Not enough data
Categories
Categories
Shared Categories
Tiger Data and Zilliz are categorized as Database Management Systems (DBMS) and Vector Database
Unique Categories
Tiger Data is categorized as Real-time Analytic Database, Columnar Databases, Time Series Databases, Database as a Service (DBaaS), Relational Databases, and Cloud Platform as a Service (PaaS)
Zilliz has no unique categories
Reviews
Reviewers' Company Size
Tiger Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Zilliz
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
24.2%
Financial Services
21.2%
Information Technology and Services
12.1%
Consulting
6.1%
Renewables & Environment
6.1%
Other
30.3%
Information Technology and Services
18.0%
Computer Software
18.0%
Education Management
12.0%
Computer & Network Security
10.0%
Marketing and Advertising
6.0%
Other
36.0%
Alternatives
Discussions
Tiger Data has no discussions with answers
Zilliz has no discussions with answers
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