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Compare Druid and Zilliz 
Featured Products
At a Glance
Market Segments
Enterprise (57.1% of reviews)
Small-Business (48.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Druid
Star Rating
(31)4.3 out of 5
Market Segments
Enterprise (57.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DruidZilliz
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 plansDruid vs Zilliz
When assessing the two solutions, reviewers found Zilliz easier to use, set up, and administer. Reviewers also preferred doing business with Zilliz overall.
- Reviewers felt that Zilliz meets the needs of their business better than Druid.
- When comparing quality of ongoing product support, reviewers felt that Zilliz is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Zilliz over Druid.
Pricing
Entry-Level Pricing
Druid
No pricing availableZilliz
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
Druid
Free Trial is available
Zilliz
Free Trial is available
Ratings
Meets Requirements
8.4
20
9.3
48
Ease of Use
8.0
20
9.3
50
Ease of Setup
6.4
7
9.1
29
Ease of Admin
6.4
7
8.9
12
Quality of Support
7.9
18
9.5
44
Has the product been a good partner in doing business?
7.7
5
9.1
11
Product Direction (% positive)
7.3
17
9.5
45
Features by Category
Data Management
8.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Not enough data
8.0
5
Not enough data
Integration
Not enough data
Not enough data
7.0
5
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
8.3
5
Not enough data
Performance
8.3
5
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
9.7
24
Not enough data
9.4
24
Not enough data
9.3
25
Not enough data
9.5
25
Not enough data
9.3
24
Maintenance
Not enough data
9.3
23
Not enough data
9.2
24
Not enough data
9.3
24
Security
Not enough data
9.5
23
Not enough data
9.3
23
Management
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
Not enough data
Not enough data
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
Performance
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
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
Storage
8.8
10
Not enough data
7.8
10
Not enough data
Availability
8.7
9
Not enough data
7.6
9
Not enough data
8.3
10
Not enough data
Performance
8.9
9
Not enough data
Security
8.1
8
Not enough data
9.3
7
Not enough data
8.7
10
Not enough data
8.5
8
Not enough data
Support
8.8
10
Not enough data
9.2
11
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
Database
8.5
10
Not enough data
8.7
10
Not enough data
8.8
8
Not enough data
Integrations
8.8
8
Not enough data
8.1
9
Not enough data
Platform
8.5
9
Not enough data
8.7
9
Not enough data
8.1
9
Not enough data
Processing
8.6
7
Not enough data
8.7
9
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Druid and Zilliz share no categories
Unique Categories
Druid is categorized as Real-time Analytic Database, Time Series Databases, Columnar Databases, Relational Databases, Data Warehouse, and Big Data Processing and Distribution
Zilliz is categorized as Database Management Systems (DBMS) and Vector Database
Reviews
Reviewers' Company Size
Druid
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
28.6%
Telecommunications
10.7%
Leisure, Travel & Tourism
10.7%
Retail
7.1%
Information Technology and Services
7.1%
Other
35.7%
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
Is it good to use Druid (for a small dataset) as an in-memory database ?
1 Comment
DG
Yes it is good for medium size data sets to big scale datasetsRead more
Druid has no more discussions with answers
Zilliz has no discussions with answers
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