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Compare Qubole and Weaviate 
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At a Glance
Market Segments
Enterprise (51.1% of reviews)
Small-Business (75.9% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
30 day free trial
Free
Qubole
Star Rating
(259)4.0 out of 5
Market Segments
Enterprise (51.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
30 day free trial
Browse all 3 pricing plansWeaviate
Star Rating
(29)4.6 out of 5
Market Segments
Small-Business (75.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Free
Free Trial is available
Browse all 4 pricing plansQubole vs Weaviate
When assessing the two solutions, reviewers found Weaviate easier to use, set up, and administer. Reviewers also preferred doing business with Weaviate overall.
- Reviewers felt that Weaviate meets the needs of their business better than Qubole.
- When comparing quality of ongoing product support, reviewers felt that Weaviate is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Weaviate over Qubole.
Pricing
Entry-Level Pricing
Qubole
Free Trial
30 day free trial
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source. Get started today: https://www.qubole.com/free-trial/
Weaviate
Self-Deployed
Free
Weaviate is an open-source vector database that simplifies the development of AI applications. Built-in vector and hybrid search, easy-to-connect machine learning models, and a focus on data privacy enable developers of all levels to build, iterate, and scale AI capabilities faster.
- Open-source, developer-friendly AI platform
- Connect with 20+ ML model integrations
- Combine vector and keyword searches seamlessly
Free Trial
Qubole
Free Trial is available
Weaviate
Free Trial is available
Ratings
Meets Requirements
8.4
211
8.8
27
Ease of Use
7.8
212
9.0
28
Ease of Setup
7.6
60
8.6
20
Ease of Admin
7.6
58
8.8
12
Quality of Support
7.9
177
8.6
26
Has the product been a good partner in doing business?
8.1
61
8.5
11
Product Direction (% positive)
7.1
208
9.2
28
Features by Category
System
9.0
7
Not enough data
Model Development
7.9
7
Not enough data
6.7
5
Not enough data
8.0
5
Not enough data
8.1
6
Not enough data
Model Development
8.3
5
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Machine/Deep Learning Services
Not enough data
Not enough data
8.0
5
Not enough data
Deployment
9.0
5
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Data Indexing
Not enough data
8.8
26
Not enough data
8.6
26
Filters
Not enough data
8.7
25
Not enough data
8.7
26
Database
8.0
64
Not enough data
8.4
83
Not enough data
8.3
79
Not enough data
Integrations
8.6
81
Not enough data
8.6
87
Not enough data
Platform
8.3
72
Not enough data
8.3
82
Not enough data
8.6
87
Not enough data
Processing
8.5
85
Not enough data
8.3
82
Not enough data
Data Transformation
8.0
119
|
Verified
Not enough data
8.8
10
|
Verified
Not enough data
Connectivity
8.8
107
|
Verified
Not enough data
8.6
123
|
Verified
Not enough data
8.3
108
|
Verified
Not enough data
8.5
113
|
Verified
Not enough data
Operations
7.0
104
|
Verified
Not enough data
7.8
116
|
Verified
Not enough data
7.2
75
|
Verified
Not enough data
7.8
69
|
Verified
Not enough data
8.8
11
|
Verified
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
Qubole and Weaviate share no categories
Unique Categories
Qubole is categorized as Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, and Big Data Integration Platforms
Weaviate is categorized as Vector Database
Reviews
Reviewers' Company Size
Qubole
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Weaviate
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
19.4%
Information Technology and Services
14.3%
Marketing and Advertising
12.2%
Internet
6.8%
Leisure, Travel & Tourism
4.2%
Other
43.0%
Computer Software
27.6%
Marketing and Advertising
13.8%
Consulting
10.3%
Information Technology and Services
10.3%
Information Services
6.9%
Other
31.0%
Alternatives
Discussions
1.What is the best way to pass external spark packages in Qubole Notebooks?;
2 Comments
RR
It give clarity about financial data which help at business level to expansion and cut down cost , to review apex and opex and budgeting prospectiveRead more
How do i integrate more charts or graphs in Qubole Notebooks in SQL for quick visualization
2 Comments
RR
we can create schma by using postman and multiple chart which to help to analysis the data and clarity about the decision making of further processRead more
How is Qubole going to survive the Kubernates wave in bigdata processing.
1 Comment
JV
Qubole supports Kubernetes for its control plane—it was announced in April 2019 during the Google Next '19 conference. Please sign up to our newsletter for...Read more
Weaviate has no discussions with answers
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