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At a Glance
Market Segments
Enterprise (47.6% of reviews)
Enterprise (36.6% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Dremio
Star Rating
(69)4.6 out of 5
Market Segments
Enterprise (47.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DremioIBM watsonx.data
Star Rating
(93)4.3 out of 5
Market Segments
Enterprise (36.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.dataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Dremio excels in Data Querying with a score of 9.2, allowing for efficient and fast data retrieval, while IBM watsonx.data, although strong, scores slightly lower at 8.8 in this area.
- Reviewers mention that Dremio's Data Lake Integration is highly rated at 9.1, making it easier to connect and manage data across various sources, whereas IBM watsonx.data scores 8.6, indicating a solid but less flexible integration capability.
- G2 users highlight Dremio's superior Real-Time Data Collection capabilities with a score of 8.8, which enhances the ability to work with live data, compared to IBM watsonx.data's score of 8.5, which suggests it may not be as robust in this area.
- Users on G2 report that Dremio's Ease of Use is rated at 9.1, making it more user-friendly for everyday tasks, while IBM watsonx.data has a lower score of 8.4, indicating a steeper learning curve for new users.
- Reviewers mention that Dremio's Data Compression feature is rated at 8.6, which helps in optimizing storage and performance, while IBM watsonx.data's score of 8.2 suggests it may not be as effective in this aspect.
- Users say that Dremio's Built-In Data Analytics feature, with a score of 7.6, is less favored compared to IBM watsonx.data's score of 8.6, indicating that IBM's offering may provide more robust analytical tools for users looking to derive insights directly from their data.
Pricing
Entry-Level Pricing
Dremio
No pricing availableIBM watsonx.data
No pricing availableFree Trial
Dremio
Free Trial is available
IBM watsonx.data
Free Trial is available
Ratings
Meets Requirements
8.7
52
8.5
70
Ease of Use
9.2
53
8.0
82
Ease of Setup
8.4
47
7.6
75
Ease of Admin
7.8
29
7.6
30
Quality of Support
8.5
50
8.3
65
Has the product been a good partner in doing business?
9.1
28
8.0
29
Product Direction (% positive)
9.7
46
9.2
70
Features by Category
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
Not enough data
Not enough data
Self Service
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Administration
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
8.0
5
Not enough data
7.7
5
Management
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.0
5
Not enough data
7.7
5
Not enough data
8.3
5
Compliance
Not enough data
8.0
5
Not enough data
7.0
5
Not enough data
7.7
5
Not enough data
7.7
5
Security
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Data Quality
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Maintainence
Not enough data
8.3
5
Not enough data
8.7
5
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
Not enough data
6.0
5
Not enough data
6.0
5
Not enough data
Not enough data
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
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
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
System
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
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
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
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
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 Management
8.6
23
8.3
6
8.5
20
8.6
6
8.3
12
8.3
6
7.7
20
8.3
6
Feature Not Available
7.5
6
8.9
23
8.1
6
Integration
Feature Not Available
8.6
6
8.8
21
8.3
6
9.0
22
8.6
6
Deployment
8.7
15
8.1
6
8.5
19
9.4
6
Performance
8.3
21
8.6
6
Security
8.2
20
9.2
6
Feature Not Available
9.4
6
Generative AI
6.9
12
8.3
5
Not enough data
8.7
5
Data Management
8.6
11
8.2
46
8.8
11
8.3
45
Feature Not Available
8.5
45
Data as a Service
7.6
11
8.3
45
8.2
11
8.5
45
Architecture
8.2
11
8.2
45
8.6
11
8.4
45
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Feature Not Available
8.6
28
Feature Not Available
8.8
27
Feature Not Available
8.6
28
Integrations
9.0
18
8.3
28
7.9
13
8.5
27
Platform
9.1
20
8.4
27
8.7
13
8.6
28
7.9
13
8.5
27
Processing
9.1
18
8.8
27
8.6
13
8.9
25
Data Transformation
Feature Not Available
7.2
9
9.2
24
7.2
9
Connectivity
8.6
22
7.2
9
Feature Not Available
7.4
9
8.9
23
8.0
9
8.9
25
7.4
9
Operations
7.2
25
7.5
10
7.1
25
8.0
10
7.8
27
8.0
9
7.7
21
6.8
10
7.0
21
7.8
10
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
Dremio and IBM watsonx.data are categorized as Big Data Processing and Distribution, Big Data Analytics, Data Warehouse, and Data as a Service (DaaS)
Unique Categories
Dremio is categorized as Semantic Layer Tools
IBM watsonx.data is categorized as Data Governance, Data Science and Machine Learning Platforms, and ETL Tools
Reviews
Reviewers' Company Size
Dremio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM watsonx.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
Financial Services
23.8%
Information Technology and Services
11.1%
Computer Software
7.9%
Marketing and Advertising
4.8%
Automotive
4.8%
Other
47.6%
Information Technology and Services
24.4%
Computer Software
14.6%
Consulting
8.5%
Financial Services
7.3%
Banking
6.1%
Other
39.0%
Alternatives
Discussions
What is a Dremio reflection?
1 Comment
Official Response from Dremio
A reflection is an optimized materialization of source data or a query, similar to a materialized view, that is derived from an existing table or view. A...Read more
Dremio has no more discussions with answers
IBM watsonx.data has no discussions with answers
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