Compare Dremio and IBM watsonx.data 
Featured Products
At a Glance
Market Segments
Enterprise (47.6% of reviews)
Small-Business (38.1% 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
(149)4.4 out of 5
Market Segments
Small-Business (38.1% 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.
- G2 reviewers report that Dremio excels in ease of use, with users highlighting its intuitive interface and quick onboarding process. One user mentioned, "I was surprised at how fast we could connect to multiple data sources," showcasing its user-friendly setup.
- Users say that IBM watsonx.data stands out for its flexibility in handling various workloads. Reviewers appreciate the ability to run different query engines, which optimizes performance and cost, making it a strong choice for enterprises with diverse data needs.
- According to verified reviews, Dremio is praised for its data integration capabilities, allowing seamless connections to a wide array of data sources, including relational and NoSQL databases, as well as cloud storage like S3 and HDFS. This versatility is a significant advantage for users managing diverse datasets.
- Reviewers mention that IBM watsonx.data provides robust governance features, which are crucial for enterprise users. One user noted, "governance is built in," emphasizing its importance for organizations that prioritize data compliance and security.
- Users highlight Dremio's strong performance in data querying, with a user stating, "I like the fact that you can query directly S3 and HDFS." This capability allows for efficient data access and analysis, making it a preferred choice for users focused on quick insights.
- G2 reviewers indicate that while IBM watsonx.data is effective for handling large datasets, some users find it less intuitive compared to Dremio. One reviewer mentioned challenges with setup, suggesting that Dremio's simpler onboarding process may be more appealing for teams looking to minimize implementation headaches.
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
8.8
118
Ease of Use
9.2
53
8.2
132
Ease of Setup
8.4
47
7.9
117
Ease of Admin
7.8
29
7.8
51
Quality of Support
8.5
50
8.5
114
Has the product been a good partner in doing business?
9.1
28
8.7
52
Product Direction (% positive)
9.7
46
9.2
119
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
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
8.0
5
Model Development
Not enough data
7.0
5
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
7.7
5
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
6.7
5
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
8.5
49
Feature Not Available
8.5
46
Data as a Service
7.6
11
8.3
46
8.2
11
8.5
47
Architecture
8.2
11
8.3
47
8.6
11
8.5
48
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
28
Feature Not Available
8.6
29
Integrations
9.0
18
8.3
28
7.9
13
8.5
28
Platform
9.1
20
8.4
27
8.7
13
8.6
28
7.9
13
8.5
28
Processing
9.1
18
8.8
27
8.6
13
8.9
25
Data Transformation
Feature Not Available
7.2
9
9.2
24
7.5
10
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
8.2
10
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%
Automotive
4.8%
Marketing and Advertising
4.8%
Other
47.6%
Information Technology and Services
19.4%
Computer Software
18.7%
Consulting
6.7%
Financial Services
5.2%
Banking
4.5%
Other
45.5%
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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