Compare Azure Synapse Analytics and IBM watsonx.data 
At a Glance
Market Segments
Mid-Market (41.2% of reviews)
Small-Business (38.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Synapse Analytics
Star Rating
(36)4.4 out of 5
Market Segments
Mid-Market (41.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Synapse AnalyticsIBM 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 Azure Synapse Analytics excels in its ability to unify data warehousing and big data into a single platform, making it easier for users to query and analyze large datasets efficiently. This integration of SQL for structured queries and Apache Spark for big data processing is particularly praised.
- Users say that IBM watsonx.data stands out for its flexibility, allowing users to run different query engines based on their workload. This adaptability helps optimize performance and cost, which is crucial for enterprises managing diverse data tasks.
- According to verified reviews, Azure Synapse Analytics is noted for its quick implementation process, with users highlighting the intuitive onboarding experience that simplifies the setup of end-to-end data analytics solutions.
- Reviewers mention that IBM watsonx.data is particularly effective for handling large and complex datasets, with features that support fast querying and analytics. Users appreciate the built-in governance, which is essential for maintaining data integrity in enterprise environments.
- G2 reviewers highlight that Azure Synapse Analytics provides a comprehensive suite of services under one umbrella, reducing dependency on multiple tools and streamlining management, which is a significant advantage for teams looking to simplify their data workflows.
- Users report that while IBM watsonx.data is strong in performance, it sometimes faces challenges in data visualization capabilities compared to Azure Synapse Analytics, which has received positive feedback for its robust data visualization features that enhance user insights.
Pricing
Entry-Level Pricing
Azure Synapse Analytics
No pricing availableIBM watsonx.data
No pricing availableFree Trial
Azure Synapse Analytics
No trial information availableIBM watsonx.data
Free Trial is available
Ratings
Meets Requirements
8.8
27
8.8
118
Ease of Use
8.8
28
8.2
132
Ease of Setup
8.5
10
7.9
117
Ease of Admin
8.9
9
7.8
51
Quality of Support
8.7
23
8.5
114
Has the product been a good partner in doing business?
8.3
9
8.7
52
Product Direction (% positive)
8.3
28
9.2
119
Features by Category
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
Not enough data
8.3
6
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
7.5
6
Not enough data
8.1
6
Integration
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
8.6
6
Deployment
Not enough data
8.1
6
Not enough data
9.4
6
Performance
Not enough data
8.6
6
Security
Not enough data
9.2
6
Not enough data
9.4
6
Generative AI
Not enough data
8.3
5
Not enough data
8.7
5
Data Management
Not enough data
8.2
46
Not enough data
8.5
49
Not enough data
8.5
46
Data as a Service
Not enough data
8.3
46
Not enough data
8.5
47
Architecture
Not enough data
8.3
47
Not enough data
8.5
48
Database
7.8
6
8.6
28
8.3
6
8.8
28
8.6
6
8.6
29
Integrations
Not enough data
8.3
28
8.9
6
8.5
28
Platform
8.1
6
8.4
27
8.3
6
8.6
28
8.9
6
8.5
28
Processing
8.6
6
8.8
27
8.6
6
8.9
25
Data Transformation
8.9
9
7.2
9
8.6
11
7.5
10
Connectivity
8.8
8
7.2
9
9.5
10
7.4
9
8.9
11
8.0
9
9.4
9
7.4
9
Operations
8.7
9
7.5
10
8.6
11
8.0
10
8.5
8
8.2
10
8.8
8
6.8
10
8.8
10
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
Azure Synapse Analytics and IBM watsonx.data are categorized as Big Data Processing and Distribution and Big Data Analytics
Unique Categories
Azure Synapse Analytics is categorized as Big Data Integration Platforms
IBM watsonx.data is categorized as Data as a Service (DaaS), Data Governance, Data Science and Machine Learning Platforms, Data Warehouse, and ETL Tools
Reviews
Reviewers' Company Size
Azure Synapse Analytics
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
Information Technology and Services
50.0%
Hospital & Health Care
11.8%
Computer Software
11.8%
Retail
5.9%
Computer & Network Security
5.9%
Other
14.7%
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
Azure Synapse Analytics has no discussions with answers
IBM watsonx.data has no discussions with answers
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