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Compare IBM StreamSets and Snowflake 
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At a Glance
Market Segments
Enterprise (42.9% of reviews)
Enterprise (44.7% of reviews)
Entry-Level Pricing
Contact Us
$2 Compute/Hour
IBM StreamSets
Star Rating
(114)4.0 out of 5
Market Segments
Enterprise (42.9% of reviews)
Entry-Level Pricing
Contact Us
Free Trial is available
Learn more about IBM StreamSetsSnowflake
Star Rating
(657)4.6 out of 5
Market Segments
Enterprise (44.7% of reviews)
Entry-Level Pricing
$2 Compute/Hour
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Snowflake excels in real-time processing with a score of 9.0, allowing for immediate data insights, while StreamSets, with a score of 8.7, is noted for its data ingestion and wrangling capabilities, making it a strong choice for batch processing.
- Reviewers mention that Snowflake's data security features, including data encryption and user access control, are highly rated at 9.2 and 9.1 respectively, providing peace of mind for enterprise users. In contrast, StreamSets has a solid security framework but scores slightly lower in data governance at 8.7.
- G2 users highlight Snowflake's superior query language capabilities, scoring 9.3, which allows for complex data queries with ease. StreamSets, while functional, scores lower at 8.0, indicating that users may find Snowflake's querying more intuitive and powerful.
- Reviewers mention that Snowflake's performance analysis features are robust, scoring 8.9, which helps users optimize their data workflows effectively. StreamSets, however, has been noted for its data workflow management, scoring 8.8, which is beneficial for users focusing on data pipeline efficiency.
- Users on G2 report that Snowflake's cloud deployment capabilities are exceptional, with a score of 9.2, making it a preferred choice for organizations looking for scalable cloud solutions. StreamSets, while offering cloud support, scores lower at 7.1, indicating potential limitations in hybrid cloud environments.
- Reviewers mention that Snowflake's data modeling features are highly rated at 9.0, allowing for flexible and efficient data structuring. In comparison, StreamSets scores 8.1, suggesting that while it offers data modeling, it may not be as comprehensive or user-friendly as Snowflake's offerings.
Pricing
Entry-Level Pricing
IBM StreamSets
We offer custom StreamSets pricing that best fits your business. Please contact us for further details.
Contact Us
To try StreamSets for 30 days, start a free trial by visiting
- https://ibm.biz/IBM_StreamSets_Trial
Snowflake
Standard
$2
Compute/Hour
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
- Complete SQL Data Warehouse
- Secure Data Sharing across regions / clouds
- Premier Support 24 x 365
Free Trial
IBM StreamSets
Free Trial is available
Snowflake
Free Trial is available
Ratings
Meets Requirements
8.2
93
9.1
497
Ease of Use
8.4
95
9.0
533
Ease of Setup
7.9
47
8.9
318
Ease of Admin
7.8
34
8.6
202
Quality of Support
8.0
94
8.7
454
Has the product been a good partner in doing business?
8.2
32
9.0
203
Product Direction (% positive)
8.2
91
9.2
467
Features by Category
Data
8.2
15
Not enough data
8.0
14
Not enough data
7.7
15
Not enough data
9.0
14
Not enough data
Analytics
7.6
14
Not enough data
Functionality
7.8
32
Not enough data
7.7
32
Not enough data
7.8
31
Not enough data
7.9
31
Not enough data
7.7
31
Not enough data
7.7
31
Not enough data
Diverse Extraction Points
7.8
32
Not enough data
Management
6.9
42
Not enough data
7.2
40
Not enough data
Functionality
7.7
41
Not enough data
7.9
41
Not enough data
7.6
41
Not enough data
7.7
42
Not enough data
7.5
42
Not enough data
Deployment
Not enough data
9.2
12
Not enough data
8.9
12
Not enough data
9.0
12
Not enough data
9.3
12
Not enough data
9.3
12
Deployment
Not enough data
9.3
10
Not enough data
9.5
10
Not enough data
9.5
10
Not enough data
9.5
10
Not enough data
9.3
10
Management
Not enough data
9.2
12
Not enough data
9.0
12
Not enough data
9.2
12
Not enough data
9.0
12
Operations
Not enough data
8.8
10
Not enough data
8.8
10
Not enough data
9.5
10
Management
Not enough data
9.2
10
Not enough data
9.3
9
Not enough data
9.0
10
Generative AI
Not enough data
8.7
10
Not enough data
8.3
10
System
Not enough data
9.2
28
Model Development
Not enough data
9.1
27
Not enough data
8.5
27
Not enough data
8.3
27
Not enough data
8.7
27
Model Development
Not enough data
8.7
27
Machine/Deep Learning Services
Not enough data
8.6
27
Not enough data
8.6
27
Not enough data
8.4
27
Not enough data
8.4
26
Machine/Deep Learning Services
Not enough data
8.5
27
Not enough data
8.5
24
Deployment
Not enough data
9.1
28
Not enough data
9.0
27
Not enough data
9.3
27
Generative AI
Not enough data
8.4
25
Not enough data
8.3
25
Not enough data
8.5
25
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.2
13
Not enough data
8.2
13
Not enough data
8.3
13
Not enough data
8.5
13
Not enough data
8.2
13
Not enough data
8.3
13
Not enough data
8.2
12
Data Management
Not enough data
9.0
179
|
Verified
Not enough data
8.9
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
8.3
167
|
Verified
Not enough data
8.2
149
|
Verified
Not enough data
8.8
152
|
Verified
Integration
Not enough data
8.3
139
|
Verified
Not enough data
8.9
167
|
Verified
Not enough data
8.9
158
|
Verified
Deployment
Not enough data
7.8
139
|
Verified
Not enough data
9.3
171
|
Verified
Performance
Not enough data
9.3
174
|
Verified
Security
Not enough data
8.9
164
|
Verified
Not enough data
9.1
175
|
Verified
Generative AI
Not enough data
8.0
79
Not enough data
8.1
80
Management
Not enough data
8.9
83
Not enough data
9.2
83
Not enough data
9.5
88
Not enough data
9.0
86
Not enough data
9.1
87
Maintenance
Not enough data
9.3
85
Not enough data
9.0
84
Not enough data
9.3
85
Security
Not enough data
9.2
85
Not enough data
9.2
87
Storage
Not enough data
9.2
44
Not enough data
9.2
44
Availability
Not enough data
9.1
39
Not enough data
9.2
37
Not enough data
9.2
41
Performance
Not enough data
9.2
44
Security
Not enough data
9.1
44
Not enough data
9.2
45
Not enough data
8.9
38
Not enough data
9.2
38
Support
Not enough data
9.2
36
Not enough data
9.1
35
Data Management
7.2
15
Not enough data
6.2
13
Not enough data
6.5
14
Not enough data
7.3
13
Not enough data
Agentic AI - DataOps 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
Analytics
7.1
16
Not enough data
6.8
16
Not enough data
Monitoring and Management
6.7
15
Not enough data
6.9
15
Not enough data
Cloud Deployment
7.1
15
Not enough data
6.8
15
Not enough data
Generative AI
6.7
10
Not enough data
7.4
9
Not enough data
Centralized computation
Not enough data
9.3
25
Localized computation
Not enough data
9.0
24
Database
Not enough data
8.9
97
Not enough data
9.3
100
Not enough data
9.3
94
Integrations
Not enough data
8.6
76
Not enough data
8.7
81
Platform
Not enough data
9.1
91
Not enough data
9.0
97
Not enough data
8.7
81
Processing
Not enough data
9.3
95
Not enough data
9.1
94
Data Transformation
Not enough data
9.2
86
Not enough data
9.4
86
Connectivity
Not enough data
8.5
78
Not enough data
8.7
79
Not enough data
9.1
80
Not enough data
9.1
81
Operations
Not enough data
8.6
83
Not enough data
9.2
79
Not enough data
8.9
75
Not enough data
8.8
80
Not enough data
8.7
77
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
IBM StreamSets and Snowflake are categorized as Big Data Integration Platforms
Unique Categories
IBM StreamSets is categorized as DataOps Platforms, Data Extraction, Event Stream Processing, Stream Analytics, and ETL Tools
Reviews
Reviewers' Company Size
IBM StreamSets
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Snowflake
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
22.3%
Computer Software
14.3%
Banking
8.0%
Financial Services
6.3%
Telecommunications
4.5%
Other
44.6%
Information Technology and Services
13.7%
Computer Software
13.0%
Financial Services
10.5%
Marketing and Advertising
4.8%
Hospital & Health Care
3.8%
Other
54.3%
Alternatives
Discussions
here
1 Comment
HR
Hello Srigiri,
So sorry for the late reply here. Let us know if there is any way we can help!
Best,
Hannah Recker
Sr. Product Marketing...Read more
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1 Comment
HR
StreamSets is a data integration platform, delivered as a SaaS. The platform lets you build, run, monitor and manage data pipelines at scale for modern...Read more
IBM StreamSets has no more discussions with answers
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I've used both; Snowflake is superior in my view. Redshift certainly offers a lot of power being an AWS product, however Snowflake is more fully-featured....Read more
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