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Compare Google Cloud Dataflow and IBM StreamSets 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Enterprise (42.5% of reviews)
Entry-Level Pricing
No pricing available
Contact Us
Google Cloud Dataflow
Star Rating
(44)4.2 out of 5
Market Segments
Small-Business (33.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataflowIBM StreamSets
Star Rating
(115)4.0 out of 5
Market Segments
Enterprise (42.5% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Free Trial is available
Learn more about IBM StreamSetsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Dataflow excels in data processing capabilities, scoring a remarkable 9.7, while StreamSets lags behind with a score of 8.2. Reviewers mention that Dataflow's ability to handle large-scale data processing seamlessly is a significant advantage for businesses dealing with extensive datasets.
- Reviewers mention that Google Cloud Dataflow offers superior integration options, achieving a score of 9.2 compared to StreamSets' 7.7. Users on G2 highlight that Dataflow's compatibility with various data sources and services makes it a more versatile choice for organizations looking to streamline their data workflows.
- Users say that StreamSets shines in ease of use, with a score of 8.5, while Google Cloud Dataflow scores 7.9. Reviewers mention that StreamSets' user-friendly interface and intuitive design make it easier for teams to adopt and utilize effectively without extensive training.
- G2 users report that Google Cloud Dataflow outperforms StreamSets in real-time processing, scoring 9.5 against StreamSets' 9.0. Reviewers highlight that Dataflow's capabilities in handling real-time data streams are crucial for businesses that require immediate insights and actions.
- Users on G2 mention that StreamSets provides better support for batch management, scoring 8.3 compared to Dataflow's 7.8. Reviewers appreciate StreamSets' robust features for managing batch processes, which are essential for organizations that rely on scheduled data processing.
- Reviewers mention that Google Cloud Dataflow has a higher product direction score of 9.2, indicating a strong positive outlook for future developments, while StreamSets scores 8.2. Users report that this suggests Dataflow is more likely to evolve and adapt to changing market needs, making it a safer long-term investment.
Pricing
Entry-Level Pricing
Google Cloud Dataflow
No pricing availableIBM 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
Free Trial
Google Cloud Dataflow
No trial information availableIBM StreamSets
Free Trial is available
Ratings
Meets Requirements
9.0
24
8.2
94
Ease of Use
8.1
24
8.4
96
Ease of Setup
7.9
7
8.0
48
Ease of Admin
8.0
5
7.8
34
Quality of Support
8.3
21
8.0
95
Has the product been a good partner in doing business?
9.0
5
8.2
32
Product Direction (% positive)
9.0
23
8.2
92
Features by Category
Data
9.8
7
8.2
15
9.6
8
8.0
14
9.3
7
7.7
15
9.6
8
9.0
14
Analytics
8.3
5
7.6
14
Functionality
Not enough data
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
Diverse Extraction Points
Not enough data
7.8
32
Management
Not enough data
7.0
43
Not enough data
7.2
41
Functionality
Not enough data
7.8
42
Not enough data
7.9
42
Not enough data
7.7
42
Not enough data
7.8
43
Not enough data
7.6
43
Data Management
Not enough data
7.2
15
Not enough data
6.2
13
Not enough data
6.5
14
Not enough data
7.3
13
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
Not enough data
7.1
16
Not enough data
6.8
16
Monitoring and Management
Not enough data
6.7
15
Not enough data
6.9
15
Cloud Deployment
Not enough data
7.1
15
Not enough data
6.8
15
Generative AI
Not enough data
6.7
10
Not enough data
7.4
9
Database
8.3
11
Not enough data
8.9
11
Not enough data
8.5
10
Not enough data
Integrations
6.9
7
Not enough data
6.9
8
Not enough data
Platform
8.8
11
Not enough data
8.6
12
Not enough data
6.9
8
Not enough data
Processing
8.9
12
Not enough data
9.2
10
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
Google Cloud Dataflow and IBM StreamSets are categorized as Event Stream Processing
Unique Categories
Google Cloud Dataflow is categorized as Big Data Processing and Distribution
IBM StreamSets is categorized as DataOps Platforms, Data Extraction, Big Data Integration Platforms, Stream Analytics, and ETL Tools
Reviews
Reviewers' Company Size
Google Cloud Dataflow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM StreamSets
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
11.9%
Internet
7.1%
Entertainment
7.1%
Management Consulting
4.8%
Insurance
4.8%
Other
64.3%
Information Technology and Services
23.0%
Computer Software
14.2%
Banking
8.0%
Financial Services
6.2%
Telecommunications
4.4%
Other
44.2%
Alternatives
Discussions
Google Cloud Dataflow has no discussions with answers
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
What is StreamSets tool?
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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