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- Google Cloud Dataflow-vs-Spark Streaming
Compare Google Cloud Dataflow and Spark Streaming 
At a Glance
Market Segments
Mid-Market (36.7% of reviews)
Mid-Market (40.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Google Cloud Dataflow
Star Rating
(51)4.3 out of 5
Market Segments
Mid-Market (36.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataflowSpark Streaming
Star Rating
(40)4.2 out of 5
Market Segments
Mid-Market (40.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Spark StreamingSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud Dataflow excels in data processing with a score of 9.7, highlighting its ability to handle large-scale data efficiently, while Spark Streaming, with a score of 9.2, is noted for its robust real-time processing capabilities but may not match the same level of efficiency in handling massive datasets.
- Reviewers mention that Google Cloud Dataflow offers superior integration with various data sources, scoring 9.5, which allows for seamless data ingestion from multiple platforms. In contrast, Spark Streaming, with a score of 9.0, is praised for its integration with Apache Spark but has fewer options for diverse data sources.
- G2 users indicate that the quality of support for Spark Streaming is slightly higher, with a score of 8.7 compared to Google Cloud Dataflow's 8.3. Users appreciate the responsiveness and helpfulness of Spark's support team, which can be crucial for troubleshooting during critical operations.
- Users on G2 report that Google Cloud Dataflow shines in real-time processing, scoring 9.5, which is essential for applications requiring immediate data insights. Spark Streaming, while strong in this area with a score of 9.0, may not provide the same level of performance under heavy loads.
- Reviewers say that Google Cloud Dataflow's ease of use is rated at 7.9, which some users find slightly less intuitive compared to Spark Streaming's score of 8.2. Users mention that Spark's interface is more user-friendly, making it easier for new users to get started.
- Users report that Google Cloud Dataflow's machine scaling capabilities are rated at 8.8, allowing for dynamic resource allocation based on workload demands. In comparison, Spark Streaming's scaling features, while effective, are rated lower at 8.0, indicating potential limitations in handling sudden spikes in data volume.
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Pricing
Entry-Level Pricing
Google Cloud Dataflow
No pricing availableSpark Streaming
No pricing availableFree Trial
Google Cloud Dataflow
No trial information availableSpark Streaming
No trial information availableRatings
Meets Requirements
9.1
31
9.0
29
Ease of Use
8.0
31
8.2
29
Ease of Setup
7.9
11
7.6
9
Ease of Admin
8.3
8
8.0
9
Quality of Support
8.3
28
8.7
26
Has the product been a good partner in doing business?
8.8
8
8.5
9
Product Direction (% positive)
9.2
30
9.3
32
Features by Category
Data
9.8
7
9.2
28
9.6
8
9.0
27
9.3
7
8.8
27
9.6
8
9.0
28
Analytics
8.3
5
8.8
28
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 Spark Streaming are categorized as Event Stream Processing
Unique Categories
Google Cloud Dataflow is categorized as Big Data Processing and Distribution
Spark Streaming has no unique categories
Reviews
Reviewers' Company Size
Google Cloud Dataflow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Spark Streaming
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
14.3%
Internet
6.1%
Information Technology and Services
6.1%
Hospital & Health Care
6.1%
Entertainment
6.1%
Other
61.2%
Information Technology and Services
21.6%
Computer Software
18.9%
Telecommunications
8.1%
Financial Services
8.1%
Education Management
8.1%
Other
35.1%
Most Helpful Reviews
Google Cloud Dataflow
Most Helpful Favorable Review
Verified User in Animation
There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images, and videos to their clients and to their audiences without...
Most Helpful Critical Review
Verified User in Computer Hardware
Nothing yet i found that i dislike about this platform.
Spark Streaming
Most Helpful Favorable Review
Verified User in Education Management
APIs of Spark is very powerful for data pre processing. SQL interface is very user friendly Faster compared to any other big data tool
Most Helpful Critical Review
Verified User in Education Management
I like everything I’ve seen with spark so far. Can be complicated to get started using
Verified User in Animation
There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images, and videos to their clients and to their audiences without...
Verified User in Education Management
APIs of Spark is very powerful for data pre processing. SQL interface is very user friendly Faster compared to any other big data tool
Verified User in Computer Hardware
Nothing yet i found that i dislike about this platform.
Verified User in Education Management
I like everything I’ve seen with spark so far. Can be complicated to get started using
Alternatives
Discussions
Google Cloud Dataflow has no discussions with answers
Spark Streaming has no discussions with answers
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