Introducing G2.ai, the future of software buying.Try now
Compare Google Cloud Dataflow and Spark Streaming 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Kpow for Apache Kafka®
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
ILUM
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Starburst
Visit Website
At a Glance
Market Segments
Small-Business (33.3% of reviews)
Mid-Market (40.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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 DataflowSpark Streaming
Star Rating
(40)4.2 out of 5
Market Segments
Mid-Market (40.5% of reviews)
Pros & Cons
Not enough data
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 solid performance but may not match the same level of scalability.
- Reviewers mention that Google Cloud Dataflow offers superior integration capabilities, scoring 9.2, which allows seamless connections with various data sources. In contrast, Spark Streaming, with a score of 8.8, is perceived as having fewer integration options, which can limit flexibility for some users.
- G2 users indicate that the real-time processing capabilities of Google Cloud Dataflow are impressive, scoring 9.5, making it a preferred choice for applications requiring immediate data insights. Spark Streaming, while still strong at 9.0, may not provide the same level of immediacy in certain scenarios.
- Users on G2 report that the quality of support for Spark Streaming is rated higher at 8.7 compared to Google Cloud Dataflow's 8.3, suggesting that users may find more responsive assistance when using Spark Streaming.
- Reviewers say that Google Cloud Dataflow's ease of use is rated at 7.9, which some users find slightly less intuitive than Spark Streaming's 8.2, indicating that new users might have a smoother onboarding experience with Spark Streaming.
- Users report that Google Cloud Dataflow shines in data transformation capabilities with a score of 8.9, while Spark Streaming's data modeling is rated lower at 8.4, suggesting that Dataflow may offer more robust tools for transforming data into actionable insights.
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
9.0
24
9.0
29
Ease of Use
8.1
24
8.2
29
Ease of Setup
7.9
7
7.6
9
Ease of Admin
8.0
5
8.0
9
Quality of Support
8.3
21
8.7
26
Has the product been a good partner in doing business?
9.0
5
8.5
9
Product Direction (% positive)
9.0
23
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
11.9%
Internet
7.1%
Entertainment
7.1%
Management Consulting
4.8%
Insurance
4.8%
Other
64.3%
Information Technology and Services
21.6%
Computer Software
18.9%
Telecommunications
8.1%
Financial Services
8.1%
Education Management
8.1%
Other
35.1%
Alternatives
Discussions
Google Cloud Dataflow has no discussions with answers
Spark Streaming has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
