Apache Spark for Azure HDInsight
13
Reviews
4.1
Star rating
#5
Rank in Big Data Processing and Distribution
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
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31
Mid-Market
1
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 16.7% |
| Mid-Market | 58.3% |
| Enterprise | 25.0% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2026 Q1 | 1 | 5.0 |
Satisfaction ratings
Ease of Use8.8
Ease of Setup8.9
Quality of Support8.7
Meets Requirements8.7
What reviewers say
Seamless Azure Integration with Effortless Spark Scaling on HDInsight
5.0
“The best part about using Spark on HDInsight is the seamless integration within the Azure ecosystem. It allows for effortless scaling of compute power to handle massive datasets. The managed nature of the service means I don't have to worry about the underlying infrastructure ove”
Real time streaming processing.
5.0
“I like the dynamism nature of it by having ability to support multiple languages.”
Data streaming analysis
3.5
“The most important thing about Apache Spark is that 10X faster than another data analysis platform as Hadoop.”