
Spark
54
Reviews
4.3
Star rating
#6
Rank in Java Web Frameworks
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
—
57
Enterprise
1
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 27.8% |
| Mid-Market | 31.5% |
| Enterprise | 40.7% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2025 Q1 | 1 | 5.0 |
| 2025 Q3 | 1 | 4.5 |
Satisfaction ratings
Ease of Use8.8
Ease of Setup8.6
Quality of Support7.9
Meets Requirements8.6
What reviewers say
Apache Spark: Fast, Capable, But Needs Care to Run Well
4.5
“Spark is great for working with really large amounts of data. It can handle both batch jobs and streaming data, and it works with different file types and data sources. It’s much faster than older systems because it can process data in memory. I also like that it has built-in ”
Easy to learn
5.0
“It’s fast when compared to Hadoop as it is a in memory processing engine”
Experience of using spark
4.0
“The speed of spark The integration feature of spark with custom softwares, with other tools. The ease of use and user adaptability.”