Spark SQL
46
Reviews
4.6
Star rating
#24
Rank in Relational Databases
Pros and cons
Pros
Cons
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
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70
Enterprise
1
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 26.1% |
| Mid-Market | 19.6% |
| Enterprise | 54.3% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2026 Q3 | 1 | 5.0 |
Satisfaction ratings
Ease of Use9.1
Ease of Setup9.0
Quality of Support8.6
Meets Requirements9.0
What reviewers say
Excellent Performance Across Small and Large Datasets
5.0
“It has very good performance, and it works well with both small and large datasets.”
When the data is huge, sparksql is the answer
5.0
“querying data from both in RDDs and external sources at ease. And able to query historical data with only Spark engine reducing the dependency of different engine.”
Excellent
4.5
“The ability to manipulate the spark data frame using SQL queries.”