Spark SQL Ratings (September 2025)
This page breaks down Spark SQL ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Spark SQL’s overall reputation. This data-driven overview will show you exactly how Spark SQL is rated - including how it compares to competitors.
Spark SQL's Overall Rating Summary
- Average Rating:4.4/5
- Total Reviews:297 reviews
- Sources:G2, Trustradius, Capterra, Gartner
- Last updated:September 1, 2025
Spark SQL Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.5/5 | 45+ reviews | 05.08.25 |
 Trustradius | 4.5/5 | 163+ reviews | 05.08.25 |
 Capterra | 4.6/5 | 16+ reviews | 05.08.25 |
 Gartner | 4/5 | 73+ reviews | 05.08.25 |
What is Spark SQL?
Spark SQL is Apache Spark's module for working with structured data, allowing seamless integration of SQL queries with Spark programs using a familiar DataFrame API in Java, Scala, Python, and R. It provides uniform data access to various data sources like Hive, Avro, Parquet, ORC, JSON, and JDBC, and supports HiveQL syntax, SerDes, and UDFs for existing Hive warehouses. Spark SQL also offers standard JDBC and ODBC connectivity, a cost-based optimizer, columnar storage, and code generation for performance and scalability, and is developed and updated as part of Apache Spark.
🤔 Spark SQL vs Competitors: How Do Ratings Compare?
Check out Spark SQL AlternativesFrequently Asked Questions
How trustworthy is Spark SQL?
According to Trustradius and Gartner review sites Spark SQL holds ratings of 4.5/5 and 4/5 respectively from 236 reviews, indicating that users consistently find value and reliability in the platform as of September 2025.
How many stars is Spark SQL rated?
Spark SQL has an average star rating of 4.4 out of 5 stars based on average of 297 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Spark SQL public reviews pages on platforms: G2, Trustradius, Capterra, Gartner. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Spark SQL is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.