Link copied to clipboard # PostgreSQL vs Spark SQL Comparison - What are their main differences? Share [ Export ](/compare/postgresql/spark-sql/export.csv) PostgreSQLSpark SQL[+ Add Product](#) Reviews **PostgreSQL** [ 4.4/5(682) ](https://www.g2.com/products/postgresql/reviews#reviews) **Spark SQL** [ 4.6/5(46) ](https://www.g2.com/products/spark-sql/reviews#reviews) Pricing **PostgreSQL** No pricing available **Spark SQL** No pricing available **Pricing Insights** from reviews Time to Implement **PostgreSQL** 2 months Based on 73 responses **Spark SQL** Not enough reviews yet Return on Investment **PostgreSQL** 8 months Based on 47 responses **Spark SQL** Not enough reviews yet Perceived Cost **PostgreSQL** $$$$$ **Spark SQL** $$$$$ Average Discount **PostgreSQL** 11% **Spark SQL** Not enough reviews yet Pros & Cons **PostgreSQL** [ Features (16) ](https://www.g2.com/products/postgresql/reviews?filters%5Bsentiment_snippet%5D=1373123&qs=pros-and-cons#reviews)[ Ease of Use (13) ](https://www.g2.com/products/postgresql/reviews?filters%5Bsentiment_snippet%5D=1373593&qs=pros-and-cons#reviews)[ Beginner Unfriendliness (7) ](https://www.g2.com/products/postgresql/reviews?filters%5Bsentiment_snippet%5D=1374094&qs=pros-and-cons#reviews)[ Complexity (6) ](https://www.g2.com/products/postgresql/reviews?filters%5Bsentiment_snippet%5D=1373765&qs=pros-and-cons#reviews) **Spark SQL** Not enough data Integrations **PostgreSQL** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_4c82924bf37fb0c0c2cf8d7f5cc68986/angular-dev-angular.jpg "Product Avatar Image") Angular ](https://www.g2.com/products/angular-dev-angular/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d99c715051d74e27de9fd48624b6561e/apache-tomcat.png "Product Avatar Image") Tomcat ](https://www.g2.com/products/apache-tomcat/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_bde6cd3bdabd1f16c41327bd71f4dee5/cpanel.png "Product Avatar Image") cPanel ](https://www.g2.com/products/cpanel/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image") Databricks ](https://www.g2.com/products/databricks/reviews)[ View all ](https://www.g2.com/products/postgresql/integrations) **Spark SQL** [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_13aba37ae908d9cf29a2452925257ccc/azure-databricks.jpeg "Product Avatar Image") Azure Databricks ](https://www.g2.com/products/azure-databricks/reviews)[ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a6c205d533dba77b318af96d91beb2ac/databricks.jpeg "Product Avatar Image") Databricks ](https://www.g2.com/products/databricks/reviews)[ View all ](https://www.g2.com/products/spark-sql/integrations) Screenshots **PostgreSQL** ![PostgreSQL screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/20331/uploads_2Fab7b5997-a58a-4539-8306-c978c4e82158_2FPostgreSQL-9-0-3_3.png) **Spark SQL** No screenshot available Ratings Meets Requirements **PostgreSQL** 9.1 9.1558 **Spark SQL** 8.8 8.833 Ease of Use **PostgreSQL** 8.5 8.5564 **Spark SQL** 9.0 9.036 Ease of Setup **PostgreSQL** 8.4 8.4293 **Spark SQL** 8.8 8.815 Ease of Admin **PostgreSQL** 8.2 8.2251 **Spark SQL** 8.2 8.213 Quality of Support **PostgreSQL** 7.9 7.9451 **Spark SQL** 8.4 8.432 Has the product been a good partner in doing business? **PostgreSQL** 8.5 8.5199 **Spark SQL** 8.6 8.614 Product Direction (% positive) **PostgreSQL** 8.5 8.5543 **Spark SQL** 10.0 10.030 Features Relational Databases[Hide 24 FeaturesShow 24 Features](javascript:void(0);) 8.9 521 8.5 28 Management Data Schema 9.1(won by 0.4) 129 8.7 27 Query Language 9.2(won by 0.7) 125 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.5 27 ACID - Complaint 9.2(won by 0.9) 115 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.3 23 Data Replication 8.9(won by 0.6) 115 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.3 26 Support Text Search 8.7(won by 0.7) 117 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.0 23 Data Types 9.1(won by 0.9) 134 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.2 28 Languages 9.1(won by 0.9) 114 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.2 26 Operating Systems 9.1(won by 0.3) 119 8.8 24 Security Database Locking 8.7(tied score) 120 8.7(tied score) 24 Access Control 9.0(won by 0.6) 122 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.4 24 Encryption 8.7(won by 0.3) 113 8.4 22 Authentication 8.9(won by 0.4) 115 8.5 24 Performance Disaster Recovery 8.6 110 8.7(won by 0.1) 26 Data Concurrency 8.8(won by 0.3) 120 8.5 26 Workload Management 8.7(won by 0.1) 112 8.6 25 Advanced Indexing 8.7(won by 0.8) 121 (There is a greater than 0.5 difference between this product's rating and its competitors) 7.9 23 Query Optimizer 8.6 117 8.7(won by 0.1) 26 Database Features Storage 9.0(won by 0.6) 467 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.4 27 Availability 9.0(won by 0.3) 473 8.7 27 Stability 9.0(won by 0.2) 481 8.8 28 Scalability 8.6 464 8.9(won by 0.3) 28 Security 8.7(won by 0.2) 447 8.5 27 Data Manipulation 8.8(won by 0.2) 463 8.6 27 Query Language 9.0(won by 0.6) 471 (There is a greater than 0.5 difference between this product's rating and its competitors) 8.4 28 User Insights Reviewers' Company Size [![PostgreSQL](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_251be2af3ae607c45c14e816eaa1cf41/postgresql.png "PostgreSQL")](https://www.g2.com/products/postgresql/reviews) PostgreSQL Small-Business(50 or fewer emp.) 36.0% Mid-Market(51-1000 emp.) 34.3% Enterprise(\> 1000 emp.) 29.7% [![Spark SQL](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_9e6249d49a182e97a34b477a3611f47a/spark-sql.png "Spark SQL")](https://www.g2.com/products/spark-sql/reviews) Spark SQL Small-Business(50 or fewer emp.) 26.1% Mid-Market(51-1000 emp.) 19.6% Enterprise(\> 1000 emp.) 54.3% Small-Business (50 or fewer emp.) 36.0% 26.1% Mid-Market (51-1000 emp.) 34.3% 19.6% Enterprise (\> 1000 emp.) 29.7% 54.3% Reviewers' Industry [![PostgreSQL](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_251be2af3ae607c45c14e816eaa1cf41/postgresql.png "PostgreSQL")](https://www.g2.com/products/postgresql/reviews) PostgreSQL Information Technology and Services 27.4% Computer Software 22.9% Financial Services 4.2% Internet 4.2% Telecommunications 2.8% Other 38.6% [![Spark SQL](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_9e6249d49a182e97a34b477a3611f47a/spark-sql.png "Spark SQL")](https://www.g2.com/products/spark-sql/reviews) Spark SQL Information Technology and Services 30.4% Computer Software 13.0% Retail 6.5% Financial Services 6.5% Telecommunications 4.3% Other 39.1% FAQs ## PostgreSQL vs Spark SQL FAQs Generated using AI Last updated: August 15, 2026 ### What is the difference between PostgreSQL vs Spark SQL? Spark SQL stands out for distributed big data analytics, while PostgreSQL is favored for reliability and advanced relational features. | [PostgreSQL](https://www.g2.com/products/postgresql/reviews) | [Spark SQL](https://www.g2.com/products/spark-sql/reviews) | | --- | --- | | 4.4/5 (684 reviews) | 4.6/5 (47 reviews) | | Small-Business | Enterprise | | 8.4 | 8.8 | | 7.9 | 8.4 | | Reliability (10 all-time mentions) | Performance (recent reviews) | ### How do the pricing models of PostgreSQL and Spark SQL compare? PostgreSQL is considered the stronger value due to its open-source model and high satisfaction with cost, while Spark SQL is noted as resource-intensive and potentially more costly for large-scale deployments. - **PostgreSQL:** Reviewers consistently highlight the absence of licensing fees and strong ROI, with many citing open-source flexibility and reduced operational expenses. - **Spark SQL:** Recent reviews note that Spark SQL can be resource-intensive and that the premier version is more costly compared to other databases, especially for large-scale or enterprise use. ### What are the best alternatives to PostgreSQL and Spark SQL? The top three alternatives to PostgreSQL and Spark SQL are Oracle Database, MS SQL, and MySQL. | Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength | | --- | --- | --- | --- | --- | | [PostgreSQL](https://www.g2.com/products/postgresql/reviews) | 4.4/5 (684) | Small-Business | Open-source, no licensing fees | Reliability (10 all-time mentions) | | [Spark SQL](https://www.g2.com/products/spark-sql/reviews) | 4.6/5 (47) | Enterprise | Resource-intensive, higher cost for large scale | Performance (recent reviews) | | [Oracle Database](https://www.g2.com/products/oracle-database/reviews) | 4.3/5 (1021) | Enterprise | — | Enterprise-grade reliability (recent reviews) | | [MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews) | 4.4/5 (2287) | Enterprise | — | Integration with Microsoft ecosystem (recent reviews) | | [MySQL](https://www.g2.com/products/mysql/reviews) | 4.4/5 (1682) | Small-Business | — | Speed for simple read-heavy workloads (recent reviews) | ### Which Relational Databases features should I prioritize when comparing PostgreSQL and Spark SQL? Buyers should prioritize reliability, performance, scalability, integration capabilities, and ease of setup when comparing PostgreSQL and Spark SQL. - **Reliability:** PostgreSQL is cited for reliability in 10 all-time mentions; Spark SQL is praised for performance in recent reviews. - **Performance:** PostgreSQL receives 6 all-time mentions for performance; Spark SQL is frequently highlighted for high-speed processing of large datasets in recent reviews. - **Scalability:** PostgreSQL has 10 all-time mentions for scalability; Spark SQL is noted for distributed processing and handling petabyte-scale data in recent reviews. - **Integration Capabilities:** PostgreSQL has 6 all-time mentions for easy integrations, with specific tools like Python (27 all-time mentions); Spark SQL is recognized for integration with the Spark ecosystem and data sources in recent reviews. - **Ease of Setup:** PostgreSQL scores 8.4; Spark SQL scores 8.8 on Ease of Setup. ### What are the pros and cons of PostgreSQL vs Spark SQL? PostgreSQL’s headline strength is reliability and advanced relational features, while Spark SQL excels in distributed big data analytics and performance. - **PostgreSQL strengths:** Features (16 all-time mentions), reliability (10), scalability (10), open source (10), flexibility (8), data analytics (6), easy integrations (6), performance (6), query speed (5), data security (4). - **PostgreSQL trade-offs:** Beginner unfriendliness (7), complexity (6), learning curve (5), slow performance for large/complex queries (5), complex configuration (4), high hardware requirements (4). - **Spark SQL strengths:** Performance and high-speed processing of large datasets are frequently cited in recent reviews; praised for distributed analytics and integration with the Spark ecosystem. - **Spark SQL trade-offs:** Resource-intensive for complex queries, higher cost for large-scale deployments, and some reviewers note a learning curve and challenges with debugging and advanced SQL compatibility. ### Is PostgreSQL or Spark SQL better for small businesses? PostgreSQL is the better fit for small businesses, as it is most popular in the Small-Business segment and praised for cost-effectiveness and flexibility. - **PostgreSQL:** Largest segment is Small-Business; reviewers highlight its open-source model, ease of integration, and suitability for projects of all sizes. - **Spark SQL:** Largest segment is Enterprise; reviewers note its strengths in large-scale analytics, but setup and resource requirements are more aligned with enterprise needs. ### Which Relational Databases platform has better integrations? PostgreSQL is favored for integrations, with more reviewer-cited integrations and higher all-time mention counts. - **PostgreSQL:** Python (27 all-time mentions), Tableau, Ruby on Rails; 6 all-time mentions for easy integrations. - **Spark SQL:** Reviewers highlight integration with the Spark ecosystem and data sources in recent reviews, but no all-time mention counts are available for specific third-party tools. ### How do PostgreSQL and Spark SQL compare on customer support? Spark SQL has a higher Quality of Support score (8.4 vs. 7.9), but the difference is below the 0.2-point materiality threshold, indicating near parity. - **PostgreSQL:** Reviewers mention strong community support and abundant documentation, with some noting limited official vendor support unless using a managed provider. - **Spark SQL:** Reviewers cite responsive support and helpful documentation, with several noting positive experiences with support for analytics and integration issues. ### Which is easier to implement, PostgreSQL or Spark SQL? Spark SQL has a slightly higher Ease of Setup score (8.8 vs. 8.4), but the difference is below the 0.2-point materiality threshold, indicating near parity. - **PostgreSQL:** Reviewers describe setup as straightforward for experienced users, with a learning curve for advanced configuration and tuning. - **Spark SQL:** Reviewers note that setup is generally easy, especially within the Spark ecosystem, but can require more resources and initial configuration for distributed environments. 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