Compare Oracle Database and Spark SQL 
At a Glance
Market Segments
Enterprise (61.1% of reviews)
Enterprise (53.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Oracle Database
Star Rating
(955)4.3 out of 5
Market Segments
Enterprise (61.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Oracle DatabaseSpark SQL
Star Rating
(45)4.5 out of 5
Market Segments
Enterprise (53.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Spark SQLSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Oracle Database excels in data schema management with a score of 8.9, which reviewers mention allows for robust structuring of complex data sets, while Spark SQL, with a score of 8.7, is noted for its flexibility but may not match the depth of Oracle's schema capabilities.
- Reviewers mention that Oracle Database's query language is highly rated at 8.9, providing a comprehensive SQL experience, whereas Spark SQL, scoring 8.5, is appreciated for its integration with big data frameworks but can be less intuitive for traditional SQL users.
- G2 users highlight Oracle Database's strong ACID compliance at 8.7, ensuring reliable transactions, while Spark SQL, with a score of 8.3, is noted for its eventual consistency model, which may not be suitable for all enterprise applications.
- Users on G2 report that Oracle Database offers superior database monitoring features, scoring 8.5, which reviewers say provides detailed insights into performance metrics, while Spark SQL's monitoring capabilities are less comprehensive, impacting proactive management.
- Reviewers mention that Oracle Database's security features are robust, with a score of 9.0, particularly in data masking and encryption, which users say are critical for compliance, whereas Spark SQL, scoring 8.5, is seen as having adequate security but lacking some advanced features.
- Users say that Oracle Database shines in disaster recovery with a score of 8.5, providing reliable backup solutions, while Spark SQL, with a score of 8.7, is noted for its resilience but may require additional configuration for optimal recovery processes.
Pricing
Entry-Level Pricing
Oracle Database
No pricing availableSpark SQL
No pricing availableFree Trial
Oracle Database
No trial information availableSpark SQL
No trial information availableRatings
Meets Requirements
9.0
679
8.8
32
Ease of Use
8.3
683
9.0
35
Ease of Setup
7.5
338
8.7
14
Ease of Admin
7.8
317
8.2
13
Quality of Support
8.3
652
8.4
32
Has the product been a good partner in doing business?
8.1
318
8.6
14
Product Direction (% positive)
8.2
648
10.0
29
Features by Category
Management
8.9
122
8.7
26
8.9
122
8.5
26
8.7
106
8.3
23
8.7
116
8.3
26
Support
8.4
118
8.0
23
8.8
120
8.1
27
8.6
119
8.2
26
8.7
116
8.8
24
Security
8.7
118
8.7
24
8.6
120
8.3
23
8.6
115
8.4
22
8.7
120
8.5
24
Performance
8.5
115
8.7
25
8.7
115
8.5
25
8.4
116
8.6
25
8.7
117
7.9
23
8.7
121
8.6
25
Database Features
8.9
471
8.3
26
9.0
474
8.7
26
8.8
478
8.7
27
8.7
470
8.9
27
9.0
470
8.5
27
8.7
463
8.5
26
8.9
472
8.3
27
Configuration
8.7
83
Not enough data
8.2
79
Not enough data
8.6
81
Not enough data
8.4
76
Not enough data
8.8
80
Not enough data
Database Administration
8.4
77
Not enough data
8.7
75
Not enough data
8.8
77
Not enough data
Availability
8.9
79
Not enough data
8.9
81
Not enough data
8.7
75
Not enough data
8.6
76
Not enough data
Security
8.7
78
Not enough data
8.5
75
Not enough data
8.7
72
Not enough data
Data Management
8.8
73
Not enough data
8.6
72
Not enough data
Categories
Categories
Shared Categories
Oracle Database and Spark SQL are categorized as Relational Databases
Unique Categories
Oracle Database is categorized as Database as a Service (DBaaS)
Spark SQL has no unique categories
Reviews
Reviewers' Company Size
Oracle Database
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Spark SQL
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
21.2%
Computer Software
11.6%
Financial Services
5.5%
Banking
4.8%
Hospital & Health Care
4.5%
Other
52.4%
Information Technology and Services
31.1%
Computer Software
13.3%
Retail
6.7%
Financial Services
6.7%
Telecommunications
4.4%
Other
37.8%
Most Helpful Reviews
Oracle Database
Most Helpful Favorable Review
Tapan J.
Verified User in Marketing and Advertising
Oracle latest versions are memory efficient with advance compression on the fly built in so that a huge investment in terms of disk space is saved.Oracle allows data to be controlled from a central repository. A DBA is responsible to create users, assign...
Most Helpful Critical Review
Matthew S.
Verified User in Computer Software
The standard command line tool is terrible. The cost is very high making it a feasible option for enterprise and full scale applications only.
Spark SQL
Most Helpful Favorable Review
Nitish K.
Verified User in E-Learning
It allows all types of SQL commands like mysql,mssql,posgresql and many with faster processing
Most Helpful Critical Review
Verified User in Management Consulting
Not any particular dislike some time I faced difficulty in performance and run time of cell if we run any complex query that has lot join and other condition to reduce this I use cte and make the query in chunks.
Tapan J.
Verified User in Marketing and Advertising
Oracle latest versions are memory efficient with advance compression on the fly built in so that a huge investment in terms of disk space is saved.Oracle allows data to be controlled from a central repository. A DBA is responsible to create users, assign...
Nitish K.
Verified User in E-Learning
It allows all types of SQL commands like mysql,mssql,posgresql and many with faster processing
Matthew S.
Verified User in Computer Software
The standard command line tool is terrible. The cost is very high making it a feasible option for enterprise and full scale applications only.
Verified User in Management Consulting
Not any particular dislike some time I faced difficulty in performance and run time of cell if we run any complex query that has lot join and other condition to reduce this I use cte and make the query in chunks.
Alternatives
Discussions
What is Oracle Database used for?
2 comments
AA
Oracle Database is a relational database management system (RDBMS) that is widely used in the industry for managing and storing large volumes of data. It...Read more
Why oracles was not up the mark in mobile arena.
1 comment
WG
All Oracle products have mobile versions.
For development, try APEX.Read more
What type of SQL does Spark use?
2 comments
PS
The text "Spark SQL" refers to a component of Apache Spark, which is a unified analytics engine for large-scale data processing. Spark SQL is used for...Read more
What is the difference between SQL and Spark SQL?
1 comment
NK
Well it's very simple spark sql is used for big data processing, it makes querying the loads of data simple and faster.
Whereas sql isn't suitable for...Read more
What is the functionality of Spark SQL?
1 comment
NK
Spark sql works with any kind of relational databases that works with sql like Mysql, oracle, mariadb, postgresqlRead more
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