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Compare Oracle Database and Spark SQL

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At a Glance
Oracle Database
Oracle Database
Star Rating
(988)4.3 out of 5
Market Segments
Enterprise (61.0% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Oracle Database
Spark SQL
Spark SQL
Star Rating
(45)4.5 out of 5
Market Segments
Enterprise (53.3% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Spark SQL
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 complex data structures and relationships to be easily managed, while Spark SQL, with a score of 8.7, is noted for its flexibility but may not handle intricate schemas as effectively.
  • Reviewers mention that Oracle Database's ACID compliance is rated at 8.7, ensuring strong transactional integrity, whereas Spark SQL, with a score of 8.3, is perceived to have less stringent compliance, which can be a concern for users needing robust transaction support.
  • G2 users highlight that Oracle Database offers superior database monitoring capabilities, scoring 8.5, which allows for real-time performance tracking, while Spark SQL's monitoring features are less comprehensive, leading to a score of 8.2.
  • Users on G2 report that Oracle Database's security features, including data masking and encryption, are highly rated at 9.0 and 8.6 respectively, providing a strong sense of data protection, while Spark SQL's security features, although decent, score lower at 8.5 and 8.4, raising concerns for users with sensitive data.
  • Reviewers mention that Oracle Database's query optimizer is rated at 8.7, which significantly enhances query performance, while Spark SQL's optimizer, scoring 8.6, is effective but may not match the efficiency of Oracle's, especially in complex queries.
  • Users say that Oracle Database shines in disaster recovery with a score of 8.5, providing robust backup and recovery options, while Spark SQL, with a score of 8.7, is noted for its performance but lacks some of the advanced recovery features that Oracle offers.
Pricing
Entry-Level Pricing
Oracle Database
No pricing available
Spark SQL
No pricing available
Free Trial
Oracle Database
No trial information available
Spark SQL
No trial information available
Ratings
Meets Requirements
9.0
710
8.8
32
Ease of Use
8.3
716
9.0
35
Ease of Setup
7.6
373
8.7
14
Ease of Admin
7.8
327
8.2
13
Quality of Support
8.3
680
8.4
32
Has the product been a good partner in doing business?
8.1
329
8.6
14
Product Direction (% positive)
8.2
679
10.0
29
Features by Category
8.8
561
8.5
27
Management
9.0
143
8.7
26
8.9
145
8.5
26
8.9
128
8.3
23
8.8
138
8.3
26
Support
8.4
140
8.0
23
8.9
143
8.1
27
8.7
141
8.2
26
8.8
139
8.8
24
Security
8.8
141
8.7
24
8.8
143
8.3
23
8.7
136
8.4
22
8.8
142
8.5
24
Performance
8.6
139
8.7
25
8.8
137
8.5
25
8.5
138
8.6
25
8.8
140
7.9
23
8.8
144
8.6
25
Database Features
9.0
494
8.3
26
9.0
496
8.7
26
8.9
501
8.7
27
8.7
493
8.9
27
9.0
493
8.5
27
8.8
486
8.5
26
8.9
495
8.3
27
Database as a Service (DBaaS)Hide 17 FeaturesShow 17 Features
8.7
95
Not enough data
Configuration
8.7
91
Not enough data
8.3
87
Not enough data
8.6
89
Not enough data
8.4
84
Not enough data
8.9
88
Not enough data
Database Administration
8.5
85
Not enough data
8.8
83
Not enough data
8.9
85
Not enough data
Availability
8.9
87
Not enough data
9.0
89
Not enough data
8.8
83
Not enough data
8.7
84
Not enough data
Security
8.8
86
Not enough data
8.6
83
Not enough data
8.7
80
Not enough data
Data Management
8.9
81
Not enough data
8.7
80
Not enough data
Categories
Categories
Shared Categories
Oracle Database
Oracle Database
Spark SQL
Spark SQL
Oracle Database and Spark SQL are categorized as Relational Databases
Unique Categories
Oracle Database
Oracle Database is categorized as Database as a Service (DBaaS)
Spark SQL
Spark SQL has no unique categories
Reviews
Reviewers' Company Size
Oracle Database
Oracle Database
Small-Business(50 or fewer emp.)
11.9%
Mid-Market(51-1000 emp.)
27.1%
Enterprise(> 1000 emp.)
61.0%
Spark SQL
Spark SQL
Small-Business(50 or fewer emp.)
26.7%
Mid-Market(51-1000 emp.)
20.0%
Enterprise(> 1000 emp.)
53.3%
Reviewers' Industry
Oracle Database
Oracle Database
Information Technology and Services
20.6%
Computer Software
11.5%
Financial Services
5.6%
Banking
5.1%
Hospital & Health Care
4.3%
Other
52.9%
Spark SQL
Spark SQL
Information Technology and Services
31.1%
Computer Software
13.3%
Retail
6.7%
Financial Services
6.7%
Telecommunications
4.4%
Other
37.8%
Alternatives
Oracle Database
Oracle Database Alternatives
Amazon Relational Database Service (RDS)
Amazon Relational Database Service (RDS)
Add Amazon Relational Database Service (RDS)
IBM Db2
IBM Db2
Add IBM Db2
SAP HANA Cloud
SAP HANA Cloud
Add SAP HANA Cloud
Amazon Aurora
Amazon Aurora
Add Amazon Aurora
Spark SQL
Spark SQL Alternatives
PostgreSQL
PostgreSQL
Add PostgreSQL
ClickHouse
ClickHouse
Add ClickHouse
Microsoft SQL Server
MS SQL
Add Microsoft SQL Server
SQLite
SQLite
Add SQLite
Discussions
Oracle Database
Oracle Database Discussions
What is Oracle Database used for?
2 Comments
Abid Hussain A.
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
What is the solution for extracting pdf data stored in DB in clob format
1 Comment
walter g.
WG
try APEXRead more
Why oracles was not up the mark in mobile arena.
1 Comment
walter g.
WG
All Oracle products have mobile versions. For development, try APEX.Read more
Spark SQL
Spark SQL Discussions
What type of SQL does Spark use?
2 Comments
Prashant S.
PS
Spark SqlRead more
What is the difference between SQL and Spark SQL?
1 Comment
Nitish K.
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
Nitish K.
NK
Spark sql works with any kind of relational databases that works with sql like Mysql, oracle, mariadb, postgresqlRead more