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Compare Amazon Relational Database Service (RDS) and Spark SQL 
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At a Glance
Market Segments
Mid-Market (37.7% of reviews)
Enterprise (53.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Relational Database Service (RDS)
Star Rating
(896)4.5 out of 5
Market Segments
Mid-Market (37.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon Relational Database Service (RDS)Spark 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 Amazon RDS excels in scalability with a score of 9.1, allowing businesses to easily adjust their database resources as needed. In contrast, Spark SQL, while also scalable, received a slightly lower score of 8.9, indicating that RDS may be a better choice for rapidly growing applications.
- Reviewers mention that Amazon RDS offers superior backup capabilities, scoring 9.1, which is crucial for data recovery. Spark SQL, however, matches this score of 8.7, but users have noted that RDS provides more automated backup options, making it easier to manage.
- G2 users highlight that the query optimizer in Spark SQL is rated higher at 8.6 compared to Amazon RDS's 8.4. Reviewers say that Spark SQL's optimizer is more efficient for complex queries, which can lead to better performance in data analytics tasks.
- Users on G2 report that Amazon RDS has a more user-friendly ease of use rating of 8.8, while Spark SQL scored 9.0. However, reviewers mention that RDS's interface is more intuitive for those unfamiliar with database management, making it a better option for teams with less technical expertise.
- Reviewers mention that Amazon RDS has a strong focus on security, scoring 9.1, particularly in areas like encryption and access control. Spark SQL, with a score of 8.5, is still secure but lacks some of the advanced security features that RDS offers, which can be a deciding factor for businesses handling sensitive data.
- Users say that the data replication feature in Amazon RDS is rated at 8.8, providing robust options for maintaining data consistency across multiple instances. Spark SQL, with a score of 8.3, does offer replication but is often seen as less comprehensive, which could impact users needing high availability.
Pricing
Entry-Level Pricing
Amazon Relational Database Service (RDS)
No pricing availableSpark SQL
No pricing availableFree Trial
Amazon Relational Database Service (RDS)
Free Trial is available
Spark SQL
No trial information availableRatings
Meets Requirements
9.0
734
8.8
32
Ease of Use
8.8
741
9.0
35
Ease of Setup
8.9
517
8.7
14
Ease of Admin
8.7
433
8.2
13
Quality of Support
8.6
706
8.4
32
Has the product been a good partner in doing business?
8.8
421
8.6
14
Product Direction (% positive)
9.5
695
10.0
29
Features by Category
Management
8.8
303
8.7
26
8.9
307
8.5
26
8.8
293
8.3
23
8.9
302
8.3
26
Support
8.3
298
8.0
23
8.7
309
8.1
27
8.6
303
8.2
26
8.8
307
8.8
24
Security
8.6
296
8.7
24
8.7
312
8.3
23
8.8
306
8.4
22
8.8
309
8.5
24
Performance
8.7
303
8.7
25
8.6
297
8.5
25
8.7
305
8.6
25
8.5
291
7.9
23
8.4
295
8.6
25
Database Features
9.0
434
8.3
26
9.2
433
8.7
26
9.0
430
8.7
27
9.2
420
8.9
27
9.1
428
8.5
27
8.5
399
8.5
26
8.7
416
8.3
27
Configuration
8.8
243
Not enough data
8.4
238
Not enough data
8.6
245
Not enough data
8.0
222
Not enough data
8.8
236
Not enough data
Database Administration
8.8
236
Not enough data
8.6
228
Not enough data
Feature Not Available
Not enough data
Availability
9.1
240
Not enough data
9.1
244
Not enough data
Feature Not Available
Not enough data
8.7
230
Not enough data
Security
8.3
169
Not enough data
8.6
177
Not enough data
8.4
168
Not enough data
Data Management
8.8
182
Not enough data
8.6
173
Not enough data
Categories
Categories
Shared Categories
Amazon Relational Database Service (RDS) and Spark SQL are categorized as Relational Databases
Unique Categories
Amazon Relational Database Service (RDS) is categorized as Database as a Service (DBaaS)
Spark SQL has no unique categories
Reviews
Reviewers' Company Size
Amazon Relational Database Service (RDS)
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
22.5%
Computer Software
17.0%
Financial Services
6.1%
Computer & Network Security
3.8%
Telecommunications
3.3%
Other
47.3%
Information Technology and Services
31.1%
Computer Software
13.3%
Retail
6.7%
Financial Services
6.7%
Telecommunications
4.4%
Other
37.8%
Discussions
An Amazon RDS performance best practice is to allocate enough RAM so that your working set resides almost completely in memory.
1 Comment
SS
niceRead more
What is Amazon Relational Database Service (RDS) used for?
1 Comment
AJ
Amazon Relational Database Service (RDS) is a cloud-based service offered by Amazon Web Services (AWS) that is used for managing and operating relational...Read more
Amazon Relational Database Service (RDS) has no more discussions with answers
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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