Compare Amazon Relational Database Service (RDS) and Spark SQL 
Featured Products
At a Glance
Market Segments
Mid-Market (37.6% of reviews)
Enterprise (53.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon Relational Database Service (RDS)
Star Rating
(900)4.5 out of 5
Market Segments
Mid-Market (37.6% of reviews)
Pros & Cons
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)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Spark SQLAmazon Relational Database Service (RDS) vs Spark SQL
When assessing the two solutions, reviewers found Spark SQL easier to use. However, Amazon Relational Database Service (RDS) is easier to set up and administer. Reviewers also preferred doing business with Amazon Relational Database Service (RDS) overall.
- Reviewers felt that Amazon Relational Database Service (RDS) meets the needs of their business better than Spark SQL.
- When comparing quality of ongoing product support, reviewers felt that Amazon Relational Database Service (RDS) is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Spark SQL over Amazon Relational Database Service (RDS).
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
738
8.8
32
Ease of Use
8.8
746
9.0
35
Ease of Setup
8.9
522
8.7
14
Ease of Admin
8.7
435
8.2
13
Quality of Support
8.6
710
8.4
32
Has the product been a good partner in doing business?
8.8
423
8.6
14
Product Direction (% positive)
9.5
700
10.0
29
Features by Category
Management
8.8
304
8.7
26
8.9
308
8.5
26
8.8
293
8.3
23
8.9
303
8.3
26
Support
8.3
299
8.0
23
8.7
310
8.1
27
8.6
304
8.2
26
8.8
308
8.8
24
Security
8.6
297
8.7
24
8.7
313
8.3
23
8.8
307
8.4
22
8.8
310
8.5
24
Performance
8.8
304
8.7
25
8.6
298
8.5
25
8.7
306
8.6
25
8.5
292
7.9
23
8.5
296
8.6
25
Database Features
9.0
436
8.3
26
9.2
436
8.7
26
9.0
432
8.7
27
9.2
422
8.9
27
9.1
430
8.5
27
8.5
401
8.5
26
8.7
418
8.3
27
Configuration
8.8
245
Not enough data
8.4
240
Not enough data
8.6
248
Not enough data
8.0
225
Not enough data
8.9
239
Not enough data
Database Administration
8.8
240
Not enough data
8.6
230
Not enough data
Feature Not Available
Not enough data
Availability
9.1
245
Not enough data
9.1
249
Not enough data
Feature Not Available
Not enough data
8.7
231
Not enough data
Security
8.3
170
Not enough data
8.6
179
Not enough data
8.4
169
Not enough data
Data Management
8.8
185
Not enough data
8.6
174
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
22.8%
Computer Software
17.0%
Financial Services
6.1%
Computer & Network Security
3.7%
Telecommunications
3.3%
Other
47.1%
Information Technology and Services
31.1%
Computer Software
13.3%
Retail
6.7%
Financial Services
6.7%
Telecommunications
4.4%
Other
37.8%
Discussions
What is Amazon Relational Database Service (RDS) used for?
2 Comments
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
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
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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