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Compare InterSystems Caché and Spark SQL 
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At a Glance
Market Segments
Small-Business (53.8% of reviews)
Enterprise (53.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
InterSystems Caché
Star Rating
(33)4.3 out of 5
Market Segments
Small-Business (53.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about InterSystems CachéSpark 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 InterSystems Caché excels in data management with a robust data model and support for various data types, achieving a score of 9.0 in storage, while Spark SQL, although strong, scores slightly lower at 8.3.
- Reviewers mention that Spark SQL shines in ease of use, with a score of 9.0, making it more accessible for new users compared to InterSystems Caché, which has a score of 7.4 in this area.
- G2 users highlight that InterSystems Caché offers superior disaster recovery features, scoring 8.7, which is crucial for businesses that prioritize data integrity, while Spark SQL's disaster recovery capabilities are rated lower at 8.5.
- Users on G2 note that Spark SQL has a more efficient query optimization process, scoring 8.3, which enhances performance for complex queries, whereas InterSystems Caché scores 8.1 in this aspect.
- Reviewers say that both products have strong security features, but InterSystems Caché's database locking and access control features score 8.7 and 8.3 respectively, providing a slight edge over Spark SQL's security ratings of 8.5 and 8.3.
- Users report that InterSystems Caché's performance in scalability is impressive, with a score of 9.0, making it suitable for growing businesses, while Spark SQL, although competitive, scores 8.9 in scalability.
Pricing
Entry-Level Pricing
InterSystems Caché
No pricing availableSpark SQL
No pricing availableFree Trial
InterSystems Caché
Free Trial is available
Spark SQL
No trial information availableRatings
Meets Requirements
8.8
24
8.8
32
Ease of Use
7.4
24
9.0
35
Ease of Setup
7.9
14
8.7
14
Ease of Admin
7.9
14
8.2
13
Quality of Support
8.5
24
8.4
32
Has the product been a good partner in doing business?
8.5
14
8.6
14
Product Direction (% positive)
7.9
22
10.0
29
Features by Category
Management
Not enough data
8.7
26
Not enough data
8.5
26
Not enough data
8.3
23
Not enough data
8.3
26
Support
Not enough data
8.0
23
Not enough data
8.1
27
Not enough data
8.2
26
Not enough data
8.8
24
Security
Not enough data
8.7
24
Not enough data
8.3
23
Not enough data
8.4
22
Not enough data
8.5
24
Performance
Not enough data
8.7
25
Not enough data
8.5
25
Not enough data
8.6
25
Not enough data
7.9
23
Not enough data
8.6
25
Database Features
9.0
15
8.3
26
9.1
15
8.7
26
8.6
14
8.7
27
9.0
13
8.9
27
8.3
15
8.5
27
8.7
14
8.5
26
8.1
15
8.3
27
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Feature Not Available
Not enough data
Not enough data
Not enough data
Support
Feature Not Available
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
9.0
15
8.3
26
9.1
15
8.7
26
8.6
14
8.7
27
9.0
13
8.9
27
8.3
15
8.5
27
8.7
14
8.5
26
8.1
15
8.3
27
Categories
Categories
Shared Categories
InterSystems Caché and Spark SQL are categorized as Relational Databases
Unique Categories
InterSystems Caché is categorized as Object-Oriented Databases, Document Databases, and Key Value Databases
Spark SQL has no unique categories
Reviews
Reviewers' Company Size
InterSystems Caché
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
26.9%
Hospital & Health Care
23.1%
Computer Software
19.2%
Health, Wellness and Fitness
7.7%
Wholesale
3.8%
Other
19.2%
Information Technology and Services
31.1%
Computer Software
13.3%
Retail
6.7%
Financial Services
6.7%
Telecommunications
4.4%
Other
37.8%
Discussions
Caché database on-line replication
1 Comment
DM
One technology that may help you with it named Mirroring. You can have as many copies of your data as you need, in different datacenters. Link to...Read more
InterSystems Caché 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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