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At a Glance
Market Segments
Mid-Market (51.1% of reviews)
Small-Business (53.8% of reviews)
Entry-Level Pricing
No pricing available
$0.15 1 Cube Compute Unit
Apache Superset
Star Rating
(48)4.4 out of 5
Market Segments
Mid-Market (51.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Apache SupersetCube
Star Rating
(26)4.7 out of 5
Market Segments
Small-Business (53.8% of reviews)
Pros & Cons
Entry-Level Pricing
$0.15 1 Cube Compute Unit
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Apache Superset excels in its Data Visualization capabilities, with a score of 8.8, allowing for a wide range of customizable graphs and charts. In contrast, Cube, while still strong, has a slightly lower score of 8.5 in this area, indicating that Superset may offer more robust options for visual representation.
- Reviewers mention that Cube shines in Quality of Support, achieving a high score of 9.6 compared to Superset's 7.8. This suggests that users may find Cube's customer service more responsive and helpful, which can be crucial for businesses needing timely assistance.
- G2 users highlight that Cube's Integration APIs are particularly strong, scoring 9.4, which facilitates easier connections with other software tools. In comparison, Superset's score of 8.1 indicates that users may face more challenges when integrating with other applications.
- Reviewers mention that Apache Superset has a superior Dashboards feature, scoring 9.3, which allows users to create visually appealing and informative dashboards. Cube, with a score of 9.1, still offers good dashboard capabilities but may not be as flexible or user-friendly as Superset's.
- Users on G2 report that Cube's Data Blending capabilities are exceptional, with a score of 9.6, allowing for seamless integration of data from various sources. Superset, with a score of 8.4, may not provide the same level of ease in blending data, which could be a limitation for users needing comprehensive data analysis.
- Users say that both products perform well in Ease of Use, with Superset scoring 8.9 and Cube at 8.8. However, the slight edge for Superset suggests that new users might find it a bit more intuitive to navigate, which can be a significant factor for teams looking to onboard quickly.
Pricing
Entry-Level Pricing
Apache Superset
No pricing availableCube
Starter
$0.15
1 Cube Compute Unit
Great for getting started and trying Cube. Everything in Cube Core, plus:
- Fully-hosted AWS/GCP
- Development toolset
- Semantic Layer Sync with one BI: Preset or Metabase
Free Trial
Apache Superset
No trial information availableCube
Free Trial is available
Ratings
Meets Requirements
8.9
31
8.8
23
Ease of Use
8.9
31
8.8
25
Ease of Setup
8.3
17
8.5
14
Ease of Admin
8.4
16
9.0
13
Quality of Support
7.9
28
9.6
23
Has the product been a good partner in doing business?
9.0
15
9.7
10
Product Direction (% positive)
9.6
29
10.0
25
Features by Category
Reports
8.8
25
9.0
12
8.4
21
Feature Not Available
9.1
25
9.0
14
8.8
22
Feature Not Available
9.3
26
9.0
13
Self Service
9.0
24
8.9
19
9.0
24
9.6
17
9.0
23
7.7
11
8.9
24
8.0
9
8.6
25
8.3
10
8.0
23
7.1
12
Advanced Analytics
8.3
21
6.5
8
8.9
27
8.4
15
8.6
24
9.2
11
Building Reports
8.7
22
7.6
7
8.9
19
9.0
10
8.9
19
Feature Not Available
8.2
19
9.4
11
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reports
8.8
25
9.0
12
8.4
21
Feature Not Available
9.1
25
9.0
14
8.8
22
Feature Not Available
9.3
26
9.0
13
Data Preparation
9.0
20
9.0
13
8.5
19
7.2
10
Data Modeling and Blending
8.5
24
9.3
17
8.8
24
9.4
16
8.5
21
9.5
10
Generative AI
Not enough data
Not enough data
Not enough data
Feature Not Available
Agentic AI - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Self Service
9.0
24
8.9
19
9.0
24
9.6
17
9.0
23
7.7
11
8.9
24
8.0
9
8.6
25
8.3
10
8.0
23
7.1
12
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
8.3
21
6.5
8
8.9
27
8.4
15
8.6
24
9.2
11
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.7
22
7.6
7
8.9
19
9.0
10
8.9
19
Feature Not Available
8.2
19
9.4
11
Reports
8.8
25
9.0
12
8.4
21
Feature Not Available
9.1
25
9.0
14
8.8
22
Feature Not Available
9.3
26
9.0
13
Self Service
9.0
24
8.9
19
9.0
24
9.6
17
9.0
23
7.7
11
8.9
24
8.0
9
8.6
25
8.3
10
8.0
23
7.1
12
Building Reports
8.7
22
7.6
7
8.9
19
9.0
10
8.9
19
Feature Not Available
8.2
19
9.4
11
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Apache Superset and Cube are categorized as Analytics Platforms
Unique Categories
Apache Superset has no unique categories
Cube is categorized as Embedded Business Intelligence and Semantic Layer Tools
Reviews
Reviewers' Company Size
Apache Superset
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Cube
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
Financial Services
15.6%
Information Technology and Services
11.1%
Computer Software
11.1%
Marketing and Advertising
6.7%
Logistics and Supply Chain
6.7%
Other
48.9%
Computer Software
23.1%
Information Technology and Services
11.5%
Marketing and Advertising
7.7%
Management Consulting
7.7%
Hospital & Health Care
7.7%
Other
42.3%
Discussions
Is Apache superset good?
2 Comments
BT
yes its very good , easy to use Read more
What can you do with Apache superset?
1 Comment
NV
Apache Superset is an easy-to-use Business Intelligence tool that collects and processes data in large volumes to produce visualised results like charts and...Read more
What is Superset software?
1 Comment
PG
It is an excellent open-source platform designed for the generation of graphs and analytical processes, which allows you to easily carry out ETL...Read more
Cube has no discussions with answers
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