Compare Apache Ambari and Databricks 
At a Glance
Market Segments
Enterprise (71.4% of reviews)
Enterprise (44.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Ambari
Star Rating
(23)4.1 out of 5
Market Segments
Enterprise (71.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache AmbariDatabricks
Star Rating
(756)4.6 out of 5
Market Segments
Enterprise (44.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with features like Genie, Lakehouse Connect, and streaming tables that streamline processes. Users appreciate how everything is integrated into one platform, reducing the need to switch between multiple tools.
- Users say that Apache Ambari offers a more intuitive interface for monitoring clusters, making it easier for users at all levels to understand and customize their experience. Reviewers highlight its customizable dashboards and the ability to get a high-level view of the cluster, which can be particularly beneficial for new users.
- According to verified reviews, Databricks has a significantly higher overall satisfaction score, indicating that users feel more positively about their experience. The platform's Unity Catalog has been noted as a major advantage, providing centralized governance and fine-grained access control that enhances data management.
- Reviewers mention that while Databricks has a slightly steeper learning curve initially, its long-term benefits in simplifying data workflows make it worthwhile. In contrast, some users of Apache Ambari find it easier to get started, but they may miss out on the advanced features that Databricks offers.
- Users highlight that Databricks provides superior support quality, with many praising the responsiveness and helpfulness of the support team. In comparison, Apache Ambari users have expressed concerns about the quality of support, which can impact their overall experience with the tool.
- G2 reviewers note that Databricks is particularly strong in real-time data collection and processing capabilities, which are essential for modern data-driven businesses. Meanwhile, Apache Ambari, while effective for cluster management, may not match the performance of Databricks in these critical areas.
Pricing
Entry-Level Pricing
Apache Ambari
No pricing availableDatabricks
No pricing availableFree Trial
Apache Ambari
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.1
17
9.0
594
Ease of Use
8.7
17
8.9
609
Ease of Setup
8.0
10
8.7
482
Ease of Admin
8.7
10
8.4
184
Quality of Support
7.1
16
8.7
571
Has the product been a good partner in doing business?
8.7
10
8.9
188
Product Direction (% positive)
7.5
14
9.6
582
Features by Category
Reports
Not enough data
8.6
15
Not enough data
7.9
12
Not enough data
8.6
13
Not enough data
8.2
10
Not enough data
9.1
16
Data Preparation
Not enough data
9.0
7
Not enough data
9.0
8
Data Modeling and Blending
Not enough data
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Generative AI
Not enough data
9.2
10
Not enough data
9.3
7
Agentic AI - Analytics Platforms
Not enough data
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Self Service
Not enough data
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.3
12
Not enough data
8.1
9
Deployment & Integration - Analytics Platforms
Not enough data
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Advanced Analytics
Not enough data
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Performance & Scalability - Analytics Platforms
Not enough data
9.0
8
Not enough data
9.7
5
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Personalized Intelligence - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Building Reports
Not enough data
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
Administration
Not enough data
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Management
Not enough data
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Compliance
Not enough data
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Security
Not enough data
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Data Quality
Not enough data
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Maintainence
Not enough data
8.7
86
Not enough data
8.8
85
Generative AI
Not enough data
8.4
83
Not enough data
8.5
82
Agentic AI - Data Governance
Not enough data
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Management
Not enough data
8.6
173
Not enough data
8.5
165
Functionality
Not enough data
9.1
177
Not enough data
9.2
179
Not enough data
9.1
174
Not enough data
9.0
168
Not enough data
9.1
170
Deployment
Not enough data
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Deployment
Not enough data
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Management
Not enough data
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Operations
Not enough data
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Management
Not enough data
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
181
Model Development
Not enough data
8.7
184
Not enough data
8.0
188
Not enough data
8.3
187
Not enough data
8.7
192
Model Development
Not enough data
8.5
173
Machine/Deep Learning Services
Not enough data
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Machine/Deep Learning Services
Not enough data
8.4
159
Not enough data
8.4
161
Deployment
Not enough data
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Generative AI
Not enough data
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Data Management
Not enough data
9.1
186
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.8
181
|
Verified
Not enough data
8.7
168
|
Verified
Not enough data
9.1
173
|
Verified
Integration
Not enough data
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Deployment
Not enough data
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Performance
Not enough data
9.2
180
|
Verified
Security
Not enough data
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Generative AI
Not enough data
8.5
77
Not enough data
8.4
76
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
Not enough data
Not enough data
Maintenance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
9.0
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Agentic AI - DataOps Platforms
Not enough data
9.2
10
Not enough data
9.0
8
Not enough data
9.0
10
Not enough data
9.1
9
Not enough data
9.4
9
Analytics
Not enough data
8.8
68
Not enough data
8.6
68
Monitoring and Management
Not enough data
8.6
68
Not enough data
8.6
69
Cloud Deployment
Not enough data
9.0
64
Not enough data
9.0
65
Generative AI
Not enough data
9.0
37
Not enough data
8.9
37
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
7.6
9
8.7
239
7.8
10
8.9
247
7.2
10
9.3
266
Integrations
8.6
12
8.3
220
8.0
10
9.1
269
Platform
8.3
8
8.9
262
8.6
7
8.9
255
8.0
10
9.1
269
Processing
8.1
8
9.0
248
7.9
8
9.0
255
Data Transformation
Not enough data
8.9
229
Not enough data
9.1
237
Connectivity
Not enough data
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
232
Operations
Not enough data
8.4
230
Not enough data
8.8
229
Not enough data
8.6
214
Not enough data
8.6
210
Not enough data
9.3
233
Building Reports
Not enough data
9.0
158
Not enough data
8.6
149
Not enough data
7.6
124
Not enough data
8.4
149
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
Categories
Categories
Shared Categories
Apache Ambari and Databricks are categorized as Big Data Processing and Distribution
Unique Categories
Apache Ambari has no unique categories
Reviews
Reviewers' Company Size
Apache Ambari
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
Telecommunications
19.0%
Computer Software
14.3%
Banking
14.3%
Retail
9.5%
Marketing and Advertising
9.5%
Other
33.3%
Information Technology and Services
15.7%
Financial Services
10.3%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
57.8%
Alternatives
Discussions
Apache Ambari has no discussions with answers
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
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