Compare Apache Beam and Databricks 
At a Glance
Market Segments
Mid-Market (42.9% of reviews)
Enterprise (44.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Beam
Star Rating
(16)4.1 out of 5
Market Segments
Mid-Market (42.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache BeamDatabricks
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 users highlighting features like Genie, Lakehouse Connect, and streaming tables that streamline data processing, analysis, and machine learning all in one platform.
- Users say that Apache Beam offers a unique advantage with its ability to handle both batch and stream processing seamlessly. Reviewers appreciate the unified approach, allowing them to switch between different input/output systems effortlessly, which enhances flexibility in data pipeline design.
- According to verified reviews, Databricks stands out for its high-quality support, with users noting the effectiveness of its customer service and resources. This is contrasted by Apache Beam, where users have expressed some challenges in support quality, indicating room for improvement in this area.
- Reviewers mention that Databricks simplifies the setup and administration processes, making it easier for teams to get started and manage their data environments. In comparison, Apache Beam's setup can be more complex, which may pose challenges for new users.
- G2 reviewers highlight that Databricks has a strong focus on enterprise needs, with features like Unity Catalog providing centralized governance and fine-grained access control, which are crucial for larger organizations. Meanwhile, Apache Beam is often favored by mid-market users, indicating a different target audience and use case focus.
- Users report that Databricks consistently meets their requirements with high satisfaction ratings, particularly in areas like data lake integration and Spark compatibility. In contrast, while Apache Beam is praised for its abstraction capabilities, some users feel it may not fully meet the specific needs of larger enterprises.
Pricing
Entry-Level Pricing
Apache Beam
No pricing availableDatabricks
No pricing availableFree Trial
Apache Beam
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.6
12
9.0
594
Ease of Use
7.8
12
8.9
609
Ease of Setup
Not enough data
8.7
482
Ease of Admin
Not enough data
8.4
184
Quality of Support
7.6
11
8.7
571
Has the product been a good partner in doing business?
Not enough data
8.9
188
Product Direction (% positive)
8.1
12
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
7.7
10
8.7
239
8.0
10
8.9
247
7.1
7
9.3
266
Integrations
6.0
5
8.3
220
7.3
5
9.1
269
Platform
8.3
6
8.9
262
8.1
7
8.9
255
7.3
5
9.1
269
Processing
8.2
10
9.0
248
8.1
7
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 Beam and Databricks are categorized as Big Data Processing and Distribution
Unique Categories
Apache Beam has no unique categories
Reviews
Reviewers' Company Size
Apache Beam
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
Retail
14.3%
Logistics and Supply Chain
14.3%
Information Technology and Services
14.3%
Computer Software
14.3%
Telecommunications
7.1%
Other
35.7%
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 Beam 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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