Compare Databricks and Hadoop HDFS 
At a Glance
Market Segments
Enterprise (43.9% of reviews)
Enterprise (55.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(757)4.6 out of 5
Market Segments
Enterprise (43.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksHadoop HDFS
Star Rating
(141)4.4 out of 5
Market Segments
Enterprise (55.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Hadoop HDFSSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in simplifying the data workflow, allowing users to manage data processing, analysis, and machine learning all in one place. This integration is highlighted by features like the notebook environment, which enhances productivity and reduces the need to switch between multiple tools.
- Users say that Hadoop HDFS is a powerful and scalable framework for big data processing, with its distributed nature and MapReduce model enabling effective performance for complex business logic. Reviewers appreciate its ability to handle large volumes of data smoothly, making it a reliable choice for enterprises.
- According to verified reviews, Databricks stands out for its advanced features such as Unity Catalog, which provides centralized governance and fine-grained access control. This has been particularly beneficial for enterprises migrating from traditional architectures, as it enhances data management and security.
- Reviewers mention that while Hadoop HDFS is effective for data distribution, it faces challenges in user experience, particularly in setup and administration. Users have noted that the configuration process can be complex, which may hinder quick implementation compared to Databricks' more intuitive onboarding.
- Users highlight that Databricks offers a higher quality of support, with many praising the responsiveness and helpfulness of the support team. This contrasts with Hadoop HDFS, where some users have expressed a desire for improved support options to address their needs more effectively.
- G2 reviewers indicate that while both platforms serve enterprise needs, Databricks has a more modern approach to data management, with features like Genie and Lakehouse Connect that enhance functionality. This positions Databricks as a more attractive option for organizations looking to leverage cutting-edge technology in their data strategies.
Pricing
Entry-Level Pricing
Databricks
No pricing availableHadoop HDFS
No pricing availableFree Trial
Databricks
Free Trial is available
Hadoop HDFS
No trial information availableRatings
Meets Requirements
8.9
593
8.6
118
Ease of Use
8.9
608
7.5
120
Ease of Setup
8.7
481
6.9
47
Ease of Admin
8.3
183
7.1
44
Quality of Support
8.7
570
7.8
103
Has the product been a good partner in doing business?
8.9
187
7.7
42
Product Direction (% positive)
9.6
581
8.0
113
Features by Category
Reports
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
Not enough data
Data Preparation
9.0
7
Not enough data
9.0
8
Not enough data
Data Modeling and Blending
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
Generative AI
9.2
10
Not enough data
9.3
7
Not enough data
Agentic AI - Analytics Platforms
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
Not enough data
Self Service
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
Not enough data
Deployment & Integration - Analytics Platforms
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Advanced Analytics
8.5
12
Not enough data
8.3
12
Not enough data
9.2
14
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.7
5
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Not enough data
Personalized Intelligence - Analytics Platforms
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Not enough data
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
149
Not enough data
Administration
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Not enough data
Management
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
Not enough data
Compliance
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Not enough data
Security
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Not enough data
Data Quality
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Not enough data
Maintainence
8.7
86
Not enough data
8.8
85
Not enough data
Generative AI
8.4
83
Not enough data
8.5
82
Not enough data
Agentic AI - Data Governance
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
Not enough data
Management
8.6
173
Not enough data
8.5
165
Not enough data
Functionality
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
Not enough data
Deployment
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
Not enough data
Deployment
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
Not enough data
Management
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
181
Not enough data
Model Development
8.7
184
Not enough data
8.0
188
Not enough data
8.3
187
Not enough data
8.7
192
Not enough data
Model Development
8.5
173
Not enough data
Machine/Deep Learning Services
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Not enough data
Machine/Deep Learning Services
8.4
159
Not enough data
8.4
161
Not enough data
Deployment
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Not enough data
Generative AI
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Data Management
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
Not enough data
Integration
8.8
169
|
Verified
Not enough data
8.8
168
|
Verified
Not enough data
9.1
177
|
Verified
Not enough data
Deployment
7.9
157
|
Verified
Not enough data
9.2
179
|
Verified
Not enough data
Performance
9.2
180
|
Verified
Not enough data
Security
8.9
171
|
Verified
Not enough data
8.9
169
|
Verified
Not enough data
Generative AI
8.5
77
Not enough data
8.4
76
Not enough 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
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
9.0
69
Not enough data
8.8
71
Not enough data
8.8
69
Not enough data
9.1
70
Not enough data
Agentic AI - DataOps Platforms
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
Not enough data
Analytics
8.8
68
Not enough data
8.6
68
Not enough data
Monitoring and Management
8.6
68
Not enough data
8.6
69
Not enough data
Cloud Deployment
9.0
64
Not enough data
9.0
65
Not enough data
Generative AI
9.0
37
Not enough data
8.9
37
Not enough data
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
8.7
238
8.6
42
8.9
247
9.1
46
9.3
265
9.0
40
Integrations
8.3
220
9.1
44
9.1
269
8.8
40
Platform
8.9
261
8.3
40
8.9
255
8.4
43
9.1
269
8.8
40
Processing
9.0
248
8.7
36
9.0
254
8.5
41
Data Transformation
8.9
229
Not enough data
9.1
237
Not enough data
Connectivity
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Not enough data
Operations
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
232
Not enough data
Building Reports
9.0
157
Not enough data
8.6
148
Not enough data
7.6
124
Not enough data
8.4
149
Not enough data
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
Databricks and Hadoop HDFS are categorized as Big Data Processing and Distribution
Unique Categories
Hadoop HDFS has no unique categories
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hadoop HDFS
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
15.7%
Financial Services
10.3%
Computer Software
8.7%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
57.7%
Computer Software
24.0%
Information Technology and Services
21.7%
Internet
7.8%
Financial Services
4.7%
Banking
3.9%
Other
38.0%
Alternatives
Discussions
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
What is Hadoop HDFS used for?
1 Comment
VV
Hadoop HDFS is used for storing large volume of data... so called 'Big Data'.
Read more
Hadoop HDFS has no more discussions with answers
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