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Compare Databricks Data Intelligence Platform and Hadoop HDFS 
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At a Glance
Market Segments
Enterprise (46.5% of reviews)
Enterprise (55.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(626)4.6 out of 5
Market Segments
Enterprise (46.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformHadoop HDFS
Star Rating
(141)4.4 out of 5
Market Segments
Enterprise (55.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Hadoop HDFSSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Hadoop HDFS excels in Data Ingestion & Wrangling with a score of 8.8, making it a strong choice for handling large datasets efficiently. In contrast, Databricks Data Intelligence Platform, while also capable, scores slightly lower at 8.5, indicating that Hadoop may have a slight edge in this area.
- Reviewers mention that Databricks shines in Ease of Use with a score of 8.7 compared to Hadoop HDFS's 7.5. Users appreciate the intuitive interface and streamlined workflows in Databricks, which enhances productivity and reduces the learning curve.
- G2 users highlight the superior Model Development capabilities of Databricks, particularly in Model Training (8.6) and Pre-Built Algorithms (8.2). In contrast, Hadoop HDFS lacks dedicated features for model development, making Databricks a more suitable option for data scientists and machine learning practitioners.
- Reviewers mention that Hadoop HDFS has a robust Data Lineage feature with a score of 8.8, which is crucial for tracking data transformations and ensuring compliance. Databricks, while strong in many areas, scores slightly lower at 8.4, indicating that Hadoop may be preferred for organizations prioritizing data governance.
- Users on G2 report that Databricks offers superior Collaboration tools with a score of 8.7, allowing teams to work together seamlessly on data projects. Hadoop HDFS, while functional, does not provide the same level of collaborative features, which can hinder teamwork in data-driven environments.
- Reviewers mention that Databricks excels in Cloud Deployment with a score of 8.9, making it a preferred choice for organizations looking to leverage cloud capabilities. Hadoop HDFS, with a score of 7.5 for On-Premise deployment, may not be as flexible for cloud-based operations, which is increasingly important in today's data landscape.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableHadoop HDFS
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Hadoop HDFS
No trial information availableRatings
Meets Requirements
8.9
512
8.6
118
Ease of Use
8.8
521
7.5
120
Ease of Setup
8.6
394
6.9
47
Ease of Admin
8.3
169
7.1
44
Quality of Support
8.7
487
7.8
103
Has the product been a good partner in doing business?
8.8
172
7.7
42
Product Direction (% positive)
9.6
500
8.0
113
Features by Category
Reports
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
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
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
Not enough data
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
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
Not enough data
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
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Not enough data
Administration
8.8
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Not enough data
Management
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Not enough data
Compliance
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Not enough data
Security
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Not enough data
Data Quality
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Not enough data
Maintainence
8.8
81
Not enough data
8.8
80
Not enough data
Generative AI
8.4
79
Not enough data
8.5
78
Not enough data
Agentic AI - Data Governance
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
Management
8.6
167
Not enough data
8.5
161
Not enough data
Functionality
9.1
168
Not enough data
9.2
169
Not enough data
9.1
170
Not enough data
9.0
162
Not enough data
9.1
164
Not enough data
Deployment
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Not enough data
Management
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Not enough data
Management
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
Not enough data
Generative AI
8.3
27
Not enough data
8.3
27
Not enough data
System
8.8
175
Not enough data
Model Development
8.8
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Not enough data
Machine/Deep Learning Services
8.4
156
Not enough data
8.4
158
Not enough data
Deployment
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
Not enough data
Generative AI
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
Data Management
9.0
177
|
Verified
Not enough data
8.9
177
|
Verified
Not enough data
8.8
172
|
Verified
Not enough data
8.7
175
|
Verified
Not enough data
8.7
165
|
Verified
Not enough data
9.0
167
|
Verified
Not enough data
Integration
8.8
163
|
Verified
Not enough data
8.8
163
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Deployment
7.9
152
|
Verified
Not enough data
9.1
173
|
Verified
Not enough data
Performance
9.1
173
|
Verified
Not enough data
Security
8.8
164
|
Verified
Not enough data
8.9
165
|
Verified
Not enough data
Generative AI
8.5
75
Not enough data
8.4
74
Not enough data
Data Management
9.0
66
Not enough data
8.7
65
Not enough data
8.8
66
Not enough data
9.1
63
Not enough data
Agentic AI - DataOps Platforms
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Analytics
8.8
64
Not enough data
8.4
63
Not enough data
Monitoring and Management
8.5
64
Not enough data
8.5
64
Not enough data
Cloud Deployment
9.1
60
Not enough data
9.0
61
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Database
8.7
218
8.6
42
8.9
224
9.1
46
9.3
225
9.0
40
Integrations
8.3
207
9.1
44
9.2
227
8.8
40
Platform
9.0
220
8.3
40
8.8
223
8.4
43
9.2
227
8.8
40
Processing
9.0
219
8.7
36
9.0
218
8.5
41
Data Transformation
8.8
219
Not enough data
9.0
226
Not enough data
Connectivity
8.7
202
Not enough data
9.2
225
Not enough data
9.0
217
Not enough data
9.2
225
Not enough data
Operations
8.4
223
Not enough data
8.8
218
Not enough data
8.6
207
Not enough data
8.6
205
Not enough data
9.3
220
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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 Data Intelligence Platform and Hadoop HDFS are categorized as Big Data Processing and Distribution
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Hadoop HDFS has no unique categories
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
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
14.7%
Financial Services
11.4%
Computer Software
8.2%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
58.1%
Computer Software
24.0%
Information Technology and Services
21.7%
Internet
7.8%
Financial Services
4.7%
Higher Education
3.9%
Other
38.0%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
3 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...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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