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Compare Databricks Data Intelligence Platform and Informatica Data Engineering 
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At a Glance
Market Segments
Enterprise (46.5% of reviews)
Enterprise (57.7% 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 PlatformInformatica Data Engineering
Star Rating
(27)4.4 out of 5
Market Segments
Enterprise (57.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Informatica Data EngineeringSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in Spark Integration with a score of 9.1, allowing for seamless processing of large datasets, while Informatica Data Engineering has a slightly lower score of 9.0, indicating it may not be as robust in handling Spark workloads.
- Reviewers mention that Databricks offers superior Data Lake Analytics capabilities, scoring 8.8, which enhances real-time data processing and analytics, whereas Informatica scores 9.1 in Data Lake functionality, suggesting it may have a more comprehensive approach to data storage.
- G2 users highlight that Informatica shines in Automated Workflows with a score of 8.9, making it easier for teams to manage data pipelines, while Databricks has a lower score of 8.8 in Automation, indicating a potential gap in workflow efficiency.
- Users on G2 report that Databricks provides a more user-friendly experience with a score of 8.7 in Ease of Use, compared to Informatica's score of 8.9, suggesting that while both platforms are user-friendly, Informatica may have a slight edge in usability.
- Reviewers mention that Informatica has a strong focus on Data Quality Management with a score of 8.5, which is crucial for maintaining data integrity, while Databricks scores 8.6 in Data Quality, indicating both platforms prioritize data quality but Informatica may offer more comprehensive tools.
- Users say that Databricks excels in Model Development with a score of 8.7 for Model Training, which is essential for machine learning projects, while Informatica scores 8.6, suggesting that Databricks may provide a more robust environment for developing and training models.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableInformatica Data Engineering
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Informatica Data Engineering
No trial information availableRatings
Meets Requirements
8.9
512
8.9
6
Ease of Use
8.8
521
8.9
6
Ease of Setup
8.6
394
Not enough data
Ease of Admin
8.3
169
Not enough data
Quality of Support
8.7
487
8.6
6
Has the product been a good partner in doing business?
8.8
172
Not enough data
Product Direction (% positive)
9.6
500
Not enough data
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
Not enough data
8.9
224
Not enough data
9.3
225
Not enough data
Integrations
8.3
207
Not enough data
9.2
227
Not enough data
Platform
9.0
220
Not enough data
8.8
223
Not enough data
9.2
227
Not enough data
Processing
9.0
219
Not enough data
9.0
218
Not enough data
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 Informatica Data Engineering are categorized as ETL Tools
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Informatica Data Engineering is categorized as On-Premise Data Integration
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Informatica Data Engineering
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
15.4%
Information Technology and Services
11.5%
Insurance
7.7%
Health, Wellness and Fitness
7.7%
Financial Services
7.7%
Other
50.0%
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
Informatica Data Engineering has no discussions with answers
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