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Compare Databricks Data Intelligence Platform and Informatica Cloud Data Integration 
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At a Glance
Market Segments
Enterprise (46.5% of reviews)
Enterprise (56.6% 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 Cloud Data Integration
Star Rating
(103)4.3 out of 5
Market Segments
Enterprise (56.6% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Informatica Cloud Data IntegrationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the "Workflow Management" feature in Databricks Data Intelligence Platform scores an impressive 9.3, making it a standout for automating data processes, while Informatica Cloud Data Integration has a slightly lower score of 8.3 in this area, indicating that Databricks may offer a more streamlined experience for managing workflows.
- Reviewers mention that Databricks excels in "Data Lake Analytics" with a score of 8.8, which is crucial for organizations leveraging large datasets, whereas Informatica's score of 8.1 in this category suggests it may not provide the same level of capability for data lake management.
- G2 users highlight the "Model Registry" feature in Databricks, which received a high score of 8.9, allowing for better management of machine learning models, while Informatica's lower score of 8.2 indicates it may lack some advanced functionalities in this area.
- Users on G2 report that Databricks' "Data Lineage" feature, scoring 8.8, provides excellent visibility into data flow and transformations, which is essential for compliance and auditing, while Informatica's score of 8.7 shows it also performs well but may not be as robust.
- Reviewers say that Databricks offers superior "Real-Time Integration" capabilities with a score of 8.4, which is critical for businesses needing immediate data updates, compared to Informatica's score of 7.9, suggesting a potential lag in real-time data processing.
- Users report that the "Data Quality Management" feature in Informatica, with a score of 8.5, is highly regarded for ensuring data integrity, while Databricks, with a score of 8.6, also performs well, indicating that both platforms are strong contenders in maintaining data quality.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableInformatica Cloud Data Integration
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Informatica Cloud Data Integration
No trial information availableRatings
Meets Requirements
8.9
512
8.6
76
Ease of Use
8.8
521
8.5
77
Ease of Setup
8.6
394
8.1
49
Ease of Admin
8.3
169
8.2
47
Quality of Support
8.7
487
8.2
76
Has the product been a good partner in doing business?
8.8
172
8.5
48
Product Direction (% positive)
9.6
500
8.5
69
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
8.6
24
8.5
161
8.7
22
Functionality
9.1
168
8.9
30
9.2
169
9.1
30
9.1
170
9.2
30
9.0
162
9.1
29
9.1
164
8.9
28
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
Development
Not enough data
7.9
29
Not enough data
7.5
14
Not enough data
8.3
14
Not enough data
8.1
16
Not enough data
8.1
14
Not enough data
8.9
16
Not enough data
8.8
10
Management
Not enough data
8.2
19
Not enough data
8.4
16
Not enough data
8.5
18
Not enough data
8.7
18
Not enough data
7.8
16
Security
Not enough data
8.5
12
Not enough data
8.3
14
Not enough data
8.3
12
Integration Options
Not enough data
9.2
12
Not enough data
8.9
12
Not enough data
9.0
13
Not enough data
8.7
10
Deployment
Not enough data
9.0
15
Not enough data
8.8
15
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 Cloud Data Integration 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 Cloud Data Integration is categorized as iPaaS
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Informatica Cloud Data Integration
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%
Information Technology and Services
14.1%
Computer Software
14.1%
Insurance
9.1%
Higher Education
6.1%
Retail
5.1%
Other
51.5%
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 Cloud Data Integration has no discussions with answers
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