Compare Databricks and SnapLogic Intelligent Integration Platform (IIP) 
At a Glance
Market Segments
Enterprise (45.1% of reviews)
Enterprise (48.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(719)4.6 out of 5
Market Segments
Enterprise (45.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSnapLogic Intelligent Integration Platform (IIP)
Star Rating
(398)4.4 out of 5
Market Segments
Enterprise (48.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about SnapLogic Intelligent Integration Platform (IIP)Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that SnapLogic Intelligent Integration Platform excels in its user-friendly interface, making it easy for users to navigate and manage workflows. Users appreciate features like the ability to simplify workflows by disconnecting nodes and utilizing JSON context files, which enhances their overall experience.
- Users say that Databricks stands out for its comprehensive feature set, particularly with tools like Genie and Unity Catalog. Reviewers highlight how Unity Catalog has significantly improved their data governance and lineage tracking, making it a valuable asset for enterprise migrations.
- According to verified reviews, SnapLogic's implementation process is praised for its intuitive onboarding, allowing users to quickly adapt to the platform. The centralized web-based interface is noted for its ease of monitoring and managing data workflows, which users find beneficial for their day-to-day tasks.
- Reviewers mention that Databricks simplifies the entire data workflow by integrating data processing, analysis, and machine learning into one platform. This all-in-one approach reduces the need to switch between multiple tools, which users find enhances productivity and streamlines their operations.
- G2 reviewers highlight that while SnapLogic has a solid user satisfaction score, it faces challenges in meeting specific workflow needs for some users, who report occasional configuration difficulties. This indicates that while the platform is user-friendly, it may not always align perfectly with every organization's requirements.
- Users express that Databricks' focus on scalability and automation is a significant advantage, with features that support large-scale data operations. Reviewers appreciate the platform's ability to handle complex data tasks efficiently, which is crucial for enterprises looking to leverage big data effectively.
Pricing
Entry-Level Pricing
Databricks
No pricing availableSnapLogic Intelligent Integration Platform (IIP)
No pricing availableFree Trial
Databricks
Free Trial is available
SnapLogic Intelligent Integration Platform (IIP)
Free Trial is available
Ratings
Meets Requirements
8.9
567
8.6
334
Ease of Use
8.9
578
8.8
340
Ease of Setup
8.7
450
8.9
223
Ease of Admin
8.3
181
8.6
142
Quality of Support
8.7
542
8.3
327
Has the product been a good partner in doing business?
8.9
185
8.8
142
Product Direction (% positive)
9.6
555
9.0
341
Features by Category
Reports
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.9
14
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.1
9
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.5
11
Not enough data
8.1
12
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.3
11
Not enough data
8.2
11
Not enough data
9.0
12
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.3
7
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
97
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
86
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
Not enough data
Management
8.6
171
8.2
154
8.5
164
8.1
154
Functionality
9.1
172
8.7
160
9.2
174
8.7
160
9.1
172
8.6
162
9.0
167
8.6
162
9.1
167
8.4
164
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
61
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
63
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
8.9
68
Not enough data
Operations
8.7
62
Not enough data
8.8
61
Not enough data
9.0
62
Not enough data
Management
8.8
60
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
180
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
190
Not enough data
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
178
Not enough data
8.7
180
Not enough data
9.0
187
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
180
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
171
|
Verified
Not enough data
Integration
8.8
168
|
Verified
Not enough data
8.8
166
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Deployment
7.9
156
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Performance
9.1
177
|
Verified
Not enough data
Security
8.8
168
|
Verified
Not enough data
8.9
168
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
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
Development
Not enough data
8.3
165
Not enough data
8.2
83
Not enough data
8.6
87
Not enough data
8.8
87
Not enough data
8.0
79
Not enough data
8.9
80
Not enough data
8.4
75
Management
Not enough data
8.3
87
Not enough data
8.5
81
Not enough data
8.8
85
Not enough data
8.9
86
Not enough data
8.4
75
Security
Not enough data
8.3
82
Not enough data
8.6
80
Not enough data
8.6
82
Integration Options
Not enough data
8.4
77
Not enough data
8.5
80
Not enough data
8.1
76
Not enough data
8.0
75
Deployment
Not enough data
8.3
77
Not enough data
8.5
76
Data Management
9.0
68
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
9.1
68
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
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
8.9
11
Not enough data
8.3
9
Not enough data
7.8
9
Functionality - AI Agent Builders
Not enough data
8.1
9
Not enough data
8.3
9
Not enough data
7.8
9
Not enough data
7.8
9
Data and Analytics - AI Agent Builders
Not enough data
8.1
8
Not enough data
8.1
9
Not enough data
8.0
9
Integration - AI Agent Builders
Not enough data
8.3
10
Not enough data
7.3
10
Not enough data
8.5
10
Not enough data
8.5
10
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
API Construction
Not enough data
8.7
74
Not enough data
8.4
73
Not enough data
8.6
73
Not enough data
8.2
72
API Management
Not enough data
8.1
69
Not enough data
7.8
72
Not enough data
8.1
74
Not enough data
7.4
66
Not enough data
8.1
65
Data Integration
Not enough data
8.7
77
Not enough data
9.0
75
Not enough data
8.0
67
Database
8.7
236
Not enough data
8.9
243
Not enough data
9.3
256
Not enough data
Integrations
8.3
220
Not enough data
9.1
256
Not enough data
Platform
9.0
246
Not enough data
8.8
246
Not enough data
9.1
256
Not enough data
Processing
9.0
242
Not enough data
9.0
242
Not enough data
Data Transformation
8.8
226
Not enough data
9.1
232
Not enough data
Connectivity
8.7
206
Not enough data
9.2
230
Not enough data
9.0
220
Not enough data
9.2
230
Not enough data
Operations
8.4
227
Not enough data
8.8
224
Not enough data
8.6
212
Not enough data
8.6
209
Not enough data
9.3
229
Not enough data
Building Reports
9.0
148
Not enough data
8.6
143
Not enough data
7.6
123
Not enough data
8.4
144
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 SnapLogic Intelligent Integration Platform (IIP) are categorized as ETL Tools and AI Agent Builders
Unique Categories
Databricks is categorized as DataOps Platforms, MLOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Analytics Platforms, Data Warehouse, Database Management Systems (DBMS), Generative AI Infrastructure, and AI Gateways
SnapLogic Intelligent Integration Platform (IIP) is categorized as iPaaS, Big Data Integration Platforms, API Management, and On-Premise Data Integration
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SnapLogic Intelligent Integration Platform (IIP)
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
15.4%
Financial Services
10.6%
Computer Software
8.5%
Consulting
3.7%
Hospital & Health Care
3.7%
Other
57.9%
Information Technology and Services
29.1%
Computer Software
14.7%
Pharmaceuticals
4.7%
Financial Services
4.4%
Hospital & Health Care
3.9%
Other
43.2%
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?
4 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
How Do I easily get the blogs on some common faced issues
1 Comment
AR
Hi Komal, you can search our blog at https://www.snaplogic.com/blog or, for more technical questions, you can search our community boards here...Read more
How can a person other than admin see all the executions in dashboard
1 Comment
RM
You will have to grant "Read Only" access on each Project folder to the userRead more
What is SnapLogic Intelligent Integration Platform (IIP) used for?
1 Comment
Official Response from SnapLogic Intelligent Integration Platform (IIP)
SnapLogic is the leader in generative integration. As a pioneer in AI-led integration, the SnapLogic Platform accelerates digital transformation across the...Read more
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