Compare Databricks and Integrate.io 
At a Glance
Market Segments
Enterprise (44.8% of reviews)
Mid-Market (50.7% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(724)4.6 out of 5
Market Segments
Enterprise (44.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksIntegrate.io
Star Rating
(209)4.3 out of 5
Market Segments
Mid-Market (50.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Integrate.ioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Databricks excels in providing a comprehensive data workflow solution, with features like Genie, Lakehouse Connect, and streaming tables that streamline data processing, analysis, and machine learning all in one platform. This integration is particularly praised for simplifying user experience.
- Users say that Integrate.io stands out for its user-friendly interface, which is especially beneficial for non-technical users. The drag-and-drop functionality and a wide array of connectors make it easy to create data pipelines without needing extensive engineering resources, making it a great choice for lean teams.
- According to verified reviews, Databricks has a significantly higher overall satisfaction score, reflecting its strong market presence and user approval. Reviewers appreciate the centralized governance and lineage tracking provided by Unity Catalog, which enhances data management for enterprises.
- Reviewers mention that while Integrate.io offers excellent support and communication, Databricks users have noted a more extensive feature set that can cater to complex enterprise needs, although some users feel that the learning curve can be steeper due to its advanced capabilities.
- Users highlight that Databricks' scalability is a major advantage, with many praising its ability to handle large datasets efficiently. In contrast, while Integrate.io is reliable for smaller operations, some users feel it may not scale as effectively for larger enterprises.
- G2 reviewers indicate that both platforms have their strengths in automation, but Databricks users report a more robust set of automation features that enhance data workflows, whereas Integrate.io is noted for its reliability and minimal maintenance needs, making it a solid choice for consistent data flows.
Pricing
Entry-Level Pricing
Databricks
No pricing availableIntegrate.io
No pricing availableFree Trial
Databricks
Free Trial is available
Integrate.io
Free Trial is available
Ratings
Meets Requirements
8.9
574
8.4
183
Ease of Use
8.9
585
8.4
184
Ease of Setup
8.7
457
8.7
105
Ease of Admin
8.3
183
8.7
96
Quality of Support
8.7
549
9.3
181
Has the product been a good partner in doing business?
8.9
187
9.2
95
Product Direction (% positive)
9.6
562
8.0
178
Features by Category
Reports
8.3
12
Not enough data
7.7
10
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
145
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
88
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
7.9
50
8.5
164
7.8
48
Functionality
9.1
173
8.9
65
9.2
174
8.8
65
9.1
172
8.9
67
9.0
167
9.1
65
9.1
167
8.3
61
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
Management
Not enough data
8.7
22
Not enough data
9.3
23
Not enough data
8.9
24
Not enough data
9.0
21
Solution Provision
Not enough data
8.9
20
Not enough data
8.3
20
Not enough data
9.3
19
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
8.1
7
Not enough data
8.9
6
|
Verified
Not enough data
9.4
6
|
Verified
Not enough data
9.4
6
|
Verified
Not enough data
7.8
6
|
Verified
Not enough data
10.0
5
Not enough data
8.7
5
Management
Not enough data
8.3
6
|
Verified
Not enough data
8.3
6
|
Verified
Not enough data
9.5
7
|
Verified
Not enough data
8.9
6
|
Verified
Not enough data
8.8
7
Security
Not enough data
8.1
6
|
Verified
Not enough data
9.2
6
|
Verified
Not enough data
9.0
5
|
Verified
Integration Options
Not enough data
7.3
5
|
Verified
Not enough data
9.0
5
|
Verified
Not enough data
9.3
5
|
Verified
Not enough data
9.7
5
|
Verified
Deployment
Not enough data
7.7
5
Not enough data
8.8
7
Development
Not enough data
8.9
20
Not enough data
7.7
18
Management
Not enough data
8.4
17
Not enough data
8.8
18
Integration Options
Not enough data
8.3
16
Not enough data
7.7
13
Not enough data
8.7
18
Not enough data
7.9
11
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
Data Management
Not enough data
7.8
10
Not enough data
7.5
8
Not enough data
7.8
10
Not enough data
9.0
10
Not enough data
8.0
9
Functionality
Not enough data
6.8
11
Not enough data
8.2
11
Not enough data
7.4
11
Not enough data
7.6
9
Not enough data
8.7
9
Not enough data
8.0
10
Not enough data
8.1
8
Security
Not enough data
8.5
9
Not enough data
8.1
9
Generative AI
Not enough data
Not enough data
Functionality
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
8.1
7
Not enough data
7.8
6
Management
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
7.8
6
Not enough data
8.3
6
Not enough data
8.6
6
Generative AI
Not enough data
Not enough data
Agentic AI - Data Observability
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
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
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
Reporting
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
Not enough data
Not enough data
Database
8.7
237
Not enough data
8.9
243
Not enough data
9.3
257
Not enough data
Integrations
8.3
220
Not enough data
9.1
258
Not enough data
Platform
9.0
250
Not enough data
8.8
248
Not enough data
9.1
258
Not enough data
Processing
9.0
243
Not enough data
9.0
246
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
230
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
145
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 Integrate.io are categorized as ETL Tools
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, AI Agent Builders, and AI Gateways
Integrate.io is categorized as Data Observability, Reverse ETL, Data Replication, Big Data Integration Platforms, E-Commerce Data Integration, and iPaaS
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Integrate.io
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
10.5%
Computer Software
8.6%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Information Technology and Services
16.9%
Computer Software
13.0%
Marketing and Advertising
7.7%
Internet
5.3%
Financial Services
3.9%
Other
53.1%
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
Who uses Xplenty?
2 Comments
JC
We use Xplenty as a Private Equity firm to run dashboards across all our companies via Google Data Studio. Works great to quickly orientate to each business...Read more
Is my data private and safe in Xplenty?
1 Comment
Official Response from Integrate.io
Absolutely. At Xplenty, safety is our number one priority. That’s why we have SSL/TLS data encryption, physical security, firewalls, and more to ensure that...Read more
What if the data source that I’m looking for isn’t available?
1 Comment
Official Response from Integrate.io
If you don’t see the data source that you’re looking for in our integration pages, let us know and we will create it for you.Read more
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