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At a Glance
Market Segments
Small-Business (54.5% of reviews)
Enterprise (46.1% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
Bigeye
Star Rating
(22)4.1 out of 5
Market Segments
Small-Business (54.5% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Learn more about BigeyeDatabricks Data Intelligence Platform
Star Rating
(633)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in Data Integration with a score of 9.0, while Bigeye follows closely with a score of 8.9. Reviewers mention that Databricks offers a more seamless experience when connecting various data sources, which is crucial for enterprise-level applications.
- Reviewers mention that Databricks shines in Real-time Analytics with a score of 8.3, compared to Bigeye's 8.5. Users on G2 appreciate the speed and efficiency of Databricks in processing real-time data, making it a preferred choice for businesses needing immediate insights.
- Users say that the Data Quality Monitoring feature in Bigeye is highly rated at 9.1, which is a significant advantage over Databricks' score of 8.3. Reviewers highlight Bigeye's robust capabilities in ensuring data accuracy and reliability, which is essential for data-driven decision-making.
- G2 users report that Databricks offers superior Machine Learning Services, particularly in Model Development with a score of 8.7, while Bigeye's score is slightly lower at 8.6. Users mention that Databricks provides a more comprehensive set of tools for model training and feature engineering, making it easier for data scientists to build and deploy models.
- Reviewers mention that the Ease of Setup is a strong point for Databricks, scoring 8.4, while Bigeye scores 7.9. Users report that Databricks provides a more intuitive onboarding process, which is beneficial for teams looking to get started quickly without extensive technical expertise.
- Users on G2 highlight that Databricks has a more favorable Product Direction score of 9.4 compared to Bigeye's 7.7. Reviewers say that this indicates a stronger commitment to innovation and feature enhancements, which is vital for organizations looking for long-term software solutions.
Pricing
Entry-Level Pricing
Bigeye
Enterprise Starter
Contact Us
- End-to-end lineage
- Cloud, on prem, and hybrid support
- Cross-source columnar mapping
Databricks Data Intelligence Platform
No pricing availableFree Trial
Bigeye
No trial information availableDatabricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.0
22
8.9
517
Ease of Use
8.5
22
8.8
526
Ease of Setup
8.1
12
8.7
399
Ease of Admin
7.2
12
8.3
170
Quality of Support
8.2
20
8.7
492
Has the product been a good partner in doing business?
8.3
12
8.8
173
Product Direction (% positive)
7.8
21
9.6
505
Features by Category
Reports
Not enough data
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
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
Not enough data
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
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
Not enough data
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
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
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Administration
Not enough data
8.8
94
Not enough data
8.7
91
Not enough data
9.0
92
Not enough data
8.7
93
Management
Not enough data
8.5
85
Not enough data
8.7
84
Not enough data
8.6
85
Not enough data
8.5
83
Not enough data
8.7
83
Compliance
Not enough data
8.8
92
Not enough data
8.7
91
Not enough data
8.9
90
Not enough data
8.7
90
Security
Not enough data
9.0
82
Not enough data
8.9
83
Not enough data
8.9
83
Data Quality
Not enough data
9.0
92
Not enough data
8.8
91
Not enough data
9.0
89
Maintainence
Not enough data
8.8
82
Not enough data
8.8
81
Generative AI
Not enough data
8.4
80
Not enough data
8.5
79
Agentic AI - Data Governance
Not enough data
8.9
9
Not enough data
9.1
9
Not enough data
9.3
10
Not enough data
8.7
10
Not enough data
9.2
10
Not enough data
9.2
10
Management
Not enough data
8.6
169
Not enough data
8.5
163
Functionality
Not enough data
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Deployment
Not enough data
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
65
Deployment
Not enough data
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
65
Not enough data
9.0
65
Management
Not enough data
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Operations
Not enough data
8.7
62
Not enough data
8.8
60
Not enough data
9.0
62
Management
Not enough data
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Generative AI
Not enough data
8.3
27
Not enough data
8.3
27
System
Not enough data
8.8
175
Model Development
Not enough data
8.8
180
Not enough data
8.0
186
Not enough data
8.3
183
Not enough data
8.6
185
Model Development
Not enough data
8.5
171
Machine/Deep Learning Services
Not enough data
8.1
172
Not enough data
8.5
177
Not enough data
8.2
168
Not enough data
8.2
171
Machine/Deep Learning Services
Not enough data
8.4
156
Not enough data
8.4
159
Deployment
Not enough data
8.5
175
Not enough data
8.7
178
Not enough data
9.0
182
Generative AI
Not enough data
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.3
7
Not enough data
8.6
6
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
9.3
7
Not enough data
9.2
6
Not enough data
9.3
7
Data Management
Not enough data
9.0
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
169
|
Verified
Integration
Not enough data
8.8
166
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Deployment
Not enough data
7.9
154
|
Verified
Not enough data
9.1
175
|
Verified
Performance
Not enough data
9.1
175
|
Verified
Security
Not enough data
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Generative AI
Not enough data
8.5
76
Not enough data
8.4
75
Data Management
8.3
5
9.0
66
8.3
5
8.7
66
8.7
5
8.8
67
9.3
5
9.1
64
Agentic AI - DataOps Platforms
Not enough data
8.8
7
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.3
7
Analytics
9.0
5
8.8
65
9.7
5
8.5
64
Monitoring and Management
9.3
5
8.6
65
Not enough data
8.5
65
Cloud Deployment
9.0
5
9.1
61
9.0
5
9.0
62
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
Functionality
8.2
19
Not enough data
9.0
19
Not enough data
8.1
18
Not enough data
7.8
18
Not enough data
Management
8.2
19
Not enough data
7.6
18
Not enough data
7.9
18
Not enough data
7.2
18
Not enough data
8.4
18
Not enough data
Generative AI
5.8
6
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
Database
Not enough data
8.7
222
Not enough data
8.9
228
Not enough data
9.3
230
Integrations
Not enough data
8.3
211
Not enough data
9.2
232
Platform
Not enough data
9.0
225
Not enough data
8.8
228
Not enough data
9.2
232
Processing
Not enough data
9.0
224
Not enough data
9.0
223
Data Transformation
Not enough data
8.8
220
Not enough data
9.0
227
Connectivity
Not enough data
8.7
203
Not enough data
9.2
226
Not enough data
9.0
218
Not enough data
9.2
226
Operations
Not enough data
8.4
224
Not enough data
8.8
219
Not enough data
8.6
208
Not enough data
8.6
206
Not enough data
9.3
221
Building Reports
Not enough data
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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
Bigeye and Databricks Data Intelligence Platform are categorized as DataOps Platforms
Unique Categories
Bigeye is categorized as Data Observability
Databricks Data Intelligence Platform is categorized as MLOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Reviews
Reviewers' Company Size
Bigeye
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks Data Intelligence Platform
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
22.7%
Computer Software
13.6%
Consulting
4.5%
Sports
4.5%
Online Media
4.5%
Other
50.0%
Information Technology and Services
14.6%
Financial Services
11.3%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.4%
Alternatives
Discussions
Bigeye has no discussions with answers
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
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