Compare Bigeye and Databricks 
At a Glance
Market Segments
Small-Business (54.5% of reviews)
Enterprise (44.2% 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
Star Rating
(761)4.6 out of 5
Market Segments
Enterprise (44.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksSummary
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 and Lakehouse Connect that streamline data processing, analysis, and machine learning all in one platform. Users appreciate the notebook environment that simplifies their tasks.
- Users say that Bigeye offers a user-friendly experience with its core concepts being simple and easy to grasp. Reviewers highlight the effectiveness of creating freshness and volume checks, which are crucial for maintaining data integrity.
- According to verified reviews, Databricks has a significantly higher overall satisfaction score, reflecting its strong market presence and user trust. The Unity Catalog feature is particularly praised for enhancing governance and lineage tracking during enterprise migrations.
- Reviewers mention that while Bigeye provides valuable technical features, it may not match the extensive capabilities of Databricks, especially for larger enterprises. Users note that Bigeye is more suited for small businesses, which may limit its scalability for larger operations.
- G2 reviewers highlight that Databricks has a more robust support system, with higher ratings in quality of support and ease of administration. Users feel that the support team is responsive and helpful, which is crucial for troubleshooting and optimizing their data workflows.
- Users report that while Bigeye shines in data observability and automated workflows, it may lack the depth of analytics capabilities found in Databricks. Reviewers appreciate Bigeye's ability to identify data issues quickly, but some feel that Databricks offers a more comprehensive analytics suite.
Pricing
Entry-Level Pricing
Bigeye
Enterprise Starter
Contact Us
- End-to-end lineage
- Cloud, on prem, and hybrid support
- Cross-source columnar mapping
Databricks
No pricing availableFree Trial
Bigeye
No trial information availableDatabricks
Free Trial is available
Ratings
Meets Requirements
8.0
22
9.0
597
Ease of Use
8.5
22
8.9
613
Ease of Setup
8.1
12
8.7
486
Ease of Admin
7.2
12
8.4
185
Quality of Support
8.2
20
8.7
574
Has the product been a good partner in doing business?
8.3
12
8.9
189
Product Direction (% positive)
7.8
21
9.6
584
Features by Category
Reports
Not enough data
8.5
14
Not enough data
7.9
12
Not enough data
8.6
13
Not enough data
8.2
10
Not enough data
9.0
17
Data Preparation
Not enough data
9.0
7
Not enough data
9.0
8
Data Modeling and Blending
Not enough data
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Generative AI
Not enough data
9.2
10
Not enough data
9.3
7
Agentic AI - Analytics Platforms
Not enough data
9.4
8
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.5
8
Not enough data
9.3
7
Not enough data
9.4
6
Self Service
Not enough data
7.9
11
Not enough data
7.9
11
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.5
13
Not enough data
8.3
10
Deployment & Integration - Analytics Platforms
Not enough data
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Advanced Analytics
Not enough data
8.6
13
Not enough data
8.5
13
Not enough data
9.2
15
Performance & Scalability - Analytics Platforms
Not enough data
9.0
8
Not enough data
9.7
5
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Agentic AI Capabilities - Analytics Platforms
Not enough data
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Personalized Intelligence - Analytics Platforms
Not enough data
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Building Reports
Not enough data
9.0
160
Not enough data
8.7
151
Not enough data
7.7
127
Not enough data
8.5
152
Administration
Not enough data
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Management
Not enough data
8.5
88
Not enough data
8.6
87
Not enough data
8.7
89
Not enough data
8.5
88
Not enough data
8.8
87
Compliance
Not enough data
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Security
Not enough data
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Data Quality
Not enough data
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Maintainence
Not enough data
8.7
86
Not enough data
8.8
85
Generative AI
Not enough data
8.4
83
Not enough data
8.5
82
Agentic AI - Data Governance
Not enough data
8.6
11
Not enough data
8.9
12
Not enough data
9.1
15
Not enough data
8.6
13
Not enough data
9.1
13
Not enough data
9.0
14
Management
Not enough data
8.6
174
Not enough data
8.5
166
Functionality
Not enough data
9.1
178
Not enough data
9.2
180
Not enough data
9.1
175
Not enough data
9.0
169
Not enough data
9.2
171
Deployment
Not enough data
8.9
65
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
68
Deployment
Not enough data
8.9
62
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
Management
Not enough data
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Operations
Not enough data
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Management
Not enough data
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Generative AI
Not enough data
8.3
28
Not enough data
8.3
28
System
Not enough data
8.9
181
Model Development
Not enough data
8.8
186
Not enough data
8.0
189
Not enough data
8.3
187
Not enough data
8.7
192
Model Development
Not enough data
8.5
173
Machine/Deep Learning Services
Not enough data
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Machine/Deep Learning Services
Not enough data
8.4
159
Not enough data
8.4
161
Deployment
Not enough data
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Generative AI
Not enough data
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
9.3
9
Not enough data
8.5
8
Not enough data
8.3
9
Not enough data
8.8
8
Not enough data
9.2
11
Not enough data
8.8
7
Not enough data
9.4
8
Data Management
Not enough data
9.1
187
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.9
183
|
Verified
Not enough data
8.8
182
|
Verified
Not enough data
8.7
169
|
Verified
Not enough data
9.1
174
|
Verified
Integration
Not enough data
8.8
170
|
Verified
Not enough data
8.8
169
|
Verified
Not enough data
9.1
178
|
Verified
Deployment
Not enough data
8.0
158
|
Verified
Not enough data
9.2
180
|
Verified
Performance
Not enough data
9.2
181
|
Verified
Security
Not enough data
8.9
172
|
Verified
Not enough data
8.9
170
|
Verified
Generative AI
Not enough data
8.5
78
Not enough data
8.4
77
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
Data Management
8.3
5
9.0
70
8.3
5
8.8
72
8.7
5
8.9
70
9.3
5
9.2
71
Agentic AI - DataOps Platforms
Not enough data
9.2
11
Feature Not Available
9.1
9
Not enough data
9.1
11
Not enough data
9.2
10
Feature Not Available
9.5
10
Analytics
9.0
5
8.9
69
9.7
5
8.6
69
Monitoring and Management
9.3
5
8.6
69
Not enough data
8.6
70
Cloud Deployment
9.0
5
9.0
65
9.0
5
9.0
66
Generative AI
Feature Not Available
9.0
38
Not enough data
8.9
38
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
Feature Not Available
Not enough data
Not enough data
Not enough data
Feature Not Available
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
Database
Not enough data
8.7
238
Not enough data
8.9
246
Not enough data
9.3
266
Integrations
Not enough data
8.3
219
Not enough data
9.1
270
Platform
Not enough data
9.0
264
Not enough data
8.9
254
Not enough data
9.1
270
Processing
Not enough data
9.1
249
Not enough data
9.0
256
Data Transformation
Not enough data
8.9
229
Not enough data
9.1
238
Connectivity
Not enough data
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Operations
Not enough data
8.4
230
Not enough data
8.8
229
Not enough data
8.6
214
Not enough data
8.6
210
Not enough data
9.3
233
Building Reports
Not enough data
9.0
160
Not enough data
8.7
151
Not enough data
7.7
127
Not enough data
8.5
152
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 are categorized as DataOps Platforms
Unique Categories
Bigeye is categorized as Data Observability
Databricks is categorized as MLOps Platforms, Data Governance, ETL Tools, 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
Reviews
Reviewers' Company Size
Bigeye
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Databricks
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
15.9%
Financial Services
10.4%
Computer Software
8.8%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.3%
Alternatives
Discussions
Bigeye has no discussions with answers
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
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