Introducing G2.ai, the future of software buying.Try now
Compare Ataccama One and Databricks Data Intelligence Platform 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Starburst
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
QuerySurge
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Astro by Astronomer
Visit Website
At a Glance
Market Segments
Small-Business (36.4% of reviews)
Enterprise (46.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Ataccama One
Star Rating
(12)4.2 out of 5
Market Segments
Small-Business (36.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Ataccama OneDatabricks Data Intelligence Platform
Star Rating
(634)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, allowing seamless connections to various data sources, while Ataccama One, with a score of 8.9, also offers strong integration capabilities but is noted for its Metadata Management features, which received a score of 8.2.
- Reviewers mention that Databricks shines in Real-Time Data Collection with a score of 8.4, making it ideal for businesses needing immediate insights, whereas Ataccama One's Data Quality Management scored 8.5, indicating a robust focus on ensuring data accuracy and reliability.
- G2 users highlight that Databricks provides superior Machine Learning Recommendations with a score of 8.6, which enhances predictive analytics, while Ataccama One's Automated Workflows feature, scoring 8.9, is praised for streamlining data processes effectively.
- Users on G2 report that Databricks offers a more flexible Cloud Deployment option with a score of 8.9, supporting hybrid cloud environments, while Ataccama One's Cloud Migration Capabilities scored 9.1, making it a strong choice for organizations transitioning to the cloud.
- Reviewers mention that Databricks' Dashboards and Visualizations scored 8.3, providing intuitive data representation, while Ataccama One's Data Visualization capabilities, with a score of 8.1, are noted for their ease of use but may lack some advanced features.
- Users say that Databricks has a higher score of 9.4 for Product Direction, indicating a strong commitment to innovation, while Ataccama One, with a score of 8.8, is recognized for its solid support and user engagement, but may not match the pace of Databricks' advancements.
Pricing
Entry-Level Pricing
Ataccama One
No pricing availableDatabricks Data Intelligence Platform
No pricing availableFree Trial
Ataccama One
Free Trial is available
Databricks Data Intelligence Platform
Free Trial is available
Ratings
Meets Requirements
8.8
10
8.9
517
Ease of Use
8.7
9
8.8
526
Ease of Setup
Not enough data
8.7
399
Ease of Admin
Not enough data
8.3
170
Quality of Support
8.9
9
8.7
492
Has the product been a good partner in doing business?
Not enough data
8.8
173
Product Direction (% positive)
8.8
10
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
Data Governance
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
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 - Machine Learning Data Catalog
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
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
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
Functionality
Not enough data
Not enough data
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
Not enough data
9.0
66
Not enough data
8.7
66
Not enough data
8.8
67
Not enough data
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
Not enough data
8.8
65
Not enough data
8.5
64
Monitoring and Management
Not enough data
8.6
65
Not enough data
8.5
65
Cloud Deployment
Not enough data
9.1
61
Not enough data
9.0
62
Generative AI
Not enough data
8.9
35
Not enough data
8.9
35
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
Generative AI
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
Functionality
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
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
Generative AI
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
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
Ataccama One and Databricks Data Intelligence Platform are categorized as Data Governance
Unique Categories
Ataccama One is categorized as Machine Learning Data Catalog, Big Data Integration Platforms, Master Data Management (MDM), Data Quality, and Active Metadata Management
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, 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
Ataccama One
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
27.3%
Airlines/Aviation
18.2%
Plastics
9.1%
Music
9.1%
Mining & Metals
9.1%
Other
27.3%
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%
Discussions
Ataccama One 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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
