Compare Databricks and Hazelcast Platform 
At a Glance
Market Segments
Enterprise (44.3% of reviews)
Small-Business (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(759)4.6 out of 5
Market Segments
Enterprise (44.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksHazelcast Platform
Star Rating
(13)4.3 out of 5
Market Segments
Small-Business (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Hazelcast PlatformSummary
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 appreciated by users who value efficiency and ease of use.
- Users say that Hazelcast Platform stands out for its lightweight library and fast performance, making it an excellent choice for those with limited system resources. Reviewers highlight its simplicity and effectiveness in solving distributed system challenges, which can be a significant advantage for smaller businesses.
- According to verified reviews, Databricks has a strong reputation for its implementation process, with many users praising the intuitive onboarding experience. This ease of setup allows teams to quickly start leveraging the platform's capabilities, which is a crucial factor for enterprises looking to minimize downtime.
- Reviewers mention that while Hazelcast Platform is effective for distributed data management, it may not offer the same level of advanced features as Databricks. Users appreciate its distributed collections like Map and Set, but some feel that it lacks the depth of functionality found in more robust platforms.
- G2 reviewers highlight that Databricks provides exceptional support, with a quality of assistance that matches its high user satisfaction ratings. This support is particularly beneficial for enterprises that require reliable guidance during complex data migrations and governance implementations.
- Users report that while both platforms have their strengths, Databricks leads in overall user satisfaction, reflected in its higher G2 Score. The positive feedback surrounding features like Unity Catalog for centralized governance indicates that it is well-suited for larger organizations with intricate data needs.
Pricing
Entry-Level Pricing
Databricks
No pricing availableHazelcast Platform
No pricing availableFree Trial
Databricks
Free Trial is available
Hazelcast Platform
Free Trial is available
Ratings
Meets Requirements
9.0
595
8.8
8
Ease of Use
8.9
611
8.5
9
Ease of Setup
8.7
484
8.0
5
Ease of Admin
8.4
185
8.0
5
Quality of Support
8.7
573
8.7
5
Has the product been a good partner in doing business?
8.9
189
Not enough data
Product Direction (% positive)
9.6
583
7.4
9
Features by Category
Reports
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
Not enough data
Data Preparation
9.0
7
Not enough data
9.0
8
Not enough data
Data Modeling and Blending
9.1
9
Not enough data
9.0
8
Not enough data
8.9
9
Not enough data
Generative AI
9.2
10
Not enough data
9.3
7
Not enough data
Agentic AI - Analytics Platforms
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
Not enough data
Self Service
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
Not enough data
Deployment & Integration - Analytics Platforms
8.3
8
Not enough data
9.3
9
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Advanced Analytics
8.6
13
Not enough data
8.5
13
Not enough data
9.2
15
Not enough data
Performance & Scalability - Analytics Platforms
9.0
8
Not enough data
9.7
5
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.1
9
Not enough data
8.7
9
Not enough data
8.8
7
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.8
8
Not enough data
9.0
8
Not enough data
9.0
7
Not enough data
8.8
8
Not enough data
Personalized Intelligence - Analytics Platforms
9.3
7
Not enough data
8.1
9
Not enough data
8.5
8
Not enough data
Building Reports
9.0
160
Not enough data
8.7
151
Not enough data
7.7
127
Not enough data
8.4
151
Not enough data
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
Analytics
Not enough data
Not enough data
Administration
8.8
100
Not enough data
8.6
94
Not enough data
9.0
95
Not enough data
8.7
99
Not enough data
Management
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
Not enough data
Compliance
8.9
100
Not enough data
8.7
93
Not enough data
8.9
95
Not enough data
8.7
96
Not enough data
Security
9.0
89
Not enough data
8.9
87
Not enough data
8.8
87
Not enough data
Data Quality
9.0
95
Not enough data
8.7
94
Not enough data
9.0
94
Not enough data
Maintainence
8.7
86
Not enough data
8.8
85
Not enough data
Generative AI
8.4
83
Not enough data
8.5
82
Not enough data
Agentic AI - Data Governance
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
Not enough data
Management
8.6
174
Not enough data
8.5
166
Not enough data
Functionality
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
Not enough data
Deployment
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
Not enough data
Deployment
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
Not enough data
Management
9.0
64
Not enough data
8.9
66
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
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
181
Not enough data
Model Development
8.8
186
Not enough data
8.0
189
Not enough data
8.3
187
Not enough data
8.7
192
Not enough data
Model Development
8.5
173
Not enough data
Machine/Deep Learning Services
8.2
175
Not enough data
8.5
181
Not enough data
8.3
173
Not enough data
8.2
173
Not enough data
Machine/Deep Learning Services
8.4
159
Not enough data
8.4
161
Not enough data
Deployment
8.5
180
Not enough data
8.7
181
Not enough data
9.0
189
Not enough data
Generative AI
8.2
87
Not enough data
8.4
88
Not enough data
7.6
87
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
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
Solution Provision
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
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
Not enough data
Integration
8.8
170
|
Verified
Not enough data
8.8
169
|
Verified
Not enough data
9.1
178
|
Verified
Not enough data
Deployment
8.0
158
|
Verified
Not enough data
9.2
180
|
Verified
Not enough data
Performance
9.2
181
|
Verified
Not enough data
Security
8.9
172
|
Verified
Not enough data
8.9
170
|
Verified
Not enough data
Generative AI
8.5
78
Not enough data
8.4
77
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
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
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
Availability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance
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
Not enough data
Not enough data
Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
9.0
70
Not enough data
8.8
72
Not enough data
8.9
70
Not enough data
9.2
71
Not enough data
Agentic AI - DataOps Platforms
9.2
11
Not enough data
9.1
9
Not enough data
9.1
11
Not enough data
9.2
10
Not enough data
9.5
10
Not enough data
Analytics
8.9
69
Not enough data
8.6
69
Not enough data
Monitoring and Management
8.6
69
Not enough data
8.6
70
Not enough data
Cloud Deployment
9.0
65
Not enough data
9.0
66
Not enough data
Generative AI
9.0
38
Not enough data
8.9
38
Not enough data
Data Indexing
Not enough data
Not enough data
Not enough data
Not enough data
Filters
Not enough data
Not enough data
Not enough data
Not enough data
Query latency
Not enough data
Not enough data
Not enough data
Not enough data
Data latency
Not enough data
Not enough data
Not enough data
Not enough data
Connectors
Not enough data
Not enough data
Not enough data
Not enough data
Scale
Not enough data
Not enough data
Not enough data
Not enough data
Architecture
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
238
Not enough data
8.9
246
Not enough data
9.3
266
Not enough data
Integrations
8.3
219
Not enough data
9.1
269
Not enough data
Platform
8.9
262
Not enough data
8.9
254
Not enough data
9.1
269
Not enough data
Processing
9.0
247
Not enough data
9.0
254
Not enough data
Data Transformation
8.9
229
Not enough data
9.1
238
Not enough data
Connectivity
8.7
208
Not enough data
9.2
232
Not enough data
9.0
222
Not enough data
9.2
231
Not enough data
Operations
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
Not enough data
Building Reports
9.0
160
Not enough data
8.7
151
Not enough data
7.7
127
Not enough data
8.4
151
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
Database Features
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 Hazelcast Platform are categorized as Big Data Processing and Distribution
Unique Categories
Hazelcast Platform is categorized as Event Stream Processing, Data Replication, Stream Analytics, Key Value Databases, Document Databases, Real-time Analytic Database, Time Series Databases, and Vector Database
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hazelcast 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
15.8%
Financial Services
10.2%
Computer Software
8.8%
Consulting
4.0%
Hospital & Health Care
3.7%
Other
57.5%
Financial Services
16.7%
Computer Software
16.7%
Transportation/Trucking/Railroad
8.3%
Telecommunications
8.3%
Retail
8.3%
Other
41.7%
Alternatives
Discussions
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
Hazelcast Platform has no discussions with answers
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