Compare Databricks and Fivetran
At a Glance
Market Segments
Enterprise (44.2% of reviews)
Mid-Market (59.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Databricks
Star Rating
(765)4.6 out of 5
Market Segments
Enterprise (44.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks
Fivetran
Star Rating
(794)4.3 out of 5
Market Segments
Mid-Market (59.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 4 pricing plans
Summary
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.
- Users say that Fivetran is particularly user-friendly, with easy connectors that allow data to be loaded with just a click. This simplicity is highlighted by reviewers who appreciate the pre-defined schema for various products, making reporting straightforward.
- Reviewers mention that Databricks offers superior governance and data management capabilities, especially with its Unity Catalog, which enhances centralized governance, lineage tracking, and fine-grained access control, making it a strong choice for enterprises.
- According to verified reviews, Fivetran's ease of setup is a significant advantage, with many users noting the abundance of resources available for each connection, which simplifies the onboarding process and reduces the learning curve.
- Users highlight that while Databricks has a slightly lower ease of use rating, it compensates with its robust features that cater to complex data needs, allowing users to manage everything from data extraction to transformation effectively.
- G2 reviewers indicate that Databricks has a higher overall satisfaction score, reflecting its ability to meet diverse user requirements, while Fivetran, despite its strengths in user-friendliness, may not offer the same depth of features for advanced data workflows.
Pricing
Entry-Level Pricing
Databricks
No pricing availableFivetran
Free Plan
Free
For individuals automating ELT for small volumes of data.
- Access Standard Plan features, free up to 500,000 monthly active rows (MAR)
- Commitment free: No credit card required
Free Trial
Databricks
Free Trial is available
Fivetran
Free Trial is available
Ratings
Meets Requirements
9.0
599
8.6
584
Ease of Use
8.9
615
9.0
592
Ease of Setup
8.7
488
9.1
373
Ease of Admin
8.4
185
8.8
327
Quality of Support
8.7
576
8.5
534
Has the product been a good partner in doing business?
8.9
189
8.7
321
Product Direction (% positive)
9.6
586
8.3
530
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
9.1
9
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
161
Not enough data
8.6
152
Not enough data
7.7
127
Not enough data
8.5
153
Not enough data
Functionality
Not enough data
8.4
152
Not enough data
8.5
145
Not enough data
8.4
129
Not enough data
7.1
116
Not enough data
8.7
138
Not enough data
6.4
111
Diverse Extraction Points
Not enough data
8.4
152
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
95
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
7.7
150
8.5
166
7.4
146
Functionality
9.1
178
8.9
161
9.2
180
8.1
171
9.1
175
8.9
194
9.0
169
9.0
194
9.2
171
8.5
188
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
7.2
66
Not enough data
8.2
59
Not enough data
8.5
77
Not enough data
8.0
82
Solution Provision
Not enough data
7.3
55
Not enough data
8.3
71
Not enough data
7.6
54
Data Management
9.1
188
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
8.9
184
|
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
171
|
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
181
|
Verified
Not enough data
Performance
9.2
182
|
Verified
Not enough data
Security
8.9
173
|
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
9.0
70
Not enough data
8.8
72
Not enough data
8.9
71
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
70
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
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
270
Not enough data
Platform
9.0
265
Not enough data
8.9
254
Not enough data
9.1
270
Not enough data
Processing
9.1
250
Not enough data
9.0
257
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
8.7
215
Not enough data
8.6
211
Not enough data
9.3
233
Not enough data
Building Reports
9.0
161
Not enough data
8.6
152
Not enough data
7.7
127
Not enough data
8.5
153
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 Fivetran 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
Fivetran is categorized as Data Replication and Data Extraction
Reviews
Reviewers' Company Size
Databricks
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Fivetran
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
10.3%
Computer Software
8.8%
Consulting
4.0%
Hospital & Health Care
3.8%
Other
57.3%
Computer Software
21.9%
Information Technology and Services
17.4%
Financial Services
8.6%
Retail
5.1%
Marketing and Advertising
3.6%
Other
43.4%
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
Is Fivetran an ETL tool?
2 Comments
SY
Fivetran is actually an "ELT" tool. It Extracts, Loads, and then Transforms, keeping a copy of both the source data as well as the transformed data.Read more
What is Fivetran used for?
1 Comment
DA
Data extraction from operational systems for us in reporting and analytical environmentsRead more
How much does Fivetran cost?
1 Comment
SY
Fivetran charges according to a concept called MAR, Monthly Active Rows. 1 MAR is good for 1000 unique rows. If a row is updated more than once in a given...Read more
