Compare Anomalo and dbt 
Featured Products
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Mid-Market (57.4% of reviews)
Entry-Level Pricing
Contact Us 10000 Tables Per Year
No pricing available
Anomalo
Star Rating
(41)4.4 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
Contact Us 10000 Tables Per Year
Learn more about Anomalodbt
Star Rating
(198)4.7 out of 5
Market Segments
Mid-Market (57.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about dbtSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that dbt excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Anomalo. Users appreciate its ease of use and integration capabilities, with one reviewer noting, "DBT is a data building tool that is very easy to setup, to use and we are using it every day for our data transformation."
- Users say that dbt's implementation process is notably quick and seamless. Reviewers highlight the tool's ability to provide structure to data work without adding delays during setup, making it a preferred choice for teams looking to streamline their data transformation processes.
- According to verified reviews, Anomalo shines in its customer support, with users praising the outstanding assistance they receive. One user mentioned, "Customer support so far has been outstanding," indicating a strong commitment to helping users navigate the platform effectively.
- Reviewers mention that while Anomalo offers quick setup for monitoring checks, dbt provides a more comprehensive suite of features for data transformation. Users appreciate dbt's automation capabilities, which allow them to trust the accuracy of their KPIs, as highlighted by a user who noted the confidence gained from its thoroughly tested transformation logic.
- G2 reviewers highlight that dbt has a larger volume of recent reviews, indicating a more active user base and up-to-date feedback. With 16 recent reviews compared to Anomalo's 0, dbt's community engagement suggests a robust and evolving product that continues to meet user needs effectively.
- Users report that while Anomalo allows for tailored monitoring with minimal clicks, dbt's overall functionality and user experience are more robust. Reviewers appreciate the tool's integration with BigQuery and version control tools, facilitating teamwork and enhancing productivity in data projects.
Pricing
Entry-Level Pricing
Anomalo
Custom
Contact Us
10000 Tables Per Year
Free pilot. Secure In-VPC deployment. Contact us to get started.
- Automated data monitoring
- Simple installation
- Visualizations for reporting and explainability
dbt
No pricing availableFree Trial
Anomalo
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
8.2
36
9.2
146
Ease of Use
8.5
36
9.0
148
Ease of Setup
9.4
14
8.6
87
Ease of Admin
8.1
15
8.5
59
Quality of Support
9.0
35
8.9
117
Has the product been a good partner in doing business?
8.9
15
8.6
53
Product Direction (% positive)
8.8
29
9.6
133
Features by Category
Reports
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
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Data Source Access
Not enough data
8.8
47
Not enough data
9.2
50
Not enough data
8.6
41
Data Interaction
Not enough data
8.3
40
Not enough data
8.5
44
Not enough data
9.0
50
Not enough data
9.1
48
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.7
47
Not enough data
8.7
45
Data Exporting
Not enough data
8.5
41
Not enough data
8.7
44
Not enough data
9.1
45
Generative AI
Not enough data
6.5
27
Functionality
8.1
7
Not enough data
7.9
7
Not enough data
6.0
5
Not enough data
6.9
6
Not enough data
7.2
6
Not enough data
7.9
7
Not enough data
Agentic AI - Database Monitoring
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
Management
Not enough data
Feature Not Available
Not enough data
8.2
37
Functionality
Not enough data
Feature Not Available
Not enough data
9.3
45
Not enough data
Feature Not Available
Not enough data
9.5
40
Not enough data
9.2
37
Data Management
Not enough data
9.2
50
Not enough data
9.1
52
Not enough data
9.1
49
Not enough data
9.3
49
Agentic AI - DataOps Platforms
Not enough data
7.5
8
Not enough data
7.4
7
Not enough data
8.1
9
Not enough data
8.1
9
Not enough data
8.3
8
Analytics
Not enough data
8.8
48
Not enough data
7.3
34
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
51
Cloud Deployment
Not enough data
8.7
37
Not enough data
8.8
29
Generative AI
Not enough data
5.7
12
Not enough data
6.0
12
Automation
Not enough data
8.8
34
Not enough data
8.3
32
Not enough data
8.6
35
Not enough data
Feature Not Available
Functionality
Not enough data
8.6
34
Not enough data
8.6
34
Not enough data
8.4
34
Administration
Not enough data
8.4
37
Not enough data
8.9
34
Not enough data
9.1
35
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
9.4
6
Not enough data
7.8
6
Not enough data
8.7
5
Not enough data
Management
9.3
7
Not enough data
8.0
5
Not enough data
8.6
6
Not enough data
Not enough data
Not enough data
7.1
7
Not enough data
Generative AI
Not enough data
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
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
Not enough data
8.5
32
Not enough data
9.4
39
Connectivity
Not enough data
8.4
27
Not enough data
8.6
28
Not enough data
8.5
34
Not enough data
8.9
31
Operations
Not enough data
Feature Not Available
Not enough data
9.3
38
Not enough data
8.6
30
Not enough data
8.7
30
Not enough data
8.6
30
Functionality
8.7
14
8.7
39
Feature Not Available
8.3
36
Feature Not Available
8.7
40
6.9
7
8.2
38
7.8
10
8.4
38
Management
8.7
15
8.5
40
7.8
18
9.3
42
8.5
14
8.8
36
8.6
16
8.1
39
7.4
12
8.3
41
Generative AI
Not enough data
6.2
19
Not enough data
6.6
19
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Anomalo and dbt are categorized as Data Quality
Unique Categories
Anomalo is categorized as Data Observability and Database Monitoring
dbt is categorized as Big Data Analytics, Big Data Integration Platforms, Data Preparation, ETL Tools, Data Warehouse Automation, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
Anomalo
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
dbt
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
Financial Services
22.5%
Information Technology and Services
12.5%
Computer Software
12.5%
Leisure, Travel & Tourism
7.5%
Internet
7.5%
Other
37.5%
Information Technology and Services
19.5%
Computer Software
16.4%
Financial Services
10.3%
Retail
4.6%
Marketing and Advertising
4.6%
Other
44.6%
Discussions
Anomalo has no discussions with answers
What is DBT tool used for?
2 Comments
WW
SQL data transformations.Read more
What is DBT data Modelling?
2 Comments
TH
dbt data modeling is not a thing. Dbt is a transformation tool that makes it easier to implement data modeling techniques like snowflake, data vault etc. Read more
What is DBT database tool?
1 Comment
SY
DBT (DataBase Transformations) uses SQL select statements, with some added magic from Jinja templating language, to model and transform data. It's a highly...Read more
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