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At a Glance
Market Segments
Enterprise (42.7% of reviews)
Mid-Market (58.5% of reviews)
Entry-Level Pricing
Contact Us
No pricing available
ActiveBatch
Star Rating
(213)4.6 out of 5
Market Segments
Enterprise (42.7% of reviews)
Entry-Level Pricing
Contact Us
Free Trial is available
Learn more about ActiveBatchdbt
Star Rating
(190)4.7 out of 5
Market Segments
Mid-Market (58.5% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about dbtSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that ActiveBatch Workload Automation excels in "Job Scheduling" with a score of 9.6, making it a preferred choice for organizations needing robust scheduling capabilities. In contrast, dbt's "Job Scheduling" scored lower at 8.7, indicating it may not be as strong in this area.
- Reviewers mention that ActiveBatch's "Multi-platform support" received a high score of 9.3, which is beneficial for enterprises that operate across various systems. On the other hand, dbt's score of 8.7 suggests it may have limitations in supporting diverse platforms.
- G2 users highlight that dbt shines in "Data Transformation" with a score of 9.4, which is crucial for teams focused on transforming data efficiently. ActiveBatch, while strong, scored slightly lower at 9.1 in this category, indicating dbt may offer more advanced transformation features.
- Users on G2 report that ActiveBatch's "Automation" capabilities, particularly in "Workflow Automation," scored 9.5, showcasing its strength in automating complex workflows. In comparison, dbt's score of 9.2 suggests it may not be as comprehensive in this aspect.
- Reviewers mention that dbt's "Data Quality and Cleansing" features received a high score of 9.4, which is essential for maintaining data integrity. ActiveBatch, with a score of 9.1, is still effective but may not provide the same level of focus on data quality as dbt.
- Users say that both products have strong "Quality of Support," each scoring 8.9, indicating that both ActiveBatch and dbt are reliable partners in terms of customer service. However, dbt's slightly higher score in "Product Direction" at 9.8 suggests a more positive outlook on future developments.
Pricing
Entry-Level Pricing
ActiveBatch
Simple, Usage-Based Pricing
Contact Us
- Ease of use - connect to your entire tech stack with our low-code API adapter and no-code connectors for SQL Server, SharePoint, Informatica, ServiceNow, VMware and more.
- Outstanding out-of-the-box features, including predictive SLA, change management, auto-remediation and a complete managed transfer file suite.
- Monitoring, alerting and reporting - reduce time troubleshooting and manage dependencies better with flexible and customizable monitoring and alerting.
dbt
No pricing availableFree Trial
ActiveBatch
Free Trial is available
dbt
Free Trial is available
Ratings
Meets Requirements
9.3
163
9.2
139
Ease of Use
8.8
161
9.0
141
Ease of Setup
8.4
112
8.6
80
Ease of Admin
8.7
101
8.5
58
Quality of Support
8.9
155
8.9
112
Has the product been a good partner in doing business?
9.0
99
8.8
52
Product Direction (% positive)
8.5
150
9.7
126
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
Automation
9.3
98
Not enough data
9.0
92
Not enough data
9.1
57
Not enough data
Administration
9.0
96
Not enough data
9.2
90
Not enough data
8.9
75
Not enough data
9.0
55
Not enough data
9.1
58
Not enough data
9.1
52
Not enough data
Functionality
9.5
100
Not enough data
8.7
77
Not enough data
9.0
50
Not enough data
Agentic AI - Workload Automation
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
48
Not enough data
9.2
50
Not enough data
8.6
41
Data Interaction
Not enough data
8.3
41
Not enough data
8.5
44
Not enough data
9.1
49
Not enough data
9.1
47
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.6
44
Not enough data
8.6
44
Data Exporting
Not enough data
8.5
42
Not enough data
8.6
43
Not enough data
9.1
45
Generative AI
Not enough data
6.5
27
Data Delivery
8.7
34
|
Verified
Not enough data
8.7
47
|
Verified
Not enough data
9.4
45
|
Verified
Not enough data
9.0
39
|
Verified
Not enough data
Functionality
8.8
24
|
Verified
Not enough data
8.6
34
|
Verified
Not enough data
8.8
44
|
Verified
Not enough data
7.8
45
|
Verified
Not enough data
Governance
8.8
46
|
Verified
Not enough data
8.9
36
|
Verified
Not enough data
9.0
47
|
Verified
Not enough data
Core Transfer Infrastructure - Managed File Transfer (MFT)
8.7
34
|
Verified
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform Capabilities - Managed File Transfer (MFT)
8.6
34
|
Verified
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security & Compliance Controls - Managed File Transfer (MFT)
8.8
46
|
Verified
Not enough data
8.9
36
|
Verified
Not enough data
9.0
47
|
Verified
Not enough data
Intelligent Automation & AI - Managed File Transfer (MFT)
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
36
Functionality
Not enough data
Feature Not Available
Not enough data
9.2
41
Not enough data
Feature Not Available
Not enough data
9.4
38
Not enough data
9.2
36
Data Management
Not enough data
9.2
49
Not enough data
9.1
51
Not enough data
9.1
49
Not enough data
9.3
50
Agentic AI - DataOps Platforms
Not enough data
7.6
9
Not enough data
7.7
8
Not enough data
8.3
10
Not enough data
8.0
9
Not enough data
8.5
9
Analytics
Not enough data
8.7
47
Not enough data
7.3
35
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
50
Cloud Deployment
Not enough data
8.7
37
Not enough data
8.8
30
Generative AI
Not enough data
5.9
13
Not enough data
6.3
13
Automation
9.4
21
8.8
34
9.2
20
8.3
32
8.9
18
8.6
35
9.0
18
Feature Not Available
Functionality
8.6
18
8.6
34
9.2
21
8.6
33
9.0
19
8.4
33
Administration
9.3
22
8.4
36
9.3
23
8.9
34
9.1
22
9.1
34
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Functionality - Process Orchestration
8.7
5
Not enough data
Not enough data
Not enough data
9.7
6
Not enough data
9.7
5
Not enough data
Not enough data
Not enough data
Integration & Adaptability - Process Orchestration
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
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
38
Connectivity
Not enough data
8.5
27
Not enough data
8.6
28
Not enough data
8.5
34
Not enough data
9.0
31
Operations
Not enough data
Feature Not Available
Not enough data
9.4
37
Not enough data
8.6
31
Not enough data
8.6
30
Not enough data
8.5
29
Functionality
Not enough data
8.7
38
Not enough data
8.4
36
Not enough data
8.6
38
Not enough data
8.2
38
Not enough data
8.4
36
Management
Not enough data
8.4
38
Not enough data
9.2
42
Not enough data
8.9
37
Not enough data
8.2
39
Not enough data
8.3
41
Generative AI
Not enough data
6.3
20
Not enough data
6.7
20
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
ActiveBatch and dbt are categorized as Data Warehouse Automation
Unique Categories
ActiveBatch is categorized as Managed File Transfer (MFT), Workload Automation, and Process Orchestration
dbt is categorized as Big Data Analytics, Big Data Integration Platforms, Data Preparation, Data Quality, ETL Tools, DataOps Platforms, and Semantic Layer Tools
Reviews
Reviewers' Company Size
ActiveBatch
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
Information Technology and Services
18.0%
Financial Services
17.1%
Hospital & Health Care
7.6%
Insurance
6.6%
Banking
6.2%
Other
44.5%
Information Technology and Services
19.7%
Computer Software
16.5%
Financial Services
10.6%
Retail
4.8%
Marketing and Advertising
4.8%
Other
43.6%
Alternatives
Discussions
What is the best way to retain 10 days of log information on each job. This is one area where the documentation can use recommendations. For example, I want to see how the job performed, via the log, from 10 days ago. Today, the log would show GetFile failed if older than three days, or thereabouts.
1 Comment
KW
All jobs have properties that determine how job log files are managed. The factory default setting is Centrally Managed Logging. This means that the location...Read more
What is the best way to retain 10 days of log information on each job?
1 Comment
NA
create a log file instead of having active batch manage it,Read more
ActiveBatch has no more discussions with answers
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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