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Data Observability Software
Great Expectations
Informatica Enterprise Data...
Great Expectations-vs-Informatica Enterprise Data...
Compare Great Expectations and Informatica Enterprise Data Preparation
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Data Quality
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At a Glance
Pricing
Ratings
Features
Reviews
Alternatives
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Great Expectations
(11)
4.5
out of
5
Great Expectations
By
Great Expectations
Informatica Enterprise Data Preparation
(10)
4.3
out of
5
Informatica Enterprise Data Preparation
By
Informatica
At a Glance
Star Rating
(11)
4.5
out of
5
(10)
4.3
out of
5
Market Segments
Mid-Market (45.5% of reviews)
Information
Mid-Market (44.4% of reviews)
Information
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Great Expectations
Star Rating
(11)
4.5
out of
5
Market Segments
Mid-Market (45.5% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Great Expectations
Informatica Enterprise Data Preparation
Star Rating
(10)
4.3
out of
5
Market Segments
Mid-Market (44.4% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Informatica Enterprise Data Preparation
Great Expectations vs Informatica Enterprise Data Preparation
Reviewers felt that Great Expectations meets the needs of their business better than Informatica Enterprise Data Preparation.
When comparing quality of ongoing product support, reviewers felt that Great Expectations is the preferred option.
For feature updates and roadmaps, our reviewers preferred the direction of Great Expectations over Informatica Enterprise Data Preparation.
Pricing
Entry-Level Pricing
Great Expectations
No pricing available
Informatica Enterprise Data Preparation
No pricing available
Free Trial
Great Expectations
No trial information available
Informatica Enterprise Data Preparation
No trial information available
Ratings
Meets Requirements
9.2
11
7.5
6
Ease of Use
9.1
9
7.2
6
Ease of Setup
9.2
6
Not enough data
Ease of Admin
8.3
6
Not enough data
Quality of Support
8.5
10
7.8
6
Has the product been a good partner in doing business?
8.6
6
Not enough data
Product Direction (% positive)
10.0
10
7.7
5
Features by Category
Machine Learning Data Catalog
Hide 21 Features
Show 21 Features
Not enough data
Not enough data
Data Governance
User Access Management
Not enough data
Not enough data
Dynamic Data Masking
Not enough data
Not enough data
Data Lineage
Not enough data
Not enough data
Data Preparation
Search
Not enough data
Not enough data
Data Quality and Cleansing
Not enough data
Not enough data
Data Transformation
Not enough data
Not enough data
Data Modeling
Not enough data
Not enough data
Collaboration
Commenting
Not enough data
Not enough data
Profiling and Classification
Not enough data
Not enough data
Business and Data Glossary
Not enough data
Not enough data
Metadata Management
Not enough data
Not enough data
Artificial Intelligence
Machine Learning Recommendations
Not enough data
Not enough data
Natural Language Query
Not enough data
Not enough data
Automatic Data Cleansing
Not enough data
Not enough data
Generative AI
AI Text Generation
Not enough data
Not enough data
AI Text Summarization
Not enough data
Not enough data
Agentic AI - Machine Learning Data Catalog
Autonomous Task Execution
Not enough data
Not enough data
Multi-step Planning
Not enough data
Not enough data
Cross-system Integration
Not enough data
Not enough data
Adaptive Learning
Not enough data
Not enough data
Decision Making
Not enough data
Not enough data
Data Preparation
Hide 15 Features
Show 15 Features
Not enough data
Not enough data
Data Source Access
Breadth of Data Sources
Not enough data
Not enough data
Ease of Data Connectivity
Not enough data
Not enough data
API Connectivity
Not enough data
Not enough data
Data Interaction
Profiling and Classification
Not enough data
Not enough data
Metadata Management
Not enough data
Not enough data
Data Modeling
Not enough data
Not enough data
Data Joining
Not enough data
Not enough data
Data Blending
Not enough data
Not enough data
Data Quality and Cleansing
Not enough data
Not enough data
Data Sharing
Not enough data
Not enough data
Data Governance
Not enough data
Not enough data
Data Exporting
Breadth of Integrations
Not enough data
Not enough data
Ease of Integrations
Not enough data
Not enough data
Data Workflows
Not enough data
Not enough data
Generative AI
AI Text Generation
Not enough data
Not enough data
Data Observability
Hide 15 Features
Show 15 Features
8.8
11
Not enough data
Functionality
Real-time Analytics
9.4
(won by default)
8
Not enough data
Data quality monitoring
8.8
(won by default)
11
Not enough data
Automation
8.8
(won by default)
11
Not enough data
End to End visiblity
8.9
(won by default)
9
Not enough data
Management
Anomaly identification
8.3
(won by default)
10
Not enough data
Single pane view
8.9
(won by default)
9
Not enough data
Real-time alerts
8.5
(won by default)
8
Not enough data
Data lineage
8.7
(won by default)
9
Not enough data
Integrations
8.6
(won by default)
11
Not enough data
Generative AI
AI Text Generation
Not enough data
Not enough data
Agentic AI - Data Observability
Autonomous Task Execution
Not enough data
Not enough data
Multi-step Planning
Not enough data
Not enough data
Cross-system Integration
Not enough data
Not enough data
Natural Language Interaction
Not enough data
Not enough data
Proactive Assistance
Not enough data
Not enough data
Data Quality
Hide 12 Features
Show 12 Features
Not enough data
Not enough data
Functionality
Identification
Not enough data
Not enough data
Correction
Not enough data
Not enough data
Normalization
Not enough data
Not enough data
Preventative Cleaning
Not enough data
Not enough data
Data Matching
Not enough data
Not enough data
Management
Reporting
Not enough data
Not enough data
Automation
Not enough data
Not enough data
Quality Audits
Not enough data
Not enough data
Dashboard
Not enough data
Not enough data
Governance
Not enough data
Not enough data
Generative AI
AI Text Generation
Not enough data
Not enough data
AI Text Summarization
Not enough data
Not enough data
Categories
Categories
Shared Categories
Great Expectations
Informatica Enterprise Data Preparation
Great Expectations and Informatica Enterprise Data Preparation are categorized as
Data Quality
Unique Categories
Great Expectations is categorized as
Data Observability
Informatica Enterprise Data Preparation is categorized as
Data Preparation
and
Machine Learning Data Catalog
Reviews
Reviewers' Company Size
Great Expectations
Small-Business
(50 or fewer emp.)
36.4%
Mid-Market
(51-1000 emp.)
45.5%
Enterprise
(> 1000 emp.)
18.2%
Informatica Enterprise Data Preparation
Small-Business
(50 or fewer emp.)
33.3%
Mid-Market
(51-1000 emp.)
44.4%
Enterprise
(> 1000 emp.)
22.2%
Small-Business
(50 or fewer emp.)
36.4%
33.3%
Mid-Market
(51-1000 emp.)
45.5%
44.4%
Enterprise
(> 1000 emp.)
18.2%
22.2%
Reviewers' Industry
Great Expectations
Accounting
36.4%
Information Technology and Services
18.2%
Telecommunications
9.1%
Security and Investigations
9.1%
Online Media
9.1%
Other
18.2%
Informatica Enterprise Data Preparation
Program Development
11.1%
Marketing and Advertising
11.1%
Management Consulting
11.1%
Information Technology and Services
11.1%
Cosmetics
11.1%
Other
44.4%
Alternatives
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Discussions
Great Expectations Discussions
Great Expectations has no discussions with answers
See all discussions
Informatica Enterprise Data Preparation Discussions
Informatica Enterprise Data Preparation has no discussions with answers
See all discussions
Ask Great Expectations a Question
Contact Great Expectations
Ask Informatica Enterprise Data... a Question
Contact Informatica Enterprise Data...
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At a Glance
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Great Expectations
Informatica Enterprise Data Preparation
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