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Best Data Quality Tools - Page 3

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Data quality tools analyze sets of information and identify incorrect, incomplete, or improperly formatted data. After profiling data concerns, data quality tools cleanse or correct that data based on previously established guidelines. Deletion, modification, appending, and merging are all common methods of data set cleansing or correction; data analysts, marketers, and salespeople are just a few positions that benefit from leveraging data quality solutions.

By targeting and cleaning data lists, data quality software allows businesses to establish and maintain high standards for data integrity. These solutions are also helpful for ensuring that data adheres to these standards, based on the required industry, market, or in-house regulations. This process of maintaining data integrity enhances the reliability of such information for business use. Data sets can range from customer contact information to granular financial statistics and much more.

Data quality software products may also share features or coexist with master data management (MDM) software, data integration software, or big data software. While tangentially related to data quality solutions from a functional standpoint, address verification software differs through its distinct use cases, focus on physical location data, and reliance on authoritative location data sourcing to verify correctness.

To qualify for inclusion in the Data Quality category, a product must:

Enable data profiling and identify data anomalies
Provide basic data cleansing functionalities like record merge, append, and delete
Allow data modification and standardization based on predefined rules
Allow automated and manual cleaning options
Offer preventive measures to preserve data integrity
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Featured Data Quality Tools At A Glance

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

No filters applied
229 Listings in Data Quality Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM InfoSphere QualityStage is designed to support your data quality and information governance initiatives. It enables you to investigate, cleanse and manage your data, helping you maintain consisten

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 58% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM InfoSphere QualityStage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Accuracy
    1
    Data Quality
    1
    Duplicate Management
    1
    Cons
    Difficult Setup
    1
    Expensive
    1
    Not User-Friendly
    1
    Steep Learning Curve
    1
    User Adoption Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM InfoSphere QualityStage features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 8.8
    8.3
    Automation
    Average: 8.7
    10.0
    Identification
    Average: 8.8
    9.2
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,967 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

IBM InfoSphere QualityStage is designed to support your data quality and information governance initiatives. It enables you to investigate, cleanse and manage your data, helping you maintain consisten

Users
No information available
Industries
No information available
Market Segment
  • 58% Enterprise
  • 33% Mid-Market
IBM InfoSphere QualityStage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Accuracy
1
Data Quality
1
Duplicate Management
1
Cons
Difficult Setup
1
Expensive
1
Not User-Friendly
1
Steep Learning Curve
1
User Adoption Difficulty
1
IBM InfoSphere QualityStage features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 8.8
8.3
Automation
Average: 8.7
10.0
Identification
Average: 8.8
9.2
Preventative Cleaning
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,967 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Event Grid is a routing service that works with Azure Logic Apps and Azure Functions. It's one more solution that enables developers to focus on business value, not on infrastructure.

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 31% Mid-Market
    • 31% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Event Grid features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,093,068 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Event Grid is a routing service that works with Azure Logic Apps and Azure Functions. It's one more solution that enables developers to focus on business value, not on infrastructure.

Users
No information available
Industries
  • Computer Software
Market Segment
  • 31% Mid-Market
  • 31% Small-Business
Azure Event Grid features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,093,068 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Openprise is fueling the revolution in RevOps. Openprise automates critical RevOps processes to break down silos and align sales and marketing professionals and their technologies to deliver explosive

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Enterprise
    • 34% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Openprise Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Booking Efficiency
    1
    Data Management
    1
    Data Quality
    1
    Flexibility
    1
    Lead Generation
    1
    Cons
    Poor Navigation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Openprise features and usability ratings that predict user satisfaction
    9.9
    Quality of Support
    Average: 8.8
    9.7
    Automation
    Average: 8.7
    9.3
    Identification
    Average: 8.8
    9.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Openprise
    Year Founded
    2014
    HQ Location
    San Mateo, CA
    Twitter
    @OpenpriseTech
    3,607 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    127 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Openprise is fueling the revolution in RevOps. Openprise automates critical RevOps processes to break down silos and align sales and marketing professionals and their technologies to deliver explosive

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Enterprise
  • 34% Mid-Market
Openprise Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Booking Efficiency
1
Data Management
1
Data Quality
1
Flexibility
1
Lead Generation
1
Cons
Poor Navigation
1
Openprise features and usability ratings that predict user satisfaction
9.9
Quality of Support
Average: 8.8
9.7
Automation
Average: 8.7
9.3
Identification
Average: 8.8
9.8
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Openprise
Year Founded
2014
HQ Location
San Mateo, CA
Twitter
@OpenpriseTech
3,607 Twitter followers
LinkedIn® Page
www.linkedin.com
127 employees on LinkedIn®
(31)4.6 out of 5
6th Easiest To Use in Data Quality software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Migrating data is one of the biggest barriers to onboarding customers quickly and successfully. This process is often complex and error-prone, causing delays and frustration that can negatively impact

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 90% Small-Business
    • 6% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Flatfile Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Community Support
    1
    Customer Support
    1
    Helpful
    1
    Problem Solving
    1
    Productivity Improvement
    1
    Cons
    Limited Customization
    2
    Complex Implementation
    1
    Complex Setup
    1
    Difficult Setup
    1
    Error Handling
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Flatfile features and usability ratings that predict user satisfaction
    9.4
    Quality of Support
    Average: 8.8
    9.4
    Automation
    Average: 8.7
    9.2
    Identification
    Average: 8.8
    8.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Flatfile
    Year Founded
    2018
    HQ Location
    Denver, Colorado
    LinkedIn® Page
    www.linkedin.com
    43 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Migrating data is one of the biggest barriers to onboarding customers quickly and successfully. This process is often complex and error-prone, causing delays and frustration that can negatively impact

Users
No information available
Industries
  • Computer Software
Market Segment
  • 90% Small-Business
  • 6% Mid-Market
Flatfile Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Community Support
1
Customer Support
1
Helpful
1
Problem Solving
1
Productivity Improvement
1
Cons
Limited Customization
2
Complex Implementation
1
Complex Setup
1
Difficult Setup
1
Error Handling
1
Flatfile features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
9.4
Automation
Average: 8.7
9.2
Identification
Average: 8.8
8.8
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Flatfile
Year Founded
2018
HQ Location
Denver, Colorado
LinkedIn® Page
www.linkedin.com
43 employees on LinkedIn®
(74)4.7 out of 5
14th Easiest To Use in Data Quality software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Clean & Match Enterprise is the top-rated desktop platform for data quality management – powered with AI data matching for easy & efficient data cleaning, deduplication, & transformation.T

    Users
    No information available
    Industries
    • Marketing and Advertising
    • Health, Wellness and Fitness
    Market Segment
    • 43% Small-Business
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • WinPure Clean & Match Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    1
    Data Quality
    1
    Duplicate Management
    1
    Ease of Use
    1
    Easy Access
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • WinPure Clean & Match features and usability ratings that predict user satisfaction
    9.4
    Quality of Support
    Average: 8.8
    9.4
    Automation
    Average: 8.7
    9.4
    Identification
    Average: 8.8
    9.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    WinPure
    Year Founded
    2004
    HQ Location
    Theale, Berkshire
    Twitter
    @WinPure
    2,234 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Clean & Match Enterprise is the top-rated desktop platform for data quality management – powered with AI data matching for easy & efficient data cleaning, deduplication, & transformation.T

Users
No information available
Industries
  • Marketing and Advertising
  • Health, Wellness and Fitness
Market Segment
  • 43% Small-Business
  • 35% Mid-Market
WinPure Clean & Match Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
1
Data Quality
1
Duplicate Management
1
Ease of Use
1
Easy Access
1
Cons
This product has not yet received any negative sentiments.
WinPure Clean & Match features and usability ratings that predict user satisfaction
9.4
Quality of Support
Average: 8.8
9.4
Automation
Average: 8.7
9.4
Identification
Average: 8.8
9.8
Preventative Cleaning
Average: 8.4
Seller Details
Seller
WinPure
Year Founded
2004
HQ Location
Theale, Berkshire
Twitter
@WinPure
2,234 Twitter followers
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structu

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 55% Enterprise
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Telmai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    5
    Anomaly Detection
    3
    Automation
    3
    Efficiency Improvement
    3
    Monitoring
    3
    Cons
    Learning Difficulty
    2
    Limited Functionality
    2
    UX Improvement
    2
    Difficult Learning Curve
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Telmai features and usability ratings that predict user satisfaction
    9.2
    Quality of Support
    Average: 8.8
    8.8
    Automation
    Average: 8.7
    9.1
    Identification
    Average: 8.8
    7.7
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Telmai
    Year Founded
    2020
    HQ Location
    San Mateo , Ca
    Twitter
    @telmai1
    102 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structu

Users
No information available
Industries
  • Computer Software
Market Segment
  • 55% Enterprise
  • 32% Mid-Market
Telmai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
5
Anomaly Detection
3
Automation
3
Efficiency Improvement
3
Monitoring
3
Cons
Learning Difficulty
2
Limited Functionality
2
UX Improvement
2
Difficult Learning Curve
1
Expensive
1
Telmai features and usability ratings that predict user satisfaction
9.2
Quality of Support
Average: 8.8
8.8
Automation
Average: 8.7
9.1
Identification
Average: 8.8
7.7
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Telmai
Year Founded
2020
HQ Location
San Mateo , Ca
Twitter
@telmai1
102 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Syncari is an AI-ready, Agentic MDM platform that unifies, governs, and activates trusted data across all your systems, domains, and cloud infrastructure. Built for enterprises navigating the complexi

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Mid-Market
    • 44% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Syncari Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    2
    Analytics
    1
    Analytics Tools
    1
    Automation
    1
    Automation Features
    1
    Cons
    Complex Implementation
    1
    Complex Onboarding
    1
    Data Management Issues
    1
    Initial User Difficulty
    1
    Insufficient Training
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Syncari features and usability ratings that predict user satisfaction
    9.9
    Quality of Support
    Average: 8.8
    9.7
    Automation
    Average: 8.7
    9.4
    Identification
    Average: 8.8
    9.4
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Syncari
    Year Founded
    2019
    HQ Location
    Newark, California
    Twitter
    @syncari
    232 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    49 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Syncari is an AI-ready, Agentic MDM platform that unifies, governs, and activates trusted data across all your systems, domains, and cloud infrastructure. Built for enterprises navigating the complexi

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Mid-Market
  • 44% Small-Business
Syncari Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Analytics
1
Analytics Tools
1
Automation
1
Automation Features
1
Cons
Complex Implementation
1
Complex Onboarding
1
Data Management Issues
1
Initial User Difficulty
1
Insufficient Training
1
Syncari features and usability ratings that predict user satisfaction
9.9
Quality of Support
Average: 8.8
9.7
Automation
Average: 8.7
9.4
Identification
Average: 8.8
9.4
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Syncari
Year Founded
2019
HQ Location
Newark, California
Twitter
@syncari
232 Twitter followers
LinkedIn® Page
www.linkedin.com
49 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    We help customers plan, implement, and govern their event-driven infrastructure.

    Users
    No information available
    Industries
    • Financial Services
    Market Segment
    • 55% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Avo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Lineage
    2
    Ease of Use
    2
    Comprehensive Overview
    1
    Customer Support
    1
    Data Management
    1
    Cons
    Complex Setup
    1
    Difficult Setup
    1
    Learning Difficulty
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Avo features and usability ratings that predict user satisfaction
    9.6
    Quality of Support
    Average: 8.8
    6.7
    Automation
    Average: 8.7
    8.8
    Identification
    Average: 8.8
    7.9
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Avo
    Year Founded
    2018
    HQ Location
    Walnut, US
    Twitter
    @avohq
    730 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    34 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We help customers plan, implement, and govern their event-driven infrastructure.

Users
No information available
Industries
  • Financial Services
Market Segment
  • 55% Mid-Market
  • 32% Small-Business
Avo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Lineage
2
Ease of Use
2
Comprehensive Overview
1
Customer Support
1
Data Management
1
Cons
Complex Setup
1
Difficult Setup
1
Learning Difficulty
1
Steep Learning Curve
1
Avo features and usability ratings that predict user satisfaction
9.6
Quality of Support
Average: 8.8
6.7
Automation
Average: 8.7
8.8
Identification
Average: 8.8
7.9
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Avo
Year Founded
2018
HQ Location
Walnut, US
Twitter
@avohq
730 Twitter followers
LinkedIn® Page
www.linkedin.com
34 employees on LinkedIn®
(47)4.4 out of 5
Optimized for quick response
Save to My Lists
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Sifflet is a comprehensive data observability solution designed to assist data engineers and data consumers in gaining complete visibility into their data stacks. This platform can be deployed as a So

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 77% Mid-Market
    • 23% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Sifflet Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Efficiency Improvement
    32
    Monitoring
    31
    Data Lineage
    30
    Ease of Use
    29
    Alerting System
    27
    Cons
    Limited Customization
    13
    Complex Setup
    10
    Limited Integration
    10
    Alert Management
    8
    Lineage Issues
    8
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Sifflet features and usability ratings that predict user satisfaction
    9.0
    Quality of Support
    Average: 8.8
    9.2
    Automation
    Average: 8.7
    9.2
    Identification
    Average: 8.8
    7.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Sifflet
    Company Website
    Year Founded
    2021
    HQ Location
    Paris, Ile-de-France
    Twitter
    @Siffletdata
    394 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    48 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Sifflet is a comprehensive data observability solution designed to assist data engineers and data consumers in gaining complete visibility into their data stacks. This platform can be deployed as a So

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 77% Mid-Market
  • 23% Enterprise
Sifflet Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Efficiency Improvement
32
Monitoring
31
Data Lineage
30
Ease of Use
29
Alerting System
27
Cons
Limited Customization
13
Complex Setup
10
Limited Integration
10
Alert Management
8
Lineage Issues
8
Sifflet features and usability ratings that predict user satisfaction
9.0
Quality of Support
Average: 8.8
9.2
Automation
Average: 8.7
9.2
Identification
Average: 8.8
7.5
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Sifflet
Company Website
Year Founded
2021
HQ Location
Paris, Ile-de-France
Twitter
@Siffletdata
394 Twitter followers
LinkedIn® Page
www.linkedin.com
48 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Hospital & Health Care
    Market Segment
    • 35% Enterprise
    • 35% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx Designer Cloud features and usability ratings that predict user satisfaction
    8.6
    Quality of Support
    Average: 8.8
    9.2
    Automation
    Average: 8.7
    8.8
    Identification
    Average: 8.8
    8.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,276 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,265 employees on LinkedIn®
    Ownership
    Private
Product Description
How are these determined?Information
This description is provided by the seller.

Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for a

Users
No information available
Industries
  • Information Technology and Services
  • Hospital & Health Care
Market Segment
  • 35% Enterprise
  • 35% Small-Business
Alteryx Designer Cloud features and usability ratings that predict user satisfaction
8.6
Quality of Support
Average: 8.8
9.2
Automation
Average: 8.7
8.8
Identification
Average: 8.8
8.5
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Alteryx
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,276 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
Ownership
Private
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cleanlab solves the biggest challenge in AI agents: reliability. Our platform equips your team with the tools to make agents production-ready, detecting low-quality outputs, identifying root causes, i

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 38% Mid-Market
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Cleanlab Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Easy Integrations
    5
    Error Detection
    4
    Data Cleaning
    3
    Ease of Use
    3
    Time-saving
    3
    Cons
    Difficult Setup
    3
    Expensive
    2
    Slow Performance
    2
    Complexity
    1
    Dependency Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cleanlab features and usability ratings that predict user satisfaction
    8.3
    Quality of Support
    Average: 8.8
    9.1
    Automation
    Average: 8.7
    9.1
    Identification
    Average: 8.8
    8.5
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cleanlab
    HQ Location
    San Francisco, US
    LinkedIn® Page
    www.linkedin.com
    48 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cleanlab solves the biggest challenge in AI agents: reliability. Our platform equips your team with the tools to make agents production-ready, detecting low-quality outputs, identifying root causes, i

Users
No information available
Industries
No information available
Market Segment
  • 38% Mid-Market
  • 38% Small-Business
Cleanlab Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Easy Integrations
5
Error Detection
4
Data Cleaning
3
Ease of Use
3
Time-saving
3
Cons
Difficult Setup
3
Expensive
2
Slow Performance
2
Complexity
1
Dependency Issues
1
Cleanlab features and usability ratings that predict user satisfaction
8.3
Quality of Support
Average: 8.8
9.1
Automation
Average: 8.7
9.1
Identification
Average: 8.8
8.5
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Cleanlab
HQ Location
San Francisco, US
LinkedIn® Page
www.linkedin.com
48 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    beVault is a cutting-edge data warehouse automation software designed to accelerate the deployment of your data warehouse or data platform by up to five times using the Data Vault 2.0 methodology. By

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 64% Mid-Market
    • 27% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • beVault (formerly dataFactory) Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Data Accuracy
    5
    Ease of Use
    5
    Data Quality
    4
    Automation
    3
    Customer Support
    3
    Cons
    Difficulty Learning
    3
    Integration Issues
    2
    Steep Learning Curve
    2
    Complex Implementation
    1
    Complexity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • beVault (formerly dataFactory) features and usability ratings that predict user satisfaction
    9.6
    Quality of Support
    Average: 8.8
    8.7
    Automation
    Average: 8.7
    8.6
    Identification
    Average: 8.8
    8.1
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    dFakto
    Year Founded
    2000
    HQ Location
    Etterbeek, BE
    LinkedIn® Page
    www.linkedin.com
    37 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

beVault is a cutting-edge data warehouse automation software designed to accelerate the deployment of your data warehouse or data platform by up to five times using the Data Vault 2.0 methodology. By

Users
No information available
Industries
No information available
Market Segment
  • 64% Mid-Market
  • 27% Small-Business
beVault (formerly dataFactory) Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Data Accuracy
5
Ease of Use
5
Data Quality
4
Automation
3
Customer Support
3
Cons
Difficulty Learning
3
Integration Issues
2
Steep Learning Curve
2
Complex Implementation
1
Complexity
1
beVault (formerly dataFactory) features and usability ratings that predict user satisfaction
9.6
Quality of Support
Average: 8.8
8.7
Automation
Average: 8.7
8.6
Identification
Average: 8.8
8.1
Preventative Cleaning
Average: 8.4
Seller Details
Seller
dFakto
Year Founded
2000
HQ Location
Etterbeek, BE
LinkedIn® Page
www.linkedin.com
37 employees on LinkedIn®
(41)4.4 out of 5
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Anomalo is the AI-powered data quality platform that automatically detects, alerts, and helps resolve data issues before they impact analytics, reporting, or AI models. Built for modern enterprises, A

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 49% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Anomalo features and usability ratings that predict user satisfaction
    9.0
    Quality of Support
    Average: 8.8
    7.8
    Automation
    Average: 8.7
    8.7
    Identification
    Average: 8.8
    6.9
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Anomalo
    Company Website
    Year Founded
    2018
    HQ Location
    N/A
    Twitter
    @anomalo_hq
    544 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    99 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Anomalo is the AI-powered data quality platform that automatically detects, alerts, and helps resolve data issues before they impact analytics, reporting, or AI models. Built for modern enterprises, A

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 49% Enterprise
  • 49% Mid-Market
Anomalo features and usability ratings that predict user satisfaction
9.0
Quality of Support
Average: 8.8
7.8
Automation
Average: 8.7
8.7
Identification
Average: 8.8
6.9
Preventative Cleaning
Average: 8.4
Seller Details
Seller
Anomalo
Company Website
Year Founded
2018
HQ Location
N/A
Twitter
@anomalo_hq
544 Twitter followers
LinkedIn® Page
www.linkedin.com
99 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    With over 3,000 global customers, TimeXtender offers a comprehensive suite of products including Data Integration, Master Data Management, Data Quality, and Orchestration. These tools enable organizat

    Users
    • Business Intelligence Consultant
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Mid-Market
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TimeXtender Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    66
    Customer Support
    32
    Automation
    25
    Simple
    23
    Time-saving
    22
    Cons
    Limitations
    18
    Data Management
    17
    Poor Documentation
    13
    Steep Learning Curve
    10
    Error Reporting
    9
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TimeXtender features and usability ratings that predict user satisfaction
    8.9
    Quality of Support
    Average: 8.8
    7.2
    Automation
    Average: 8.7
    8.3
    Identification
    Average: 8.8
    7.8
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2006
    HQ Location
    Aarhus, Denmark
    Twitter
    @TimeXtender
    17,730 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    89 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

With over 3,000 global customers, TimeXtender offers a comprehensive suite of products including Data Integration, Master Data Management, Data Quality, and Orchestration. These tools enable organizat

Users
  • Business Intelligence Consultant
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Mid-Market
  • 32% Small-Business
TimeXtender Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
66
Customer Support
32
Automation
25
Simple
23
Time-saving
22
Cons
Limitations
18
Data Management
17
Poor Documentation
13
Steep Learning Curve
10
Error Reporting
9
TimeXtender features and usability ratings that predict user satisfaction
8.9
Quality of Support
Average: 8.8
7.2
Automation
Average: 8.7
8.3
Identification
Average: 8.8
7.8
Preventative Cleaning
Average: 8.4
Seller Details
Company Website
Year Founded
2006
HQ Location
Aarhus, Denmark
Twitter
@TimeXtender
17,730 Twitter followers
LinkedIn® Page
www.linkedin.com
89 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables

    Users
    No information available
    Industries
    • Higher Education
    Market Segment
    • 52% Enterprise
    • 26% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Data Management Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    12
    Analytics
    5
    Data Cleaning
    4
    Data Quality
    4
    Data Management
    3
    Cons
    Expensive
    7
    Not User-Friendly
    3
    Slow Performance
    3
    Training Required
    3
    Complexity
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Data Management features and usability ratings that predict user satisfaction
    7.9
    Quality of Support
    Average: 8.8
    8.2
    Automation
    Average: 8.7
    8.8
    Identification
    Average: 8.8
    8.3
    Preventative Cleaning
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,097 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,238 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables

Users
No information available
Industries
  • Higher Education
Market Segment
  • 52% Enterprise
  • 26% Small-Business
SAS Data Management Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
12
Analytics
5
Data Cleaning
4
Data Quality
4
Data Management
3
Cons
Expensive
7
Not User-Friendly
3
Slow Performance
3
Training Required
3
Complexity
2
SAS Data Management features and usability ratings that predict user satisfaction
7.9
Quality of Support
Average: 8.8
8.2
Automation
Average: 8.7
8.8
Identification
Average: 8.8
8.3
Preventative Cleaning
Average: 8.4
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,097 Twitter followers
LinkedIn® Page
www.linkedin.com
18,238 employees on LinkedIn®
Phone
1-800-727-0025