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Best Data Preparation Tools and Software - Page 4

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Data preparation software tools assists in the process of discovering, blending, combining, cleansing, enriching, and transforming data so large datasets can be easily integrated, consumed, and analyzed with business intelligence and analytics solutions. Data preparation tools provide IT departments, data analysts, data scientists, and average business users a platform to integrate disparate data sources in a quick and efficient way. It makes for a much smoother analysis experience when businesses attempt to extract actionable insights from their data. Many data preparation solutions offer the functionality of data governance software, metadata management, and machine learning features. Data preparation is necessary to improve data quality.

Data preparation services are used by data-driven companies that empower their employees to explore business data to enhance decision making and drive productive change. Data preparation platforms integrates with analytics platforms and other analytics tools to clean datasets that can be easily understood and acted upon. The integration with intelligence and analytical software helps in the actual analysis of the data. Data preparation tools may also be used in conjunction with data integration software to make it easier when combining data sources.

Many business intelligence platforms and self-service business intelligence software have data preparation capabilities. Additionally, data preparation functionality can be included in data quality software.

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

Provide data preparation capabilities such as blending, combining, and transforming datasets for simple analysis and integration
Provide cleansing and enrichment capabilities for a higher level of data quality
Offer integrations with analytics and data integration solutions
Exist as standalone software or in integration with an analytics platform, with clear mention of data preparation capabilities
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Featured Data Preparation Software 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.

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96 Listings in Data Preparation Available
Entry Level Price:$360 Month
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Self-service data preparation with Paxata, a DataRobot company, provides both novice and expert users with the ability to visually and interactively explore, profile, transform, and shape diverse data

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 63% Enterprise
    • 38% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Paxata 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
    AI Modeling
    1
    Connectivity
    1
    Data Preparation
    1
    Ease of Use
    1
    User Interface
    1
    Cons
    Expensive
    1
    Performance Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Paxata features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Data Workflows
    Average: 8.8
    8.8
    Profiling and Classification
    Average: 8.5
    9.6
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataRobot
    Year Founded
    2012
    HQ Location
    Boston, Massachusetts
    Twitter
    @DataRobot
    19,365 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    836 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Self-service data preparation with Paxata, a DataRobot company, provides both novice and expert users with the ability to visually and interactively explore, profile, transform, and shape diverse data

Users
No information available
Industries
No information available
Market Segment
  • 63% Enterprise
  • 38% Small-Business
Paxata 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
AI Modeling
1
Connectivity
1
Data Preparation
1
Ease of Use
1
User Interface
1
Cons
Expensive
1
Performance Issues
1
Paxata features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
9.2
Data Workflows
Average: 8.8
8.8
Profiling and Classification
Average: 8.5
9.6
Data Joining
Average: 8.8
Seller Details
Seller
DataRobot
Year Founded
2012
HQ Location
Boston, Massachusetts
Twitter
@DataRobot
19,365 Twitter followers
LinkedIn® Page
www.linkedin.com
836 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Supersimple is a self-service business intelligence platform for SaaS companies that lets anyone answer complex data questions in minutes. Not just build dashboards. The real value in data doesn't

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Supersimple 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
    16
    Useful
    9
    Insights
    6
    Time-saving
    5
    AI Integration
    4
    Cons
    Expensive Pricing
    5
    Expensive
    4
    Learning Curve
    2
    Learning Difficulty
    2
    Limited Options
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Supersimple features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Supersimple is a self-service business intelligence platform for SaaS companies that lets anyone answer complex data questions in minutes. Not just build dashboards. The real value in data doesn't

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 28% Mid-Market
Supersimple 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
16
Useful
9
Insights
6
Time-saving
5
AI Integration
4
Cons
Expensive Pricing
5
Expensive
4
Learning Curve
2
Learning Difficulty
2
Limited Options
2
Supersimple features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2021
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®

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  • Overview
    Expand/Collapse Overview
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Seller Details
    Expand/Collapse Seller Details
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Informatica Enterprise Data Preparation empowers data scientists and data analysts to rapidly discover, enrich, cleanse, and govern data pipelines for faster insights.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 30% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Informatica Enterprise Data Preparation features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 9.0
    6.7
    Data Workflows
    Average: 8.8
    7.9
    Profiling and Classification
    Average: 8.5
    9.4
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1993
    HQ Location
    Redwood City, CA
    Twitter
    @Informatica
    100,080 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,370 employees on LinkedIn®
    Ownership
    NYSE: INFA
Product Description
How are these determined?Information
This description is provided by the seller.

Informatica Enterprise Data Preparation empowers data scientists and data analysts to rapidly discover, enrich, cleanse, and govern data pipelines for faster insights.

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 30% Small-Business
Informatica Enterprise Data Preparation features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 9.0
6.7
Data Workflows
Average: 8.8
7.9
Profiling and Classification
Average: 8.5
9.4
Data Joining
Average: 8.8
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
100,080 Twitter followers
LinkedIn® Page
www.linkedin.com
5,370 employees on LinkedIn®
Ownership
NYSE: INFA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Querri is an AI-powered data platform designed to make data insights accessible and effortless for everyone, regardless of technical expertise. It enables users to clean, transform, analyze, and autom

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 43% Mid-Market
    • 43% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Querri 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
    6
    Analysis
    2
    Charting Features
    2
    Intuitive
    2
    Learning
    2
    Cons
    Slow Loading
    3
    Data Management
    2
    Performance Issues
    2
    Dependency Issues
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Querri features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 9.0
    7.2
    Data Workflows
    Average: 8.8
    6.9
    Profiling and Classification
    Average: 8.5
    7.8
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Querri
    Year Founded
    2023
    HQ Location
    Charleston, US
    LinkedIn® Page
    www.linkedin.com
    13 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Querri is an AI-powered data platform designed to make data insights accessible and effortless for everyone, regardless of technical expertise. It enables users to clean, transform, analyze, and autom

Users
No information available
Industries
No information available
Market Segment
  • 43% Mid-Market
  • 43% Small-Business
Querri 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
6
Analysis
2
Charting Features
2
Intuitive
2
Learning
2
Cons
Slow Loading
3
Data Management
2
Performance Issues
2
Dependency Issues
1
Expensive
1
Querri features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 9.0
7.2
Data Workflows
Average: 8.8
6.9
Profiling and Classification
Average: 8.5
7.8
Data Joining
Average: 8.8
Seller Details
Seller
Querri
Year Founded
2023
HQ Location
Charleston, US
LinkedIn® Page
www.linkedin.com
13 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SCIKIQ is a no-code/low-code artificial intelligence (AI) platform designed to help enterprises transform their scattered data into an AI-ready foundation. This innovative solution allows organization

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Small-Business
    • 36% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Scikiq: Comprehensive Data Management Platform 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
    Data Management
    4
    Functionality
    4
    Intuitive
    3
    User Interface
    3
    Cons
    Complexity Issues
    2
    Integration Issues
    2
    Complexity
    1
    Data Management
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Scikiq: Comprehensive Data Management Platform features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SCIKIQ
    Company Website
    Year Founded
    2023
    HQ Location
    Gurgaon
    Twitter
    @scikiq
    8 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    32 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SCIKIQ is a no-code/low-code artificial intelligence (AI) platform designed to help enterprises transform their scattered data into an AI-ready foundation. This innovative solution allows organization

Users
No information available
Industries
No information available
Market Segment
  • 36% Small-Business
  • 36% Enterprise
Scikiq: Comprehensive Data Management Platform 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
Data Management
4
Functionality
4
Intuitive
3
User Interface
3
Cons
Complexity Issues
2
Integration Issues
2
Complexity
1
Data Management
1
Expensive
1
Scikiq: Comprehensive Data Management Platform features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
SCIKIQ
Company Website
Year Founded
2023
HQ Location
Gurgaon
Twitter
@scikiq
8 Twitter followers
LinkedIn® Page
www.linkedin.com
32 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BUCS is an end-to-end data management platform built by experienced FP&A consultants to streamline data consolidation, transformation and reporting for better decision-making. With over 150 c

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Mid-Market
    • 30% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • BUCS 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
    Collaboration
    4
    Customer Support
    4
    Data Integration
    3
    Ease of Use
    3
    Easy Integrations
    3
    Cons
    API Issues
    1
    Data Management Issues
    1
    Dependency Issues
    1
    Lack of Real-Time Data
    1
    Sync Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • BUCS features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Data Workflows
    Average: 8.8
    8.3
    Profiling and Classification
    Average: 8.5
    8.8
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    Kansas City, US
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BUCS is an end-to-end data management platform built by experienced FP&A consultants to streamline data consolidation, transformation and reporting for better decision-making. With over 150 c

Users
No information available
Industries
No information available
Market Segment
  • 40% Mid-Market
  • 30% Enterprise
BUCS 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
Collaboration
4
Customer Support
4
Data Integration
3
Ease of Use
3
Easy Integrations
3
Cons
API Issues
1
Data Management Issues
1
Dependency Issues
1
Lack of Real-Time Data
1
Sync Issues
1
BUCS features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
8.3
Data Workflows
Average: 8.8
8.3
Profiling and Classification
Average: 8.5
8.8
Data Joining
Average: 8.8
Seller Details
Year Founded
2016
HQ Location
Kansas City, US
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
(16)4.3 out of 5
View top Consulting Services for Google Cloud Dataprep
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Cloud Dataprep is serverless and works at any scale.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 63% Small-Business
    • 19% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Dataprep features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Data Workflows
    Average: 8.8
    10.0
    Profiling and Classification
    Average: 8.5
    10.0
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,508,752 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Cloud Dataprep is serverless and works at any scale.

Users
No information available
Industries
No information available
Market Segment
  • 63% Small-Business
  • 19% Enterprise
Google Cloud Dataprep features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 9.0
8.3
Data Workflows
Average: 8.8
10.0
Profiling and Classification
Average: 8.5
10.0
Data Joining
Average: 8.8
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,508,752 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(5)4.8 out of 5
View top Consulting Services for SAP Agile Data Preparation
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Drive more successful analytics, data migration, and master data management (MDM) initiatives with the SAP Agile Data Preparation application. Quickly transform your data into actionable, easily consu

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Enterprise
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP Agile Data Preparation 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
    Automation
    1
    Data Quality
    1
    Easy Integrations
    1
    Insights
    1
    Cons
    Learning Curve
    1
    Learning Difficulty
    1
    Performance Issues
    1
    Steep Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Agile Data Preparation features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Data Workflows
    Average: 8.8
    8.7
    Profiling and Classification
    Average: 8.5
    8.0
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,344 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    135,108 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

Drive more successful analytics, data migration, and master data management (MDM) initiatives with the SAP Agile Data Preparation application. Quickly transform your data into actionable, easily consu

Users
No information available
Industries
No information available
Market Segment
  • 60% Enterprise
  • 40% Mid-Market
SAP Agile Data Preparation 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
Automation
1
Data Quality
1
Easy Integrations
1
Insights
1
Cons
Learning Curve
1
Learning Difficulty
1
Performance Issues
1
Steep Learning Curve
1
SAP Agile Data Preparation features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
8.3
Data Workflows
Average: 8.8
8.7
Profiling and Classification
Average: 8.5
8.0
Data Joining
Average: 8.8
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,344 Twitter followers
LinkedIn® Page
www.linkedin.com
135,108 employees on LinkedIn®
Ownership
NYSE:SAP
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Match Data Pro, our core focus is data matching and entity resolution — but our platform goes far beyond that: We’ve built MDP to empower organizations with a smarter, scalable, and secure envir

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Match Data Pro 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 Cleaning
    3
    Ease of Use
    3
    Learning
    3
    Automation
    2
    Customer Support
    2
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Match Data Pro features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    10.0
    Data Workflows
    Average: 8.8
    10.0
    Profiling and Classification
    Average: 8.5
    10.0
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2023
    HQ Location
    Dover, US
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Match Data Pro, our core focus is data matching and entity resolution — but our platform goes far beyond that: We’ve built MDP to empower organizations with a smarter, scalable, and secure envir

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 25% Mid-Market
Match Data Pro 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 Cleaning
3
Ease of Use
3
Learning
3
Automation
2
Customer Support
2
Cons
This product has not yet received any negative sentiments.
Match Data Pro features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
10.0
Data Workflows
Average: 8.8
10.0
Profiling and Classification
Average: 8.5
10.0
Data Joining
Average: 8.8
Seller Details
Year Founded
2023
HQ Location
Dover, US
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Globalization and the emergence of new applications demand accurate correlations between entity records, which have been expressed with different schemas, formats, fields, and attributes. In a private

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 80% Small-Business
    • 20% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CUBO iQ® Enterprise features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    6.7
    Data Workflows
    Average: 8.8
    6.7
    Profiling and Classification
    Average: 8.5
    6.7
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Bogotá, CO
    LinkedIn® Page
    linkedin.com
    13 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Globalization and the emergence of new applications demand accurate correlations between entity records, which have been expressed with different schemas, formats, fields, and attributes. In a private

Users
No information available
Industries
No information available
Market Segment
  • 80% Small-Business
  • 20% Mid-Market
CUBO iQ® Enterprise features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
6.7
Data Workflows
Average: 8.8
6.7
Profiling and Classification
Average: 8.5
6.7
Data Joining
Average: 8.8
Seller Details
Year Founded
2019
HQ Location
Bogotá, CO
LinkedIn® Page
linkedin.com
13 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Duco is a leading data automation company that helps businesses to unleash their potential by removing the friction around data. Over 10,000 users across 30+ countries process billions of data records

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Duco features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Duco
    Year Founded
    2010
    HQ Location
    London, GB
    Twitter
    @ducotweets
    530 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    255 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Duco is a leading data automation company that helps businesses to unleash their potential by removing the friction around data. Over 10,000 users across 30+ countries process billions of data records

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
Duco features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Duco
Year Founded
2010
HQ Location
London, GB
Twitter
@ducotweets
530 Twitter followers
LinkedIn® Page
www.linkedin.com
255 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Infoveave is a data automation and decision intelligence platform that helps organizations manage and utilize their data securely and efficiently. By integrating multiple data sources and automating w

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Infoveave features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @infoveave
    14 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Infoveave is a data automation and decision intelligence platform that helps organizations manage and utilize their data securely and efficiently. By integrating multiple data sources and automating w

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
Infoveave features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
HQ Location
N/A
Twitter
@infoveave
14 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for la

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Superb AI Suite features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    10.0
    Data Workflows
    Average: 8.8
    9.4
    Profiling and Classification
    Average: 8.5
    9.4
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    San Mateo , US
    Twitter
    @superb_hq
    425 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    57 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Superb AI provides the most advanced computer vision platform that makes data preparation, curation and model deployment faster and easier than ever before. Specializing in adaptable automation for la

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 50% Small-Business
Superb AI Suite features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
10.0
Data Workflows
Average: 8.8
9.4
Profiling and Classification
Average: 8.5
9.4
Data Joining
Average: 8.8
Seller Details
Year Founded
2018
HQ Location
San Mateo , US
Twitter
@superb_hq
425 Twitter followers
LinkedIn® Page
www.linkedin.com
57 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Talend Data Preparation combines intuitive self-service data preparation and data curation tools with data integration to accelerate data usage across the organization.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Talend Data Preparation features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    64,559 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,564 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

Talend Data Preparation combines intuitive self-service data preparation and data curation tools with data integration to accelerate data usage across the organization.

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
Talend Data Preparation features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
64,559 Twitter followers
LinkedIn® Page
www.linkedin.com
4,564 employees on LinkedIn®
Phone
1 (888) 994-9854

Frequently asked questions about Data Preparation Software

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