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Best Data Preparation Tools and Software - Page 3

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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97 Listings in Data Preparation Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OneSchema automates CSV & PDF workflows with AI. Enterprise operations, IT, and data engineering teams use OneSchema to replace brittle scripts and save countless hours of time manually cleaning m

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 44% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OneSchema 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
    Customization
    1
    Ease of Use
    1
    Helpful
    1
    Cons
    Limited Customization
    1
    Poor Interface Design
    1
    Poor User Experience
    1
    UX Improvement
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OneSchema features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Data Workflows
    Average: 8.8
    8.4
    Profiling and Classification
    Average: 8.5
    8.8
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OneSchema
    Year Founded
    2021
    HQ Location
    San Francisco, California
    Twitter
    @oneschema_co
    221 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

OneSchema automates CSV & PDF workflows with AI. Enterprise operations, IT, and data engineering teams use OneSchema to replace brittle scripts and save countless hours of time manually cleaning m

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Small-Business
  • 44% Mid-Market
OneSchema 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
Customization
1
Ease of Use
1
Helpful
1
Cons
Limited Customization
1
Poor Interface Design
1
Poor User Experience
1
UX Improvement
1
OneSchema features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 9.0
9.2
Data Workflows
Average: 8.8
8.4
Profiling and Classification
Average: 8.5
8.8
Data Joining
Average: 8.8
Seller Details
Seller
OneSchema
Year Founded
2021
HQ Location
San Francisco, California
Twitter
@oneschema_co
221 Twitter followers
LinkedIn® Page
www.linkedin.com
19 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Discover the story behind your data with Wyn Enterprise. Wyn Enterprise is a seamless embedded business intelligence platform that provides BI reporting, interactive dashboards, scheduling, and dis

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 53% Small-Business
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • wynEnterprise 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
    5
    Flexibility
    5
    Customization
    4
    Ease of Use
    4
    Easy Integrations
    4
    Cons
    Poor Documentation
    2
    Bugs
    1
    Lack of Tutorials
    1
    Missing Features
    1
    Slow Loading
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • wynEnterprise features and usability ratings that predict user satisfaction
    9.7
    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
    Company Website
    Year Founded
    2018
    HQ Location
    7400 Beaufont Springs Dr., St 300, Richmond VA 23225
    LinkedIn® Page
    www.linkedin.com
    22 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Discover the story behind your data with Wyn Enterprise. Wyn Enterprise is a seamless embedded business intelligence platform that provides BI reporting, interactive dashboards, scheduling, and dis

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 53% Small-Business
  • 37% Mid-Market
wynEnterprise 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
5
Flexibility
5
Customization
4
Ease of Use
4
Easy Integrations
4
Cons
Poor Documentation
2
Bugs
1
Lack of Tutorials
1
Missing Features
1
Slow Loading
1
wynEnterprise features and usability ratings that predict user satisfaction
9.7
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
Company Website
Year Founded
2018
HQ Location
7400 Beaufont Springs Dr., St 300, Richmond VA 23225
LinkedIn® Page
www.linkedin.com
22 employees on LinkedIn®
G2 Advertising
Sponsored
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Seamlessly access more than 50 data sources both on premises and in the cloud and switch between these data sources with near-zero transition times. Connect, query and prepare data for faster busines

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 62% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Toad Data Point features and usability ratings that predict user satisfaction
    7.1
    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
    1987
    HQ Location
    Austin, TX
    Twitter
    @Quest
    17,175 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,607 employees on LinkedIn®
    Ownership
    NYSE: DGX
Product Description
How are these determined?Information
This description is provided by the seller.

Seamlessly access more than 50 data sources both on premises and in the cloud and switch between these data sources with near-zero transition times. Connect, query and prepare data for faster busines

Users
No information available
Industries
No information available
Market Segment
  • 62% Enterprise
  • 33% Mid-Market
Toad Data Point features and usability ratings that predict user satisfaction
7.1
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
1987
HQ Location
Austin, TX
Twitter
@Quest
17,175 Twitter followers
LinkedIn® Page
www.linkedin.com
3,607 employees on LinkedIn®
Ownership
NYSE: DGX
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --> ht

    Users
    • Software Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Databand 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
    Anomaly Detection
    2
    Monitoring
    2
    Automation
    1
    Dashboard Customization
    1
    Data Management
    1
    Cons
    Learning Difficulty
    3
    Limited Features
    3
    Expensive
    2
    Integration Issues
    2
    Missing Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Databand features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.8
    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
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,081 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.

Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --> ht

Users
  • Software Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Mid-Market
  • 33% Enterprise
IBM Databand 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
Anomaly Detection
2
Monitoring
2
Automation
1
Dashboard Customization
1
Data Management
1
Cons
Learning Difficulty
3
Limited Features
3
Expensive
2
Integration Issues
2
Missing Features
2
IBM Databand features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.8
Data Workflows
Average: 8.8
8.3
Profiling and Classification
Average: 8.5
8.8
Data Joining
Average: 8.8
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,081 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.

    Lightly helps machine learning teams to build better models through better data. It allows companies to select the right data for model training by using active learning. Intelligently select the be

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 27% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Lightly 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
    8
    Performance Speed
    4
    Time-saving
    4
    AI Modeling
    3
    Features
    3
    Cons
    Learning Difficulty
    3
    Data Management
    2
    Dependency Issues
    1
    Expensive
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Lightly features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Data Workflows
    Average: 8.8
    8.3
    Profiling and Classification
    Average: 8.5
    8.5
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Lightly
    Year Founded
    2019
    HQ Location
    Zurich, CH
    LinkedIn® Page
    www.linkedin.com
    29 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Lightly helps machine learning teams to build better models through better data. It allows companies to select the right data for model training by using active learning. Intelligently select the be

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 27% Small-Business
Lightly 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
8
Performance Speed
4
Time-saving
4
AI Modeling
3
Features
3
Cons
Learning Difficulty
3
Data Management
2
Dependency Issues
1
Expensive
1
Learning Curve
1
Lightly features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 9.0
9.2
Data Workflows
Average: 8.8
8.3
Profiling and Classification
Average: 8.5
8.5
Data Joining
Average: 8.8
Seller Details
Seller
Lightly
Year Founded
2019
HQ Location
Zurich, CH
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®
(31)4.6 out of 5
15th Easiest To Use in Data Preparation software
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
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Data Workflows
    Average: 8.8
    8.9
    Profiling and Classification
    Average: 8.5
    9.6
    Data Joining
    Average: 8.8
  • 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
10.0
Has the product been a good partner in doing business?
Average: 9.0
9.2
Data Workflows
Average: 8.8
8.9
Profiling and Classification
Average: 8.5
9.6
Data Joining
Average: 8.8
Seller Details
Seller
Flatfile
Year Founded
2018
HQ Location
Denver, Colorado
LinkedIn® Page
www.linkedin.com
43 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Astera ReportMiner, an unstructured data management tool, provides a complete solution for end-to-end data ingestion and integration for unstructured data sources. ReportMiner enables you to liberate

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 41% Mid-Market
    • 41% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Astera ReportMiner features and usability ratings that predict user satisfaction
    9.2
    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
    Simi Valley, CA
    Twitter
    @AsteraSoftware
    2,257 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    149 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Astera ReportMiner, an unstructured data management tool, provides a complete solution for end-to-end data ingestion and integration for unstructured data sources. ReportMiner enables you to liberate

Users
No information available
Industries
No information available
Market Segment
  • 41% Mid-Market
  • 41% Small-Business
Astera ReportMiner features and usability ratings that predict user satisfaction
9.2
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
Simi Valley, CA
Twitter
@AsteraSoftware
2,257 Twitter followers
LinkedIn® Page
www.linkedin.com
149 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data en

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 63% Enterprise
    • 21% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datameer features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 9.0
    7.7
    Data Workflows
    Average: 8.8
    8.3
    Profiling and Classification
    Average: 8.5
    9.0
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Datameer
    Year Founded
    2009
    HQ Location
    San Francisco, CA
    Twitter
    @datameer
    11,251 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    168 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data en

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 63% Enterprise
  • 21% Mid-Market
Datameer features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 9.0
7.7
Data Workflows
Average: 8.8
8.3
Profiling and Classification
Average: 8.5
9.0
Data Joining
Average: 8.8
Seller Details
Seller
Datameer
Year Founded
2009
HQ Location
San Francisco, CA
Twitter
@datameer
11,251 Twitter followers
LinkedIn® Page
www.linkedin.com
168 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration. We offer VS Code in the browser for dbt development with the ability to inclu

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Enterprise
    • 33% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Datacoves 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
    3
    Continuous Improvement
    2
    Cost-Effective
    2
    Customization
    2
    Ease of Use
    2
    Cons
    Integration Issues
    2
    Learning Difficulty
    2
    Alert Overload
    1
    Complexity
    1
    Dashboard Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Datacoves features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Data Workflows
    Average: 8.8
    9.3
    Profiling and Classification
    Average: 8.5
    9.3
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Thousand Oaks, California
    Twitter
    @datacoves
    490 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration. We offer VS Code in the browser for dbt development with the ability to inclu

Users
No information available
Industries
No information available
Market Segment
  • 40% Enterprise
  • 33% Small-Business
Datacoves 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
3
Continuous Improvement
2
Cost-Effective
2
Customization
2
Ease of Use
2
Cons
Integration Issues
2
Learning Difficulty
2
Alert Overload
1
Complexity
1
Dashboard Issues
1
Datacoves features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.0
8.9
Data Workflows
Average: 8.8
9.3
Profiling and Classification
Average: 8.5
9.3
Data Joining
Average: 8.8
Seller Details
Year Founded
2021
HQ Location
Thousand Oaks, California
Twitter
@datacoves
490 Twitter followers
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.

    EasyMorph is a visual, no-code data automation tool designed to empower both business users and data engineers by simplifying complex data transformation and automation tasks. With its intuitive drag-

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 57% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • EasyMorph 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 Quality
    1
    Ease of Use
    1
    Performance Speed
    1
    Powerful
    1
    Cons
    System Instability
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EasyMorph features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 9.0
    8.5
    Data Workflows
    Average: 8.8
    8.0
    Profiling and Classification
    Average: 8.5
    8.3
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EasyMorph
    Year Founded
    2014
    HQ Location
    Toronto, Ontario
    Twitter
    @easy_morph
    248 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

EasyMorph is a visual, no-code data automation tool designed to empower both business users and data engineers by simplifying complex data transformation and automation tasks. With its intuitive drag-

Users
No information available
Industries
No information available
Market Segment
  • 57% Mid-Market
  • 36% Small-Business
EasyMorph 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 Quality
1
Ease of Use
1
Performance Speed
1
Powerful
1
Cons
System Instability
1
EasyMorph features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 9.0
8.5
Data Workflows
Average: 8.8
8.0
Profiling and Classification
Average: 8.5
8.3
Data Joining
Average: 8.8
Seller Details
Seller
EasyMorph
Year Founded
2014
HQ Location
Toronto, Ontario
Twitter
@easy_morph
248 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to ins

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 66% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Coginiti 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
    3
    Efficiency Improvement
    3
    Customer Support
    2
    Data Management
    2
    Easy Setup
    2
    Cons
    Poor Documentation
    2
    Search Functionality
    2
    Limited Customization
    1
    Slow Performance
    1
    Training Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Coginiti 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
    2020
    HQ Location
    Atlanta , GA
    Twitter
    @coginiti
    70 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    33 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to ins

Users
No information available
Industries
No information available
Market Segment
  • 66% Enterprise
  • 28% Mid-Market
Coginiti 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
3
Efficiency Improvement
3
Customer Support
2
Data Management
2
Easy Setup
2
Cons
Poor Documentation
2
Search Functionality
2
Limited Customization
1
Slow Performance
1
Training Required
1
Coginiti 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
2020
HQ Location
Atlanta , GA
Twitter
@coginiti
70 Twitter followers
LinkedIn® Page
www.linkedin.com
33 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Altair® Graph Studio™ (formerly Anzo) is a comprehensive data discovery and integration toolset that applies a semantic, graph-based data fabric layer over diverse enterprise data sources. This semant

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Small-Business
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Anzo features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Data Workflows
    Average: 8.8
    9.7
    Profiling and Classification
    Average: 8.5
    9.0
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2007
    HQ Location
    Boston, Massachusetts
    LinkedIn® Page
    www.linkedin.com
    24 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Altair® Graph Studio™ (formerly Anzo) is a comprehensive data discovery and integration toolset that applies a semantic, graph-based data fabric layer over diverse enterprise data sources. This semant

Users
No information available
Industries
No information available
Market Segment
  • 45% Small-Business
  • 36% Mid-Market
Anzo features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Data Workflows
Average: 8.8
9.7
Profiling and Classification
Average: 8.5
9.0
Data Joining
Average: 8.8
Seller Details
Year Founded
2007
HQ Location
Boston, Massachusetts
LinkedIn® Page
www.linkedin.com
24 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    🌐 What is Impler? Impler is an open-source data import experience designed to simplify the process of bringing data into your systems. Whether you're building a startup or an enterprice app, Impler ca

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Mid-Market
    • 40% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Impler 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 Integration
    1
    Data Quality
    1
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Complexity
    1
    Data Management Issues
    1
    Limited Functionality
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Impler features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Data Workflows
    Average: 8.8
    9.2
    Profiling and Classification
    Average: 8.5
    7.5
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Surat
    Twitter
    @knovator
    60 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    55 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

🌐 What is Impler? Impler is an open-source data import experience designed to simplify the process of bringing data into your systems. Whether you're building a startup or an enterprice app, Impler ca

Users
No information available
Industries
No information available
Market Segment
  • 40% Mid-Market
  • 40% Small-Business
Impler 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 Integration
1
Data Quality
1
Ease of Use
1
Easy Integrations
1
Cons
Complexity
1
Data Management Issues
1
Limited Functionality
1
Missing Features
1
Impler features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
9.2
Data Workflows
Average: 8.8
9.2
Profiling and Classification
Average: 8.5
7.5
Data Joining
Average: 8.8
Seller Details
Year Founded
2017
HQ Location
Surat
Twitter
@knovator
60 Twitter followers
LinkedIn® Page
www.linkedin.com
55 employees on LinkedIn®
  • 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
    19,285 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    849 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
19,285 Twitter followers
LinkedIn® Page
www.linkedin.com
849 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Querri Overview: Querri is an AI-powered data analytics platform designed to help business teams work with real-world data from start to finish. It supports the full analytics lifecycle—from connec

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 38% Mid-Market
  • 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 Overview: Querri is an AI-powered data analytics platform designed to help business teams work with real-world data from start to finish. It supports the full analytics lifecycle—from connec

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 38% Mid-Market
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®