Best Data Preparation Tools and Software - Page 3

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

Best 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.

No filters applied
84 Listings in Data Preparation Available
Entry Level Price:Contact Us
  • 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Datameer 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
    Efficiency Improvement
    2
    No-Code Development
    2
    Performance Efficiency
    2
    Speed
    2
    Cons
    Connector Issues
    1
    Missing Features
    1
    Poor Integration
    1
  • 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: 8.7
    8.3
    Profiling and Classification
    Average: 8.4
    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
    11,534 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    98 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 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
Efficiency Improvement
2
No-Code Development
2
Performance Efficiency
2
Speed
2
Cons
Connector Issues
1
Missing Features
1
Poor Integration
1
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: 8.7
8.3
Profiling and Classification
Average: 8.4
9.0
Data Joining
Average: 8.8
Seller Details
Seller
Datameer
Year Founded
2009
HQ Location
San Francisco, CA
Twitter
@datameer
11,534 Twitter followers
LinkedIn® Page
www.linkedin.com
98 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
    5
    User Experience
    4
    Efficiency Improvement
    3
    User Interface
    3
    Customer Support
    2
    Cons
    Poor Documentation
    3
    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
    Seller
    Coginiti
    Year Founded
    2020
    HQ Location
    Atlanta , GA
    Twitter
    @coginiti
    68 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    28 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
5
User Experience
4
Efficiency Improvement
3
User Interface
3
Customer Support
2
Cons
Poor Documentation
3
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
Seller
Coginiti
Year Founded
2020
HQ Location
Atlanta , GA
Twitter
@coginiti
68 Twitter followers
LinkedIn® Page
www.linkedin.com
28 employees on LinkedIn®

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

    EasyMorph is optimized for non-technical users that would like to reduce their dependency on corporate IT departments, and spend less time on tedious data-related tasks.

    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
    Ease of Use
    4
    Intuitive
    3
    Ease of Learning
    2
    Easy Integrations
    2
    Performance Speed
    2
    Cons
    Missing Features
    2
    Formatting Issues
    1
    Lack of Automation
    1
    Learning Curve
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EasyMorph features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Data Workflows
    Average: 8.7
    7.7
    Profiling and Classification
    Average: 8.4
    8.1
    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
    5 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

EasyMorph is optimized for non-technical users that would like to reduce their dependency on corporate IT departments, and spend less time on tedious data-related tasks.

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
Ease of Use
4
Intuitive
3
Ease of Learning
2
Easy Integrations
2
Performance Speed
2
Cons
Missing Features
2
Formatting Issues
1
Lack of Automation
1
Learning Curve
1
Learning Difficulty
1
EasyMorph features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.0
8.3
Data Workflows
Average: 8.7
7.7
Profiling and Classification
Average: 8.4
8.1
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
5 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Anzo 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
    2
    Ease of Use
    2
    Easy Integrations
    2
    Efficiency Improvement
    2
    Integrations
    2
    Cons
    Bugs
    1
    Complex Setup
    1
    Connector Issues
    1
    Dependency Issues
    1
    Difficult Learning
    1
  • 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: 8.7
    9.7
    Profiling and Classification
    Average: 8.4
    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
    33 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 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
2
Ease of Use
2
Easy Integrations
2
Efficiency Improvement
2
Integrations
2
Cons
Bugs
1
Complex Setup
1
Connector Issues
1
Dependency Issues
1
Difficult Learning
1
Anzo features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Data Workflows
Average: 8.7
9.7
Profiling and Classification
Average: 8.4
9.0
Data Joining
Average: 8.8
Seller Details
Year Founded
2007
HQ Location
Boston, Massachusetts
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.

    Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrati

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Small-Business
    • 42% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Palantir Foundry features and usability ratings that predict user satisfaction
    5.0
    Has the product been a good partner in doing business?
    Average: 9.0
    7.2
    Data Workflows
    Average: 8.7
    7.2
    Profiling and Classification
    Average: 8.4
    6.9
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Palantir
    HQ Location
    Denver, US
    Twitter
    @PalantirTech
    278,250 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,031 employees on LinkedIn®
    Ownership
    PLTR (NYSE)
Product Description
How are these determined?Information
This description is provided by the seller.

Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrati

Users
No information available
Industries
No information available
Market Segment
  • 42% Small-Business
  • 42% Enterprise
Palantir Foundry features and usability ratings that predict user satisfaction
5.0
Has the product been a good partner in doing business?
Average: 9.0
7.2
Data Workflows
Average: 8.7
7.2
Profiling and Classification
Average: 8.4
6.9
Data Joining
Average: 8.8
Seller Details
Seller
Palantir
HQ Location
Denver, US
Twitter
@PalantirTech
278,250 Twitter followers
LinkedIn® Page
www.linkedin.com
4,031 employees on LinkedIn®
Ownership
PLTR (NYSE)
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qlik Data Catalyst accelerates the transition towards modern data management by providing essential capabilities in four areas.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Enterprise
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qlik Catalog features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Data Workflows
    Average: 8.7
    8.9
    Profiling and Classification
    Average: 8.4
    8.3
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    65,495 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,938 employees on LinkedIn®
    Phone
    1 (888) 994-9854
Product Description
How are these determined?Information
This description is provided by the seller.

Qlik Data Catalyst accelerates the transition towards modern data management by providing essential capabilities in four areas.

Users
No information available
Industries
No information available
Market Segment
  • 36% Enterprise
  • 36% Mid-Market
Qlik Catalog features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
8.9
Data Workflows
Average: 8.7
8.9
Profiling and Classification
Average: 8.4
8.3
Data Joining
Average: 8.8
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
65,495 Twitter followers
LinkedIn® Page
www.linkedin.com
3,938 employees on LinkedIn®
Phone
1 (888) 994-9854
Entry Level Price:Free
  • 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
    • 44% Mid-Market
    • 44% 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
    Ease of Use
    8
    Easy Integrations
    5
    Data Integration
    3
    Performance Speed
    3
    Data Quality
    2
    Cons
    Limited Functionality
    3
    Missing Features
    2
    Complexity
    1
    Data Management Issues
    1
    Excel Issues
    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: 8.7
    9.2
    Profiling and Classification
    Average: 8.4
    7.5
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Surat
    Twitter
    @knovator
    58 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    69 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
  • 44% Mid-Market
  • 44% 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
Ease of Use
8
Easy Integrations
5
Data Integration
3
Performance Speed
3
Data Quality
2
Cons
Limited Functionality
3
Missing Features
2
Complexity
1
Data Management Issues
1
Excel Issues
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: 8.7
9.2
Profiling and Classification
Average: 8.4
7.5
Data Joining
Average: 8.8
Seller Details
Year Founded
2017
HQ Location
Surat
Twitter
@knovator
58 Twitter followers
LinkedIn® Page
www.linkedin.com
69 employees on LinkedIn®
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
    Ease of Use
    2
    User Interface
    2
    AI Modeling
    1
    Connectivity
    1
    Data Preparation
    1
    Cons
    Expensive
    1
    Performance Issues
    1
    Poor Documentation
    1
    User Confusion
    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: 8.7
    8.8
    Profiling and Classification
    Average: 8.4
    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
    19,509 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    956 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
Ease of Use
2
User Interface
2
AI Modeling
1
Connectivity
1
Data Preparation
1
Cons
Expensive
1
Performance Issues
1
Poor Documentation
1
User Confusion
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: 8.7
8.8
Profiling and Classification
Average: 8.4
9.6
Data Joining
Average: 8.8
Seller Details
Seller
DataRobot
Year Founded
2012
HQ Location
Boston, Massachusetts
Twitter
@DataRobot
19,509 Twitter followers
LinkedIn® Page
www.linkedin.com
956 employees on LinkedIn®
  • 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: 8.7
    7.9
    Profiling and Classification
    Average: 8.4
    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
    101,673 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,576 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: 8.7
7.9
Profiling and Classification
Average: 8.4
9.4
Data Joining
Average: 8.8
Seller Details
Year Founded
1993
HQ Location
Redwood City, CA
Twitter
@Informatica
101,673 Twitter followers
LinkedIn® Page
www.linkedin.com
5,576 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 a platform that lets you clean, combine, analyze, and move data by asking questions in natural language. Querri uses AI technology, including large language models (LLMs), to help people w

    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: 8.7
    6.9
    Profiling and Classification
    Average: 8.4
    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 a platform that lets you clean, combine, analyze, and move data by asking questions in natural language. Querri uses AI technology, including large language models (LLMs), to help people w

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: 8.7
6.9
Profiling and Classification
Average: 8.4
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
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAS Data Loader for Hadoop empowers you to manage your own data without writing code.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Mid-Market
    • 14% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Data Loader for Hadoop 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
    Community Support
    1
    Features
    1
    Large Data Handling
    1
    Learning
    1
    Cons
    Expensive
    3
    Slow Performance
    2
    Performance Issues
    1
    Pricing Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Data Loader for Hadoop features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    9.7
    Data Workflows
    Average: 8.7
    9.4
    Profiling and Classification
    Average: 8.4
    9.4
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    62,199 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17,268 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

SAS Data Loader for Hadoop empowers you to manage your own data without writing code.

Users
No information available
Industries
No information available
Market Segment
  • 71% Mid-Market
  • 14% Enterprise
SAS Data Loader for Hadoop 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
Community Support
1
Features
1
Large Data Handling
1
Learning
1
Cons
Expensive
3
Slow Performance
2
Performance Issues
1
Pricing Issues
1
SAS Data Loader for Hadoop features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
9.7
Data Workflows
Average: 8.7
9.4
Profiling and Classification
Average: 8.4
9.4
Data Joining
Average: 8.8
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
62,199 Twitter followers
LinkedIn® Page
www.linkedin.com
17,268 employees on LinkedIn®
Phone
1-800-727-0025
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    A Trailblazing, No code, All in one Data fabric platform. SCIKIQ, a no-code data management /fabric platform powered by AI, addresses key data challenges for medium to large organizations. - Empowe

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 38% Small-Business
    • 38% 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
    4
    Data Management
    2
    Features
    2
    Functionality
    2
    Intuitive
    2
    Cons
    Complexity Issues
    2
    Integration Issues
    2
    Complexity
    1
    Data Management
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Scikiq: Comprehensive Data Management Platform 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
    Year Founded
    2023
    HQ Location
    Gurgaon
    Twitter
    @scikiq
    8 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    31 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A Trailblazing, No code, All in one Data fabric platform. SCIKIQ, a no-code data management /fabric platform powered by AI, addresses key data challenges for medium to large organizations. - Empowe

Users
No information available
Industries
No information available
Market Segment
  • 38% Small-Business
  • 38% 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
4
Data Management
2
Features
2
Functionality
2
Intuitive
2
Cons
Complexity Issues
2
Integration Issues
2
Complexity
1
Data Management
1
Limited Features
1
Scikiq: Comprehensive Data Management Platform 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
Year Founded
2023
HQ Location
Gurgaon
Twitter
@scikiq
8 Twitter followers
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®
(21)4.4 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
    • 48% Small-Business
    • 14% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Dataprep features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Data Workflows
    Average: 8.7
    10.0
    Profiling and Classification
    Average: 8.4
    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
    32,691,321 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 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
  • 48% Small-Business
  • 14% Enterprise
Google Cloud Dataprep features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 9.0
8.3
Data Workflows
Average: 8.7
10.0
Profiling and Classification
Average: 8.4
10.0
Data Joining
Average: 8.8
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,691,321 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 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: 8.7
    8.7
    Profiling and Classification
    Average: 8.4
    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
    301,284 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 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: 8.7
8.7
Profiling and Classification
Average: 8.4
8.0
Data Joining
Average: 8.8
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,284 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP