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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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Alteryx
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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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94 Listings in Data Preparation Available
  • 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
    • 43% 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
    Efficiency Improvement
    4
    Alerting System
    3
    Anomaly Detection
    3
    Data Quality
    3
    Ease of Use
    3
    Cons
    Learning Difficulty
    4
    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: 9.1
    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
    708,950 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
  • 43% 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
Efficiency Improvement
4
Alerting System
3
Anomaly Detection
3
Data Quality
3
Ease of Use
3
Cons
Learning Difficulty
4
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: 9.1
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
708,950 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: 9.1
    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
    28 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: 9.1
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
28 employees on LinkedIn®

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on 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: 9.1
    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
    Twitter
    @flatfile
    1,259 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    63 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: 9.1
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
Twitter
@flatfile
1,259 Twitter followers
LinkedIn® Page
www.linkedin.com
63 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: 9.1
    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
    2,265 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143 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: 9.1
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
HQ Location
Simi Valley, CA
Twitter
@AsteraSoftware
2,265 Twitter followers
LinkedIn® Page
www.linkedin.com
143 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Osmos is Agentic AI for your data estate. Clean, transform, validate, and pipeline your data—hands-free—with intelligent AI agents that work like teammates. Solutions include: Osmos AI Data Wran

    Users
    No information available
    Industries
    • Insurance
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Osmos 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 Learning
    2
    Ease of Use
    2
    Easy Setup
    2
    Simple
    2
    Time-saving
    2
    Cons
    Limited Flexibility
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Osmos features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.1
    9.7
    Data Workflows
    Average: 8.8
    10.0
    Profiling and Classification
    Average: 8.5
    9.7
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Osmos
    Year Founded
    2019
    HQ Location
    Seattle, US
    Twitter
    @osmosdata
    90 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    14 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Osmos is Agentic AI for your data estate. Clean, transform, validate, and pipeline your data—hands-free—with intelligent AI agents that work like teammates. Solutions include: Osmos AI Data Wran

Users
No information available
Industries
  • Insurance
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Osmos 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 Learning
2
Ease of Use
2
Easy Setup
2
Simple
2
Time-saving
2
Cons
Limited Flexibility
1
Osmos features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.1
9.7
Data Workflows
Average: 8.8
10.0
Profiling and Classification
Average: 8.5
9.7
Data Joining
Average: 8.8
Seller Details
Seller
Osmos
Year Founded
2019
HQ Location
Seattle, US
Twitter
@osmosdata
90 Twitter followers
LinkedIn® Page
www.linkedin.com
14 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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: 9.1
    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
    11,295 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    163 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: 9.1
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
11,295 Twitter followers
LinkedIn® Page
www.linkedin.com
163 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
    3
    Complexity
    2
    Learning Difficulty
    2
    Time-Consuming
    2
    Alert Overload
    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: 9.1
    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
    500 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    12 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
3
Complexity
2
Learning Difficulty
2
Time-Consuming
2
Alert Overload
1
Datacoves features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 9.1
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
500 Twitter followers
LinkedIn® Page
www.linkedin.com
12 employees on LinkedIn®
  • 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
    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: 9.1
    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
    247 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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
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: 9.1
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
247 Twitter followers
LinkedIn® Page
www.linkedin.com
10 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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: 9.1
    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
    71 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    30 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: 9.1
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
71 Twitter followers
LinkedIn® Page
www.linkedin.com
30 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
    26 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
26 employees on LinkedIn®
(12)4.1 out of 5
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  • 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% Enterprise
    • 42% Small-Business
  • 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: 9.1
    7.2
    Data Workflows
    Average: 8.8
    7.2
    Profiling and Classification
    Average: 8.5
    6.9
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Palantir
    HQ Location
    Denver, US
    Twitter
    @PalantirTech
    340,376 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    5,291 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% Enterprise
  • 42% Small-Business
Palantir Foundry features and usability ratings that predict user satisfaction
5.0
Has the product been a good partner in doing business?
Average: 9.1
7.2
Data Workflows
Average: 8.8
7.2
Profiling and Classification
Average: 8.5
6.9
Data Joining
Average: 8.8
Seller Details
Seller
Palantir
HQ Location
Denver, US
Twitter
@PalantirTech
340,376 Twitter followers
LinkedIn® Page
www.linkedin.com
5,291 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% Mid-Market
    • 36% Enterprise
  • 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: 9.1
    8.9
    Data Workflows
    Average: 8.8
    8.9
    Profiling and Classification
    Average: 8.5
    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
    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.

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% Mid-Market
  • 36% Enterprise
Qlik Catalog features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.1
8.9
Data Workflows
Average: 8.8
8.9
Profiling and Classification
Average: 8.5
8.3
Data Joining
Average: 8.8
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
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SqlDBM – The Standard for Modern Data Modeling in the Cloud + AI Era SqlDBM is redefining how enterprises architect, govern, and scale data infrastructure in a cloud-first world. As the only clo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Enterprise
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SqlDBM 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
    9
    Integrations
    7
    Customer Support
    6
    Easy Integrations
    6
    Performance Efficiency
    6
    Cons
    Feature Limitations
    5
    Missing Features
    3
    Expensive
    2
    Complexity
    1
    Connectivity Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SqlDBM features and usability ratings that predict user satisfaction
    9.7
    Has the product been a good partner in doing business?
    Average: 9.1
    8.3
    Data Workflows
    Average: 8.8
    7.1
    Profiling and Classification
    Average: 8.5
    7.1
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SqlDBM
    Year Founded
    2017
    HQ Location
    San Diego, US
    LinkedIn® Page
    www.linkedin.com
    40 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SqlDBM – The Standard for Modern Data Modeling in the Cloud + AI Era SqlDBM is redefining how enterprises architect, govern, and scale data infrastructure in a cloud-first world. As the only clo

Users
No information available
Industries
No information available
Market Segment
  • 46% Enterprise
  • 23% Mid-Market
SqlDBM 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
9
Integrations
7
Customer Support
6
Easy Integrations
6
Performance Efficiency
6
Cons
Feature Limitations
5
Missing Features
3
Expensive
2
Complexity
1
Connectivity Issues
1
SqlDBM features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 9.1
8.3
Data Workflows
Average: 8.8
7.1
Profiling and Classification
Average: 8.5
7.1
Data Joining
Average: 8.8
Seller Details
Seller
SqlDBM
Year Founded
2017
HQ Location
San Diego, US
LinkedIn® Page
www.linkedin.com
40 employees on LinkedIn®
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
    3
    Data Integration
    2
    Easy Integrations
    2
    Performance Speed
    2
    Customization
    1
    Cons
    Limited Functionality
    2
    Complexity
    1
    Data Management Issues
    1
    Excel Issues
    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: 9.1
    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
    61 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    62 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
3
Data Integration
2
Easy Integrations
2
Performance Speed
2
Customization
1
Cons
Limited Functionality
2
Complexity
1
Data Management Issues
1
Excel Issues
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: 9.1
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
61 Twitter followers
LinkedIn® Page
www.linkedin.com
62 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
    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: 9.1
    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: 9.1
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®

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