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Best Enterprise Data Preparation Software - Page 2

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Products classified in the overall Data Preparation category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Data Preparation to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Data Preparation category.

In addition to qualifying for inclusion in the Data Preparation Software category, to qualify for inclusion in the Enterprise Business Data Preparation Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.

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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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19 Listings in Enterprise Data Preparation Software Available

  • 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: 9.1
    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
    1987
    HQ Location
    Aliso Viejo, CA
    Twitter
    @Quest
    17,200 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: 9.1
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1987
HQ Location
Aliso Viejo, CA
Twitter
@Quest
17,200 Twitter followers
LinkedIn® Page
www.linkedin.com
3,607 employees on LinkedIn®
Ownership
NYSE: DGX
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®

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  • 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.

    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

Frequently asked questions about Data Preparation Software

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