Best Data Preparation Tools and Software - Page 2

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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Most Niche:
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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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84 Listings in Data Preparation Available
(31)4.7 out of 5
15th Easiest To Use in Data Preparation software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SolveXia empowers finance and accounting teams to automate spreadsheet-driven and manual processes. The SolveXia platform significantly reduces the time and effort needed to combine, reconcile, map, a

    Users
    No information available
    Industries
    • Financial Services
    • Staffing and Recruiting
    Market Segment
    • 45% Small-Business
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SolveXia 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
    19
    Automation
    12
    Customer Support
    10
    Reporting
    9
    Time-saving
    9
    Cons
    Learning Curve
    4
    Steep Learning Curve
    3
    Learning Difficulty
    2
    Outdated Interface
    2
    Poor Interface Design
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SolveXia features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.6
    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
    SolveXia
    Year Founded
    2008
    HQ Location
    Sydney, AU
    Twitter
    @solvexia
    429 Twitter followers
    LinkedIn® Page
    au.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SolveXia empowers finance and accounting teams to automate spreadsheet-driven and manual processes. The SolveXia platform significantly reduces the time and effort needed to combine, reconcile, map, a

Users
No information available
Industries
  • Financial Services
  • Staffing and Recruiting
Market Segment
  • 45% Small-Business
  • 42% Mid-Market
SolveXia 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
19
Automation
12
Customer Support
10
Reporting
9
Time-saving
9
Cons
Learning Curve
4
Steep Learning Curve
3
Learning Difficulty
2
Outdated Interface
2
Poor Interface Design
2
SolveXia features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
8.6
Data Workflows
Average: 8.7
8.3
Profiling and Classification
Average: 8.4
9.0
Data Joining
Average: 8.8
Seller Details
Seller
SolveXia
Year Founded
2008
HQ Location
Sydney, AU
Twitter
@solvexia
429 Twitter followers
LinkedIn® Page
au.linkedin.com
25 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Zoho DataPrep (Best ETL tool in 2025) is an AI-powered advanced self-service data preparation software that helps organizations prepare huge volumes of data. As a no-code ETL platform, it eliminates t

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Zoho DataPrep 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
    AI Modeling
    2
    Cloud Computing
    2
    Data Integration
    2
    Data Preparation
    2
    Cons
    Data Management
    3
    Complexity
    1
    Connectivity Issues
    1
    Expensive
    1
    Formatting Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zoho DataPrep features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Data Workflows
    Average: 8.7
    7.9
    Profiling and Classification
    Average: 8.4
    8.1
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Zoho
    Year Founded
    1996
    HQ Location
    Austin, TX
    Twitter
    @Zoho
    103,600 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    24,715 employees on LinkedIn®
    Phone
    +1 (888) 900-9646
Product Description
How are these determined?Information
This description is provided by the seller.

Zoho DataPrep (Best ETL tool in 2025) is an AI-powered advanced self-service data preparation software that helps organizations prepare huge volumes of data. As a no-code ETL platform, it eliminates t

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 25% Mid-Market
Zoho DataPrep 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
AI Modeling
2
Cloud Computing
2
Data Integration
2
Data Preparation
2
Cons
Data Management
3
Complexity
1
Connectivity Issues
1
Expensive
1
Formatting Issues
1
Zoho DataPrep features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
8.3
Data Workflows
Average: 8.7
7.9
Profiling and Classification
Average: 8.4
8.1
Data Joining
Average: 8.8
Seller Details
Seller
Zoho
Year Founded
1996
HQ Location
Austin, TX
Twitter
@Zoho
103,600 Twitter followers
LinkedIn® Page
www.linkedin.com
24,715 employees on LinkedIn®
Phone
+1 (888) 900-9646

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(23)4.7 out of 5
10th Easiest To Use in Data Preparation software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transf

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 65% Small-Business
    • 17% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Omniscope Evo 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
    13
    Features
    10
    Analytics
    9
    Automation
    7
    Usability
    7
    Cons
    Missing Features
    4
    Dashboard Issues
    2
    Expensive
    2
    Limited Customization
    2
    Limited Visualization
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Omniscope Evo features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 9.0
    9.7
    Data Workflows
    Average: 8.7
    8.5
    Profiling and Classification
    Average: 8.4
    9.4
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2002
    HQ Location
    London, GB
    Twitter
    @Visokio
    261 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transf

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 65% Small-Business
  • 17% Enterprise
Omniscope Evo 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
13
Features
10
Analytics
9
Automation
7
Usability
7
Cons
Missing Features
4
Dashboard Issues
2
Expensive
2
Limited Customization
2
Limited Visualization
2
Omniscope Evo features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 9.0
9.7
Data Workflows
Average: 8.7
8.5
Profiling and Classification
Average: 8.4
9.4
Data Joining
Average: 8.8
Seller Details
Year Founded
2002
HQ Location
London, GB
Twitter
@Visokio
261 Twitter followers
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®
(48)4.6 out of 5
14th Easiest To Use in Data Preparation software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OneSchema automates CSV imports, embedded directly in your product. Product and engineering teams use OneSchema to save months of dev time building CSV import. With over 50+ prebuilt validations and r

    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
    Ease of Use
    21
    Data Management
    13
    Features
    7
    Customer Support
    6
    Easy Integrations
    6
    Cons
    Complexity
    3
    Error Handling
    3
    Limited Functionality
    3
    Poor Customer Support
    3
    Poor Interface Design
    3
  • 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: 8.7
    8.4
    Profiling and Classification
    Average: 8.4
    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
    210 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    20 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

OneSchema automates CSV imports, embedded directly in your product. Product and engineering teams use OneSchema to save months of dev time building CSV import. With over 50+ prebuilt validations and r

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
Ease of Use
21
Data Management
13
Features
7
Customer Support
6
Easy Integrations
6
Cons
Complexity
3
Error Handling
3
Limited Functionality
3
Poor Customer Support
3
Poor Interface Design
3
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: 8.7
8.4
Profiling and Classification
Average: 8.4
8.8
Data Joining
Average: 8.8
Seller Details
Seller
OneSchema
Year Founded
2021
HQ Location
San Francisco, California
Twitter
@oneschema_co
210 Twitter followers
LinkedIn® Page
www.linkedin.com
20 employees on LinkedIn®
(22)4.4 out of 5
Optimized for quick response
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Minitab Connect® is a data integration solution designed to help users access, blend, and enrich data from various critical sources, enabling meaningful business intelligence and informed decision-mak

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 59% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Minitab Connect 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
    7
    Functionality
    3
    Intuitive
    3
    Learning
    3
    Performance
    3
    Cons
    Learning Curve
    3
    Learning Difficulty
    3
    Complexity
    2
    Expensive
    2
    Limited Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Minitab Connect features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 9.0
    8.5
    Data Workflows
    Average: 8.7
    8.3
    Profiling and Classification
    Average: 8.4
    8.1
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Minitab
    Company Website
    Year Founded
    1972
    HQ Location
    State College, Pennsylvania, United States
    Twitter
    @Minitab
    5,117 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    581 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Minitab Connect® is a data integration solution designed to help users access, blend, and enrich data from various critical sources, enabling meaningful business intelligence and informed decision-mak

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 59% Enterprise
  • 27% Mid-Market
Minitab Connect 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
7
Functionality
3
Intuitive
3
Learning
3
Performance
3
Cons
Learning Curve
3
Learning Difficulty
3
Complexity
2
Expensive
2
Limited Features
2
Minitab Connect features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 9.0
8.5
Data Workflows
Average: 8.7
8.3
Profiling and Classification
Average: 8.4
8.1
Data Joining
Average: 8.8
Seller Details
Seller
Minitab
Company Website
Year Founded
1972
HQ Location
State College, Pennsylvania, United States
Twitter
@Minitab
5,117 Twitter followers
LinkedIn® Page
www.linkedin.com
581 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    An industry leader with over 30 years of experience in data discovery and transformation, Altair Monarch offers the fastest and easiest way to extract data from any source. Simple to construct workflo

    Users
    No information available
    Industries
    • Financial Services
    • Hospital & Health Care
    Market Segment
    • 54% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Altair Monarch features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 9.0
    9.2
    Data Workflows
    Average: 8.7
    9.0
    Profiling and Classification
    Average: 8.4
    9.1
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Altair
    Year Founded
    1985
    HQ Location
    Troy, MI
    Twitter
    @Altair_Inc
    7,333 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,102 employees on LinkedIn®
    Ownership
    NASDAQ:ALTR
Product Description
How are these determined?Information
This description is provided by the seller.

An industry leader with over 30 years of experience in data discovery and transformation, Altair Monarch offers the fastest and easiest way to extract data from any source. Simple to construct workflo

Users
No information available
Industries
  • Financial Services
  • Hospital & Health Care
Market Segment
  • 54% Enterprise
  • 27% Mid-Market
Altair Monarch features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 9.0
9.2
Data Workflows
Average: 8.7
9.0
Profiling and Classification
Average: 8.4
9.1
Data Joining
Average: 8.8
Seller Details
Seller
Altair
Year Founded
1985
HQ Location
Troy, MI
Twitter
@Altair_Inc
7,333 Twitter followers
LinkedIn® Page
www.linkedin.com
4,102 employees on LinkedIn®
Ownership
NASDAQ:ALTR
  • 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
    8
    Data Quality
    6
    Problem Solving
    5
    Alerting System
    4
    Anomaly Detection
    4
    Cons
    Learning Difficulty
    5
    Complexity
    3
    Limited Features
    3
    Poor User Interface
    3
    Data Management
    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: 8.7
    8.3
    Profiling and Classification
    Average: 8.4
    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
    709,653 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 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
8
Data Quality
6
Problem Solving
5
Alerting System
4
Anomaly Detection
4
Cons
Learning Difficulty
5
Complexity
3
Limited Features
3
Poor User Interface
3
Data Management
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: 8.7
8.3
Profiling and Classification
Average: 8.4
8.8
Data Joining
Average: 8.8
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,653 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Upsolver lets you build at-scale data pipelines in days rather than months. You can ingest complex and streaming data via built-in connectors, define transformations using SQL commands, and output tab

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Mid-Market
    • 38% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Upsolver features and usability ratings that predict user satisfaction
    9.8
    Has the product been a good partner in doing business?
    Average: 9.0
    10.0
    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
    Upsolver
    Year Founded
    2014
    HQ Location
    Sunnyvale, California
    Twitter
    @upsolver
    555 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    45 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Upsolver lets you build at-scale data pipelines in days rather than months. You can ingest complex and streaming data via built-in connectors, define transformations using SQL commands, and output tab

Users
No information available
Industries
No information available
Market Segment
  • 46% Mid-Market
  • 38% Small-Business
Upsolver features and usability ratings that predict user satisfaction
9.8
Has the product been a good partner in doing business?
Average: 9.0
10.0
Data Workflows
Average: 8.7
10.0
Profiling and Classification
Average: 8.4
10.0
Data Joining
Average: 8.8
Seller Details
Seller
Upsolver
Year Founded
2014
HQ Location
Sunnyvale, California
Twitter
@upsolver
555 Twitter followers
LinkedIn® Page
www.linkedin.com
45 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 AI for cleaning and wrangling your data. Seamlessly clean, prepare, validate, and ingest data with AI-driven solutions—no expertise required. Solutions include: Osmos AI Data Wrangler: Ful

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Enterprise
    • 36% Small-Business
  • 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 Use
    8
    Customer Support
    4
    Functionality
    4
    Product Quality
    4
    Solution Efficiency
    4
    Cons
    buggy Interface
    1
    Poor Customer Support
    1
    Software Bugs
    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: 9.0
    9.6
    Data Workflows
    Average: 8.7
    10.0
    Profiling and Classification
    Average: 8.4
    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
    88 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Osmos is AI for cleaning and wrangling your data. Seamlessly clean, prepare, validate, and ingest data with AI-driven solutions—no expertise required. Solutions include: Osmos AI Data Wrangler: Ful

Users
No information available
Industries
No information available
Market Segment
  • 36% Enterprise
  • 36% Small-Business
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 Use
8
Customer Support
4
Functionality
4
Product Quality
4
Solution Efficiency
4
Cons
buggy Interface
1
Poor Customer Support
1
Software Bugs
1
Osmos features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
9.6
Data Workflows
Average: 8.7
10.0
Profiling and Classification
Average: 8.4
9.7
Data Joining
Average: 8.8
Seller Details
Seller
Osmos
Year Founded
2019
HQ Location
Seattle, US
Twitter
@osmosdata
88 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
  • 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
    Aliso Viejo, CA
    Twitter
    @Quest
    17,577 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,610 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
Aliso Viejo, CA
Twitter
@Quest
17,577 Twitter followers
LinkedIn® Page
www.linkedin.com
3,610 employees on LinkedIn®
Ownership
NYSE: DGX
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
    • 93% Small-Business
    • 7% 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
    Dashboards
    2
    Data Integration
    2
    Data Management
    2
    Ease of Use
    2
    Easy Setup
    2
    Cons
    Complex Setup
    2
    Complex Implementation
    1
    Complexity
    1
    Complex Onboarding
    1
    Data Limitations
    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: 8.7
    8.9
    Profiling and Classification
    Average: 8.4
    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
    1,217 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
  • 93% Small-Business
  • 7% 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
Dashboards
2
Data Integration
2
Data Management
2
Ease of Use
2
Easy Setup
2
Cons
Complex Setup
2
Complex Implementation
1
Complexity
1
Complex Onboarding
1
Data Limitations
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: 8.7
8.9
Profiling and Classification
Average: 8.4
9.6
Data Joining
Average: 8.8
Seller Details
Seller
Flatfile
Year Founded
2018
HQ Location
Denver, Colorado
Twitter
@flatfile
1,217 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.

    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
    • 42% Small-Business
    • 33% Enterprise
  • 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
    Ease of Use
    9
    Features
    8
    Integrations
    8
    Data Engineering
    6
    Easy Integrations
    6
    Cons
    Dependency Issues
    4
    Complexity
    3
    Learning Curve
    3
    Steep Learning Curve
    3
    Difficult Learning
    2
  • 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
    9.2
    Data Workflows
    Average: 8.7
    9.2
    Profiling and Classification
    Average: 8.4
    9.2
    Data Joining
    Average: 8.8
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    Thousand Oaks, California
    Twitter
    @datacoves
    493 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.

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
  • 42% Small-Business
  • 33% Enterprise
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
Ease of Use
9
Features
8
Integrations
8
Data Engineering
6
Easy Integrations
6
Cons
Dependency Issues
4
Complexity
3
Learning Curve
3
Steep Learning Curve
3
Difficult Learning
2
Datacoves features and usability ratings that predict user satisfaction
9.4
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
9.2
Data Joining
Average: 8.8
Seller Details
Year Founded
2021
HQ Location
Thousand Oaks, California
Twitter
@datacoves
493 Twitter followers
LinkedIn® Page
www.linkedin.com
14 employees on LinkedIn®
  • 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: 8.7
    8.3
    Profiling and Classification
    Average: 8.4
    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
    23 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: 8.7
8.3
Profiling and Classification
Average: 8.4
8.5
Data Joining
Average: 8.8
Seller Details
Seller
Lightly
Year Founded
2019
HQ Location
Zurich, CH
LinkedIn® Page
www.linkedin.com
23 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
    2,355 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    155 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
2,355 Twitter followers
LinkedIn® Page
www.linkedin.com
155 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 24% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Supersimple Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    16
    Useful
    9
    Insights
    6
    Time-saving
    5
    AI Integration
    4
    Cons
    Expensive Pricing
    5
    Expensive
    4
    Learning Curve
    2
    Learning Difficulty
    2
    Limited Options
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Supersimple features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2021
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 24% Mid-Market
Supersimple Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
16
Useful
9
Insights
6
Time-saving
5
AI Integration
4
Cons
Expensive Pricing
5
Expensive
4
Learning Curve
2
Learning Difficulty
2
Limited Options
2
Supersimple features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2021
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®