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Best Data Virtualization Software - Page 2

Blue Bowen
BB
Researched and written by Blue Bowen

Data virtualization software is used by teams to facilitate agile data storage, retrieval, and integration processes through the use of virtual data layers.

To qualify for inclusion in the Data Virtualization category, a product must:

Abstract data through a virtualized layer
Integrate data from disparate sources
Facilitate data retrieval and manipulation
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Best Data Virtualization Software At A Glance

Highest Performer:
Easiest to Use:
Top Trending:
Best Free Software:
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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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37 Listings in Data Virtualization Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The VMware vCloud Suite is a complete cloud infrastructure solution that simplifies IT operations while delivering the best SLAs for all applications.

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 53% Mid-Market
    • 24% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VMware Cloud Director features and usability ratings that predict user satisfaction
    8.9
    Data Security
    Average: 8.8
    8.3
    Orchestration
    Average: 8.5
    8.9
    Application Performance
    Average: 8.6
    7.6
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Broadcom
    Year Founded
    1991
    HQ Location
    San Jose, CA
    Twitter
    @broadcom
    61,685 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    56,584 employees on LinkedIn®
    Ownership
    NASDAQ: CA
Product Description
How are these determined?Information
This description is provided by the seller.

The VMware vCloud Suite is a complete cloud infrastructure solution that simplifies IT operations while delivering the best SLAs for all applications.

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 53% Mid-Market
  • 24% Enterprise
VMware Cloud Director features and usability ratings that predict user satisfaction
8.9
Data Security
Average: 8.8
8.3
Orchestration
Average: 8.5
8.9
Application Performance
Average: 8.6
7.6
Ease of Use
Average: 8.7
Seller Details
Seller
Broadcom
Year Founded
1991
HQ Location
San Jose, CA
Twitter
@broadcom
61,685 Twitter followers
LinkedIn® Page
www.linkedin.com
56,584 employees on LinkedIn®
Ownership
NASDAQ: CA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Varada's data platform runs in your AWS VPC and can dramatically accelerate queries that run directly on your data lake. No need to move data or model it to get those blazing fast queries users deman

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 45% Small-Business
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Varada features and usability ratings that predict user satisfaction
    10.0
    Data Security
    Average: 8.8
    9.2
    Orchestration
    Average: 8.5
    8.3
    Application Performance
    Average: 8.6
    9.4
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Starburst
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,466 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    478 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Varada's data platform runs in your AWS VPC and can dramatically accelerate queries that run directly on your data lake. No need to move data or model it to get those blazing fast queries users deman

Users
No information available
Industries
No information available
Market Segment
  • 45% Small-Business
  • 36% Mid-Market
Varada features and usability ratings that predict user satisfaction
10.0
Data Security
Average: 8.8
9.2
Orchestration
Average: 8.5
8.3
Application Performance
Average: 8.6
9.4
Ease of Use
Average: 8.7
Seller Details
Seller
Starburst
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,466 Twitter followers
LinkedIn® Page
www.linkedin.com
478 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.

    Querona is a virtual database that seamlessly connects any data source with Power BI, Microsoft Excel or others.

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 40% Enterprise
    • 30% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Querona features and usability ratings that predict user satisfaction
    9.0
    Data Security
    Average: 8.8
    9.0
    Orchestration
    Average: 8.5
    8.1
    Application Performance
    Average: 8.6
    9.8
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Querona
    HQ Location
    Warsaw, Poland
    Twitter
    @QueronaCom
    24 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Querona is a virtual database that seamlessly connects any data source with Power BI, Microsoft Excel or others.

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 40% Enterprise
  • 30% Mid-Market
Querona features and usability ratings that predict user satisfaction
9.0
Data Security
Average: 8.8
9.0
Orchestration
Average: 8.5
8.1
Application Performance
Average: 8.6
9.8
Ease of Use
Average: 8.7
Seller Details
Seller
Querona
HQ Location
Warsaw, Poland
Twitter
@QueronaCom
24 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    FME, made by Safe Software, is the only All-Data, Any-AI Enterprise Integration Platform connecting all your data, applications, and AI services. All Data Velocities - Whether it’s batch, event, o

    Users
    • GIS Technician
    Industries
    • Government Administration
    • Oil & Energy
    Market Segment
    • 45% Mid-Market
    • 28% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • FME Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Data Management
    11
    Features
    10
    Customer Support
    8
    Data Integration
    8
    Cons
    Expensive
    6
    Complexity
    5
    Learning Curve
    4
    Pricing Issues
    4
    Difficult Learning
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FME Platform features and usability ratings that predict user satisfaction
    9.2
    Data Security
    Average: 8.8
    0.0
    No information available
    8.1
    Application Performance
    Average: 8.6
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1993
    HQ Location
    British Columbia, Canada
    Twitter
    @SafeSoftware
    5,002 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

FME, made by Safe Software, is the only All-Data, Any-AI Enterprise Integration Platform connecting all your data, applications, and AI services. All Data Velocities - Whether it’s batch, event, o

Users
  • GIS Technician
Industries
  • Government Administration
  • Oil & Energy
Market Segment
  • 45% Mid-Market
  • 28% Enterprise
FME Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Data Management
11
Features
10
Customer Support
8
Data Integration
8
Cons
Expensive
6
Complexity
5
Learning Curve
4
Pricing Issues
4
Difficult Learning
3
FME Platform features and usability ratings that predict user satisfaction
9.2
Data Security
Average: 8.8
0.0
No information available
8.1
Application Performance
Average: 8.6
8.3
Ease of Use
Average: 8.7
Seller Details
Company Website
Year Founded
1993
HQ Location
British Columbia, Canada
Twitter
@SafeSoftware
5,002 Twitter followers
LinkedIn® Page
www.linkedin.com
325 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Integrates database, server, storage and analytics into a single system with petabyte scalability. Fast analytics Provides a high-performance, massively parallel system that enables you to gain insig

    Users
    No information available
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 62% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Netezza Performance Server 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
    Speed
    5
    Performance
    4
    Ease of Use
    3
    Fast Processing
    3
    Efficiency
    2
    Cons
    Expensive
    3
    High Maintenance Costs
    2
    Integration Issues
    1
    Limited Customization
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Netezza Performance Server features and usability ratings that predict user satisfaction
    9.2
    Data Security
    Average: 8.8
    9.2
    Orchestration
    Average: 8.5
    9.6
    Application Performance
    Average: 8.6
    8.8
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,128 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.

Integrates database, server, storage and analytics into a single system with petabyte scalability. Fast analytics Provides a high-performance, massively parallel system that enables you to gain insig

Users
No information available
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 62% Enterprise
  • 27% Mid-Market
IBM Netezza Performance Server 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
Speed
5
Performance
4
Ease of Use
3
Fast Processing
3
Efficiency
2
Cons
Expensive
3
High Maintenance Costs
2
Integration Issues
1
Limited Customization
1
Slow Performance
1
IBM Netezza Performance Server features and usability ratings that predict user satisfaction
9.2
Data Security
Average: 8.8
9.2
Orchestration
Average: 8.5
9.6
Application Performance
Average: 8.6
8.8
Ease of Use
Average: 8.7
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,128 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.

    Zipstack’s Data Productivity Cloud combines engines for transformation, orchestration, and security with over 250+ Connectors, a Lakehouse, and an in-place federated querying engine. With Zipstack's

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 57% Mid-Market
    • 29% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zipstack Data Productivity Cloud features and usability ratings that predict user satisfaction
    9.3
    Data Security
    Average: 8.8
    9.2
    Orchestration
    Average: 8.5
    9.5
    Application Performance
    Average: 8.6
    9.7
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Zipstack
    Year Founded
    2022
    HQ Location
    Los Altos, US
    Twitter
    @ZipstackHQ
    59 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Zipstack’s Data Productivity Cloud combines engines for transformation, orchestration, and security with over 250+ Connectors, a Lakehouse, and an in-place federated querying engine. With Zipstack's

Users
No information available
Industries
No information available
Market Segment
  • 57% Mid-Market
  • 29% Small-Business
Zipstack Data Productivity Cloud features and usability ratings that predict user satisfaction
9.3
Data Security
Average: 8.8
9.2
Orchestration
Average: 8.5
9.5
Application Performance
Average: 8.6
9.7
Ease of Use
Average: 8.7
Seller Details
Seller
Zipstack
Year Founded
2022
HQ Location
Los Altos, US
Twitter
@ZipstackHQ
59 Twitter followers
LinkedIn® Page
www.linkedin.com
13 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Parallels is a worldwide leader in virtualization and automation software that optimizes computing for consumers, businesses, and Cloud services providers across all major hardware, operating systems,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 50% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Quanta WebHIMS features and usability ratings that predict user satisfaction
    7.8
    Data Security
    Average: 8.8
    7.8
    Orchestration
    Average: 8.5
    7.8
    Application Performance
    Average: 8.6
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Parallels is a worldwide leader in virtualization and automation software that optimizes computing for consumers, businesses, and Cloud services providers across all major hardware, operating systems,

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 50% Mid-Market
Quanta WebHIMS features and usability ratings that predict user satisfaction
7.8
Data Security
Average: 8.8
7.8
Orchestration
Average: 8.5
7.8
Application Performance
Average: 8.6
8.3
Ease of Use
Average: 8.7
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
(11)4.1 out of 5
View top Consulting Services for Perforce Delphix
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Enterprises around the world choose Perforce Delphix to automate compliant data for DevOps. The Delphix DevOps Data Platform provides integrated data masking and virtualization to rapidly deploy compl

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 55% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Perforce Delphix 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
    Database Management
    2
    Data Management
    2
    Data Security
    2
    Ease of Use
    2
    Features
    2
    Cons
    Expensive
    3
    Expensive Pricing
    3
    Complexity
    2
    Complex Setup
    2
    Integration Issues
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Perforce Delphix features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    9.0
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Perforce
    Year Founded
    1995
    HQ Location
    Minneapolis, MN
    Twitter
    @perforce
    5,095 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,684 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Enterprises around the world choose Perforce Delphix to automate compliant data for DevOps. The Delphix DevOps Data Platform provides integrated data masking and virtualization to rapidly deploy compl

Users
No information available
Industries
No information available
Market Segment
  • 55% Enterprise
  • 36% Mid-Market
Perforce Delphix 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
Database Management
2
Data Management
2
Data Security
2
Ease of Use
2
Features
2
Cons
Expensive
3
Expensive Pricing
3
Complexity
2
Complex Setup
2
Integration Issues
2
Perforce Delphix features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
9.0
Ease of Use
Average: 8.7
Seller Details
Seller
Perforce
Year Founded
1995
HQ Location
Minneapolis, MN
Twitter
@perforce
5,095 Twitter followers
LinkedIn® Page
www.linkedin.com
1,684 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Strategy Mosaic, from Strategy (formerly MicroStrategy), is an enterprise-grade universal semantic layer solution designed to enhance the capabilities of AI and Business Intelligence (BI) within organ

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Enterprise
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Strategy Mosaic Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    2
    Features
    2
    Reporting
    2
    Data Analysis
    1
    Data Visualization
    1
    Cons
    Bugs
    1
    Expensive
    1
    Learning Curve
    1
    Learning Difficulty
    1
    Licensing Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Strategy Mosaic features and usability ratings that predict user satisfaction
    8.3
    Data Security
    Average: 8.8
    10.0
    Orchestration
    Average: 8.5
    8.3
    Application Performance
    Average: 8.6
    8.7
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1989
    HQ Location
    Tysons Corner, VA
    Twitter
    @MicroStrategy
    299,026 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,330 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Strategy Mosaic, from Strategy (formerly MicroStrategy), is an enterprise-grade universal semantic layer solution designed to enhance the capabilities of AI and Business Intelligence (BI) within organ

Users
No information available
Industries
No information available
Market Segment
  • 60% Enterprise
  • 40% Mid-Market
Strategy Mosaic Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Features
2
Reporting
2
Data Analysis
1
Data Visualization
1
Cons
Bugs
1
Expensive
1
Learning Curve
1
Learning Difficulty
1
Licensing Issues
1
Strategy Mosaic features and usability ratings that predict user satisfaction
8.3
Data Security
Average: 8.8
10.0
Orchestration
Average: 8.5
8.3
Application Performance
Average: 8.6
8.7
Ease of Use
Average: 8.7
Seller Details
Company Website
Year Founded
1989
HQ Location
Tysons Corner, VA
Twitter
@MicroStrategy
299,026 Twitter followers
LinkedIn® Page
www.linkedin.com
3,330 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM watsonx.data intelligence revolutionizes the way organizations curate, manage, and utilize data by leveraging the power of AI to simplify data delivery across hybrid ecosystems. IBM watsonx.da

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 38% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.data intelligence 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
    Automation
    3
    Data Lineage
    3
    Data Quality
    2
    Ease of Use
    2
    Efficiency
    2
    Cons
    Complex Implementation
    3
    Complexity
    2
    Expensive
    2
    Expertise Required
    2
    Extra Costs
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.data intelligence features and usability ratings that predict user satisfaction
    9.2
    Data Security
    Average: 8.8
    8.8
    Orchestration
    Average: 8.5
    9.6
    Application Performance
    Average: 8.6
    8.4
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,128 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.

IBM watsonx.data intelligence revolutionizes the way organizations curate, manage, and utilize data by leveraging the power of AI to simplify data delivery across hybrid ecosystems. IBM watsonx.da

Users
No information available
Industries
No information available
Market Segment
  • 38% Small-Business
  • 34% Enterprise
IBM watsonx.data intelligence 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
Automation
3
Data Lineage
3
Data Quality
2
Ease of Use
2
Efficiency
2
Cons
Complex Implementation
3
Complexity
2
Expensive
2
Expertise Required
2
Extra Costs
2
IBM watsonx.data intelligence features and usability ratings that predict user satisfaction
9.2
Data Security
Average: 8.8
8.8
Orchestration
Average: 8.5
9.6
Application Performance
Average: 8.6
8.4
Ease of Use
Average: 8.7
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,128 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(363)4.2 out of 5
Optimized for quick response
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packagi

    Users
    • Student
    • Manager
    Industries
    • Oil & Energy
    • Information Technology and Services
    Market Segment
    • 52% Enterprise
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Spotfire Analytics 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
    43
    Data Visualization
    40
    Insights
    28
    Visualization
    26
    Easy Integrations
    23
    Cons
    Learning Curve
    29
    Expensive
    19
    Learning Difficulty
    19
    Complexity
    14
    Steep Learning Curve
    12
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spotfire Analytics features and usability ratings that predict user satisfaction
    8.9
    Data Security
    Average: 8.8
    8.9
    Orchestration
    Average: 8.5
    8.9
    Application Performance
    Average: 8.6
    8.1
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Spotfire
    Company Website
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    103 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packagi

Users
  • Student
  • Manager
Industries
  • Oil & Energy
  • Information Technology and Services
Market Segment
  • 52% Enterprise
  • 26% Mid-Market
Spotfire Analytics 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
43
Data Visualization
40
Insights
28
Visualization
26
Easy Integrations
23
Cons
Learning Curve
29
Expensive
19
Learning Difficulty
19
Complexity
14
Steep Learning Curve
12
Spotfire Analytics features and usability ratings that predict user satisfaction
8.9
Data Security
Average: 8.8
8.9
Orchestration
Average: 8.5
8.9
Application Performance
Average: 8.6
8.1
Ease of Use
Average: 8.7
Seller Details
Seller
Spotfire
Company Website
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
103 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data scie

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 50% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AtScale features and usability ratings that predict user satisfaction
    9.2
    Data Security
    Average: 8.8
    10.0
    Orchestration
    Average: 8.5
    9.2
    Application Performance
    Average: 8.6
    8.3
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AtScale
    Year Founded
    2013
    HQ Location
    Boston, Massachusetts, United States
    Twitter
    @AtScale
    1,116 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    128 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data scie

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 50% Enterprise
AtScale features and usability ratings that predict user satisfaction
9.2
Data Security
Average: 8.8
10.0
Orchestration
Average: 8.5
9.2
Application Performance
Average: 8.6
8.3
Ease of Use
Average: 8.7
Seller Details
Seller
AtScale
Year Founded
2013
HQ Location
Boston, Massachusetts, United States
Twitter
@AtScale
1,116 Twitter followers
LinkedIn® Page
www.linkedin.com
128 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    FST Network aims to revolutionize the data landscape by creating world's first cloud-native and serverless data mesh platform. Logic Operating Centre (LOC) is fully capable to "productize" and "eventi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Small-Business
    • 40% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FST Network- Logic Operating Centre features and usability ratings that predict user satisfaction
    8.3
    Data Security
    Average: 8.8
    8.9
    Orchestration
    Average: 8.5
    8.9
    Application Performance
    Average: 8.6
    7.8
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Singapore, SG
    Twitter
    @FSTNetworkTW
    4,229 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

FST Network aims to revolutionize the data landscape by creating world's first cloud-native and serverless data mesh platform. Logic Operating Centre (LOC) is fully capable to "productize" and "eventi

Users
No information available
Industries
No information available
Market Segment
  • 60% Small-Business
  • 40% Mid-Market
FST Network- Logic Operating Centre features and usability ratings that predict user satisfaction
8.3
Data Security
Average: 8.8
8.9
Orchestration
Average: 8.5
8.9
Application Performance
Average: 8.6
7.8
Ease of Use
Average: 8.7
Seller Details
Year Founded
2018
HQ Location
Singapore, SG
Twitter
@FSTNetworkTW
4,229 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accelerate time-to-value with Data-as-a-Service – Simpler, Faster unstructured data across the hybrid cloud without the limitations of storage silos.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 33% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hammerspace features and usability ratings that predict user satisfaction
    6.7
    Data Security
    Average: 8.8
    3.3
    Orchestration
    Average: 8.5
    7.5
    Application Performance
    Average: 8.6
    6.7
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    San Mateo, US
    Twitter
    @Hammerspace_Inc
    708 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    231 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Accelerate time-to-value with Data-as-a-Service – Simpler, Faster unstructured data across the hybrid cloud without the limitations of storage silos.

Users
No information available
Industries
No information available
Market Segment
  • 33% Enterprise
  • 33% Mid-Market
Hammerspace features and usability ratings that predict user satisfaction
6.7
Data Security
Average: 8.8
3.3
Orchestration
Average: 8.5
7.5
Application Performance
Average: 8.6
6.7
Ease of Use
Average: 8.7
Seller Details
Year Founded
2018
HQ Location
San Mateo, US
Twitter
@Hammerspace_Inc
708 Twitter followers
LinkedIn® Page
www.linkedin.com
231 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Spectrum Data Federation lets you access, integrate, virtualize, and synchronize data from a wide variety of applications and systems for more effective business intelligence, analytics, customer expe

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Spectrum Data Federation features and usability ratings that predict user satisfaction
    6.7
    Data Security
    Average: 8.8
    6.7
    Orchestration
    Average: 8.5
    6.7
    Application Performance
    Average: 8.6
    10.0
    Ease of Use
    Average: 8.7
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Precisely
    HQ Location
    Burlington, Massachusetts
    Twitter
    @PreciselyData
    3,989 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,938 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Spectrum Data Federation lets you access, integrate, virtualize, and synchronize data from a wide variety of applications and systems for more effective business intelligence, analytics, customer expe

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Spectrum Data Federation features and usability ratings that predict user satisfaction
6.7
Data Security
Average: 8.8
6.7
Orchestration
Average: 8.5
6.7
Application Performance
Average: 8.6
10.0
Ease of Use
Average: 8.7
Seller Details
Seller
Precisely
HQ Location
Burlington, Massachusetts
Twitter
@PreciselyData
3,989 Twitter followers
LinkedIn® Page
www.linkedin.com
2,938 employees on LinkedIn®