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Best Data Fabric Software - Page 2

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Data fabric software is a unified data platform that enables organizations to integrate their data and data management processes. Adopting a data fabric allows for the creation of complete views of their data, helping power existing processes and applications and enabling the rapid development of new use cases. A data fabric is not just a single solution but an entire data ecosystem that connects disparate data sources and infrastructure types across locations (on-premises, in the cloud, or hybrid environments), enabling analysis without onerous data integration requirements. The software offers benefits such as the ability to explore and extract value from any form of data regardless of location by connecting stores of structured and unstructured data. It provides centralized access via a single, unified view of an organization's data that inherits access and governance restrictions.

Companies use data fabric software to gain greater visibility into often highly complex and heterogeneous data landscapes. Data fabric software offers deeper insights and control over their data irrespective of where it sits, enabling better business decisions and strategies. Helping businesses become data-driven is key to the emergence of data fabric software and it can be adopted by any industry vertical. Fraud detection and security management, sales and marketing management, and governance and compliance management are some of the major use cases driving the growth of data fabric.

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

Perform data management processes on a single unified platform
Pull and connect or collaborate on data from disparate sources across locations
Manage data across all environments (multi-cloud and on-premises)
Allow single, seamless access and control to data across sources and types
Provide analytics tools and connectivity to other analytical solutions
Offer metadata functionality with data currency and data lineage capabilities
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70 Listings in Data Fabric Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TENGU originated in 2016 as a solution to automate non-value generating tasks and more quickly set up data architectures, so there would be more time to dedicate to gaining actionable insights. In 202

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Mid-Market
    • 38% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tengu DataOps platform features and usability ratings that predict user satisfaction
    9.0
    Governance
    Average: 8.9
    9.2
    Data Integration
    Average: 8.7
    8.6
    Ease of Use
    Average: 8.7
    9.4
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tengu
    Year Founded
    2016
    HQ Location
    Gent, (Oost-Vlaanderen)
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TENGU originated in 2016 as a solution to automate non-value generating tasks and more quickly set up data architectures, so there would be more time to dedicate to gaining actionable insights. In 202

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Mid-Market
  • 38% Small-Business
Tengu DataOps platform features and usability ratings that predict user satisfaction
9.0
Governance
Average: 8.9
9.2
Data Integration
Average: 8.7
8.6
Ease of Use
Average: 8.7
9.4
Data Protection
Average: 8.9
Seller Details
Seller
Tengu
Year Founded
2016
HQ Location
Gent, (Oost-Vlaanderen)
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Access 1000s of APIs and get the data you need.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 73% Small-Business
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SyncWith 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
    Easy Setup
    1
    Cons
    Bugs
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SyncWith features and usability ratings that predict user satisfaction
    7.8
    Governance
    Average: 8.9
    9.4
    Data Integration
    Average: 8.7
    8.3
    Ease of Use
    Average: 8.7
    9.0
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SyncWith
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    5 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Access 1000s of APIs and get the data you need.

Users
No information available
Industries
No information available
Market Segment
  • 73% Small-Business
  • 27% Mid-Market
SyncWith 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
Easy Setup
1
Cons
Bugs
1
SyncWith features and usability ratings that predict user satisfaction
7.8
Governance
Average: 8.9
9.4
Data Integration
Average: 8.7
8.3
Ease of Use
Average: 8.7
9.0
Data Protection
Average: 8.9
Seller Details
Seller
SyncWith
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
5 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.

    Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 53% Mid-Market
    • 40% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Atlan 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
    23
    Features
    17
    User Interface
    15
    Data Lineage
    14
    Integrations
    12
    Cons
    Limited Functionality
    7
    Lacking Features
    6
    Missing Features
    6
    Data Lineage Issues
    5
    Integration Issues
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Atlan features and usability ratings that predict user satisfaction
    8.3
    Governance
    Average: 8.9
    8.3
    Data Integration
    Average: 8.7
    9.0
    Ease of Use
    Average: 8.7
    7.5
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Atlan
    Company Website
    Year Founded
    2019
    HQ Location
    New York, US
    Twitter
    @AtlanHQ
    9,598 Twitter followers
    LinkedIn® Page
    in.linkedin.com
    548 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Built by a data team, for data teams, Atlan is THE Active Metadata platform for enterprises to find, trust, and govern AI-ready data, and a leader in The Forrester Wave™: Enterprise Data Catalogs, Q3

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 53% Mid-Market
  • 40% Enterprise
Atlan 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
23
Features
17
User Interface
15
Data Lineage
14
Integrations
12
Cons
Limited Functionality
7
Lacking Features
6
Missing Features
6
Data Lineage Issues
5
Integration Issues
5
Atlan features and usability ratings that predict user satisfaction
8.3
Governance
Average: 8.9
8.3
Data Integration
Average: 8.7
9.0
Ease of Use
Average: 8.7
7.5
Data Protection
Average: 8.9
Seller Details
Seller
Atlan
Company Website
Year Founded
2019
HQ Location
New York, US
Twitter
@AtlanHQ
9,598 Twitter followers
LinkedIn® Page
in.linkedin.com
548 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.

    Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

    Users
    No information available
    Industries
    • Telecommunications
    Market Segment
    • 50% Enterprise
    • 33% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • ILUM is a data management platform that allows users to manage and monitor their Spark cluster in an on-premise environment or in the cloud, providing a unified, version-controlled, and traceable system for handling complex engineering data.
    • Reviewers frequently mention the ease of launching Spark jobs, the time-saving interactive session management, the intuitive web UI, and the platform's flexibility and scalability as key benefits of using ILUM.
    • Users reported that ILUM can be challenging for beginners, especially those unfamiliar with K8S, and that the UI can feel minimalistic, while some tasks, like setting up automatic data ingestion, require custom configuration.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ILUM 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
    Features
    12
    Ease of Use
    11
    Integrations
    11
    Efficiency
    10
    Flexibility
    10
    Cons
    Complex Setup
    6
    Difficult Setup
    6
    UX Improvement
    6
    Complexity
    5
    Complex UI
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ILUM features and usability ratings that predict user satisfaction
    10.0
    Governance
    Average: 8.9
    10.0
    Data Integration
    Average: 8.7
    9.3
    Ease of Use
    Average: 8.7
    10.0
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ilum
    Company Website
    Year Founded
    2019
    HQ Location
    Santa Fe, US
    Twitter
    @IlumCloud
    19 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

Users
No information available
Industries
  • Telecommunications
Market Segment
  • 50% Enterprise
  • 33% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • ILUM is a data management platform that allows users to manage and monitor their Spark cluster in an on-premise environment or in the cloud, providing a unified, version-controlled, and traceable system for handling complex engineering data.
  • Reviewers frequently mention the ease of launching Spark jobs, the time-saving interactive session management, the intuitive web UI, and the platform's flexibility and scalability as key benefits of using ILUM.
  • Users reported that ILUM can be challenging for beginners, especially those unfamiliar with K8S, and that the UI can feel minimalistic, while some tasks, like setting up automatic data ingestion, require custom configuration.
ILUM 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
Features
12
Ease of Use
11
Integrations
11
Efficiency
10
Flexibility
10
Cons
Complex Setup
6
Difficult Setup
6
UX Improvement
6
Complexity
5
Complex UI
5
ILUM features and usability ratings that predict user satisfaction
10.0
Governance
Average: 8.9
10.0
Data Integration
Average: 8.7
9.3
Ease of Use
Average: 8.7
10.0
Data Protection
Average: 8.9
Seller Details
Seller
Ilum
Company Website
Year Founded
2019
HQ Location
Santa Fe, US
Twitter
@IlumCloud
19 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Uffizzi drives 20-50% improvements in development velocity by empowering software development teams with ephemeral environments (also known as preview environments). By providing these environments "o

    Users
    No information available
    Industries
    • Accounting
    Market Segment
    • 63% Enterprise
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Environments as a Service 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
    1
    User Interface
    1
    Cons
    Poor Customer Support
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Environments as a Service features and usability ratings that predict user satisfaction
    7.6
    Governance
    Average: 8.9
    8.8
    Data Integration
    Average: 8.7
    9.0
    Ease of Use
    Average: 8.7
    7.9
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Uffizzi
    Year Founded
    2021
    HQ Location
    Nashville, US
    Twitter
    @Uffizzi_
    1,432 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Uffizzi drives 20-50% improvements in development velocity by empowering software development teams with ephemeral environments (also known as preview environments). By providing these environments "o

Users
No information available
Industries
  • Accounting
Market Segment
  • 63% Enterprise
  • 25% Mid-Market
Environments as a Service 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
1
User Interface
1
Cons
Poor Customer Support
1
Environments as a Service features and usability ratings that predict user satisfaction
7.6
Governance
Average: 8.9
8.8
Data Integration
Average: 8.7
9.0
Ease of Use
Average: 8.7
7.9
Data Protection
Average: 8.9
Seller Details
Seller
Uffizzi
Year Founded
2021
HQ Location
Nashville, US
Twitter
@Uffizzi_
1,432 Twitter followers
LinkedIn® Page
www.linkedin.com
3 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
    9.2
    Governance
    Average: 8.9
    10.0
    Data Integration
    Average: 8.7
    9.4
    Ease of Use
    Average: 8.7
    9.2
    Data Protection
    Average: 8.9
  • 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
9.2
Governance
Average: 8.9
10.0
Data Integration
Average: 8.7
9.4
Ease of Use
Average: 8.7
9.2
Data Protection
Average: 8.9
Seller Details
Year Founded
2007
HQ Location
Boston, Massachusetts
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    We help make AI possible for enterprises. SCIKIQ transforms scattered enterprise data into an AI-ready foundation, quickly and without heavy tech involvement. We're at an inflection point, AI is

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 36% Enterprise
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Scikiq: Comprehensive Data Management Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    5
    Data Management
    4
    Functionality
    4
    Intuitive
    3
    User Interface
    3
    Cons
    Complexity Issues
    2
    Integration Issues
    2
    Complexity
    1
    Data Management
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Scikiq: Comprehensive Data Management Platform features and usability ratings that predict user satisfaction
    10.0
    Governance
    Average: 8.9
    9.4
    Data Integration
    Average: 8.7
    9.4
    Ease of Use
    Average: 8.7
    10.0
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2023
    HQ Location
    Gurgaon
    Twitter
    @scikiq
    8 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    32 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

We help make AI possible for enterprises. SCIKIQ transforms scattered enterprise data into an AI-ready foundation, quickly and without heavy tech involvement. We're at an inflection point, AI is

Users
No information available
Industries
No information available
Market Segment
  • 36% Enterprise
  • 36% Small-Business
Scikiq: Comprehensive Data Management Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
5
Data Management
4
Functionality
4
Intuitive
3
User Interface
3
Cons
Complexity Issues
2
Integration Issues
2
Complexity
1
Data Management
1
Expensive
1
Scikiq: Comprehensive Data Management Platform features and usability ratings that predict user satisfaction
10.0
Governance
Average: 8.9
9.4
Data Integration
Average: 8.7
9.4
Ease of Use
Average: 8.7
10.0
Data Protection
Average: 8.9
Seller Details
Year Founded
2023
HQ Location
Gurgaon
Twitter
@scikiq
8 Twitter followers
LinkedIn® Page
www.linkedin.com
32 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Talend Data Fabric is a unified platform that enables you to manage all your enterprise data within a single environment. Leverage all the cloud has to offer to manage your entire data lifecycle – fro

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Talend Data Fabric features and usability ratings that predict user satisfaction
    8.3
    Governance
    Average: 8.9
    8.9
    Data Integration
    Average: 8.7
    7.9
    Ease of Use
    Average: 8.7
    8.1
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qlik
    Year Founded
    1993
    HQ Location
    Radnor, PA
    Twitter
    @qlik
    64,589 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.

Talend Data Fabric is a unified platform that enables you to manage all your enterprise data within a single environment. Leverage all the cloud has to offer to manage your entire data lifecycle – fro

Users
No information available
Industries
No information available
Market Segment
  • 42% Mid-Market
  • 33% Small-Business
Talend Data Fabric features and usability ratings that predict user satisfaction
8.3
Governance
Average: 8.9
8.9
Data Integration
Average: 8.7
7.9
Ease of Use
Average: 8.7
8.1
Data Protection
Average: 8.9
Seller Details
Seller
Qlik
Year Founded
1993
HQ Location
Radnor, PA
Twitter
@qlik
64,589 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.

    CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no lo

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Mid-Market
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Cluedin 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 Features
    1
    Customer Support
    1
    Easy Setup
    1
    Cons
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cluedin features and usability ratings that predict user satisfaction
    7.8
    Governance
    Average: 8.9
    6.1
    Data Integration
    Average: 8.7
    7.9
    Ease of Use
    Average: 8.7
    7.2
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CluedIn
    Year Founded
    2015
    HQ Location
    Copenhagen, Copenhagen
    Twitter
    @cluedinhq
    2,455 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    41 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no lo

Users
No information available
Industries
No information available
Market Segment
  • 42% Mid-Market
  • 33% Enterprise
Cluedin 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 Features
1
Customer Support
1
Easy Setup
1
Cons
Learning Curve
1
Cluedin features and usability ratings that predict user satisfaction
7.8
Governance
Average: 8.9
6.1
Data Integration
Average: 8.7
7.9
Ease of Use
Average: 8.7
7.2
Data Protection
Average: 8.9
Seller Details
Seller
CluedIn
Year Founded
2015
HQ Location
Copenhagen, Copenhagen
Twitter
@cluedinhq
2,455 Twitter followers
LinkedIn® Page
www.linkedin.com
41 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Fraxses by Intenda is a data management platform used by organisations across multiple industries. It enables organisations to connect all their data sources in a single ecosystem, with full lineage a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Small-Business
    • 40% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Fraxses features and usability ratings that predict user satisfaction
    9.4
    Governance
    Average: 8.9
    9.4
    Data Integration
    Average: 8.7
    9.6
    Ease of Use
    Average: 8.7
    9.4
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Intenda
    Year Founded
    2001
    HQ Location
    Johannesburg, ZA
    Twitter
    @Intenda
    50 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    94 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Fraxses by Intenda is a data management platform used by organisations across multiple industries. It enables organisations to connect all their data sources in a single ecosystem, with full lineage a

Users
No information available
Industries
No information available
Market Segment
  • 60% Small-Business
  • 40% Mid-Market
Fraxses features and usability ratings that predict user satisfaction
9.4
Governance
Average: 8.9
9.4
Data Integration
Average: 8.7
9.6
Ease of Use
Average: 8.7
9.4
Data Protection
Average: 8.9
Seller Details
Seller
Intenda
Year Founded
2001
HQ Location
Johannesburg, ZA
Twitter
@Intenda
50 Twitter followers
LinkedIn® Page
www.linkedin.com
94 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ndustry’s first edge to cloud data fabric that ingests and centralizes different types of data into a single logical infrastructure increasing data integrity and trust in data-driven insights.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 20% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MapR-DB features and usability ratings that predict user satisfaction
    6.7
    Governance
    Average: 8.9
    10.0
    Data Integration
    Average: 8.7
    7.9
    Ease of Use
    Average: 8.7
    8.8
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1939
    HQ Location
    Palo Alto, CA
    Twitter
    @HPE
    88,361 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    84,251 employees on LinkedIn®
    Ownership
    NYSE: HPQ
Product Description
How are these determined?Information
This description is provided by the seller.

ndustry’s first edge to cloud data fabric that ingests and centralizes different types of data into a single logical infrastructure increasing data integrity and trust in data-driven insights.

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 20% Enterprise
MapR-DB features and usability ratings that predict user satisfaction
6.7
Governance
Average: 8.9
10.0
Data Integration
Average: 8.7
7.9
Ease of Use
Average: 8.7
8.8
Data Protection
Average: 8.9
Seller Details
Year Founded
1939
HQ Location
Palo Alto, CA
Twitter
@HPE
88,361 Twitter followers
LinkedIn® Page
www.linkedin.com
84,251 employees on LinkedIn®
Ownership
NYSE: HPQ
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Promethium delivers self-service data at AI scale through its revolutionary Instant Data Fabric™ — the first agentic platform purpose-built for modern enterprises. Unlike traditional data architecture

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 46% Mid-Market
    • 31% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Promethium 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
    Insights
    4
    Analytics
    3
    Collaboration
    2
    Data Management
    2
    Data Visualization
    2
    Cons
    Complexity
    1
    Complex Usage
    1
    Difficult Learning
    1
    Lacking Features
    1
    Limited Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Promethium features and usability ratings that predict user satisfaction
    9.6
    Governance
    Average: 8.9
    8.3
    Data Integration
    Average: 8.7
    7.8
    Ease of Use
    Average: 8.7
    10.0
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2018
    HQ Location
    Menlo Park, US
    Twitter
    @PromethiumI
    372 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    41 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Promethium delivers self-service data at AI scale through its revolutionary Instant Data Fabric™ — the first agentic platform purpose-built for modern enterprises. Unlike traditional data architecture

Users
No information available
Industries
No information available
Market Segment
  • 46% Mid-Market
  • 31% Enterprise
Promethium 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
Insights
4
Analytics
3
Collaboration
2
Data Management
2
Data Visualization
2
Cons
Complexity
1
Complex Usage
1
Difficult Learning
1
Lacking Features
1
Limited Features
1
Promethium features and usability ratings that predict user satisfaction
9.6
Governance
Average: 8.9
8.3
Data Integration
Average: 8.7
7.8
Ease of Use
Average: 8.7
10.0
Data Protection
Average: 8.9
Seller Details
Year Founded
2018
HQ Location
Menlo Park, US
Twitter
@PromethiumI
372 Twitter followers
LinkedIn® Page
www.linkedin.com
41 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    StreamScape is a technology for agile data preparation and real-time analysis that offers powerful query and schema-on-read capabilities, allowing users to aggregate any data on-demand without creatin

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 60% Mid-Market
    • 20% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Streamscape features and usability ratings that predict user satisfaction
    8.7
    Governance
    Average: 8.9
    8.7
    Data Integration
    Average: 8.7
    7.7
    Ease of Use
    Average: 8.7
    7.9
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2011
    HQ Location
    NEW YORK, US
    LinkedIn® Page
    www.linkedin.com
    4 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

StreamScape is a technology for agile data preparation and real-time analysis that offers powerful query and schema-on-read capabilities, allowing users to aggregate any data on-demand without creatin

Users
No information available
Industries
No information available
Market Segment
  • 60% Mid-Market
  • 20% Enterprise
Streamscape features and usability ratings that predict user satisfaction
8.7
Governance
Average: 8.9
8.7
Data Integration
Average: 8.7
7.7
Ease of Use
Average: 8.7
7.9
Data Protection
Average: 8.9
Seller Details
Year Founded
2011
HQ Location
NEW YORK, US
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Lumada simplifies data management with automation and collaboration (DataOps). With Lumada, you can: Gain 360-degree views of your customers, products and assets. Streamline your business operations a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Lumada Platform features and usability ratings that predict user satisfaction
    10.0
    Governance
    Average: 8.9
    10.0
    Data Integration
    Average: 8.7
    10.0
    Ease of Use
    Average: 8.7
    9.4
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    Santa Clara, CA
    Twitter
    @HitachiVantara
    28,546 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,392 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Lumada simplifies data management with automation and collaboration (DataOps). With Lumada, you can: Gain 360-degree views of your customers, products and assets. Streamline your business operations a

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Lumada Platform features and usability ratings that predict user satisfaction
10.0
Governance
Average: 8.9
10.0
Data Integration
Average: 8.7
10.0
Ease of Use
Average: 8.7
9.4
Data Protection
Average: 8.9
Seller Details
HQ Location
Santa Clara, CA
Twitter
@HitachiVantara
28,546 Twitter followers
LinkedIn® Page
www.linkedin.com
10,392 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    One Data, a software company serving customers across all industries worldwide, has redefined the landscape of data product development with its market-first AI-powered Data Product Builder. Infusing

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • One Data features and usability ratings that predict user satisfaction
    9.4
    Governance
    Average: 8.9
    9.4
    Data Integration
    Average: 8.7
    9.4
    Ease of Use
    Average: 8.7
    8.9
    Data Protection
    Average: 8.9
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    One Data
    Year Founded
    2013
    HQ Location
    Munich, Bavaria, Germany
    LinkedIn® Page
    www.linkedin.com
    191 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

One Data, a software company serving customers across all industries worldwide, has redefined the landscape of data product development with its market-first AI-powered Data Product Builder. Infusing

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
One Data features and usability ratings that predict user satisfaction
9.4
Governance
Average: 8.9
9.4
Data Integration
Average: 8.7
9.4
Ease of Use
Average: 8.7
8.9
Data Protection
Average: 8.9
Seller Details
Seller
One Data
Year Founded
2013
HQ Location
Munich, Bavaria, Germany
LinkedIn® Page
www.linkedin.com
191 employees on LinkedIn®