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Best Big Data Analytics Software - Page 4

Blue Bowen
BB
Researched and written by Blue Bowen

Big data analytics software provides insights into large data sets that are collected from big data clusters. These tools help business users digest data trends, patterns, and anomalies and synthesize the information into understandable data visualizations, reports, and dashboards. Because of the unstructured nature of big data clusters, these analytics solutions often require a query language to pull the data out of the file system. Some solutions may offer self-service features so that non-technical employees can assemble their own charts and graphs from big data sets.

Some big data analytics solutions offer features powered by machine learning, such as natural language processing, allowing the user to query company data in a natural manner. Big data analytics software is commonly used at companies running Hadoop in conjunction with big data processing and distribution software to collect and store data. In addition, these products typically integrate with data warehouse software, the central storage hub for a company’s integrated data.

Big data analytics software differs from analytics platforms inasmuch as the former are solely focused on the manipulation of complex and large scale big data clusters into understandable visualizations, while the latter are geared toward a wide range of data sources and connectors. The two categories are mutually exclusive, and those products which are solely focused on big data use cases are only categorized in the big data analytics category.

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

Consume data, query file systems, and connect directly to big data clusters
Allow users to prepare complex big data sets into helpful and understandable data visualizations
Create business-applicable reports, visualizations, and dashboards based on discoveries inside the data sets
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Featured Big Data Analytics Software At A Glance

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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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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CelerData Cloud Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    3
    Fast Querying
    3
    Performance
    3
    Fast Communication
    2
    Fast Processing
    2
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CelerData Cloud features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.9
    0.0
    No information available
    10.0
    Real-Time Analytics
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CelerData
    Company Website
    Year Founded
    2022
    HQ Location
    Menlo Park, US
    LinkedIn® Page
    www.linkedin.com
    65 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof a

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
CelerData Cloud Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
3
Fast Querying
3
Performance
3
Fast Communication
2
Fast Processing
2
Cons
This product has not yet received any negative sentiments.
CelerData Cloud features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.9
0.0
No information available
10.0
Real-Time Analytics
Average: 8.4
0.0
No information available
Seller Details
Seller
CelerData
Company Website
Year Founded
2022
HQ Location
Menlo Park, US
LinkedIn® Page
www.linkedin.com
65 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable i

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudera Data Flow features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.9
    9.2
    Multi-Source Analysis
    Average: 8.5
    6.7
    Real-Time Analytics
    Average: 8.4
    8.3
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cloudera
    Year Founded
    2008
    HQ Location
    Palo Alto, CA
    Twitter
    @cloudera
    106,880 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,292 employees on LinkedIn®
    Phone
    888-789-1488
Product Description
How are these determined?Information
This description is provided by the seller.

Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable i

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Mid-Market
Cloudera Data Flow features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.9
9.2
Multi-Source Analysis
Average: 8.5
6.7
Real-Time Analytics
Average: 8.4
8.3
Data Workflow
Average: 8.4
Seller Details
Seller
Cloudera
Year Founded
2008
HQ Location
Palo Alto, CA
Twitter
@cloudera
106,880 Twitter followers
LinkedIn® Page
www.linkedin.com
3,292 employees on LinkedIn®
Phone
888-789-1488

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastru

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DoubleCloud 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
    Cost-Effective
    1
    Customer Support
    1
    Pricing
    1
    Pricing Models
    1
    Setup Ease
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DoubleCloud features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.9
    9.2
    Multi-Source Analysis
    Average: 8.5
    10.0
    Real-Time Analytics
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2022
    HQ Location
    Dubai, AE
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

DoubleCloud is winding down operations. The company ceased creating new accounts on October 1, 2024, and will completely close on March 1, 2025. DoubleCloud specialized in data analytics infrastru

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
DoubleCloud 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
Cost-Effective
1
Customer Support
1
Pricing
1
Pricing Models
1
Setup Ease
1
Cons
This product has not yet received any negative sentiments.
DoubleCloud features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.9
9.2
Multi-Source Analysis
Average: 8.5
10.0
Real-Time Analytics
Average: 8.4
0.0
No information available
Seller Details
Year Founded
2022
HQ Location
Dubai, AE
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Exploratory 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
    ML Modeling
    1
    Problem Solving
    1
    Productivity Improvement
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Exploratory features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Multi-Source Analysis
    Average: 8.5
    3.3
    Real-Time Analytics
    Average: 8.4
    8.3
    Data Workflow
    Average: 8.4
  • 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.

Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Exploratory 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
ML Modeling
1
Problem Solving
1
Productivity Improvement
1
Cons
This product has not yet received any negative sentiments.
Exploratory features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.9
8.3
Multi-Source Analysis
Average: 8.5
3.3
Real-Time Analytics
Average: 8.4
8.3
Data Workflow
Average: 8.4
Seller Details
HQ Location
N/A
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.

    Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kinetica 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
    Analytics Power
    2
    Data Analysis
    2
    Efficiency
    2
    Insights
    2
    Real-Time Data
    2
    Cons
    Expensive
    2
    Pricing Issues
    2
    Complexity
    1
    Complex Usage
    1
    Cost
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kinetica features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.9
    6.7
    Multi-Source Analysis
    Average: 8.5
    6.7
    Real-Time Analytics
    Average: 8.4
    8.3
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kinetica
    Year Founded
    2016
    HQ Location
    Arlington, Virginia, United States
    Twitter
    @KineticaHQ
    3,507 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    71 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joi

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Kinetica 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
Analytics Power
2
Data Analysis
2
Efficiency
2
Insights
2
Real-Time Data
2
Cons
Expensive
2
Pricing Issues
2
Complexity
1
Complex Usage
1
Cost
1
Kinetica features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.9
6.7
Multi-Source Analysis
Average: 8.5
6.7
Real-Time Analytics
Average: 8.4
8.3
Data Workflow
Average: 8.4
Seller Details
Seller
Kinetica
Year Founded
2016
HQ Location
Arlington, Virginia, United States
Twitter
@KineticaHQ
3,507 Twitter followers
LinkedIn® Page
www.linkedin.com
71 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Multiple users can explore data, then interactively create and refine predictive models. Distributed, in-memory processing slashes model development time, quickly surfacing valuable insights you can a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 52% Enterprise
    • 32% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Visual Statistics 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
    Analytics
    2
    Ease of Use
    2
    Reporting
    2
    Cloud Storage
    1
    Cost Saving
    1
    Cons
    Expensive
    2
    Customization Difficulty
    1
    Dependency Issues
    1
    Learning Curve
    1
    Learning Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Visual Statistics features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.9
    6.7
    Multi-Source Analysis
    Average: 8.5
    6.7
    Real-Time Analytics
    Average: 8.4
    6.7
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,221 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,116 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

Multiple users can explore data, then interactively create and refine predictive models. Distributed, in-memory processing slashes model development time, quickly surfacing valuable insights you can a

Users
No information available
Industries
No information available
Market Segment
  • 52% Enterprise
  • 32% Small-Business
SAS Visual Statistics 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
Analytics
2
Ease of Use
2
Reporting
2
Cloud Storage
1
Cost Saving
1
Cons
Expensive
2
Customization Difficulty
1
Dependency Issues
1
Learning Curve
1
Learning Difficulty
1
SAS Visual Statistics features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.9
6.7
Multi-Source Analysis
Average: 8.5
6.7
Real-Time Analytics
Average: 8.4
6.7
Data Workflow
Average: 8.4
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,221 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
Phone
1-800-727-0025
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterpri

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 63% Small-Business
    • 38% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Timbr 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
    SQL Support
    3
    Data Management
    2
    Ease of Use
    2
    Features
    2
    Query Efficiency
    2
    Cons
    Learning Curve
    3
    Training Deficiencies
    2
    Complex Usability
    1
    Expensive
    1
    Limited Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Timbr features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Multi-Source Analysis
    Average: 8.5
    10.0
    Real-Time Analytics
    Average: 8.4
    8.3
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Timbr.ai
    Year Founded
    2018
    HQ Location
    Raanana , IL
    LinkedIn® Page
    www.linkedin.com
    9 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterpri

Users
No information available
Industries
No information available
Market Segment
  • 63% Small-Business
  • 38% Enterprise
Timbr 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
SQL Support
3
Data Management
2
Ease of Use
2
Features
2
Query Efficiency
2
Cons
Learning Curve
3
Training Deficiencies
2
Complex Usability
1
Expensive
1
Limited Customization
1
Timbr features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Multi-Source Analysis
Average: 8.5
10.0
Real-Time Analytics
Average: 8.4
8.3
Data Workflow
Average: 8.4
Seller Details
Seller
Timbr.ai
Year Founded
2018
HQ Location
Raanana , IL
LinkedIn® Page
www.linkedin.com
9 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Store and query unlimited machine data with Axiom’s Cloud Native data insight platform.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Axiom features and usability ratings that predict user satisfaction
    0.0
    No information available
    5.0
    Multi-Source Analysis
    Average: 8.5
    5.0
    Real-Time Analytics
    Average: 8.4
    5.0
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Axiom
    Year Founded
    2020
    HQ Location
    San Francisco, US
    LinkedIn® Page
    linkedin.com
    61 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Store and query unlimited machine data with Axiom’s Cloud Native data insight platform.

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Axiom features and usability ratings that predict user satisfaction
0.0
No information available
5.0
Multi-Source Analysis
Average: 8.5
5.0
Real-Time Analytics
Average: 8.4
5.0
Data Workflow
Average: 8.4
Seller Details
Seller
Axiom
Year Founded
2020
HQ Location
San Francisco, US
LinkedIn® Page
linkedin.com
61 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabl

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ChaosSearch Data Lake Platform features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.2
    Multi-Source Analysis
    Average: 8.5
    9.2
    Real-Time Analytics
    Average: 8.4
    9.2
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Boston, US
    Twitter
    @CHAOSSEARCH
    766 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    26 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabl

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
ChaosSearch Data Lake Platform features and usability ratings that predict user satisfaction
0.0
No information available
9.2
Multi-Source Analysis
Average: 8.5
9.2
Real-Time Analytics
Average: 8.4
9.2
Data Workflow
Average: 8.4
Seller Details
Year Founded
2017
HQ Location
Boston, US
Twitter
@CHAOSSEARCH
766 Twitter followers
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.

    ETHoS™ is an AI-driven precision care platform developed by Standpoint Software, designed to enhance the performance of physician-led care teams in perioperative settings. By integrating machine learn

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ETHoS. features and usability ratings that predict user satisfaction
    0.0
    No information available
    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
    2019
    HQ Location
    Seattle, US
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

ETHoS™ is an AI-driven precision care platform developed by Standpoint Software, designed to enhance the performance of physician-led care teams in perioperative settings. By integrating machine learn

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
ETHoS. features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2019
HQ Location
Seattle, US
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.

    A DATA HUB that provides the missing “layer” in an ANALYTICS Data-Driven landscape to IT teams using Data Analytics solutions such as Tableau®, Excel®, Talend, Qlik®, Power BI®, DATAIKU® or MicroStrat

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • INDEXIMA Data Hub features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Multi-Source Analysis
    Average: 8.5
    10.0
    Real-Time Analytics
    Average: 8.4
    10.0
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    INDEXIMA
    Year Founded
    2016
    HQ Location
    Paris, FR
    Twitter
    @indexima
    297 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

A DATA HUB that provides the missing “layer” in an ANALYTICS Data-Driven landscape to IT teams using Data Analytics solutions such as Tableau®, Excel®, Talend, Qlik®, Power BI®, DATAIKU® or MicroStrat

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
INDEXIMA Data Hub features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Multi-Source Analysis
Average: 8.5
10.0
Real-Time Analytics
Average: 8.4
10.0
Data Workflow
Average: 8.4
Seller Details
Seller
INDEXIMA
Year Founded
2016
HQ Location
Paris, FR
Twitter
@indexima
297 Twitter followers
LinkedIn® Page
www.linkedin.com
7 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kognitio is a mature SQL engine for your Hadoop cluster or your data warehouse. It allows businesses to gain ROI from big data projects by providing interactive BI on big data for business users who c

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kognitio features and usability ratings that predict user satisfaction
    0.0
    No information available
    5.0
    Multi-Source Analysis
    Average: 8.5
    5.0
    Real-Time Analytics
    Average: 8.4
    3.3
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kognitio
    Year Founded
    1987
    HQ Location
    N/A
    Twitter
    @kognitio
    2,308 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.

Kognitio is a mature SQL engine for your Hadoop cluster or your data warehouse. It allows businesses to gain ROI from big data projects by providing interactive BI on big data for business users who c

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Kognitio features and usability ratings that predict user satisfaction
0.0
No information available
5.0
Multi-Source Analysis
Average: 8.5
5.0
Real-Time Analytics
Average: 8.4
3.3
Data Workflow
Average: 8.4
Seller Details
Seller
Kognitio
Year Founded
1987
HQ Location
N/A
Twitter
@kognitio
2,308 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.

    Kpow is a sophisticated enterprise Kafka management tool designed to enhance the experience of engineering teams by providing a comprehensive solution for managing, monitoring, exploring, and securing

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Mid-Market
    • 25% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kpow for Apache Kafka® 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
    Affordability
    1
    Setup Ease
    1
    User Interface
    1
    Cons
    Data Management Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kpow for Apache Kafka® features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.9
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2019
    HQ Location
    Melbourne, AU
    Twitter
    @factorhousehq
    126 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    15 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kpow is a sophisticated enterprise Kafka management tool designed to enhance the experience of engineering teams by providing a comprehensive solution for managing, monitoring, exploring, and securing

Users
No information available
Industries
No information available
Market Segment
  • 50% Mid-Market
  • 25% Enterprise
Kpow for Apache Kafka® 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
Affordability
1
Setup Ease
1
User Interface
1
Cons
Data Management Issues
1
Kpow for Apache Kafka® features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.9
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Company Website
Year Founded
2019
HQ Location
Melbourne, AU
Twitter
@factorhousehq
126 Twitter followers
LinkedIn® Page
www.linkedin.com
15 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Mindtree Data Analytics is an adoptable data analytics platform with industry-specific machine learning algorithms.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mindtree Data Analytics features and usability ratings that predict user satisfaction
    5.0
    Has the product been a good partner in doing business?
    Average: 8.9
    6.7
    Multi-Source Analysis
    Average: 8.5
    0.0
    No information available
    6.7
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Bangalore, India
    Twitter
    @Mindtree_Ltd
    78,546 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    20,107 employees on LinkedIn®
    Ownership
    BSE: 532819
Product Description
How are these determined?Information
This description is provided by the seller.

Mindtree Data Analytics is an adoptable data analytics platform with industry-specific machine learning algorithms.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Mindtree Data Analytics features and usability ratings that predict user satisfaction
5.0
Has the product been a good partner in doing business?
Average: 8.9
6.7
Multi-Source Analysis
Average: 8.5
0.0
No information available
6.7
Data Workflow
Average: 8.4
Seller Details
Year Founded
1999
HQ Location
Bangalore, India
Twitter
@Mindtree_Ltd
78,546 Twitter followers
LinkedIn® Page
www.linkedin.com
20,107 employees on LinkedIn®
Ownership
BSE: 532819
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Build your ML/AI and data pipelines 20X faster with low-code Sparkflows studio and deploy your models in production at speeds in-line with the business needs.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Sparkflows Data Science & Analytics Platform features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Multi-Source Analysis
    Average: 8.5
    10.0
    Real-Time Analytics
    Average: 8.4
    10.0
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2016
    HQ Location
    San Jose, US
    LinkedIn® Page
    www.linkedin.com
    30 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Build your ML/AI and data pipelines 20X faster with low-code Sparkflows studio and deploy your models in production at speeds in-line with the business needs.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Sparkflows Data Science & Analytics Platform features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Multi-Source Analysis
Average: 8.5
10.0
Real-Time Analytics
Average: 8.4
10.0
Data Workflow
Average: 8.4
Seller Details
Year Founded
2016
HQ Location
San Jose, US
LinkedIn® Page
www.linkedin.com
30 employees on LinkedIn®