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Best Big Data Analytics Software with Spark Integration Capabilities

Benefits of Big Data Analytics Software with Spark Integration capabilities include: Aligns processing and distribution workflows on top of Apache Spark
Below are the top-rated Big Data Analytics Software with Spark Integration capabilities, as verified by G2’s Research team. Real users have identified Spark Integration as an important function of Big Data Analytics Software. Compare different products that offer this feature so you can decide which is best for your business needs.
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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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10 Listings in Big Data Analytics Available
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Azure Databricks
(229)4.5 out of 5
10th Easiest To Use in Big Data Analytics software
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data scien

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Azure Databricks Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    Features
    8
    Integrations
    5
    Speed
    4
    Analytics
    3
    Cons
    Complexity
    3
    Difficult Setup
    3
    Expensive
    3
    Learning Curve
    3
    Slow Performance
    3
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Databricks features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.9
    9.0
    Multi-Source Analysis
    Average: 8.5
    8.9
    Real-Time Analytics
    Average: 8.4
    8.6
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,085,372 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data scien

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 26% Mid-Market
Azure Databricks Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
Features
8
Integrations
5
Speed
4
Analytics
3
Cons
Complexity
3
Difficult Setup
3
Expensive
3
Learning Curve
3
Slow Performance
3
View All Pros and Cons
Azure Databricks features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.9
9.0
Multi-Source Analysis
Average: 8.5
8.9
Real-Time Analytics
Average: 8.4
8.6
Data Workflow
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,085,372 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
Alteryx
(671)4.6 out of 5
Optimized for quick response
9th Easiest To Use in Big Data Analytics software
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Entry Level Price:$3,000.00
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 62% Enterprise
    • 22% 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.
    • Alteryx is a data science and analytics platform that offers features such as ETL tool, drag and drop workflow automation, and the ability to automate repetitive tasks.
    • Reviewers like the platform's ease of use, its ability to handle large databases efficiently, and its drag-and-drop interface that transforms time-consuming manual data tasks into efficient automated ones.
    • Reviewers mentioned issues such as high licensing costs, limited data visualization capabilities, and occasional software crashes.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Alteryx 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
    327
    Automation
    143
    Intuitive
    130
    Easy Learning
    102
    Problem Solving
    101
    Cons
    Expensive
    87
    Learning Curve
    79
    Missing Features
    62
    Learning Difficulty
    53
    Slow Performance
    40
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Alteryx features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.9
    8.9
    Multi-Source Analysis
    Average: 8.5
    8.4
    Real-Time Analytics
    Average: 8.4
    9.1
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,288 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,265 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier perf

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 62% Enterprise
  • 22% 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.
  • Alteryx is a data science and analytics platform that offers features such as ETL tool, drag and drop workflow automation, and the ability to automate repetitive tasks.
  • Reviewers like the platform's ease of use, its ability to handle large databases efficiently, and its drag-and-drop interface that transforms time-consuming manual data tasks into efficient automated ones.
  • Reviewers mentioned issues such as high licensing costs, limited data visualization capabilities, and occasional software crashes.
Alteryx 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
327
Automation
143
Intuitive
130
Easy Learning
102
Problem Solving
101
Cons
Expensive
87
Learning Curve
79
Missing Features
62
Learning Difficulty
53
Slow Performance
40
View All Pros and Cons
Alteryx features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.9
8.9
Multi-Source Analysis
Average: 8.5
8.4
Real-Time Analytics
Average: 8.4
9.1
Data Workflow
Average: 8.4
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,288 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
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Azure Data Lake Analytics
(37)4.2 out of 5
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Data Lake Analytics features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.9
    7.9
    Multi-Source Analysis
    Average: 8.5
    8.1
    Real-Time Analytics
    Average: 8.4
    8.5
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,085,372 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Lake Analytics is a distributed, cloud-based data processing architecture offered by Microsoft in the Azure cloud. It is based on YARN, the same as the open-source Hadoop platform.

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Enterprise
  • 27% Mid-Market
Azure Data Lake Analytics features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.9
7.9
Multi-Source Analysis
Average: 8.5
8.1
Real-Time Analytics
Average: 8.4
8.5
Data Workflow
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,085,372 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
MATLAB
(766)4.5 out of 5
View top Consulting Services for MATLAB
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop envi

    Users
    • Student
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Research
    Market Segment
    • 42% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • MATLAB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    16
    Features
    13
    Data Visualization
    10
    Simulation
    8
    Tools Variety
    8
    Cons
    Expensive
    8
    Slow Performance
    7
    High System Requirements
    6
    Lagging Performance
    4
    Learning Curve
    4
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • MATLAB features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.9
    8.4
    Multi-Source Analysis
    Average: 8.5
    8.7
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    102,333 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,768 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop envi

Users
  • Student
  • Graduate Research Assistant
Industries
  • Higher Education
  • Research
Market Segment
  • 42% Enterprise
  • 31% Small-Business
MATLAB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
16
Features
13
Data Visualization
10
Simulation
8
Tools Variety
8
Cons
Expensive
8
Slow Performance
7
High System Requirements
6
Lagging Performance
4
Learning Curve
4
View All Pros and Cons
MATLAB features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.9
8.4
Multi-Source Analysis
Average: 8.5
8.7
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.4
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
102,333 Twitter followers
LinkedIn® Page
www.linkedin.com
7,768 employees on LinkedIn®
IBM Cloud Pak for Data
(88)4.3 out of 5
View top Consulting Services for IBM Cloud Pak for Data
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM Cloud Pak for Data 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 Capabilities
    1
    AI Features
    1
    Analytics
    1
    Automation
    1
    Customization
    1
    Cons
    Complex Implementation
    1
    Complexity
    1
    Complexity Issues
    1
    Complex Setup
    1
    Difficult Setup
    1
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.9
    8.1
    Multi-Source Analysis
    Average: 8.5
    8.5
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,686 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 Cloud Pak® for Data is a fully integrated data and AI platform that modernizes how businesses collect, organize and analyze data, forming the foundation to infuse AI across their organization. Run

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 28% Small-Business
IBM Cloud Pak for Data 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 Capabilities
1
AI Features
1
Analytics
1
Automation
1
Customization
1
Cons
Complex Implementation
1
Complexity
1
Complexity Issues
1
Complex Setup
1
Difficult Setup
1
View All Pros and Cons
IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.9
8.1
Multi-Source Analysis
Average: 8.5
8.5
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,686 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
Confluent
(113)4.4 out of 5
12th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Confluent 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
    Cloud Computing
    1
    Cloud Services
    1
    Connectors
    1
    Data Integration
    1
    Documentation
    1
    Cons
    Cost Estimation
    1
    Expensive
    1
    Initial Difficulties
    1
    Lack of Features
    1
    Learning Curve
    1
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Confluent features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Multi-Source Analysis
    Average: 8.5
    8.9
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,577 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,654 employees on LinkedIn®
    Ownership
    NASDAQ: CFLT
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 35% Small-Business
Confluent 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
Cloud Computing
1
Cloud Services
1
Connectors
1
Data Integration
1
Documentation
1
Cons
Cost Estimation
1
Expensive
1
Initial Difficulties
1
Lack of Features
1
Learning Curve
1
View All Pros and Cons
Confluent features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.9
8.3
Multi-Source Analysis
Average: 8.5
8.9
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.4
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,577 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
Cloudera
(38)4.0 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Cloudera, we believe data can make what is impossible today, possible tomorrow. We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI. We enable people to transform vast a

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 24% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Cloudera features and usability ratings that predict user satisfaction
    7.8
    Has the product been a good partner in doing business?
    Average: 8.9
    8.5
    Multi-Source Analysis
    Average: 8.5
    7.0
    Real-Time Analytics
    Average: 8.4
    8.0
    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
    106,750 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,338 employees on LinkedIn®
    Phone
    888-789-1488
Product Description
How are these determined?Information
This description is provided by the seller.

At Cloudera, we believe data can make what is impossible today, possible tomorrow. We deliver an enterprise data cloud for any data, anywhere, from the Edge to AI. We enable people to transform vast a

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 24% Small-Business
Cloudera features and usability ratings that predict user satisfaction
7.8
Has the product been a good partner in doing business?
Average: 8.9
8.5
Multi-Source Analysis
Average: 8.5
7.0
Real-Time Analytics
Average: 8.4
8.0
Data Workflow
Average: 8.4
Seller Details
Seller
Cloudera
Year Founded
2008
HQ Location
Palo Alto, CA
Twitter
@cloudera
106,750 Twitter followers
LinkedIn® Page
www.linkedin.com
3,338 employees on LinkedIn®
Phone
888-789-1488
Qubole
(259)4.0 out of 5
13th Easiest To Use in Big Data Analytics software
Save to My Lists
Entry Level Price:30 day free trial
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 44% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Qubole features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Multi-Source Analysis
    Average: 8.5
    8.0
    Real-Time Analytics
    Average: 8.4
    7.8
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Qubole
    Year Founded
    2011
    HQ Location
    Santa Clara, CA
    Twitter
    @qubole
    9,508 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Qubole is the open data lake company that provides a simple and secure data lake platform for machine learning, streaming, and ad-hoc analytics. No other platform provides the openness and data worklo

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 44% Mid-Market
Qubole features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.9
8.3
Multi-Source Analysis
Average: 8.5
8.0
Real-Time Analytics
Average: 8.4
7.8
Data Workflow
Average: 8.4
Seller Details
Seller
Qubole
Year Founded
2011
HQ Location
Santa Clara, CA
Twitter
@qubole
9,508 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
Apache Pig
(21)3.9 out of 5
Save to My Lists
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The sali

    Users
    No information available
    Industries
    • Computer Software
    • Internet
    Market Segment
    • 62% Enterprise
    • 19% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Apache Pig features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.9
    7.8
    Multi-Source Analysis
    Average: 8.5
    8.3
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    The Apache Software Foundation
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    65,970 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,345 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The sali

Users
No information available
Industries
  • Computer Software
  • Internet
Market Segment
  • 62% Enterprise
  • 19% Mid-Market
Apache Pig features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.9
7.8
Multi-Source Analysis
Average: 8.5
8.3
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.4
Seller Details
Seller
The Apache Software Foundation
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
65,970 Twitter followers
LinkedIn® Page
www.linkedin.com
2,345 employees on LinkedIn®
Arcadia Enterprise
(15)3.6 out of 5
15th Easiest To Use in Big Data Analytics software
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  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insigh

    Users
    No information available
    Industries
    • Banking
    Market Segment
    • 80% Enterprise
    • 20% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Arcadia Enterprise features and usability ratings that predict user satisfaction
    7.6
    Has the product been a good partner in doing business?
    Average: 8.9
    7.9
    Multi-Source Analysis
    Average: 8.5
    6.1
    Real-Time Analytics
    Average: 8.4
    6.7
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Arcadia Data
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @arcadiadata
    1,105 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    6 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Arcadia Data provides the first visual analytics and BI platform native to big data that delivers the scale, performance, and agility business users need to discover and productionize real-time insigh

Users
No information available
Industries
  • Banking
Market Segment
  • 80% Enterprise
  • 20% Mid-Market
Arcadia Enterprise features and usability ratings that predict user satisfaction
7.6
Has the product been a good partner in doing business?
Average: 8.9
7.9
Multi-Source Analysis
Average: 8.5
6.1
Real-Time Analytics
Average: 8.4
6.7
Data Workflow
Average: 8.4
Seller Details
Seller
Arcadia Data
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@arcadiadata
1,105 Twitter followers
LinkedIn® Page
www.linkedin.com
6 employees on LinkedIn®
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