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Best Big Data Analytics Software for Small Business

Blue Bowen
BB
Researched and written by Blue Bowen

Products classified in the overall Big Data Analytics category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Big Data Analytics to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Big Data Analytics category.

In addition to qualifying for inclusion in the Big Data Analytics Software category, to qualify for inclusion in the Small Business Big Data Analytics Software category, a product must have at least 10 reviews left by a reviewer from a small business.

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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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15 Listings in Small Business Big Data Analytics Available

(1,201)4.5 out of 5
5th Easiest To Use in Big Data Analytics software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery 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
    169
    Speed
    139
    Fast Querying
    120
    Integrations
    119
    Query Efficiency
    116
    Cons
    Expensive
    126
    Query Issues
    77
    Cost Issues
    58
    Cost Management
    58
    Learning Curve
    54
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.9
    8.7
    Multi-Source Analysis
    Average: 8.5
    8.8
    Real-Time Analytics
    Average: 8.4
    8.7
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,508,752 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 36% Mid-Market
Google Cloud BigQuery 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
169
Speed
139
Fast Querying
120
Integrations
119
Query Efficiency
116
Cons
Expensive
126
Query Issues
77
Cost Issues
58
Cost Management
58
Learning Curve
54
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.9
8.7
Multi-Source Analysis
Average: 8.5
8.8
Real-Time Analytics
Average: 8.4
8.7
Data Workflow
Average: 8.4
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,508,752 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
(634)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Big Data Analytics software
View top Consulting Services for Databricks Data Intelligence Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% 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.
    • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence 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
    Features
    266
    Ease of Use
    256
    Integrations
    178
    Collaboration
    142
    Easy Integrations
    139
    Cons
    Learning Curve
    101
    Steep Learning Curve
    88
    Expensive
    87
    Missing Features
    62
    UX Improvement
    58
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform 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
    8.8
    Real-Time Analytics
    Average: 8.4
    8.8
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    84,467 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Inte

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% 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.
  • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
Databricks Data Intelligence 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
Features
266
Ease of Use
256
Integrations
178
Collaboration
142
Easy Integrations
139
Cons
Learning Curve
101
Steep Learning Curve
88
Expensive
87
Missing Features
62
UX Improvement
58
Databricks Data Intelligence Platform 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
8.8
Real-Time Analytics
Average: 8.4
8.8
Data Workflow
Average: 8.4
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
84,467 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®

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(666)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Big Data Analytics software
View top Consulting Services for Snowflake
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Enterprise
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake 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
    84
    Features
    64
    Data Management
    61
    Integrations
    57
    Scalability
    54
    Cons
    Expensive
    46
    Cost
    26
    Cost Management
    23
    Learning Curve
    22
    Feature Limitations
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    9.1
    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
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    159 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,207 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applic

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Enterprise
  • 42% Mid-Market
Snowflake 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
84
Features
64
Data Management
61
Integrations
57
Scalability
54
Cons
Expensive
46
Cost
26
Cost Management
23
Learning Curve
22
Feature Limitations
20
Snowflake features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
9.1
Multi-Source Analysis
Average: 8.5
9.2
Real-Time Analytics
Average: 8.4
9.2
Data Workflow
Average: 8.4
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
159 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®
(227)4.5 out of 5
10th Easiest To Use in Big Data Analytics software
View top Consulting Services for Azure Databricks
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 49% 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
    8
    Features
    8
    Integrations
    4
    Interface Ease-of-Use
    4
    ML Modeling
    3
    Cons
    Expensive
    3
    Slow Performance
    3
    Unclear Pricing
    3
    Complex Usability
    2
    Cost
    2
  • 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
    8.8
    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
    13,090,087 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 49% 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
8
Features
8
Integrations
4
Interface Ease-of-Use
4
ML Modeling
3
Cons
Expensive
3
Slow Performance
3
Unclear Pricing
3
Complex Usability
2
Cost
2
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
8.8
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
13,090,087 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(665)4.6 out of 5
Optimized for quick response
8th Easiest To Use in Big Data Analytics software
View top Consulting Services for Alteryx
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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
    • 63% 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 software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
    • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
    • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
  • 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
    324
    Automation
    140
    Intuitive
    130
    Easy Learning
    101
    Problem Solving
    101
    Cons
    Expensive
    86
    Learning Curve
    80
    Missing Features
    61
    Learning Difficulty
    54
    Slow Performance
    40
  • 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
    26,365 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
  • 63% 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 software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
  • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
  • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
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
324
Automation
140
Intuitive
130
Easy Learning
101
Problem Solving
101
Cons
Expensive
86
Learning Curve
80
Missing Features
61
Learning Difficulty
54
Slow Performance
40
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
26,365 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
(93)4.4 out of 5
Optimized for quick response
6th Easiest To Use in Big Data Analytics software
View top Consulting Services for Starburst
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 6

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Starburst 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
    Fast Querying
    24
    Integrations
    22
    Ease of Use
    21
    Query Efficiency
    20
    Large Datasets
    19
    Cons
    Learning Curve
    16
    Query Issues
    14
    Slow Performance
    14
    Difficult Setup
    12
    Complexity
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Starburst features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    8.8
    Multi-Source Analysis
    Average: 8.5
    7.9
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Starburst
    Company Website
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,472 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    478 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 6

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Enterprise
  • 31% Small-Business
Starburst 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
Fast Querying
24
Integrations
22
Ease of Use
21
Query Efficiency
20
Large Datasets
19
Cons
Learning Curve
16
Query Issues
14
Slow Performance
14
Difficult Setup
12
Complexity
11
Starburst features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.8
Multi-Source Analysis
Average: 8.5
7.9
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.4
Seller Details
Seller
Starburst
Company Website
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,472 Twitter followers
LinkedIn® Page
www.linkedin.com
478 employees on LinkedIn®
(193)4.7 out of 5
3rd Easiest To Use in Big Data Analytics software
View top Consulting Services for dbt
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

    Users
    • Analytics Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Mid-Market
    • 27% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • dbt 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
    28
    Features
    14
    Automation
    13
    Data Quality
    13
    Transformation
    13
    Cons
    Limited Functionality
    8
    Complex Setup
    7
    Error Handling
    7
    Error Reporting
    6
    Feature Limitations
    6
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.9
    8.5
    Multi-Source Analysis
    Average: 8.5
    8.5
    Real-Time Analytics
    Average: 8.4
    9.4
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fivetran
    Company Website
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,686 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,682 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

Users
  • Analytics Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Mid-Market
  • 27% Small-Business
dbt 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
28
Features
14
Automation
13
Data Quality
13
Transformation
13
Cons
Limited Functionality
8
Complex Setup
7
Error Handling
7
Error Reporting
6
Feature Limitations
6
dbt features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.9
8.5
Multi-Source Analysis
Average: 8.5
8.5
Real-Time Analytics
Average: 8.4
9.4
Data Workflow
Average: 8.4
Seller Details
Seller
Fivetran
Company Website
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,686 Twitter followers
LinkedIn® Page
www.linkedin.com
1,682 employees on LinkedIn®
(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
    Features
    3
    Analytics
    2
    Data Analytics
    2
    Data Management
    2
    Insights
    2
    Cons
    Complexity
    3
    Complexity Issues
    3
    Complex Implementation
    2
    Complex Setup
    2
    Difficult Setup
    2
  • 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
    708,950 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
Features
3
Analytics
2
Data Analytics
2
Data Management
2
Insights
2
Cons
Complexity
3
Complexity Issues
3
Complex Implementation
2
Complex Setup
2
Difficult Setup
2
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
708,950 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(23)4.7 out of 5
9th Easiest To Use in Big Data Analytics software
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 65% Small-Business
    • 17% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Omniscope Evo Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Analytics
    3
    Analysis
    2
    Dashboard Customization
    2
    Data Analysis
    2
    Ease of Use
    2
    Cons
    Limited Customization
    2
    Missing Features
    2
    Dashboard Issues
    1
    Design Limitations
    1
    Difficult Navigation
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Omniscope Evo features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 8.9
    8.9
    Multi-Source Analysis
    Average: 8.5
    8.4
    Real-Time Analytics
    Average: 8.4
    9.8
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Visokio
    Year Founded
    2002
    HQ Location
    London, GB
    Twitter
    @Visokio
    259 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 65% Small-Business
  • 17% Enterprise
Omniscope Evo Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
3
Analysis
2
Dashboard Customization
2
Data Analysis
2
Ease of Use
2
Cons
Limited Customization
2
Missing Features
2
Dashboard Issues
1
Design Limitations
1
Difficult Navigation
1
Omniscope Evo features and usability ratings that predict user satisfaction
9.5
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
9.8
Data Workflow
Average: 8.4
Seller Details
Seller
Visokio
Year Founded
2002
HQ Location
London, GB
Twitter
@Visokio
259 Twitter followers
LinkedIn® Page
www.linkedin.com
9 employees on LinkedIn®
(760)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 programming, modeling and simulation tool developed by MathWorks.

    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
    12
    Data Visualization
    9
    Simulation
    8
    Tools Variety
    7
    Cons
    Expensive
    7
    Slow Performance
    6
    High System Requirements
    5
    Lagging Performance
    4
    Learning Curve
    4
  • 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
    100,884 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 programming, modeling and simulation tool developed by MathWorks.

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
12
Data Visualization
9
Simulation
8
Tools Variety
7
Cons
Expensive
7
Slow Performance
6
High System Requirements
5
Lagging Performance
4
Learning Curve
4
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
100,884 Twitter followers
LinkedIn® Page
www.linkedin.com
7,768 employees on LinkedIn®
(360)4.3 out of 5
11th Easiest To Use in Big Data Analytics software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 70% Enterprise
    • 21% 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.
    • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
    • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
    • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Teradata Vantage 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
    Performance
    19
    Scalability
    16
    Speed
    16
    Analytics
    15
    Large Datasets
    12
    Cons
    Learning Curve
    11
    Complexity
    5
    Integration Issues
    5
    Performance Issues
    5
    Poor UI Design
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Teradata Vantage features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.9
    7.9
    Multi-Source Analysis
    Average: 8.5
    8.2
    Real-Time Analytics
    Average: 8.4
    7.8
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    93,485 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,948 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trust

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 21% 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.
  • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
  • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
  • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
Teradata Vantage 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
Performance
19
Scalability
16
Speed
16
Analytics
15
Large Datasets
12
Cons
Learning Curve
11
Complexity
5
Integration Issues
5
Performance Issues
5
Poor UI Design
5
Teradata Vantage features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.9
7.9
Multi-Source Analysis
Average: 8.5
8.2
Real-Time Analytics
Average: 8.4
7.8
Data Workflow
Average: 8.4
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
93,485 Twitter followers
LinkedIn® Page
www.linkedin.com
9,948 employees on LinkedIn®
Entry Level Price:$666.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DIAdem is data management software for measurement data aggregation, inspection, analysis, and reporting. DIAdem is application software that helps engineers accelerate post-processing of measurement

    Users
    No information available
    Industries
    • Automotive
    • Mechanical or Industrial Engineering
    Market Segment
    • 43% Small-Business
    • 41% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DIAdem Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Automation
    1
    Features
    1
    Large Datasets
    1
    Performance
    1
    Productivity Improvement
    1
    Cons
    Unclear Pricing
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DIAdem features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.9
    8.6
    Multi-Source Analysis
    Average: 8.5
    8.5
    Real-Time Analytics
    Average: 8.4
    9.3
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NI
    Year Founded
    1976
    HQ Location
    Austin, TX
    Twitter
    @NIglobal
    26,392 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,917 employees on LinkedIn®
    Ownership
    NASDAQ: NATI
Product Description
How are these determined?Information
This description is provided by the seller.

DIAdem is data management software for measurement data aggregation, inspection, analysis, and reporting. DIAdem is application software that helps engineers accelerate post-processing of measurement

Users
No information available
Industries
  • Automotive
  • Mechanical or Industrial Engineering
Market Segment
  • 43% Small-Business
  • 41% Enterprise
DIAdem Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Automation
1
Features
1
Large Datasets
1
Performance
1
Productivity Improvement
1
Cons
Unclear Pricing
1
DIAdem features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.9
8.6
Multi-Source Analysis
Average: 8.5
8.5
Real-Time Analytics
Average: 8.4
9.3
Data Workflow
Average: 8.4
Seller Details
Seller
NI
Year Founded
1976
HQ Location
Austin, TX
Twitter
@NIglobal
26,392 Twitter followers
LinkedIn® Page
www.linkedin.com
7,917 employees on LinkedIn®
Ownership
NASDAQ: NATI
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Gigasheet is an analytics platform purpose-built for healthcare market intelligence. Gigasheet analyzes price transparency files and payer-negotiated rates at massive scale. Used by payers, consultant

    Users
    No information available
    Industries
    • Marketing and Advertising
    Market Segment
    • 65% Small-Business
    • 17% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Gigasheet 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
    Customer Support
    3
    Large Datasets
    3
    Usability
    3
    Performance
    2
    Cons
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gigasheet features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.9
    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
    Gigasheet
    Year Founded
    2020
    HQ Location
    Washington DC Area
    Twitter
    @gigasheet
    370 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    11 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Gigasheet is an analytics platform purpose-built for healthcare market intelligence. Gigasheet analyzes price transparency files and payer-negotiated rates at massive scale. Used by payers, consultant

Users
No information available
Industries
  • Marketing and Advertising
Market Segment
  • 65% Small-Business
  • 17% Mid-Market
Gigasheet 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
Customer Support
3
Large Datasets
3
Usability
3
Performance
2
Cons
Expensive
1
Gigasheet features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.9
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
Gigasheet
Year Founded
2020
HQ Location
Washington DC Area
Twitter
@gigasheet
370 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®
(112)4.4 out of 5
13th 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.

    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
  • 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
    43,608 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
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
43,608 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
(259)4.0 out of 5
14th 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
    9,526 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.

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
9,526 Twitter followers
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®