2026 Best Software Awards are here!See the list

Top Free Big Data Analytics Software

Check out our list of free Big Data Analytics Software. Products featured on this list are the ones that offer a free trial version. As with most free versions, there are limitations, typically time or features.

If you'd like to see more products and to evaluate additional feature options, compare all Big Data Analytics Software to ensure you get the right product.

View Free Big Data Analytics Software

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.
38 Big Data Analytics Products Available
(1,211)4.5 out of 5
5th Easiest To Use in Big Data Analytics software
View top Consulting Services for Google Cloud BigQuery
Save to My Lists
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
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.6
    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
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Rohan S.
    RS
    What I like best about Google Cloud BigQuery is its fully serverless architecture, which removes the need for infrastructure management and... Read review
    MOHD AHKAM I.
    MI
    I like best about Google Cloud BigQuery is how it lets you analyze massive datasets extremely fast with almost zero infrastructure management. Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,726,776 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 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 features and usability ratings that predict user satisfaction
8.6
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
Rohan S.
RS
What I like best about Google Cloud BigQuery is its fully serverless architecture, which removes the need for infrastructure management and... Read review
MOHD AHKAM I.
MI
I like best about Google Cloud BigQuery is how it lets you analyze massive datasets extremely fast with almost zero infrastructure management. Read review
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,726,776 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
(657)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
Save to My Lists
  • 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 adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

    Users
    • Data Engineer
    • Data Analyst
    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 data engineering platform that integrates AI and machine learning applications for data analysis and management.
    • Users frequently mention the platform's ability to handle large datasets, its seamless integration with cloud services, and its collaborative notebooks that enhance team cooperation.
    • Users experienced challenges with the platform's steep learning curve, particularly for new users without a strong technical background, and the high costs associated with continuous workloads.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.9
    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
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    87,182 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 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 adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

Users
  • Data Engineer
  • Data Analyst
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 data engineering platform that integrates AI and machine learning applications for data analysis and management.
  • Users frequently mention the platform's ability to handle large datasets, its seamless integration with cloud services, and its collaborative notebooks that enhance team cooperation.
  • Users experienced challenges with the platform's steep learning curve, particularly for new users without a strong technical background, and the high costs associated with continuous workloads.
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.9
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
2013
HQ Location
San Francisco, CA
Twitter
@databricks
87,182 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
G2 Advertising
Sponsored
G2 Advertising
Get 2x conversion than Google Ads with G2 Advertising!
G2 Advertising places your product in premium positions on high-traffic pages and on targeted competitor pages to reach buyers at key comparison moments.
(679)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Big Data Analytics software
View top Consulting Services for Snowflake
Save to My Lists
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
    • 44% Enterprise
    • 42% Mid-Market
  • 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
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • SK
    I really enjoy Snowflake's scalability and performance, which have streamlined our data analytics process. The way it handles large volumes of data... Read review
    SA
    I like the separation of compute and storage in Snowflake, which allows for independent scaling and helps to avoid query conflicts while improving... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    206 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,857 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
  • 44% Enterprise
  • 42% Mid-Market
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
SK
I really enjoy Snowflake's scalability and performance, which have streamlined our data analytics process. The way it handles large volumes of data... Read review
SA
I like the separation of compute and storage in Snowflake, which allows for independent scaling and helps to avoid query conflicts while improving... Read review
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
206 Twitter followers
LinkedIn® Page
www.linkedin.com
10,857 employees on LinkedIn®
(671)4.6 out of 5
Optimized for quick response
10th Easiest To Use in Big Data Analytics software
View top Consulting Services for Alteryx
Save to My Lists
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.
  • 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
    26,276 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 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
26,276 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
(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
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Verified User in Leisure, Travel & Tourism
    AL
    1. Customer service and representatives. They are very patient, friendly and knowledgeable. They always show up on time for the office hours. The... Read review
    Verified User in Marketing and Advertising
    AM
    Self-serve nature that allows engineers to take over control of their workload. Reduces administrative bottleneck. Flexibility of changing cluster... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qubole
    Year Founded
    2011
    HQ Location
    Santa Clara, CA
    Twitter
    @qubole
    9,492 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
Verified User in Leisure, Travel & Tourism
AL
1. Customer service and representatives. They are very patient, friendly and knowledgeable. They always show up on time for the office hours. The... Read review
Verified User in Marketing and Advertising
AM
Self-serve nature that allows engineers to take over control of their workload. Reduces administrative bottleneck. Flexibility of changing cluster... Read review
Seller Details
Seller
Qubole
Year Founded
2011
HQ Location
Santa Clara, CA
Twitter
@qubole
9,492 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
(360)4.3 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.

    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.
  • 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
    93,297 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,901 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 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
93,297 Twitter followers
LinkedIn® Page
www.linkedin.com
9,901 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kyvos is a semantic layer for AI and BI. It gives enterprises a single, consistent, business-friendly view of their data for trusted AI and BI — eliminating metric drift across BI tools, and g

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Mid-Market
    • 41% Enterprise
    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.
    • Kyvos is a data analysis tool that enables users to explore and analyze large-scale data, standardize business metrics, and provide secure, governed access to organizational data.
    • Reviewers frequently mention the instant responses to queries, the ability to analyze millions of data points, and the consistent business definitions across all BI tools as key benefits of Kyvos.
    • Users experienced challenges in keeping up with the latest updates due to monthly releases, and some advanced features take time to understand.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kyvos Semantic Layer features and usability ratings that predict user satisfaction
    9.6
    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
    9.6
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2014
    HQ Location
    Los Gatos, CA
    Twitter
    @KyvosInsights
    694 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    150 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kyvos is a semantic layer for AI and BI. It gives enterprises a single, consistent, business-friendly view of their data for trusted AI and BI — eliminating metric drift across BI tools, and g

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Mid-Market
  • 41% Enterprise
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.
  • Kyvos is a data analysis tool that enables users to explore and analyze large-scale data, standardize business metrics, and provide secure, governed access to organizational data.
  • Reviewers frequently mention the instant responses to queries, the ability to analyze millions of data points, and the consistent business definitions across all BI tools as key benefits of Kyvos.
  • Users experienced challenges in keeping up with the latest updates due to monthly releases, and some advanced features take time to understand.
Kyvos Semantic Layer features and usability ratings that predict user satisfaction
9.6
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
9.6
Data Workflow
Average: 8.4
Seller Details
Company Website
Year Founded
2014
HQ Location
Los Gatos, CA
Twitter
@KyvosInsights
694 Twitter followers
LinkedIn® Page
www.linkedin.com
150 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
Save to My Lists
  • 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
  • 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
    8.9
    Multi-Source Analysis
    Average: 8.5
    7.9
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.4
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Verified User in Banking
    AB
    I use Starburst primarily for querying data from Hive, and I really appreciate its ability to speed up queries significantly. This acceleration... Read review
    PP
    Starburst’s query engine is very powerful. This allows me to do such complex queries on mutiply data sources without lifting a finger. This is a... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Starburst
    Company Website
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,466 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    525 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 features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.9
Multi-Source Analysis
Average: 8.5
7.9
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.4
Verified User in Banking
AB
I use Starburst primarily for querying data from Hive, and I really appreciate its ability to speed up queries significantly. This acceleration... Read review
PP
Starburst’s query engine is very powerful. This allows me to do such complex queries on mutiply data sources without lifting a finger. This is a... Read review
Seller Details
Seller
Starburst
Company Website
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,466 Twitter followers
LinkedIn® Page
www.linkedin.com
525 employees on LinkedIn®
(149)4.4 out of 5
Optimized for quick response
8th 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.

    IBM watsonx.data is a hybrid, open data lakehouse that helps organizations easily access, integrate, and analyze structured and unstructured data across hybrid cloud and on-premises environments. It c

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 34% Small-Business
    • 34% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.data features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.9
    8.0
    Multi-Source Analysis
    Average: 8.5
    7.2
    Real-Time Analytics
    Average: 8.4
    8.0
    Data Workflow
    Average: 8.4
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Siddhant  K.
    SK
    I enjoy how IBM watsonx.data lets me access all my information from a single spot, regardless of where it's saved across various setups. It handles... Read review
    SWAPNIL S.
    SS
    IBM Watsonx.data makes it easy to manage structured and unstructured data in one place. I really like the open lakehouse architecture - it gives us... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,967 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

IBM watsonx.data is a hybrid, open data lakehouse that helps organizations easily access, integrate, and analyze structured and unstructured data across hybrid cloud and on-premises environments. It c

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 34% Small-Business
  • 34% Enterprise
IBM watsonx.data features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.9
8.0
Multi-Source Analysis
Average: 8.5
7.2
Real-Time Analytics
Average: 8.4
8.0
Data Workflow
Average: 8.4
Siddhant  K.
SK
I enjoy how IBM watsonx.data lets me access all my information from a single spot, regardless of where it's saved across various setups. It handles... Read review
SWAPNIL S.
SS
IBM Watsonx.data makes it easy to manage structured and unstructured data in one place. I really like the open lakehouse architecture - it gives us... Read review
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,967 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
(197)4.7 out of 5
3rd Easiest To Use in Big Data Analytics software
View top Consulting Services for dbt
Save to My Lists
  • 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
    • Data Engineer
    • Analytics Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 57% Mid-Market
    • 27% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.6
    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
    9.3
    Data Workflow
    Average: 8.4
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Verified User in Media Production
    UM
    Useage of sql. Incremental strategies - which makes append , merge and full refresh easy. Snapshots - which makes building scd type 2 model... Read review
    Andy M.
    AM
    It is inexpensive to use the DBT cloud service. DBT itself is free for a self-hosted environment. Very easy to set up local dev/test. Quite... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Fivetran
    Year Founded
    2012
    HQ Location
    Oakland, CA
    Twitter
    @fivetran
    5,706 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,738 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
  • Data Engineer
  • Analytics Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 57% Mid-Market
  • 27% Small-Business
dbt features and usability ratings that predict user satisfaction
8.6
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
9.3
Data Workflow
Average: 8.4
Verified User in Media Production
UM
Useage of sql. Incremental strategies - which makes append , merge and full refresh easy. Snapshots - which makes building scd type 2 model... Read review
Andy M.
AM
It is inexpensive to use the DBT cloud service. DBT itself is free for a self-hosted environment. Very easy to set up local dev/test. Quite... Read review
Seller Details
Seller
Fivetran
Year Founded
2012
HQ Location
Oakland, CA
Twitter
@fivetran
5,706 Twitter followers
LinkedIn® Page
www.linkedin.com
1,738 employees on LinkedIn®
(189)4.4 out of 5
7th Easiest To Use in Big Data Analytics software
View top Consulting Services for Dataiku
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

    Users
    • Data Scientist
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 59% Enterprise
    • 23% 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.
    • Dataiku is a platform for building, training, and deploying AI models at scale, offering end-to-end automation, orchestration of compute resources, and collaborative pipelines for generative AI projects.
    • Reviewers frequently mention the platform's ability to centralize and organize data, support both coders and non-coders, speed up operations with inbuilt Auto ML tools, and foster collaboration between data experts and business teams.
    • Users reported challenges in cost management and estimating, a steep learning curve for new users, performance issues with large datasets, and a pricing model that may not be accessible for startups or individual users.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dataiku features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.9
    8.7
    Multi-Source Analysis
    Average: 8.5
    8.5
    Real-Time Analytics
    Average: 8.4
    9.1
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dataiku
    Company Website
    Year Founded
    2013
    HQ Location
    New York, NY
    Twitter
    @dataiku
    22,952 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,609 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dataiku is the Universal AI Platform, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Aggressively agnostic, it

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 59% Enterprise
  • 23% 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.
  • Dataiku is a platform for building, training, and deploying AI models at scale, offering end-to-end automation, orchestration of compute resources, and collaborative pipelines for generative AI projects.
  • Reviewers frequently mention the platform's ability to centralize and organize data, support both coders and non-coders, speed up operations with inbuilt Auto ML tools, and foster collaboration between data experts and business teams.
  • Users reported challenges in cost management and estimating, a steep learning curve for new users, performance issues with large datasets, and a pricing model that may not be accessible for startups or individual users.
Dataiku features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.9
8.7
Multi-Source Analysis
Average: 8.5
8.5
Real-Time Analytics
Average: 8.4
9.1
Data Workflow
Average: 8.4
Seller Details
Seller
Dataiku
Company Website
Year Founded
2013
HQ Location
New York, NY
Twitter
@dataiku
22,952 Twitter followers
LinkedIn® Page
www.linkedin.com
1,609 employees on LinkedIn®
(69)4.6 out of 5
15th 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.

    Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises like Amazon, Unilever, Shell, and S&P Global. Dremio amplifies AI and analytics initiatives by eliminating t

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 49% Enterprise
    • 41% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Dremio features and usability ratings that predict user satisfaction
    9.1
    Has the product been a good partner in doing business?
    Average: 8.9
    8.9
    Multi-Source Analysis
    Average: 8.5
    8.3
    Real-Time Analytics
    Average: 8.4
    7.1
    Data Workflow
    Average: 8.4
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Verified User in Financial Services
    EF
    Fast and user-friendly query engine on top of open standard parquet files without the hassle of data loading process to a proprietary vendor... Read review
    Luca P.
    LP
    I love the platform’s ability to connect to a wide array of data sources, including relational databases (PostgreSQL, MySQL, Oracle, MS SQL), NoSQL... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dremio
    Year Founded
    2015
    HQ Location
    Santa Clara, California
    Twitter
    @dremio
    5,091 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    362 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dremio is the intelligent lakehouse platform trusted by thousands of global enterprises like Amazon, Unilever, Shell, and S&P Global. Dremio amplifies AI and analytics initiatives by eliminating t

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 49% Enterprise
  • 41% Mid-Market
Dremio features and usability ratings that predict user satisfaction
9.1
Has the product been a good partner in doing business?
Average: 8.9
8.9
Multi-Source Analysis
Average: 8.5
8.3
Real-Time Analytics
Average: 8.4
7.1
Data Workflow
Average: 8.4
Verified User in Financial Services
EF
Fast and user-friendly query engine on top of open standard parquet files without the hassle of data loading process to a proprietary vendor... Read review
Luca P.
LP
I love the platform’s ability to connect to a wide array of data sources, including relational databases (PostgreSQL, MySQL, Oracle, MS SQL), NoSQL... Read review
Seller Details
Seller
Dremio
Year Founded
2015
HQ Location
Santa Clara, California
Twitter
@dremio
5,091 Twitter followers
LinkedIn® Page
www.linkedin.com
362 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
  • 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
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Tarit D.
    TD
    After-sales technical support, prompt support over phone and Email, the low cost of domain Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NI
    Year Founded
    1976
    HQ Location
    Austin, TX
    Twitter
    @NIglobal
    26,313 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8,004 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 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
Tarit D.
TD
After-sales technical support, prompt support over phone and Email, the low cost of domain Read review
Seller Details
Seller
NI
Year Founded
1976
HQ Location
Austin, TX
Twitter
@NIglobal
26,313 Twitter followers
LinkedIn® Page
www.linkedin.com
8,004 employees on LinkedIn®
Ownership
NASDAQ: NATI
(113)4.4 out of 5
13th 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
  • 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
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Uk S.
    US
    Scalability , Reliability , Community and Support , Event-Driven Architecture , easy to use , ease integration with 3rd party source , Monitoring... Read review
    Daan C.
    DC
    Confluent provides a fully managed Kafka Service, allowing us as developers to focus on building applications rather than managing the underlying... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,588 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 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
Uk S.
US
Scalability , Reliability , Community and Support , Event-Driven Architecture , easy to use , ease integration with 3rd party source , Monitoring... Read review
Daan C.
DC
Confluent provides a fully managed Kafka Service, allowing us as developers to focus on building applications rather than managing the underlying... Read review
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,588 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
  • 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
  • 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
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Matthew B.
    MB
    Shoot, just about everything. The ability to merge and tame 5M+ row csv files with ease is worth the price of admission alone, but wait, there's... Read review
    Yaroslav K.
    YK
    Parsing, filtering, grouping, interaction with columns it's only small part of huge functionality, thank you! It realy helps me to create a... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Gigasheet
    Year Founded
    2020
    HQ Location
    Washington DC Area
    Twitter
    @gigasheet
    371 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 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
Matthew B.
MB
Shoot, just about everything. The ability to merge and tame 5M+ row csv files with ease is worth the price of admission alone, but wait, there's... Read review
Yaroslav K.
YK
Parsing, filtering, grouping, interaction with columns it's only small part of huge functionality, thank you! It realy helps me to create a... Read review
Seller Details
Seller
Gigasheet
Year Founded
2020
HQ Location
Washington DC Area
Twitter
@gigasheet
371 Twitter followers
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®