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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.
39 Big Data Analytics Products Available
View all Big Data Analytics Software
View all Big Data Analytics Software
Google Cloud BigQuery
(1,222)4.5 out of 5
5th Easiest To Use in Big Data Analytics software
View top Consulting Services for Google Cloud BigQuery
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
    • 35% 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
    • Amir A.
    AA
    I really like Google Cloud BigQuery's interface; it’s very neat and everything looks like it's in one place. I can easily switch between BigQuery,... Read review
    Verified User in Financial Services
    CF
    I like the structured and organized way Google Cloud BigQuery deals with data. The quickness with which it handles and analyzes data is another... Read review
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,755,640 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
  • 35% 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
Amir A.
AA
I really like Google Cloud BigQuery's interface; it’s very neat and everything looks like it's in one place. I can easily switch between BigQuery,... Read review
Verified User in Financial Services
CF
I like the structured and organized way Google Cloud BigQuery deals with data. The quickness with which it handles and analyzes data is another... Read review
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,755,640 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Databricks
(660)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Big Data Analytics software
View top Consulting Services for Databricks
  • 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 for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
    • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
    • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks 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
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    88,028 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 for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
  • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
  • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
Databricks 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
Seller
Databricks Inc.
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
88,028 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
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Snowflake
(685)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Big Data Analytics software
View top Consulting Services for Snowflake
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
    • Verified User in Information Technology and Services
    UI
    Snowflake's simplicity combined with powerful scalability. It separates compute and storage, making it easy to scale performance up or down on... Read review
    KR
    The most helpful thing about Snowflake is that it lets teams analyze large amounts of data quickly without worrying about infrastructure or... Read review
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Snowflake, Inc.
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    218 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
Verified User in Information Technology and Services
UI
Snowflake's simplicity combined with powerful scalability. It separates compute and storage, making it easy to scale performance up or down on... Read review
KR
The most helpful thing about Snowflake is that it lets teams analyze large amounts of data quickly without worrying about infrastructure or... Read review
Seller Details
Seller
Snowflake, Inc.
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
218 Twitter followers
LinkedIn® Page
www.linkedin.com
10,857 employees on LinkedIn®
Alteryx
(671)4.6 out of 5
Optimized for quick response
12th Easiest To Use in Big Data Analytics software
View top Consulting Services for Alteryx
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 allows users to prepare, clean, manipulate, and analyze data through a drag and drop interface.
    • Reviewers frequently mention the platform's ability to automate repetitive tasks, handle large datasets, and streamline data processes, allowing teams to focus more on insights rather than data wrangling.
    • Reviewers noted that the pricing is on the higher side, performance can slow down with very large workflows, and there are issues with data type mismatches and 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
    26,251 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 allows users to prepare, clean, manipulate, and analyze data through a drag and drop interface.
  • Reviewers frequently mention the platform's ability to automate repetitive tasks, handle large datasets, and streamline data processes, allowing teams to focus more on insights rather than data wrangling.
  • Reviewers noted that the pricing is on the higher side, performance can slow down with very large workflows, and there are issues with data type mismatches and 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
26,251 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
Qubole
(259)4.0 out of 5
15th Easiest To Use in Big Data Analytics software
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
    9,483 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
9,483 Twitter followers
LinkedIn® Page
www.linkedin.com
25 employees on LinkedIn®
Teradata Vantage
(360)4.3 out of 5
13th Easiest To Use in Big Data Analytics software
  • 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
    93,227 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,886 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
93,227 Twitter followers
LinkedIn® Page
www.linkedin.com
9,886 employees on LinkedIn®
Kyvos Semantic Layer
(265)4.8 out of 5
Entry Level Price:Pay As You Go
  • 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 organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos

    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 analytics tool that accelerates query responses, incorporates data sources, and works with dashboards to process large amounts of data.
    • Reviewers frequently mention that Kyvos consistently performs at high levels, allows for easy exploration of business metrics, and provides fast responses to ad hoc queries.
    • Reviewers noted that community support is limited and there is a slight learning curve for some of the advanced features.
  • 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
    Seller
    Kyvos Insights
    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 organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos

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 analytics tool that accelerates query responses, incorporates data sources, and works with dashboards to process large amounts of data.
  • Reviewers frequently mention that Kyvos consistently performs at high levels, allows for easy exploration of business metrics, and provides fast responses to ad hoc queries.
  • Reviewers noted that community support is limited and there is a slight learning curve for some of the advanced features.
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
Seller
Kyvos Insights
Company Website
Year Founded
2014
HQ Location
Los Gatos, CA
Twitter
@KyvosInsights
694 Twitter followers
LinkedIn® Page
www.linkedin.com
150 employees on LinkedIn®
IBM watsonx.data
(149)4.4 out of 5
Optimized for quick response
8th Easiest To Use in Big Data Analytics software
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consis

    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
    708,798 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® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consis

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
708,798 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Starburst
(92)4.4 out of 5
Optimized for quick response
6th Easiest To Use in Big Data Analytics software
View top Consulting Services for Starburst
  • 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
    • 48% Enterprise
    • 32% 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
    3,465 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
  • 48% Enterprise
  • 32% 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
3,465 Twitter followers
LinkedIn® Page
www.linkedin.com
525 employees on LinkedIn®
dbt
(197)4.7 out of 5
3rd Easiest To Use in Big Data Analytics software
View top Consulting Services for dbt
  • 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
    5,713 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
5,713 Twitter followers
LinkedIn® Page
www.linkedin.com
1,738 employees on LinkedIn®
Dataiku
(188)4.4 out of 5
7th Easiest To Use in Big Data Analytics software
View top Consulting Services for Dataiku
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 Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. It helps organizations move from fragmented experimen

    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 data science and machine learning platform that centralizes and organizes data, supports collaboration, and manages the full data lifecycle from preparation to deployment.
    • Users like Dataiku's user-friendly interface, strong collaboration features, and its ability to streamline building, training, and deploying AI models at scale, making generative AI projects faster and more reliable.
    • Reviewers noted that Dataiku can be demanding on system resources, especially when working with large datasets, and its extensive features can be overwhelming for new users, leading to a steeper learning curve.
  • 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
    22,954 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 Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. It helps organizations move from fragmented experimen

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 data science and machine learning platform that centralizes and organizes data, supports collaboration, and manages the full data lifecycle from preparation to deployment.
  • Users like Dataiku's user-friendly interface, strong collaboration features, and its ability to streamline building, training, and deploying AI models at scale, making generative AI projects faster and more reliable.
  • Reviewers noted that Dataiku can be demanding on system resources, especially when working with large datasets, and its extensive features can be overwhelming for new users, leading to a steeper learning curve.
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
22,954 Twitter followers
LinkedIn® Page
www.linkedin.com
1,609 employees on LinkedIn®
Dremio
(69)4.6 out of 5
  • 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
    5,086 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
5,086 Twitter followers
LinkedIn® Page
www.linkedin.com
362 employees on LinkedIn®
DIAdem
(44)4.4 out of 5
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
    26,288 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8,009 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
26,288 Twitter followers
LinkedIn® Page
www.linkedin.com
8,009 employees on LinkedIn®
Ownership
NASDAQ: NATI
Confluent
(114)4.4 out of 5
14th Easiest To Use in Big Data Analytics software
  • 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
    • 34% 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
    • 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
    Sushil G.
    SG
    Confluent's seamless scalability and robust integration with Apache kafka streamline real time data processing, offering an intuitive interface and... Read review
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,591 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
  • 34% 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
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
Sushil G.
SG
Confluent's seamless scalability and robust integration with Apache kafka streamline real time data processing, offering an intuitive interface and... Read review
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,591 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
Gigasheet
(23)4.9 out of 5
Entry Level Price:Starting at $95.00
  • 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®