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Top Free Big Data Processing And Distribution Systems

Check out our list of free Big Data Processing And Distribution Systems. 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 Processing And Distribution Systems to ensure you get the right product.

View Free Big Data Processing And Distribution Systems

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.
40 Big Data Processing and Distribution Products Available
(1,202)4.5 out of 5
2nd Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 36% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.7
    8.8
    Real-Time Data Collection
    Average: 8.7
    8.9
    Machine Scaling
    Average: 8.6
    8.9
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Ujjwal M.
    UM
    bigquery is just amazing, it handles all the datasets and worflow so easilly, i work with millions of rows almost every day and it never makes me... Read review
    ADVAIT V.
    AV
    I really like how fast and effortless it feels to work with large datasets. BigQuery lets me run complex queries in seconds without worrying about... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,617 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 36% Mid-Market
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.7
8.8
Real-Time Data Collection
Average: 8.7
8.9
Machine Scaling
Average: 8.6
8.9
Data Preparation
Average: 8.6
Ujjwal M.
UM
bigquery is just amazing, it handles all the datasets and worflow so easilly, i work with millions of rows almost every day and it never makes me... Read review
ADVAIT V.
AV
I really like how fast and effortless it feels to work with large datasets. BigQuery lets me run complex queries in seconds without worrying about... Read review
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,617 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
(626)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Databricks Data Intelligence Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.7
    8.7
    Real-Time Data Collection
    Average: 8.7
    9.0
    Machine Scaling
    Average: 8.6
    8.8
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    83,849 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.7
8.7
Real-Time Data Collection
Average: 8.7
9.0
Machine Scaling
Average: 8.6
8.8
Data Preparation
Average: 8.6
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
83,849 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®

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(657)4.6 out of 5
Optimized for quick response
3rd Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Snowflake
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Enterprise
    • 43% 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: 8.7
    8.9
    Real-Time Data Collection
    Average: 8.7
    9.1
    Machine Scaling
    Average: 8.6
    9.0
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • MR
    I like that storing and querying large datasets feels simple here. The performance is strong even when we scale up and it removes the heavy work of... Read review
    Sumit C.
    SC
    Snowflake takes away the complexity of managing infrastructure and lets us focus purely on data. The separation of storage and compute means... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    152 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,207 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Enterprise
  • 43% Mid-Market
Snowflake features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.9
Real-Time Data Collection
Average: 8.7
9.1
Machine Scaling
Average: 8.6
9.0
Data Preparation
Average: 8.6
MR
I like that storing and querying large datasets feels simple here. The performance is strong even when we scale up and it removes the heavy work of... Read review
Sumit C.
SC
Snowflake takes away the complexity of managing infrastructure and lets us focus purely on data. The separation of storage and compute means... Read review
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
152 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®
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: 8.7
    8.0
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.6
    8.3
    Data Preparation
    Average: 8.6
  • 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
    9,534 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    26 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 44% Mid-Market
Qubole features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.7
8.0
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.6
8.3
Data Preparation
Average: 8.6
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
9,534 Twitter followers
LinkedIn® Page
www.linkedin.com
26 employees on LinkedIn®
(216)4.3 out of 5
13th Easiest To Use in Big Data Processing and Distribution software
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.

    Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-i

    Users
    • Senior Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 44% Enterprise
    • 39% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenText Vertica features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 8.7
    8.6
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.6
    8.4
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Suru S.
    SS
    Can perform any type of analytics, in our use-case we use Time Series, Pattern Matching by ingesting data gathering from different data sources... Read review
    Kuldeep S.
    KS
    OpenText Veryica excels in understanding context, generating coherent responses, and aiding various natural language processing tasks. Its... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,628 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    23,200 employees on LinkedIn®
    Ownership
    NASDAQ:OTEX
Product Description
How are these determined?Information
This description is provided by the seller.

Vertica is the unified analytics platform, based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-i

Users
  • Senior Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Enterprise
  • 39% Mid-Market
OpenText Vertica features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 8.7
8.6
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.6
8.4
Data Preparation
Average: 8.6
Suru S.
SS
Can perform any type of analytics, in our use-case we use Time Series, Pattern Matching by ingesting data gathering from different data sources... Read review
Kuldeep S.
KS
OpenText Veryica excels in understanding context, generating coherent responses, and aiding various natural language processing tasks. Its... Read review
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,628 Twitter followers
LinkedIn® Page
www.linkedin.com
23,200 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(360)4.3 out of 5
7th Easiest To Use in Big Data Processing and Distribution 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: 8.7
    7.9
    Real-Time Data Collection
    Average: 8.7
    8.7
    Machine Scaling
    Average: 8.6
    9.0
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    93,496 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,948 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
  • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
  • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
Teradata Vantage features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.7
7.9
Real-Time Data Collection
Average: 8.7
8.7
Machine Scaling
Average: 8.6
9.0
Data Preparation
Average: 8.6
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
93,496 Twitter followers
LinkedIn® Page
www.linkedin.com
9,948 employees on LinkedIn®
(93)4.4 out of 5
Optimized for quick response
5th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Starburst
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Enterprise
    • 31% Small-Business
  • 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: 8.7
    8.0
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.6
    8.2
    Data Preparation
    Average: 8.6
  • 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
    3,469 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    478 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Enterprise
  • 31% Small-Business
Starburst features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.0
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.6
8.2
Data Preparation
Average: 8.6
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
3,469 Twitter followers
LinkedIn® Page
www.linkedin.com
478 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Posit was founded with the mission to create open-source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporat

    Users
    • Research Assistant
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Information Technology and Services
    Market Segment
    • 49% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Posit features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.7
    9.0
    Real-Time Data Collection
    Average: 8.7
    7.9
    Machine Scaling
    Average: 8.6
    8.7
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Verified User in Higher Education
    UH
    Object-oriented platform. You can manipulate information like an object and put them into analysis. If you have specific "formula" in mind you can... Read review
    Maddy E.
    ME
    RStudio is extremely useful and free software for interpreting and analysing datasets of any size. It's open source, and with the variety of... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Posit
    Year Founded
    2009
    HQ Location
    Boston, MA
    Twitter
    @posit_pbc
    122,534 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    459 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Posit was founded with the mission to create open-source software for data science, scientific research, and technical communication. We don’t just say this: it’s fundamentally baked into our corporat

Users
  • Research Assistant
  • Graduate Research Assistant
Industries
  • Higher Education
  • Information Technology and Services
Market Segment
  • 49% Enterprise
  • 27% Mid-Market
Posit features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.7
9.0
Real-Time Data Collection
Average: 8.7
7.9
Machine Scaling
Average: 8.6
8.7
Data Preparation
Average: 8.6
Verified User in Higher Education
UH
Object-oriented platform. You can manipulate information like an object and put them into analysis. If you have specific "formula" in mind you can... Read review
Maddy E.
ME
RStudio is extremely useful and free software for interpreting and analysing datasets of any size. It's open source, and with the variety of... Read review
Seller Details
Seller
Posit
Year Founded
2009
HQ Location
Boston, MA
Twitter
@posit_pbc
122,534 Twitter followers
LinkedIn® Page
www.linkedin.com
459 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. Enterprises rely on Kyvos for blazing-fast analytics at massive scale, reliable AI + BI, rapid data exploration, cost efficiency and modernization of underperf

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 51% Mid-Market
    • 44% 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 analyze large datasets, standardize business metrics, and provide secure access to organizational data.
    • Reviewers appreciate Kyvos's ability to handle large volumes of data, its user-friendly interface, and its role-based access controls that ensure data security.
    • Users experienced a steep learning curve with Kyvos, and some minor tweaks were needed in dashboards during the initial rollout.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kyvos Semantic Layer features and usability ratings that predict user satisfaction
    9.7
    Has the product been a good partner in doing business?
    Average: 8.7
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2014
    HQ Location
    Los Gatos, CA
    Twitter
    @KyvosInsights
    696 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    134 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. Enterprises rely on Kyvos for blazing-fast analytics at massive scale, reliable AI + BI, rapid data exploration, cost efficiency and modernization of underperf

Users
  • Senior Software Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 51% Mid-Market
  • 44% 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 analyze large datasets, standardize business metrics, and provide secure access to organizational data.
  • Reviewers appreciate Kyvos's ability to handle large volumes of data, its user-friendly interface, and its role-based access controls that ensure data security.
  • Users experienced a steep learning curve with Kyvos, and some minor tweaks were needed in dashboards during the initial rollout.
Kyvos Semantic Layer features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 8.7
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Company Website
Year Founded
2014
HQ Location
Los Gatos, CA
Twitter
@KyvosInsights
696 Twitter followers
LinkedIn® Page
www.linkedin.com
134 employees on LinkedIn®
(69)4.6 out of 5
11th Easiest To Use in Big Data Processing and Distribution software
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  • Overview
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  • 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: 8.7
    0.0
    No information available
    9.1
    Machine Scaling
    Average: 8.6
    8.7
    Data Preparation
    Average: 8.6
  • 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
    354 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: 8.7
0.0
No information available
9.1
Machine Scaling
Average: 8.6
8.7
Data Preparation
Average: 8.6
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
354 employees on LinkedIn®
(112)4.4 out of 5
8th Easiest To Use in Big Data Processing and Distribution software
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  • Overview
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  • 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: 8.7
    9.0
    Real-Time Data Collection
    Average: 8.7
    8.2
    Machine Scaling
    Average: 8.6
    7.8
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Lina G.
    LG
    Confluent Cloud offers faster scaling as well as the ability to shrink clusters when demand reduces, lowering your overall total cost of ownership... Read review
    Uk S.
    US
    Scalability , Reliability , Community and Support , Event-Driven Architecture , easy to use , ease integration with 3rd party source , Monitoring... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,527 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: 8.7
9.0
Real-Time Data Collection
Average: 8.7
8.2
Machine Scaling
Average: 8.6
7.8
Data Preparation
Average: 8.6
Lina G.
LG
Confluent Cloud offers faster scaling as well as the ability to shrink clusters when demand reduces, lowering your overall total cost of ownership... Read review
Uk S.
US
Scalability , Reliability , Community and Support , Event-Driven Architecture , easy to use , ease integration with 3rd party source , Monitoring... Read review
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,527 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
(93)4.3 out of 5
Optimized for quick response
6th Easiest To Use in Big Data Processing and Distribution software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Manage the entire data for AI lifecycle through a single user experience to power the next generation of Gen-AI applications. IBM watsonx.data empowers organizations to simplify and scale unstructure

    Users
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 29% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.data features and usability ratings that predict user satisfaction
    8.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.6
    Real-Time Data Collection
    Average: 8.7
    8.4
    Machine Scaling
    Average: 8.6
    8.6
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Shweta B.
    SB
    I like that IBM watsonx.data is fast and easy to use. It allows me to store all my data in one place and execute quick queries, which is essential... Read review
    Verified User in Information Technology and Services
    UI
    This platform is extremely flexible and cost-effective. It combines the adaptability of a data lake with the high performance of a data warehouse.... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,117 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.

Manage the entire data for AI lifecycle through a single user experience to power the next generation of Gen-AI applications. IBM watsonx.data empowers organizations to simplify and scale unstructure

Users
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 29% Small-Business
IBM watsonx.data features and usability ratings that predict user satisfaction
8.0
Has the product been a good partner in doing business?
Average: 8.7
8.6
Real-Time Data Collection
Average: 8.7
8.4
Machine Scaling
Average: 8.6
8.6
Data Preparation
Average: 8.6
Shweta B.
SB
I like that IBM watsonx.data is fast and easy to use. It allows me to store all my data in one place and execute quick queries, which is essential... Read review
Verified User in Information Technology and Services
UI
This platform is extremely flexible and cost-effective. It combines the adaptability of a data lake with the high performance of a data warehouse.... Read review
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,117 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analyt

    Users
    No information available
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 38% Small-Business
    • 34% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TIMi features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 8.7
    9.3
    Real-Time Data Collection
    Average: 8.7
    8.8
    Machine Scaling
    Average: 8.6
    9.5
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • PB
    The graphical interface is quite intuitive. It allows you to visualize the sequence of the project's statistical process and make branches to see... Read review
    AG
    In my 22 years in the profession and ten working with TIMi, I could write a book about all the true value TIMi has brought to me & Volvo Cars... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TIMi SPRL
    Company Website
    Year Founded
    2007
    HQ Location
    Brussels
    Twitter
    @TIMiSuite
    3,567 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    78 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analyt

Users
No information available
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 38% Small-Business
  • 34% Enterprise
TIMi features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 8.7
9.3
Real-Time Data Collection
Average: 8.7
8.8
Machine Scaling
Average: 8.6
9.5
Data Preparation
Average: 8.6
PB
The graphical interface is quite intuitive. It allows you to visualize the sequence of the project's statistical process and make branches to see... Read review
AG
In my 22 years in the profession and ten working with TIMi, I could write a book about all the true value TIMi has brought to me & Volvo Cars... Read review
Seller Details
Seller
TIMi SPRL
Company Website
Year Founded
2007
HQ Location
Brussels
Twitter
@TIMiSuite
3,567 Twitter followers
LinkedIn® Page
www.linkedin.com
78 employees on LinkedIn®
(31)4.6 out of 5
15th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Snowplow
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Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Snowplow is the leader in next-generation customer data infrastructure (CDI), enabling every data-driven organization to own and unlock the true value of its customer behavioral data to fuel AI, advan

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 52% Mid-Market
    • 35% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowplow features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    9.0
    Real-Time Data Collection
    Average: 8.7
    9.0
    Machine Scaling
    Average: 8.6
    8.9
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • PG
    I've found snowplow analytics after one year trying to work on third part solutions for my in-house analytics application, and I am finally owner... Read review
    Verified User in Broadcast Media
    CB
    having clickstream data without paying for GA360 Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Snowplow
    Year Founded
    2012
    HQ Location
    London, United Kingdom
    LinkedIn® Page
    www.linkedin.com
    161 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Snowplow is the leader in next-generation customer data infrastructure (CDI), enabling every data-driven organization to own and unlock the true value of its customer behavioral data to fuel AI, advan

Users
No information available
Industries
  • Computer Software
Market Segment
  • 52% Mid-Market
  • 35% Small-Business
Snowplow features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
9.0
Real-Time Data Collection
Average: 8.7
9.0
Machine Scaling
Average: 8.6
8.9
Data Preparation
Average: 8.6
PG
I've found snowplow analytics after one year trying to work on third part solutions for my in-house analytics application, and I am finally owner... Read review
Verified User in Broadcast Media
CB
having clickstream data without paying for GA360 Read review
Seller Details
Seller
Snowplow
Year Founded
2012
HQ Location
London, United Kingdom
LinkedIn® Page
www.linkedin.com
161 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organizatio

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 33% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AWS Lake Formation features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.0
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.6
    7.6
    Data Preparation
    Average: 8.6
  • What G2 Users Think
    Expand/Collapse What G2 Users Think
  • Yuvraj S.
    YS
    First it's a secure which complete the main requirements in today's time, also it has addition functionality which ease the effort of developers to... Read review
    Vijay K.
    VK
    it is one of the comprehensive data lake and data catalogue and ingesting platform, it does not only consolidate and provide a unique view across... Read review
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,364 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

AWS Lake Formation is a fully managed service to build, manage, secure, and share data in data lakes in days. You can centralize security and governance, and enable data sharing across the organizatio

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 50% Small-Business
  • 33% Enterprise
AWS Lake Formation features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.0
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.6
7.6
Data Preparation
Average: 8.6
Yuvraj S.
YS
First it's a secure which complete the main requirements in today's time, also it has addition functionality which ease the effort of developers to... Read review
Vijay K.
VK
it is one of the comprehensive data lake and data catalogue and ingesting platform, it does not only consolidate and provide a unique view across... Read review
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN