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Best Enterprise Big Data Analytics Software

Blue Bowen
BB
Researched and written by Blue Bowen

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

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

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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19 Listings in Enterprise Big Data Analytics Software Available

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

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    169
    Speed
    139
    Fast Querying
    120
    Integrations
    119
    Query Efficiency
    116
    Cons
    Expensive
    126
    Query Issues
    77
    Cost Issues
    58
    Cost Management
    58
    Learning Curve
    54
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.9
    8.7
    Multi-Source Analysis
    Average: 8.5
    8.8
    Real-Time Analytics
    Average: 8.4
    8.7
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,057 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 36% Mid-Market
Google Cloud BigQuery Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
169
Speed
139
Fast Querying
120
Integrations
119
Query Efficiency
116
Cons
Expensive
126
Query Issues
77
Cost Issues
58
Cost Management
58
Learning Curve
54
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.9
8.7
Multi-Source Analysis
Average: 8.5
8.8
Real-Time Analytics
Average: 8.4
8.7
Data Workflow
Average: 8.4
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,057 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
(630)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Big Data Analytics software
View top Consulting Services for Databricks Data Intelligence Platform
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    266
    Ease of Use
    256
    Integrations
    178
    Collaboration
    142
    Easy Integrations
    139
    Cons
    Learning Curve
    101
    Steep Learning Curve
    88
    Expensive
    87
    Missing Features
    62
    UX Improvement
    58
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.9
    9.0
    Multi-Source Analysis
    Average: 8.5
    8.8
    Real-Time Analytics
    Average: 8.4
    8.8
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    84,124 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
266
Ease of Use
256
Integrations
178
Collaboration
142
Easy Integrations
139
Cons
Learning Curve
101
Steep Learning Curve
88
Expensive
87
Missing Features
62
UX Improvement
58
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.9
9.0
Multi-Source Analysis
Average: 8.5
8.8
Real-Time Analytics
Average: 8.4
8.8
Data Workflow
Average: 8.4
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
84,124 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®

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(665)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Big Data Analytics software
View top Consulting Services for Snowflake
Save to My Lists
Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Enterprise
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    85
    Features
    65
    Data Management
    62
    Integrations
    57
    Scalability
    54
    Cons
    Expensive
    46
    Cost
    26
    Cost Management
    23
    Learning Curve
    22
    Feature Limitations
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    9.1
    Multi-Source Analysis
    Average: 8.5
    9.2
    Real-Time Analytics
    Average: 8.4
    9.2
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    158 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 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
85
Features
65
Data Management
62
Integrations
57
Scalability
54
Cons
Expensive
46
Cost
26
Cost Management
23
Learning Curve
22
Feature Limitations
20
Snowflake features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
9.1
Multi-Source Analysis
Average: 8.5
9.2
Real-Time Analytics
Average: 8.4
9.2
Data Workflow
Average: 8.4
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
158 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®
(183)4.4 out of 5
7th Easiest To Use in Big Data Analytics software
View top Consulting Services for Dataiku
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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.

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

    Users
    • Data Scientist
    • Data Analyst
    Industries
    • Financial Services
    • Pharmaceuticals
    Market Segment
    • 61% 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.
    • Dataiku is a platform that manages the entire data pipeline from data preparation to machine learning and deployment, allowing both technical and non-technical users to collaborate.
    • Users like the platform's ease of use, its ability to manage code and datasets visually, its AI-driven operation, its strong version control, and its no-code feature that aids those uncomfortable with coding.
    • Users reported issues with the platform feeling heavy for smaller projects, a steep initial learning curve, high licensing costs for small companies, limitations in scalability and integration, performance issues, and a lack of comprehensive documentation and tutorials.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dataiku Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    82
    Features
    80
    Usability
    43
    Easy Integrations
    41
    Productivity Improvement
    41
    Cons
    Learning Curve
    42
    Steep Learning Curve
    25
    Slow Performance
    22
    Difficult Learning
    20
    Expensive
    20
  • 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
    23,026 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,411 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Scientist
  • Data Analyst
Industries
  • Financial Services
  • Pharmaceuticals
Market Segment
  • 61% 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.
  • Dataiku is a platform that manages the entire data pipeline from data preparation to machine learning and deployment, allowing both technical and non-technical users to collaborate.
  • Users like the platform's ease of use, its ability to manage code and datasets visually, its AI-driven operation, its strong version control, and its no-code feature that aids those uncomfortable with coding.
  • Users reported issues with the platform feeling heavy for smaller projects, a steep initial learning curve, high licensing costs for small companies, limitations in scalability and integration, performance issues, and a lack of comprehensive documentation and tutorials.
Dataiku Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
82
Features
80
Usability
43
Easy Integrations
41
Productivity Improvement
41
Cons
Learning Curve
42
Steep Learning Curve
25
Slow Performance
22
Difficult Learning
20
Expensive
20
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
23,026 Twitter followers
LinkedIn® Page
www.linkedin.com
1,411 employees on LinkedIn®
(227)4.5 out of 5
10th Easiest To Use in Big Data Analytics software
View top Consulting Services for Azure Databricks
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 49% Enterprise
    • 26% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Databricks Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    8
    Features
    8
    Integrations
    4
    Interface Ease-of-Use
    4
    ML Modeling
    3
    Cons
    Expensive
    3
    Slow Performance
    3
    Unclear Pricing
    3
    Complex Usability
    2
    Cost
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Databricks features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.9
    9.0
    Multi-Source Analysis
    Average: 8.5
    8.8
    Real-Time Analytics
    Average: 8.4
    8.6
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,105,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 49% Enterprise
  • 26% Small-Business
Azure Databricks Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
8
Features
8
Integrations
4
Interface Ease-of-Use
4
ML Modeling
3
Cons
Expensive
3
Slow Performance
3
Unclear Pricing
3
Complex Usability
2
Cost
2
Azure Databricks features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.9
9.0
Multi-Source Analysis
Average: 8.5
8.8
Real-Time Analytics
Average: 8.4
8.6
Data Workflow
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,105,074 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    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.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Kyvos Semantic Layer Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    112
    Speed
    85
    Performance
    48
    Performance Evaluation
    47
    Analytics
    45
    Cons
    Learning Curve
    33
    Difficult Setup
    32
    Complexity
    10
    Feature Limitations
    7
    Learning Difficulty
    7
  • 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: 8.9
    9.3
    Multi-Source Analysis
    Average: 8.5
    10.0
    Real-Time Analytics
    Average: 8.4
    9.3
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2014
    HQ Location
    Los Gatos, CA
    Twitter
    @KyvosInsights
    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. It gives enterprises a single, consistent, business-friendly view of their data for trusted AI and BI — eliminating metric drift across BI tools, and groun

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 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
112
Speed
85
Performance
48
Performance Evaluation
47
Analytics
45
Cons
Learning Curve
33
Difficult Setup
32
Complexity
10
Feature Limitations
7
Learning Difficulty
7
Kyvos Semantic Layer features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 8.9
9.3
Multi-Source Analysis
Average: 8.5
10.0
Real-Time Analytics
Average: 8.4
9.3
Data Workflow
Average: 8.4
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®
(664)4.6 out of 5
Optimized for quick response
8th Easiest To Use in Big Data Analytics software
View top Consulting Services for Alteryx
Save to My Lists
Entry Level Price:$3,000.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 63% Enterprise
    • 22% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Alteryx is a software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
    • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
    • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    324
    Automation
    140
    Intuitive
    130
    Easy Learning
    101
    Problem Solving
    101
    Cons
    Expensive
    86
    Learning Curve
    80
    Missing Features
    61
    Learning Difficulty
    54
    Slow Performance
    40
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.9
    8.9
    Multi-Source Analysis
    Average: 8.5
    8.4
    Real-Time Analytics
    Average: 8.4
    9.1
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,382 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,265 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 63% Enterprise
  • 22% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Alteryx is a software that allows users to prepare, blend, and analyze data without writing code, featuring a drag-and-drop interface and automation capabilities.
  • Reviewers like the ease of use, the ability to handle large databases, the drag-and-drop workflow builder, and the ability to connect multiple data sources and automate tasks.
  • Users mentioned high licensing costs, limited data visualization capabilities, a steep learning curve for advanced tools, and performance issues with large datasets.
Alteryx Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
324
Automation
140
Intuitive
130
Easy Learning
101
Problem Solving
101
Cons
Expensive
86
Learning Curve
80
Missing Features
61
Learning Difficulty
54
Slow Performance
40
Alteryx features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.9
8.9
Multi-Source Analysis
Average: 8.5
8.4
Real-Time Analytics
Average: 8.4
9.1
Data Workflow
Average: 8.4
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,382 Twitter followers
LinkedIn® Page
www.linkedin.com
2,265 employees on LinkedIn®
(360)4.3 out of 5
11th Easiest To Use in Big Data Analytics software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 70% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
    • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
    • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Teradata Vantage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    19
    Scalability
    16
    Speed
    16
    Analytics
    15
    Large Datasets
    12
    Cons
    Learning Curve
    11
    Complexity
    5
    Integration Issues
    5
    Performance Issues
    5
    Poor UI Design
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Teradata Vantage features and usability ratings that predict user satisfaction
    8.2
    Has the product been a good partner in doing business?
    Average: 8.9
    7.9
    Multi-Source Analysis
    Average: 8.5
    8.2
    Real-Time Analytics
    Average: 8.4
    7.8
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    93,477 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,948 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
  • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
  • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
Teradata Vantage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
19
Scalability
16
Speed
16
Analytics
15
Large Datasets
12
Cons
Learning Curve
11
Complexity
5
Integration Issues
5
Performance Issues
5
Poor UI Design
5
Teradata Vantage features and usability ratings that predict user satisfaction
8.2
Has the product been a good partner in doing business?
Average: 8.9
7.9
Multi-Source Analysis
Average: 8.5
8.2
Real-Time Analytics
Average: 8.4
7.8
Data Workflow
Average: 8.4
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
93,477 Twitter followers
LinkedIn® Page
www.linkedin.com
9,948 employees on LinkedIn®
(37)4.2 out of 5
View top Consulting Services for Azure Data Lake Analytics
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 54% Enterprise
    • 27% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Lake Analytics features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.9
    7.9
    Multi-Source Analysis
    Average: 8.5
    8.1
    Real-Time Analytics
    Average: 8.4
    8.5
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,105,074 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 54% Enterprise
  • 27% Mid-Market
Azure Data Lake Analytics features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.9
7.9
Multi-Source Analysis
Average: 8.5
8.1
Real-Time Analytics
Average: 8.4
8.5
Data Workflow
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,105,074 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(93)4.4 out of 5
Optimized for quick response
6th Easiest To Use in Big Data Analytics software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Starburst Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Fast Querying
    24
    Integrations
    22
    Ease of Use
    21
    Query Efficiency
    20
    Large Datasets
    19
    Cons
    Learning Curve
    16
    Query Issues
    14
    Slow Performance
    14
    Difficult Setup
    12
    Complexity
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Starburst features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.9
    8.8
    Multi-Source Analysis
    Average: 8.5
    7.9
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Starburst
    Company Website
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,466 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    478 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Enterprise
  • 31% Small-Business
Starburst Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Fast Querying
24
Integrations
22
Ease of Use
21
Query Efficiency
20
Large Datasets
19
Cons
Learning Curve
16
Query Issues
14
Slow Performance
14
Difficult Setup
12
Complexity
11
Starburst features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.9
8.8
Multi-Source Analysis
Average: 8.5
7.9
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.4
Seller Details
Seller
Starburst
Company Website
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,466 Twitter followers
LinkedIn® Page
www.linkedin.com
478 employees on LinkedIn®
(88)4.3 out of 5
View top Consulting Services for IBM Cloud Pak for Data
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Cloud Pak for Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    3
    Analytics
    2
    Data Analytics
    2
    Data Management
    2
    Insights
    2
    Cons
    Complexity
    3
    Complexity Issues
    3
    Complex Implementation
    2
    Complex Setup
    2
    Difficult Setup
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.9
    8.1
    Multi-Source Analysis
    Average: 8.5
    8.5
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    709,128 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 28% Small-Business
IBM Cloud Pak for Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
3
Analytics
2
Data Analytics
2
Data Management
2
Insights
2
Cons
Complexity
3
Complexity Issues
3
Complex Implementation
2
Complex Setup
2
Difficult Setup
2
IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.9
8.1
Multi-Source Analysis
Average: 8.5
8.5
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.4
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
709,128 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(24)4.9 out of 5
4th Easiest To Use in Big Data Analytics software
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Entry Level Price:Free
  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

    Users
    No information available
    Industries
    • Telecommunications
    Market Segment
    • 50% Enterprise
    • 33% 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.
    • Ilum is a data platform that can run on-premise or in the cloud, providing data warehousing, data science, and data ops capabilities.
    • Users like the flexibility of Ilum, its seamless integration with other tools, quick implementation, and the responsive customer support team.
    • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and requires some basic knowledge of K8S for initial setup.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ILUM Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Features
    17
    Integrations
    17
    Setup Ease
    16
    Easy Integrations
    15
    Cons
    Complex Setup
    9
    Difficult Setup
    9
    Learning Curve
    9
    UX Improvement
    8
    Complexity
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ILUM features and usability ratings that predict user satisfaction
    9.7
    Has the product been a good partner in doing business?
    Average: 8.9
    10.0
    Multi-Source Analysis
    Average: 8.5
    10.0
    Real-Time Analytics
    Average: 8.4
    10.0
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ilum
    Company Website
    Year Founded
    2019
    HQ Location
    Santa Fe, US
    Twitter
    @IlumCloud
    19 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineer

Users
No information available
Industries
  • Telecommunications
Market Segment
  • 50% Enterprise
  • 33% 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.
  • Ilum is a data platform that can run on-premise or in the cloud, providing data warehousing, data science, and data ops capabilities.
  • Users like the flexibility of Ilum, its seamless integration with other tools, quick implementation, and the responsive customer support team.
  • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and requires some basic knowledge of K8S for initial setup.
ILUM Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Features
17
Integrations
17
Setup Ease
16
Easy Integrations
15
Cons
Complex Setup
9
Difficult Setup
9
Learning Curve
9
UX Improvement
8
Complexity
7
ILUM features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 8.9
10.0
Multi-Source Analysis
Average: 8.5
10.0
Real-Time Analytics
Average: 8.4
10.0
Data Workflow
Average: 8.4
Seller Details
Seller
Ilum
Company Website
Year Founded
2019
HQ Location
Santa Fe, US
Twitter
@IlumCloud
19 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
(69)4.6 out of 5
12th Easiest To Use in Big Data Analytics software
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Dremio Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    13
    Integrations
    10
    Performance
    7
    SQL Support
    7
    Data Management
    6
    Cons
    Difficulty
    5
    Poor Customer Support
    5
    Learning Curve
    4
    Difficult Setup
    3
    Poor Documentation
    3
  • 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
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Dremio
    Year Founded
    2015
    HQ Location
    Santa Clara, California
    Twitter
    @dremio
    5,084 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 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
13
Integrations
10
Performance
7
SQL Support
7
Data Management
6
Cons
Difficulty
5
Poor Customer Support
5
Learning Curve
4
Difficult Setup
3
Poor Documentation
3
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
Seller Details
Seller
Dremio
Year Founded
2015
HQ Location
Santa Clara, California
Twitter
@dremio
5,084 Twitter followers
LinkedIn® Page
www.linkedin.com
354 employees on LinkedIn®
(760)4.5 out of 5
View top Consulting Services for MATLAB
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MATLAB is a programming, modeling and simulation tool developed by MathWorks.

    Users
    • Student
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Research
    Market Segment
    • 42% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MATLAB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    16
    Features
    12
    Data Visualization
    9
    Simulation
    8
    Tools Variety
    7
    Cons
    Expensive
    7
    Slow Performance
    6
    High System Requirements
    5
    Lagging Performance
    4
    Learning Curve
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MATLAB features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.9
    8.4
    Multi-Source Analysis
    Average: 8.5
    8.7
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    100,702 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,768 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MATLAB is a programming, modeling and simulation tool developed by MathWorks.

Users
  • Student
  • Graduate Research Assistant
Industries
  • Higher Education
  • Research
Market Segment
  • 42% Enterprise
  • 31% Small-Business
MATLAB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
16
Features
12
Data Visualization
9
Simulation
8
Tools Variety
7
Cons
Expensive
7
Slow Performance
6
High System Requirements
5
Lagging Performance
4
Learning Curve
4
MATLAB features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.9
8.4
Multi-Source Analysis
Average: 8.5
8.7
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.4
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
100,702 Twitter followers
LinkedIn® Page
www.linkedin.com
7,768 employees on LinkedIn®
(112)4.4 out of 5
13th Easiest To Use in Big Data Analytics software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 35% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Confluent Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Cloud Computing
    1
    Cloud Services
    1
    Connectors
    1
    Data Integration
    1
    Documentation
    1
    Cons
    Cost Estimation
    1
    Expensive
    1
    Initial Difficulties
    1
    Lack of Features
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Confluent features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.9
    8.3
    Multi-Source Analysis
    Average: 8.5
    8.9
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,616 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
  • Senior Software Engineer
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 35% Small-Business
Confluent Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cloud Computing
1
Cloud Services
1
Connectors
1
Data Integration
1
Documentation
1
Cons
Cost Estimation
1
Expensive
1
Initial Difficulties
1
Lack of Features
1
Learning Curve
1
Confluent features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.9
8.3
Multi-Source Analysis
Average: 8.5
8.9
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.4
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,616 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT