Best Enterprise Big Data Processing And Distribution Systems

Bijou Barry
BB
Researched and written by Bijou Barry

Products classified in the overall Big Data Processing and Distribution 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 Processing and Distribution 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 Processing and Distribution category.

In addition to qualifying for inclusion in the Big Data Processing And Distribution Systems category, to qualify for inclusion in the Enterprise Business Big Data Processing And Distribution Systems 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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24 Listings in Enterprise Big Data Processing And Distribution Systems Available

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    G2 Score
Databricks
(661)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
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
    • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
    • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • 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
    Features
    288
    Ease of Use
    278
    Integrations
    189
    Collaboration
    150
    Data Management
    150
    Cons
    Learning Curve
    112
    Expensive
    97
    Steep Learning Curve
    96
    Missing Features
    69
    Complexity
    64
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Databricks features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    8.7
    Real-Time Data Collection
    Average: 8.7
    9.0
    Machine Scaling
    Average: 8.6
    8.8
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Databricks Inc.
    Company Website
    Year Founded
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    88,223 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
  • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
  • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
Databricks 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
288
Ease of Use
278
Integrations
189
Collaboration
150
Data Management
150
Cons
Learning Curve
112
Expensive
97
Steep Learning Curve
96
Missing Features
69
Complexity
64
View All Pros and Cons
Databricks features and usability ratings that predict user satisfaction
8.9
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: 8.5
Seller Details
Seller
Databricks Inc.
Company Website
Year Founded
2013
HQ Location
San Francisco, CA
Twitter
@databricks
88,223 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
Google Cloud BigQuery
(1,223)4.5 out of 5
2nd Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Google Cloud BigQuery
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 35% Mid-Market
  • 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
    156
    Speed
    143
    Fast Querying
    120
    Integrations
    118
    Query Efficiency
    114
    Cons
    Expensive
    127
    Query Issues
    78
    Cost Issues
    63
    Cost Management
    60
    Learning Curve
    54
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.6
    Has the product been a good partner in doing business?
    Average: 8.7
    8.8
    Real-Time Data Collection
    Average: 8.7
    8.9
    Machine Scaling
    Average: 8.6
    8.9
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,775,247 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 35% Mid-Market
Google Cloud BigQuery 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
156
Speed
143
Fast Querying
120
Integrations
118
Query Efficiency
114
Cons
Expensive
127
Query Issues
78
Cost Issues
63
Cost Management
60
Learning Curve
54
View All Pros and Cons
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.6
Has the product been a good partner in doing business?
Average: 8.7
8.8
Real-Time Data Collection
Average: 8.7
8.9
Machine Scaling
Average: 8.6
8.9
Data Preparation
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,775,247 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
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IBM watsonx.data
(149)4.4 out of 5
Optimized for quick response
5th Easiest To Use in Big Data Processing and Distribution software
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 34% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • IBM watsonx.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
    Ease of Use
    67
    Features
    47
    Data Management
    41
    Integrations
    33
    Analytics
    31
    Cons
    Learning Curve
    38
    Complexity
    25
    Expensive
    20
    Difficult Setup
    17
    Difficulty
    17
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • IBM watsonx.data features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.7
    8.6
    Real-Time Data Collection
    Average: 8.7
    8.4
    Machine Scaling
    Average: 8.6
    8.6
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,744 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 34% Small-Business
  • 34% Enterprise
IBM watsonx.data 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
67
Features
47
Data Management
41
Integrations
33
Analytics
31
Cons
Learning Curve
38
Complexity
25
Expensive
20
Difficult Setup
17
Difficulty
17
View All Pros and Cons
IBM watsonx.data features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.7
8.6
Real-Time Data Collection
Average: 8.7
8.4
Machine Scaling
Average: 8.6
8.6
Data Preparation
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,744 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Snowflake
(685)4.6 out of 5
Optimized for quick response
4th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Snowflake
Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Enterprise
    • 42% Mid-Market
  • 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
    89
    Scalability
    68
    Data Management
    67
    Features
    66
    Integrations
    61
    Cons
    Expensive
    53
    Cost
    36
    Cost Management
    32
    Learning Curve
    25
    Feature Limitations
    21
    View All Pros and Cons
  • 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: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Snowflake, Inc.
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    223 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,857 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Enterprise
  • 42% Mid-Market
Snowflake 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
89
Scalability
68
Data Management
67
Features
66
Integrations
61
Cons
Expensive
53
Cost
36
Cost Management
32
Learning Curve
25
Feature Limitations
21
View All Pros and Cons
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: 8.5
Seller Details
Seller
Snowflake, Inc.
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
223 Twitter followers
LinkedIn® Page
www.linkedin.com
10,857 employees on LinkedIn®
Kyvos Semantic Layer
(266)4.8 out of 5
Entry Level Price:Pay As You Go
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kyvos is a semantic layer for AI and BI. It gives organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 55% Mid-Market
    • 41% Enterprise
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Kyvos is a data analytics tool that accelerates query responses, incorporates data sources, and works with dashboards to process large amounts of data.
    • Reviewers frequently mention that Kyvos consistently performs at high levels, allows for easy exploration of business metrics, and provides fast responses to ad hoc queries.
    • Reviewers noted that community support is limited and there is a slight learning curve for some of the advanced features.
  • 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
    125
    Speed
    92
    Performance
    56
    Analytics
    54
    Fast Querying
    50
    Cons
    Learning Curve
    35
    Difficult Setup
    34
    Complexity
    10
    Feature Limitations
    7
    Learning Difficulty
    7
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Kyvos Semantic Layer features and usability ratings that predict user satisfaction
    9.6
    Has the product been a good partner in doing business?
    Average: 8.7
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Kyvos Insights
    Company Website
    Year Founded
    2014
    HQ Location
    Los Gatos, CA
    Twitter
    @KyvosInsights
    693 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    150 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kyvos is a semantic layer for AI and BI. It gives organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 55% Mid-Market
  • 41% Enterprise
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Kyvos is a data analytics tool that accelerates query responses, incorporates data sources, and works with dashboards to process large amounts of data.
  • Reviewers frequently mention that Kyvos consistently performs at high levels, allows for easy exploration of business metrics, and provides fast responses to ad hoc queries.
  • Reviewers noted that community support is limited and there is a slight learning curve for some of the advanced features.
Kyvos Semantic Layer 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
125
Speed
92
Performance
56
Analytics
54
Fast Querying
50
Cons
Learning Curve
35
Difficult Setup
34
Complexity
10
Feature Limitations
7
Learning Difficulty
7
View All Pros and Cons
Kyvos Semantic Layer features and usability ratings that predict user satisfaction
9.6
Has the product been a good partner in doing business?
Average: 8.7
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Kyvos Insights
Company Website
Year Founded
2014
HQ Location
Los Gatos, CA
Twitter
@KyvosInsights
693 Twitter followers
LinkedIn® Page
www.linkedin.com
150 employees on LinkedIn®
Microsoft SQL Server
(2,261)4.4 out of 5
10th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Microsoft SQL Server
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and

    Users
    • Software Engineer
    • Software Developer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Microsoft SQL Server 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
    32
    Database Management
    29
    Performance
    25
    Features
    23
    Easy Integrations
    22
    Cons
    Expensive
    21
    High Licensing Cost
    12
    High Licensing Costs
    12
    Expensive Licensing
    11
    Performance Issues
    11
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Microsoft SQL Server features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.7
    8.5
    Real-Time Data Collection
    Average: 8.7
    8.2
    Machine Scaling
    Average: 8.6
    8.5
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,088,482 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and

Users
  • Software Engineer
  • Software Developer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
Microsoft SQL Server 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
32
Database Management
29
Performance
25
Features
23
Easy Integrations
22
Cons
Expensive
21
High Licensing Cost
12
High Licensing Costs
12
Expensive Licensing
11
Performance Issues
11
View All Pros and Cons
Microsoft SQL Server features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.7
8.5
Real-Time Data Collection
Average: 8.7
8.2
Machine Scaling
Average: 8.6
8.5
Data Preparation
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,088,482 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
Teradata Vantage
(360)4.3 out of 5
7th Easiest To Use in Big Data Processing and Distribution software
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 70% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
    • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
    • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
  • 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
    16
    Speed
    13
    Analytics
    11
    Scalability
    11
    Large Datasets
    9
    Cons
    Learning Curve
    10
    Steep Learning Curve
    5
    Complexity
    4
    Not User-Friendly
    4
    Poor UI Design
    4
    View All Pros and Cons
  • 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: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    93,227 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,886 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
  • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
  • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
Teradata Vantage 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
16
Speed
13
Analytics
11
Scalability
11
Large Datasets
9
Cons
Learning Curve
10
Steep Learning Curve
5
Complexity
4
Not User-Friendly
4
Poor UI Design
4
View All Pros and Cons
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: 8.5
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
93,227 Twitter followers
LinkedIn® Page
www.linkedin.com
9,886 employees on LinkedIn®
Amazon EMR
(65)4.1 out of 5
9th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Amazon EMR
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data

    Users
    No information available
    Industries
    • Financial Services
    • Computer Software
    Market Segment
    • 58% Enterprise
    • 22% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Amazon EMR 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
    Data Integration
    1
    Ease of Use
    1
    Large Datasets
    1
    Cons
    Performance Issues
    1
    Poor Performance
    1
    Slow Performance
    1
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Amazon EMR features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    8.1
    Real-Time Data Collection
    Average: 8.7
    8.6
    Machine Scaling
    Average: 8.6
    8.7
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Amazon Web Services (AWS)
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,220,162 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon EMR is a web-based service that simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective to distribute and process vast amounts of data

Users
No information available
Industries
  • Financial Services
  • Computer Software
Market Segment
  • 58% Enterprise
  • 22% Small-Business
Amazon EMR 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
Data Integration
1
Ease of Use
1
Large Datasets
1
Cons
Performance Issues
1
Poor Performance
1
Slow Performance
1
View All Pros and Cons
Amazon EMR features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.7
8.1
Real-Time Data Collection
Average: 8.7
8.6
Machine Scaling
Average: 8.6
8.7
Data Preparation
Average: 8.5
Seller Details
Seller
Amazon Web Services (AWS)
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,220,162 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
Azure Data Lake Store
(39)4.5 out of 5
8th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Azure Data Lake Store
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Lake Storage is a cloud-based, enterprise-grade data lake solution designed to store and analyze massive amounts of data in its native format. It enables organizations to eliminate data sil

    Users
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    Market Segment
    • 46% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Azure Data Lake Store 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
    Easy Integrations
    1
    Fast Processing
    1
    Cons
    Difficulty
    1
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Azure Data Lake Store features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.7
    9.1
    Real-Time Data Collection
    Average: 8.7
    8.9
    Machine Scaling
    Average: 8.6
    9.1
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,088,482 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Lake Storage is a cloud-based, enterprise-grade data lake solution designed to store and analyze massive amounts of data in its native format. It enables organizations to eliminate data sil

Users
  • Senior Data Engineer
Industries
  • Information Technology and Services
Market Segment
  • 46% Enterprise
  • 33% Mid-Market
Azure Data Lake Store 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
Easy Integrations
1
Fast Processing
1
Cons
Difficulty
1
View All Pros and Cons
Azure Data Lake Store features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.7
9.1
Real-Time Data Collection
Average: 8.7
8.9
Machine Scaling
Average: 8.6
9.1
Data Preparation
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,088,482 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
Starburst
(92)4.4 out of 5
Optimized for quick response
6th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Starburst
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 48% Enterprise
    • 32% Small-Business
  • 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
    20
    Query Efficiency
    18
    Integrations
    17
    Ease of Use
    15
    Large Datasets
    14
    Cons
    Query Issues
    14
    Slow Performance
    13
    Complexity
    11
    Learning Curve
    10
    Performance Issues
    9
    View All Pros and Cons
  • 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: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Starburst
    Company Website
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,461 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    525 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 48% Enterprise
  • 32% Small-Business
Starburst 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
20
Query Efficiency
18
Integrations
17
Ease of Use
15
Large Datasets
14
Cons
Query Issues
14
Slow Performance
13
Complexity
11
Learning Curve
10
Performance Issues
9
View All Pros and Cons
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: 8.5
Seller Details
Seller
Starburst
Company Website
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,461 Twitter followers
LinkedIn® Page
www.linkedin.com
525 employees on LinkedIn®
ILUM
(24)4.9 out of 5
3rd Easiest To Use in Big Data Processing and Distribution software
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
    • 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 functions as a data warehouse and a data science platform with data ops capabilities, operating seamlessly both on-premise and in the cloud.
    • Users like the flexibility of Ilum, its user-friendly interface, quick setup process, excellent customer support, and its ability to integrate well with other tools, making daily operations easier and more organized.
    • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and that it requires some basic knowledge of K8S to start with, which can be challenging for some users.
  • 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
    View All Pros and Cons
  • 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: 8.7
    10.0
    Real-Time Data Collection
    Average: 8.7
    10.0
    Machine Scaling
    Average: 8.6
    9.8
    Data Preparation
    Average: 8.5
  • 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
    4 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 functions as a data warehouse and a data science platform with data ops capabilities, operating seamlessly both on-premise and in the cloud.
  • Users like the flexibility of Ilum, its user-friendly interface, quick setup process, excellent customer support, and its ability to integrate well with other tools, making daily operations easier and more organized.
  • Reviewers mentioned that Ilum could benefit from additional modules focused on ETL, more visual options for customizing dashboards, and that it requires some basic knowledge of K8S to start with, which can be challenging for some users.
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
View All Pros and Cons
ILUM features and usability ratings that predict user satisfaction
9.7
Has the product been a good partner in doing business?
Average: 8.7
10.0
Real-Time Data Collection
Average: 8.7
10.0
Machine Scaling
Average: 8.6
9.8
Data Preparation
Average: 8.5
Seller Details
Seller
Ilum
Company Website
Year Founded
2019
HQ Location
Santa Fe, US
Twitter
@IlumCloud
19 Twitter followers
LinkedIn® Page
www.linkedin.com
4 employees on LinkedIn®
Confluent
(114)4.4 out of 5
15th Easiest To Use in Big Data Processing and Distribution software
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Senior Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 34% Small-Business
  • 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
    Ease of Use
    1
    Cons
    Cost Estimation
    1
    Expensive
    1
    Initial Difficulties
    1
    Lack of Features
    1
    Learning Curve
    1
    View All Pros and Cons
  • 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: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,602 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,654 employees on LinkedIn®
    Ownership
    NASDAQ: CFLT
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
  • Senior Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 36% Enterprise
  • 34% Small-Business
Confluent 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
Ease of Use
1
Cons
Cost Estimation
1
Expensive
1
Initial Difficulties
1
Lack of Features
1
Learning Curve
1
View All Pros and Cons
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: 8.5
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,602 Twitter followers
LinkedIn® Page
www.linkedin.com
3,654 employees on LinkedIn®
Ownership
NASDAQ: CFLT
Dremio
(69)4.6 out of 5
13th Easiest To Use in Big Data Processing and Distribution software
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers thi

    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
    View All Pros and Cons
  • 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: 8.5
  • 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
    362 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Dremio is the pioneer of The Agentic Lakehouse—the only data platform built for agents, managed by agents. Organizations need to transform ideas into actions at unprecedented speed—Dremio delivers thi

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
View All Pros and Cons
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: 8.5
Seller Details
Seller
Dremio
Year Founded
2015
HQ Location
Santa Clara, California
Twitter
@dremio
5,084 Twitter followers
LinkedIn® Page
www.linkedin.com
362 employees on LinkedIn®
OpenText Vertica
(216)4.3 out of 5
12th Easiest To Use in Big Data Processing and Distribution software
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: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,591 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    23,270 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: 8.5
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,591 Twitter followers
LinkedIn® Page
www.linkedin.com
23,270 employees on LinkedIn®
Ownership
NASDAQ:OTEX
Google Cloud Dataflow
(44)4.2 out of 5
View top Consulting Services for Google Cloud Dataflow
  • Overview
    Expand/Collapse Overview
    • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workaround

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 39% Small-Business
    • 32% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
    • Google Cloud Dataflow Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Analytics
    1
    Ease of Use
    1
    Easy Management
    1
    Features
    1
    Insights
    1
    Cons
    Cost Management
    1
    Expensive
    1
    Installation Difficulty
    1
    Learning Difficulty
    1
    View All Pros and Cons
  • User Satisfaction
    Expand/Collapse User Satisfaction
    • Google Cloud Dataflow features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.3
    Real-Time Data Collection
    Average: 8.7
    8.8
    Machine Scaling
    Average: 8.6
    8.6
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
    • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,775,247 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workaround

Users
No information available
Industries
  • Computer Software
Market Segment
  • 39% Small-Business
  • 32% Mid-Market
Google Cloud Dataflow Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
1
Ease of Use
1
Easy Management
1
Features
1
Insights
1
Cons
Cost Management
1
Expensive
1
Installation Difficulty
1
Learning Difficulty
1
View All Pros and Cons
Google Cloud Dataflow features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.3
Real-Time Data Collection
Average: 8.7
8.8
Machine Scaling
Average: 8.6
8.6
Data Preparation
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,775,247 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
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