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Best Big Data Processing And Distribution Systems for for Small Business

Matthew Miller
MM
Researched and written by Matthew Miller

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, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small 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 Small 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 Small Business Big Data Processing And Distribution Systems category, a product must have at least 10 reviews left by a reviewer from a small business.

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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15 Listings in Small Business Big Data Processing and Distribution Available

(1,090)4.5 out of 5
1st Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 38% Enterprise
    • 33% 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
    344
    Speed
    191
    Fast Querying
    171
    Querying
    162
    Performance
    160
    Cons
    Expensive
    153
    Query Issues
    139
    Learning Curve
    109
    Cost Issues
    86
    Cost Management
    84
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 8.7
    8.6
    Real-Time Data Collection
    Average: 8.7
    8.7
    Machine Scaling
    Average: 8.7
    8.7
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 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
  • 38% Enterprise
  • 33% 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
344
Speed
191
Fast Querying
171
Querying
162
Performance
160
Cons
Expensive
153
Query Issues
139
Learning Curve
109
Cost Issues
86
Cost Management
84
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 8.7
8.6
Real-Time Data Collection
Average: 8.7
8.7
Machine Scaling
Average: 8.7
8.7
Data Preparation
Average: 8.6
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
(403)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Databricks Data Intelligence Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 47% Enterprise
    • 34% Mid-Market
  • 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
    Ease of Use
    182
    Features
    165
    Integrations
    104
    Data Management
    91
    Easy Integrations
    88
    Cons
    Learning Curve
    55
    Missing Features
    52
    Steep Learning Curve
    52
    Expensive
    49
    Performance Issues
    36
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.7
    8.5
    Real-Time Data Collection
    Average: 8.7
    8.9
    Machine Scaling
    Average: 8.7
    8.7
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    75,952 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,769 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 10,000 organizations worldwide — including Block, Comcast, Conde Nast, Rivian, and Shell, and over 60% of the Fortune 500 — rely on the Databricks Data

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 47% Enterprise
  • 34% Mid-Market
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
Ease of Use
182
Features
165
Integrations
104
Data Management
91
Easy Integrations
88
Cons
Learning Curve
55
Missing Features
52
Steep Learning Curve
52
Expensive
49
Performance Issues
36
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.7
8.5
Real-Time Data Collection
Average: 8.7
8.9
Machine Scaling
Average: 8.7
8.7
Data Preparation
Average: 8.6
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
75,952 Twitter followers
LinkedIn® Page
www.linkedin.com
9,769 employees on LinkedIn®

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(80)4.4 out of 5
Optimized for quick response
4th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Starburst
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Starburst offers the fastest and most scalable data lakehouse, built on enhanced Trino, a leading open-source MPP SQL engine. This high-performance architecture enables businesses to increase the valu

    Users
    No information available
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 48% Enterprise
    • 29% 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
    Ease of Use
    26
    Fast Querying
    19
    Integrations
    18
    Query Efficiency
    18
    Performance
    17
    Cons
    Slow Performance
    12
    Difficult Setup
    11
    Difficulty
    10
    Learning Curve
    10
    Query Issues
    10
  • 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
    8.1
    Real-Time Data Collection
    Average: 8.7
    8.2
    Machine Scaling
    Average: 8.7
    8.3
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Starburst
    Company Website
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,421 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    510 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Starburst offers the fastest and most scalable data lakehouse, built on enhanced Trino, a leading open-source MPP SQL engine. This high-performance architecture enables businesses to increase the valu

Users
No information available
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 48% Enterprise
  • 29% 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
Ease of Use
26
Fast Querying
19
Integrations
18
Query Efficiency
18
Performance
17
Cons
Slow Performance
12
Difficult Setup
11
Difficulty
10
Learning Curve
10
Query Issues
10
Starburst features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.1
Real-Time Data Collection
Average: 8.7
8.2
Machine Scaling
Average: 8.7
8.3
Data Preparation
Average: 8.6
Seller Details
Seller
Starburst
Company Website
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,421 Twitter followers
LinkedIn® Page
www.linkedin.com
510 employees on LinkedIn®
(584)4.5 out of 5
Optimized for quick response
3rd Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Snowflake
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Enterprise
    • 40% 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
    131
    Features
    75
    Data Management
    63
    Efficiency Improvement
    61
    Database Management
    58
    Cons
    Expensive
    55
    Feature Limitations
    46
    Limited Features
    33
    Missing Features
    28
    Query Issues
    28
  • 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
    8.7
    Real-Time Data Collection
    Average: 8.7
    9.0
    Machine Scaling
    Average: 8.7
    9.0
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    55,795 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8,874 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
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Enterprise
  • 40% 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
131
Features
75
Data Management
63
Efficiency Improvement
61
Database Management
58
Cons
Expensive
55
Feature Limitations
46
Limited Features
33
Missing Features
28
Query Issues
28
Snowflake features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.7
Real-Time Data Collection
Average: 8.7
9.0
Machine Scaling
Average: 8.7
9.0
Data Preparation
Average: 8.6
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
55,795 Twitter followers
LinkedIn® Page
www.linkedin.com
8,874 employees on LinkedIn®
(216)4.3 out of 5
10th Easiest To Use in Big Data Processing and Distribution software
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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.

    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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OpenText Vertica 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
    13
    Ease of Use
    12
    Fast Processing
    12
    Performance
    11
    Features
    10
    Cons
    Expensive
    11
    Difficulty
    7
    Learning Curve
    6
    Complexity
    4
    Complex Setup
    4
  • 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: 8.7
    8.4
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,942 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22,114 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 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
13
Ease of Use
12
Fast Processing
12
Performance
11
Features
10
Cons
Expensive
11
Difficulty
7
Learning Curve
6
Complexity
4
Complex Setup
4
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: 8.7
8.4
Data Preparation
Average: 8.6
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,942 Twitter followers
LinkedIn® Page
www.linkedin.com
22,114 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(2,212)4.4 out of 5
5th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Microsoft SQL Server
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  • 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
    39
    Database Management
    34
    Features
    20
    Speed
    17
    Data Management
    16
    Cons
    Performance Issues
    11
    Expensive
    10
    Slow Performance
    9
    Limitations
    7
    Poor Performance
    7
  • 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
    8.7
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.7
    8.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 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
39
Database Management
34
Features
20
Speed
17
Data Management
16
Cons
Performance Issues
11
Expensive
10
Slow Performance
9
Limitations
7
Poor Performance
7
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
8.7
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.7
8.6
Data Preparation
Average: 8.6
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
(324)4.3 out of 5
13th Easiest To Use in Big Data Processing and Distribution software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 71% Enterprise
    • 19% 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.
    • PrestoSQL, now replaced by Trino, is a product that offers connectivity to a variety of data storage platforms and expands the number of external data sources that Teradata users can explore.
    • Users like the product's language integration, ease of use, deployment flexibility, and the support provided by the Teradata team during implementation and ongoing support afterwards.
    • Reviewers mentioned that the compatibility of Teradata QueryGrid and their supporting PrestoSQL instance falls behind the open-source community, and integrations often have to remain several versions behind what is available elsewhere.
  • 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
    Ease of Use
    58
    Performance
    38
    Features
    35
    Analytics
    32
    Scalability
    32
    Cons
    Expensive
    23
    Learning Curve
    15
    Complexity
    13
    Data Management Issues
    13
    Missing Features
    12
  • 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
    7.7
    Real-Time Data Collection
    Average: 8.7
    8.5
    Machine Scaling
    Average: 8.7
    8.9
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    88,712 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,355 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
  • Software Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 71% Enterprise
  • 19% 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.
  • PrestoSQL, now replaced by Trino, is a product that offers connectivity to a variety of data storage platforms and expands the number of external data sources that Teradata users can explore.
  • Users like the product's language integration, ease of use, deployment flexibility, and the support provided by the Teradata team during implementation and ongoing support afterwards.
  • Reviewers mentioned that the compatibility of Teradata QueryGrid and their supporting PrestoSQL instance falls behind the open-source community, and integrations often have to remain several versions behind what is available elsewhere.
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
Ease of Use
58
Performance
38
Features
35
Analytics
32
Scalability
32
Cons
Expensive
23
Learning Curve
15
Complexity
13
Data Management Issues
13
Missing Features
12
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
7.7
Real-Time Data Collection
Average: 8.7
8.5
Machine Scaling
Average: 8.7
8.9
Data Preparation
Average: 8.6
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
88,712 Twitter followers
LinkedIn® Page
www.linkedin.com
10,355 employees on LinkedIn®
(140)4.4 out of 5
12th Easiest To Use in Big Data Processing and Distribution software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 55% Enterprise
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hadoop HDFS 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
    Large Datasets
    3
    Data Storage
    2
    Ease of Use
    2
    Fast Processing
    2
    Scalability
    2
    Cons
    Difficulty
    2
    Installation Difficulty
    1
    Learning Curve
    1
    Limited Access
    1
    Real-Time Analysis
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hadoop HDFS features and usability ratings that predict user satisfaction
    7.7
    Has the product been a good partner in doing business?
    Average: 8.7
    8.5
    Real-Time Data Collection
    Average: 8.7
    8.4
    Machine Scaling
    Average: 8.7
    8.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,229 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hadoop HDFS is a distributed, scalable, and portable filesystem written in Java.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 55% Enterprise
  • 23% Mid-Market
Hadoop HDFS 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
Large Datasets
3
Data Storage
2
Ease of Use
2
Fast Processing
2
Scalability
2
Cons
Difficulty
2
Installation Difficulty
1
Learning Curve
1
Limited Access
1
Real-Time Analysis
1
Hadoop HDFS features and usability ratings that predict user satisfaction
7.7
Has the product been a good partner in doing business?
Average: 8.7
8.5
Real-Time Data Collection
Average: 8.7
8.4
Machine Scaling
Average: 8.7
8.6
Data Preparation
Average: 8.6
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,229 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®
(64)4.1 out of 5
6th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Amazon EMR
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  • 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
    • 59% 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
    Features
    1
    Large Datasets
    1
    Scalability
    1
    Cons
    Complexity
    1
    Limited Features
    1
    Poor Performance
    1
    Slow Performance
    1
  • 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
    8.7
    Machine Scaling
    Average: 8.7
    8.7
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 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
  • 59% 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
Features
1
Large Datasets
1
Scalability
1
Cons
Complexity
1
Limited Features
1
Poor Performance
1
Slow Performance
1
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
8.7
Machine Scaling
Average: 8.7
8.7
Data Preparation
Average: 8.6
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(51)4.3 out of 5
View top Consulting Services for Google Cloud Dataflow
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  • 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
    • 33% Small-Business
    • 27% 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
    Cloud Computing
    2
    Comprehensive Solutions
    2
    Data Management
    2
    Analytics
    1
    API Integration
    1
    Cons
    Poor Documentation
    2
    Cloud Compatibility
    1
    Cloud Dependency
    1
    Complex Pricing
    1
    Connector Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Dataflow features and usability ratings that predict user satisfaction
    8.8
    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: 8.7
    8.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    32,520,271 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    301,875 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
  • 33% Small-Business
  • 27% 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
Cloud Computing
2
Comprehensive Solutions
2
Data Management
2
Analytics
1
API Integration
1
Cons
Poor Documentation
2
Cloud Compatibility
1
Cloud Dependency
1
Complex Pricing
1
Connector Issues
1
Google Cloud Dataflow features and usability ratings that predict user satisfaction
8.8
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: 8.7
8.6
Data Preparation
Average: 8.6
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,520,271 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(45)4.5 out of 5
15th Easiest To Use in Big Data Processing and Distribution software
View top Consulting Services for Azure Data Lake Store
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

    Users
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    Market Segment
    • 40% Enterprise
    • 27% 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
    2
    Fast Processing
    2
    Scalability
    2
    Data Integration
    1
    Data Management
    1
    Cons
    Limited Features
    2
    Data Formatting
    1
    Difficulty
    1
    Poor Documentation
    1
    Query Functionality
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Data Lake Store features and usability ratings that predict user satisfaction
    8.6
    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: 8.7
    9.1
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    14,031,499 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    238,990 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure Data Lake Store is secured, massively scalable, and built to the open HDFS standard, allowing you to run massively-parallel analytics.

Users
  • Senior Data Engineer
Industries
  • Information Technology and Services
Market Segment
  • 40% Enterprise
  • 27% 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
2
Fast Processing
2
Scalability
2
Data Integration
1
Data Management
1
Cons
Limited Features
2
Data Formatting
1
Difficulty
1
Poor Documentation
1
Query Functionality
1
Azure Data Lake Store features and usability ratings that predict user satisfaction
8.6
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: 8.7
9.1
Data Preparation
Average: 8.6
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
14,031,499 Twitter followers
LinkedIn® Page
www.linkedin.com
238,990 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 50% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AWS Lake Formation 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
    Automation
    1
    Cloud Integration
    1
    Data Security
    1
    Ease of Use
    1
    Easy Integrations
    1
    Cons
    Compatibility Issues
    1
    Complexity
    1
    Cost Management
    1
    Dependency Issues
    1
    Difficult Setup
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AWS Lake Formation features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.7
    8.0
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.7
    7.6
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,230,610 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    136,383 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 50% Small-Business
  • 33% Enterprise
AWS Lake Formation 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
Automation
1
Cloud Integration
1
Data Security
1
Ease of Use
1
Easy Integrations
1
Cons
Compatibility Issues
1
Complexity
1
Cost Management
1
Dependency Issues
1
Difficult Setup
1
AWS Lake Formation features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.7
8.0
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.7
7.6
Data Preparation
Average: 8.6
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,230,610 Twitter followers
LinkedIn® Page
www.linkedin.com
136,383 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(111)4.4 out of 5
7th Easiest To Use in Big Data Processing and Distribution 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
    • 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
    Ease of Use
    17
    Features
    12
    Easy Integrations
    11
    Scalability
    11
    Integrations
    10
    Cons
    Poor Documentation
    7
    Expensive
    6
    Limitations
    5
    Difficult Learning
    4
    Learning Curve
    4
  • 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: 8.7
    7.8
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Confluent
    Year Founded
    2014
    HQ Location
    Mountain View, California
    Twitter
    @ConfluentInc
    43,205 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,311 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
Ease of Use
17
Features
12
Easy Integrations
11
Scalability
11
Integrations
10
Cons
Poor Documentation
7
Expensive
6
Limitations
5
Difficult Learning
4
Learning Curve
4
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: 8.7
7.8
Data Preparation
Average: 8.6
Seller Details
Seller
Confluent
Year Founded
2014
HQ Location
Mountain View, California
Twitter
@ConfluentInc
43,205 Twitter followers
LinkedIn® Page
www.linkedin.com
3,311 employees on LinkedIn®
Ownership
NASDAQ: CFLT
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 39% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TIMi Suite 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
    4
    Customer Support
    3
    Features
    3
    Performance Efficiency
    3
    Speed
    3
    Cons
    Coding Difficulty
    1
    Complexity
    1
    Complex Syntax
    1
    Confusing Syntax
    1
    Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TIMi Suite features and usability ratings that predict user satisfaction
    9.4
    Has the product been a good partner in doing business?
    Average: 8.7
    9.3
    Real-Time Data Collection
    Average: 8.7
    8.8
    Machine Scaling
    Average: 8.7
    9.5
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TIMi SPRL
    Company Website
    Year Founded
    2007
    HQ Location
    Brussels
    Twitter
    @TIMiSuite
    3,679 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    71 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 39% Small-Business
  • 33% Enterprise
TIMi Suite 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
4
Customer Support
3
Features
3
Performance Efficiency
3
Speed
3
Cons
Coding Difficulty
1
Complexity
1
Complex Syntax
1
Confusing Syntax
1
Difficulty
1
TIMi Suite features and usability ratings that predict user satisfaction
9.4
Has the product been a good partner in doing business?
Average: 8.7
9.3
Real-Time Data Collection
Average: 8.7
8.8
Machine Scaling
Average: 8.7
9.5
Data Preparation
Average: 8.6
Seller Details
Seller
TIMi SPRL
Company Website
Year Founded
2007
HQ Location
Brussels
Twitter
@TIMiSuite
3,679 Twitter followers
LinkedIn® Page
www.linkedin.com
71 employees on LinkedIn®
(554)4.5 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Research Assistant
    • Graduate Research Assistant
    Industries
    • Higher Education
    • Information Technology and Services
    Market Segment
    • 49% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Posit 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
    3
    User Interface
    3
    UX Design
    3
    Features
    2
    Navigation Ease
    2
    Cons
    Slow Performance
    3
    Performance Issues
    2
    Slow Loading
    2
    Complexity
    1
    Insufficient Learning Resources
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Posit features and usability ratings that predict user satisfaction
    8.5
    Has the product been a good partner in doing business?
    Average: 8.7
    8.9
    Real-Time Data Collection
    Average: 8.7
    7.5
    Machine Scaling
    Average: 8.7
    8.5
    Data Preparation
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Posit
    Year Founded
    2009
    HQ Location
    Boston, MA
    Twitter
    @posit_pbc
    125,957 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    402 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Research Assistant
  • Graduate Research Assistant
Industries
  • Higher Education
  • Information Technology and Services
Market Segment
  • 49% Enterprise
  • 27% Mid-Market
Posit 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
3
User Interface
3
UX Design
3
Features
2
Navigation Ease
2
Cons
Slow Performance
3
Performance Issues
2
Slow Loading
2
Complexity
1
Insufficient Learning Resources
1
Posit features and usability ratings that predict user satisfaction
8.5
Has the product been a good partner in doing business?
Average: 8.7
8.9
Real-Time Data Collection
Average: 8.7
7.5
Machine Scaling
Average: 8.7
8.5
Data Preparation
Average: 8.6
Seller Details
Seller
Posit
Year Founded
2009
HQ Location
Boston, MA
Twitter
@posit_pbc
125,957 Twitter followers
LinkedIn® Page
www.linkedin.com
402 employees on LinkedIn®