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Best Big Data Analytics Software for for Small Business

Matthew Miller
MM
Researched and written by Matthew Miller

Products classified in the overall Big Data Analytics category are similar in many regards and help companies of all sizes solve their business problems. However, 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 Analytics to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Big Data Analytics category.

In addition to qualifying for inclusion in the Big Data Analytics Software category, to qualify for inclusion in the Small Business Big Data Analytics Software 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 Analytics Available

(1,090)4.5 out of 5
3rd Easiest To Use in Big Data Analytics software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 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: 8.8
    8.7
    Multi-Source Analysis
    Average: 8.4
    8.8
    Real-Time Analytics
    Average: 8.4
    8.7
    Data Workflow
    Average: 8.3
  • 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: 8.8
8.7
Multi-Source Analysis
Average: 8.4
8.8
Real-Time Analytics
Average: 8.4
8.7
Data Workflow
Average: 8.3
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
5th Easiest To Use in Big Data Analytics 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: 8.8
    8.9
    Multi-Source Analysis
    Average: 8.4
    8.6
    Real-Time Analytics
    Average: 8.4
    8.7
    Data Workflow
    Average: 8.3
  • 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: 8.8
8.9
Multi-Source Analysis
Average: 8.4
8.6
Real-Time Analytics
Average: 8.4
8.7
Data Workflow
Average: 8.3
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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(584)4.5 out of 5
Optimized for quick response
1st Easiest To Use in Big Data Analytics 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: 8.8
    8.8
    Multi-Source Analysis
    Average: 8.4
    9.1
    Real-Time Analytics
    Average: 8.4
    8.8
    Data Workflow
    Average: 8.3
  • 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: 8.8
8.8
Multi-Source Analysis
Average: 8.4
9.1
Real-Time Analytics
Average: 8.4
8.8
Data Workflow
Average: 8.3
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)4.5 out of 5
4th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 50% Enterprise
    • 26% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Databricks Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    28
    Features
    13
    Performance
    12
    Integrations
    11
    Analytics
    9
    Cons
    Expensive
    10
    Learning Curve
    6
    Poor UI Design
    6
    Poor Customer Support
    4
    Slow Performance
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Databricks features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.4
    8.8
    Real-Time Analytics
    Average: 8.4
    8.6
    Data Workflow
    Average: 8.3
  • 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.

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

Users
  • Software Engineer
  • Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 50% Enterprise
  • 26% Small-Business
Azure Databricks Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
28
Features
13
Performance
12
Integrations
11
Analytics
9
Cons
Expensive
10
Learning Curve
6
Poor UI Design
6
Poor Customer Support
4
Slow Performance
4
Azure Databricks features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.4
8.8
Real-Time Analytics
Average: 8.4
8.6
Data Workflow
Average: 8.3
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
(625)4.6 out of 5
Optimized for quick response
2nd Easiest To Use in Big Data Analytics software
View top Consulting Services for Alteryx
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

    Users
    • Data Analyst
    • Consultant
    Industries
    • Financial Services
    • Accounting
    Market Segment
    • 64% Enterprise
    • 22% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Alteryx Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    146
    Intuitive
    55
    Automation
    53
    Easy Learning
    46
    Ease of Learning
    43
    Cons
    Learning Curve
    40
    Expensive
    34
    Learning Difficulty
    25
    Complexity
    19
    Missing Features
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Alteryx features and usability ratings that predict user satisfaction
    9.0
    Has the product been a good partner in doing business?
    Average: 8.8
    9.0
    Multi-Source Analysis
    Average: 8.4
    8.6
    Real-Time Analytics
    Average: 8.4
    9.2
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Alteryx
    Company Website
    Year Founded
    1997
    HQ Location
    Irvine, CA
    Twitter
    @alteryx
    26,732 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,287 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The Alteryx AI Platform for Enterprise Analytics offers integrated generative and conversational AI, data preparation, advanced analytics, and automated reporting capabilities. The platform is powered

Users
  • Data Analyst
  • Consultant
Industries
  • Financial Services
  • Accounting
Market Segment
  • 64% Enterprise
  • 22% Mid-Market
Alteryx Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
146
Intuitive
55
Automation
53
Easy Learning
46
Ease of Learning
43
Cons
Learning Curve
40
Expensive
34
Learning Difficulty
25
Complexity
19
Missing Features
17
Alteryx features and usability ratings that predict user satisfaction
9.0
Has the product been a good partner in doing business?
Average: 8.8
9.0
Multi-Source Analysis
Average: 8.4
8.6
Real-Time Analytics
Average: 8.4
9.2
Data Workflow
Average: 8.3
Seller Details
Seller
Alteryx
Company Website
Year Founded
1997
HQ Location
Irvine, CA
Twitter
@alteryx
26,732 Twitter followers
LinkedIn® Page
www.linkedin.com
2,287 employees on LinkedIn®
(80)4.4 out of 5
Optimized for quick response
8th Easiest To Use in Big Data Analytics 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: 8.8
    8.7
    Multi-Source Analysis
    Average: 8.4
    8.0
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.3
  • 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: 8.8
8.7
Multi-Source Analysis
Average: 8.4
8.0
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.3
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®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Graduate Research Assistant
    • Student
    Industries
    • Higher Education
    • Research
    Market Segment
    • 43% Enterprise
    • 30% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MATLAB Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    9
    Simulation
    6
    Features
    5
    Problem Solving
    5
    Insights
    4
    Cons
    Expensive
    3
    Cost
    2
    Difficult Learning
    2
    High System Requirements
    2
    Lack of Features
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MATLAB features and usability ratings that predict user satisfaction
    8.4
    Has the product been a good partner in doing business?
    Average: 8.8
    8.4
    Multi-Source Analysis
    Average: 8.4
    8.7
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MathWorks
    Year Founded
    1984
    HQ Location
    Natick, MA
    Twitter
    @MATLAB
    99,670 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    7,496 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Graduate Research Assistant
  • Student
Industries
  • Higher Education
  • Research
Market Segment
  • 43% Enterprise
  • 30% Small-Business
MATLAB Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
9
Simulation
6
Features
5
Problem Solving
5
Insights
4
Cons
Expensive
3
Cost
2
Difficult Learning
2
High System Requirements
2
Lack of Features
2
MATLAB features and usability ratings that predict user satisfaction
8.4
Has the product been a good partner in doing business?
Average: 8.8
8.4
Multi-Source Analysis
Average: 8.4
8.7
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.3
Seller Details
Seller
MathWorks
Year Founded
1984
HQ Location
Natick, MA
Twitter
@MATLAB
99,670 Twitter followers
LinkedIn® Page
www.linkedin.com
7,496 employees on LinkedIn®
(23)4.7 out of 5
7th Easiest To Use in Big Data Analytics 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.

    Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transf

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 65% Small-Business
    • 17% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Omniscope Evo 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
    Features
    10
    Analytics
    9
    Automation
    7
    Usability
    7
    Cons
    Missing Features
    4
    Dashboard Issues
    2
    Expensive
    2
    Limited Customization
    2
    Limited Visualization
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Omniscope Evo features and usability ratings that predict user satisfaction
    9.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.9
    Multi-Source Analysis
    Average: 8.4
    8.4
    Real-Time Analytics
    Average: 8.4
    9.8
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2002
    HQ Location
    London, GB
    Twitter
    @Visokio
    263 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Visokio builds Omniscope Evo, complete and extensible BI software for data processing, analytics and reporting. A smart experience on any device. Start from any data in any shape, load, blend, transf

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 65% Small-Business
  • 17% Enterprise
Omniscope Evo 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
Features
10
Analytics
9
Automation
7
Usability
7
Cons
Missing Features
4
Dashboard Issues
2
Expensive
2
Limited Customization
2
Limited Visualization
2
Omniscope Evo features and usability ratings that predict user satisfaction
9.5
Has the product been a good partner in doing business?
Average: 8.8
8.9
Multi-Source Analysis
Average: 8.4
8.4
Real-Time Analytics
Average: 8.4
9.8
Data Workflow
Average: 8.3
Seller Details
Year Founded
2002
HQ Location
London, GB
Twitter
@Visokio
263 Twitter followers
LinkedIn® Page
www.linkedin.com
8 employees on LinkedIn®
By IBM
(90)4.3 out of 5
View top Consulting Services for IBM Cloud Pak for Data
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 50% Enterprise
    • 28% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Cloud Pak for Data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    10
    Ease of Use
    8
    Insights
    8
    Analytics
    6
    Data Management
    6
    Cons
    Complexity
    6
    Learning Curve
    6
    Poor User Interface
    5
    Complexity Issues
    4
    Expensive
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.1
    Multi-Source Analysis
    Average: 8.4
    8.5
    Real-Time Analytics
    Average: 8.4
    8.9
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,154 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 50% Enterprise
  • 28% Small-Business
IBM Cloud Pak for Data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
10
Ease of Use
8
Insights
8
Analytics
6
Data Management
6
Cons
Complexity
6
Learning Curve
6
Poor User Interface
5
Complexity Issues
4
Expensive
4
IBM Cloud Pak for Data features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.1
Multi-Source Analysis
Average: 8.4
8.5
Real-Time Analytics
Average: 8.4
8.9
Data Workflow
Average: 8.3
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,154 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM
(324)4.3 out of 5
9th Easiest To Use in Big Data Analytics software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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: 8.8
    8.0
    Multi-Source Analysis
    Average: 8.4
    8.1
    Real-Time Analytics
    Average: 8.4
    8.0
    Data Workflow
    Average: 8.3
  • 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: 8.8
8.0
Multi-Source Analysis
Average: 8.4
8.1
Real-Time Analytics
Average: 8.4
8.0
Data Workflow
Average: 8.3
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®
(159)4.8 out of 5
6th Easiest To Use in Big Data Analytics software
View top Consulting Services for dbt
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

    Users
    • Analytics Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 59% Mid-Market
    • 25% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • dbt 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
    30
    Features
    23
    Transformation
    16
    Integrations
    13
    Analytics
    12
    Cons
    Feature Limitations
    13
    Missing Features
    12
    Limited Functionality
    10
    Learning Curve
    7
    Learning Difficulty
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • dbt features and usability ratings that predict user satisfaction
    8.8
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Multi-Source Analysis
    Average: 8.4
    7.7
    Real-Time Analytics
    Average: 8.4
    9.5
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    dbt Labs
    Company Website
    Year Founded
    2016
    HQ Location
    Philadelphia, US
    Twitter
    @getdbt
    13,121 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    535 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documenta

Users
  • Analytics Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 59% Mid-Market
  • 25% Small-Business
dbt 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
30
Features
23
Transformation
16
Integrations
13
Analytics
12
Cons
Feature Limitations
13
Missing Features
12
Limited Functionality
10
Learning Curve
7
Learning Difficulty
7
dbt features and usability ratings that predict user satisfaction
8.8
Has the product been a good partner in doing business?
Average: 8.8
8.3
Multi-Source Analysis
Average: 8.4
7.7
Real-Time Analytics
Average: 8.4
9.5
Data Workflow
Average: 8.3
Seller Details
Seller
dbt Labs
Company Website
Year Founded
2016
HQ Location
Philadelphia, US
Twitter
@getdbt
13,121 Twitter followers
LinkedIn® Page
www.linkedin.com
535 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Gigasheet is a powerful, no-code platform designed for big data analysis, enabling users to effortlessly explore and analyze vast datasets through a user-friendly, spreadsheet-like interface. It suppo

    Users
    No information available
    Industries
    • Marketing and Advertising
    Market Segment
    • 71% Small-Business
    • 19% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Gigasheet features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 8.8
    10.0
    Multi-Source Analysis
    Average: 8.4
    10.0
    Real-Time Analytics
    Average: 8.4
    10.0
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Gigasheet
    Year Founded
    2020
    HQ Location
    Washington DC Area
    Twitter
    @gigasheet
    361 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Gigasheet is a powerful, no-code platform designed for big data analysis, enabling users to effortlessly explore and analyze vast datasets through a user-friendly, spreadsheet-like interface. It suppo

Users
No information available
Industries
  • Marketing and Advertising
Market Segment
  • 71% Small-Business
  • 19% Mid-Market
Gigasheet features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 8.8
10.0
Multi-Source Analysis
Average: 8.4
10.0
Real-Time Analytics
Average: 8.4
10.0
Data Workflow
Average: 8.3
Seller Details
Seller
Gigasheet
Year Founded
2020
HQ Location
Washington DC Area
Twitter
@gigasheet
361 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
(111)4.4 out of 5
12th Easiest To Use in Big Data Analytics software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 36% Enterprise
    • 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: 8.8
    8.3
    Multi-Source Analysis
    Average: 8.4
    8.9
    Real-Time Analytics
    Average: 8.4
    7.9
    Data Workflow
    Average: 8.3
  • 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
  • Senior Software Engineer
  • 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: 8.8
8.3
Multi-Source Analysis
Average: 8.4
8.9
Real-Time Analytics
Average: 8.4
7.9
Data Workflow
Average: 8.3
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
By NI
(44)4.4 out of 5
Save to My Lists
Entry Level Price:$666.00
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DIAdem is data management software for measurement data aggregation, inspection, analysis, and reporting. DIAdem is application software that helps engineers accelerate post-processing of measurement

    Users
    No information available
    Industries
    • Automotive
    • Mechanical or Industrial Engineering
    Market Segment
    • 43% Small-Business
    • 41% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • DIAdem 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
    Features
    1
    Large Datasets
    1
    Performance
    1
    Productivity Improvement
    1
    Cons
    Unclear Pricing
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DIAdem features and usability ratings that predict user satisfaction
    7.5
    Has the product been a good partner in doing business?
    Average: 8.8
    8.6
    Multi-Source Analysis
    Average: 8.4
    8.5
    Real-Time Analytics
    Average: 8.4
    9.3
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NI
    Year Founded
    1976
    HQ Location
    Austin, TX
    Twitter
    @NIglobal
    26,872 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    8,107 employees on LinkedIn®
    Ownership
    NASDAQ: NATI
Product Description
How are these determined?Information
This description is provided by the seller.

DIAdem is data management software for measurement data aggregation, inspection, analysis, and reporting. DIAdem is application software that helps engineers accelerate post-processing of measurement

Users
No information available
Industries
  • Automotive
  • Mechanical or Industrial Engineering
Market Segment
  • 43% Small-Business
  • 41% Enterprise
DIAdem 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
Features
1
Large Datasets
1
Performance
1
Productivity Improvement
1
Cons
Unclear Pricing
1
DIAdem features and usability ratings that predict user satisfaction
7.5
Has the product been a good partner in doing business?
Average: 8.8
8.6
Multi-Source Analysis
Average: 8.4
8.5
Real-Time Analytics
Average: 8.4
9.3
Data Workflow
Average: 8.3
Seller Details
Seller
NI
Year Founded
1976
HQ Location
Austin, TX
Twitter
@NIglobal
26,872 Twitter followers
LinkedIn® Page
www.linkedin.com
8,107 employees on LinkedIn®
Ownership
NASDAQ: NATI
(259)4.0 out of 5
11th Easiest To Use in Big Data Analytics software
Save to My Lists
Entry Level Price:30 day free trial
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • Data Scientist
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 51% Enterprise
    • 44% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Qubole 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
    Customer Support
    1
    Ease of Use
    1
    Features
    1
    Performance
    1
    Speed
    1
    Cons
    Cluster Management
    1
    Feature Limitations
    1
    Lacking Features
    1
    Limited Features
    1
    Missing Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Qubole features and usability ratings that predict user satisfaction
    8.1
    Has the product been a good partner in doing business?
    Average: 8.8
    8.3
    Multi-Source Analysis
    Average: 8.4
    8.0
    Real-Time Analytics
    Average: 8.4
    7.8
    Data Workflow
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qubole
    Year Founded
    2011
    HQ Location
    Santa Clara, CA
    Twitter
    @qubole
    9,719 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    29 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
  • Data Scientist
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 51% Enterprise
  • 44% Mid-Market
Qubole 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
Customer Support
1
Ease of Use
1
Features
1
Performance
1
Speed
1
Cons
Cluster Management
1
Feature Limitations
1
Lacking Features
1
Limited Features
1
Missing Features
1
Qubole features and usability ratings that predict user satisfaction
8.1
Has the product been a good partner in doing business?
Average: 8.8
8.3
Multi-Source Analysis
Average: 8.4
8.0
Real-Time Analytics
Average: 8.4
7.8
Data Workflow
Average: 8.3
Seller Details
Seller
Qubole
Year Founded
2011
HQ Location
Santa Clara, CA
Twitter
@qubole
9,719 Twitter followers
LinkedIn® Page
www.linkedin.com
29 employees on LinkedIn®