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Best Data Warehouse Solutions with AI/ ML Integration Capabilities

Benefits of Data Warehouse Solutions with AI/ ML Integration capabilities include: Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.
Below are the top-rated Data Warehouse Solutions with AI/ ML Integration capabilities, as verified by G2’s Research team. Real users have identified AI/ ML Integration as an important function of Data Warehouse Solutions. Compare different products that offer this feature so you can decide which is best for your business needs.
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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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16 Listings in Data Warehouse Available
(1,201)4.5 out of 5
3rd Easiest To Use in Data Warehouse software
View top Consulting Services for Google Cloud BigQuery
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Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    169
    Speed
    139
    Fast Querying
    120
    Integrations
    119
    Query Efficiency
    116
    Cons
    Expensive
    126
    Query Issues
    77
    Cost Issues
    58
    Cost Management
    58
    Learning Curve
    54
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Ease of Use
    Average: 8.8
    8.7
    Data Governance
    Average: 8.4
    9.2
    Data Security
    Average: 8.8
    9.1
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Company Website
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,508,752 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 36% Mid-Market
Google Cloud BigQuery Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
169
Speed
139
Fast Querying
120
Integrations
119
Query Efficiency
116
Cons
Expensive
126
Query Issues
77
Cost Issues
58
Cost Management
58
Learning Curve
54
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.8
8.7
Data Governance
Average: 8.4
9.2
Data Security
Average: 8.8
9.1
Scalability
Average: 8.5
Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,508,752 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
(634)4.6 out of 5
Optimized for quick response
5th Easiest To Use in Data Warehouse software
View top Consulting Services for Databricks Data Intelligence Platform
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Scientist
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
    • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
    • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Data Intelligence Platform Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    266
    Ease of Use
    256
    Integrations
    178
    Collaboration
    142
    Easy Integrations
    139
    Cons
    Learning Curve
    101
    Steep Learning Curve
    88
    Expensive
    87
    Missing Features
    62
    UX Improvement
    58
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.8
    Ease of Use
    Average: 8.8
    8.8
    Data Governance
    Average: 8.4
    8.9
    Data Security
    Average: 8.8
    9.1
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    1999
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    84,467 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,680 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Scientist
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified analytics platform that combines data engineering, analytics, governance, and machine learning capabilities for efficient data processing and management.
  • Users frequently mention the platform's seamless integration of various data tasks, its collaborative environment, and its ability to handle large-scale data efficiently, making it a powerful tool for data-driven teams.
  • Reviewers experienced a steep learning curve, especially for those unfamiliar with Spark or distributed computing, and found the cost structure to be potentially expensive for continuous workloads.
Databricks Data Intelligence Platform Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
266
Ease of Use
256
Integrations
178
Collaboration
142
Easy Integrations
139
Cons
Learning Curve
101
Steep Learning Curve
88
Expensive
87
Missing Features
62
UX Improvement
58
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.8
8.8
Data Governance
Average: 8.4
8.9
Data Security
Average: 8.8
9.1
Scalability
Average: 8.5
Seller Details
Company Website
Year Founded
1999
HQ Location
San Francisco, CA
Twitter
@databricks
84,467 Twitter followers
LinkedIn® Page
www.linkedin.com
13,680 employees on LinkedIn®

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(666)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Data Warehouse software
View top Consulting Services for Snowflake
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Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 45% Enterprise
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    84
    Features
    64
    Data Management
    61
    Integrations
    57
    Scalability
    54
    Cons
    Expensive
    46
    Cost
    26
    Cost Management
    23
    Learning Curve
    22
    Feature Limitations
    20
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.8
    8.9
    Data Governance
    Average: 8.4
    9.1
    Data Security
    Average: 8.8
    9.2
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    159 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,207 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 45% Enterprise
  • 42% Mid-Market
Snowflake Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
84
Features
64
Data Management
61
Integrations
57
Scalability
54
Cons
Expensive
46
Cost
26
Cost Management
23
Learning Curve
22
Feature Limitations
20
Snowflake features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.8
8.9
Data Governance
Average: 8.4
9.1
Data Security
Average: 8.8
9.2
Scalability
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
159 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®
(397)4.3 out of 5
12th Easiest To Use in Data Warehouse software
View top Consulting Services for Amazon Redshift
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Entry Level Price:$1.22 - $3.26 Per hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your

    Users
    • Data Engineer
    • Senior Data Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Enterprise
    • 38% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Amazon Redshift 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
    7
    Integrations
    6
    Speed
    6
    Fast Querying
    5
    Large Datasets
    5
    Cons
    Complexity
    5
    Feature Limitations
    5
    Software Limitations
    5
    Query Issues
    4
    Query Optimization
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Redshift features and usability ratings that predict user satisfaction
    8.7
    Ease of Use
    Average: 8.8
    8.7
    Data Governance
    Average: 8.4
    8.8
    Data Security
    Average: 8.8
    8.9
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,637 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your

Users
  • Data Engineer
  • Senior Data Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Enterprise
  • 38% Mid-Market
Amazon Redshift 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
7
Integrations
6
Speed
6
Fast Querying
5
Large Datasets
5
Cons
Complexity
5
Feature Limitations
5
Software Limitations
5
Query Issues
4
Query Optimization
4
Amazon Redshift features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.8
8.7
Data Governance
Average: 8.4
8.8
Data Security
Average: 8.8
8.9
Scalability
Average: 8.5
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,637 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(360)4.3 out of 5
10th Easiest To Use in Data Warehouse software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 70% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
    • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
    • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Teradata Vantage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    19
    Scalability
    16
    Speed
    16
    Analytics
    15
    Large Datasets
    12
    Cons
    Learning Curve
    11
    Complexity
    5
    Integration Issues
    5
    Performance Issues
    5
    Poor UI Design
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Teradata Vantage features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    7.9
    Data Governance
    Average: 8.4
    8.2
    Data Security
    Average: 8.8
    8.5
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Teradata
    Company Website
    Year Founded
    1979
    HQ Location
    San Diego, CA
    Twitter
    @Teradata
    93,485 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,948 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
  • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
  • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
Teradata Vantage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
19
Scalability
16
Speed
16
Analytics
15
Large Datasets
12
Cons
Learning Curve
11
Complexity
5
Integration Issues
5
Performance Issues
5
Poor UI Design
5
Teradata Vantage features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
7.9
Data Governance
Average: 8.4
8.2
Data Security
Average: 8.8
8.5
Scalability
Average: 8.5
Seller Details
Seller
Teradata
Company Website
Year Founded
1979
HQ Location
San Diego, CA
Twitter
@Teradata
93,485 Twitter followers
LinkedIn® Page
www.linkedin.com
9,948 employees on LinkedIn®
(84)4.1 out of 5
9th Easiest To Use in Data Warehouse software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Integrates database, server, storage and analytics into a single system with petabyte scalability. Fast analytics Provides a high-performance, massively parallel system that enables you to gain insig

    Users
    No information available
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 62% Enterprise
    • 27% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Netezza Performance 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
    Speed
    5
    Performance
    4
    Ease of Use
    3
    Fast Processing
    3
    Efficiency
    2
    Cons
    Expensive
    3
    High Maintenance Costs
    2
    Integration Issues
    1
    Limited Customization
    1
    Slow Performance
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Netezza Performance Server features and usability ratings that predict user satisfaction
    8.8
    Ease of Use
    Average: 8.8
    8.9
    Data Governance
    Average: 8.4
    9.0
    Data Security
    Average: 8.8
    8.5
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,950 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

Integrates database, server, storage and analytics into a single system with petabyte scalability. Fast analytics Provides a high-performance, massively parallel system that enables you to gain insig

Users
No information available
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 62% Enterprise
  • 27% Mid-Market
IBM Netezza Performance 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
Speed
5
Performance
4
Ease of Use
3
Fast Processing
3
Efficiency
2
Cons
Expensive
3
High Maintenance Costs
2
Integration Issues
1
Limited Customization
1
Slow Performance
1
IBM Netezza Performance Server features and usability ratings that predict user satisfaction
8.8
Ease of Use
Average: 8.8
8.9
Data Governance
Average: 8.4
9.0
Data Security
Average: 8.8
8.5
Scalability
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,950 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency tran

    Users
    • Senior Software Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Banking
    Market Segment
    • 66% Enterprise
    • 21% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM Db2 Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    12
    Reliability
    11
    Security
    10
    Scalability
    9
    Ease of Use
    8
    Cons
    Learning Curve
    4
    Complex Setup
    3
    Expensive
    3
    Feature Limitations
    3
    UX Improvement
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Db2 features and usability ratings that predict user satisfaction
    8.0
    Ease of Use
    Average: 8.8
    8.7
    Data Governance
    Average: 8.4
    9.0
    Data Security
    Average: 8.8
    8.6
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,950 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

Built to run the world’s mission-critical workloads. Designed by the world’s leading database experts, IBM Db2 empowers developers, enterprise architects, and data engineers to run low-latency tran

Users
  • Senior Software Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Banking
Market Segment
  • 66% Enterprise
  • 21% Mid-Market
IBM Db2 Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
12
Reliability
11
Security
10
Scalability
9
Ease of Use
8
Cons
Learning Curve
4
Complex Setup
3
Expensive
3
Feature Limitations
3
UX Improvement
3
IBM Db2 features and usability ratings that predict user satisfaction
8.0
Ease of Use
Average: 8.8
8.7
Data Governance
Average: 8.4
9.0
Data Security
Average: 8.8
8.6
Scalability
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,950 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(82)4.5 out of 5
15th Easiest To Use in Data Warehouse software
View top Consulting Services for SQL Server 2019
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 37% Mid-Market
    • 35% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SQL Server 2019 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
    Easy Integrations
    1
    SQL Support
    1
    Cons
    Difficult Setup
    1
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SQL Server 2019 features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.8
    8.5
    Data Governance
    Average: 8.4
    9.0
    Data Security
    Average: 8.8
    8.8
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,090,087 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Parallel Data Warehouse offers scalability to hundreds of terabytes and high performance through a massively parallel processing architecture.

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 37% Mid-Market
  • 35% Enterprise
SQL Server 2019 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
Easy Integrations
1
SQL Support
1
Cons
Difficult Setup
1
Expensive
1
SQL Server 2019 features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.8
8.5
Data Governance
Average: 8.4
9.0
Data Security
Average: 8.8
8.8
Scalability
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,090,087 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
(216)4.3 out of 5
14th Easiest To Use in Data Warehouse 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
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenText Vertica features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.8
    8.3
    Data Governance
    Average: 8.4
    8.5
    Data Security
    Average: 8.8
    8.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,629 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    23,200 employees on LinkedIn®
    Ownership
    NASDAQ:OTEX
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Senior Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Enterprise
  • 39% Mid-Market
OpenText Vertica features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.8
8.3
Data Governance
Average: 8.4
8.5
Data Security
Average: 8.8
8.3
Scalability
Average: 8.5
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,629 Twitter followers
LinkedIn® Page
www.linkedin.com
23,200 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(97)4.6 out of 5
7th Easiest To Use in Data Warehouse software
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Rubrik is a cybersecurity company with a mission to secure the world’s data. Rubrik pioneered Zero Trust Data SecurityTM to help organizations achieve business resilience against cyberattacks, malicio

    Users
    No information available
    Industries
    • Information Technology and Services
    • Higher Education
    Market Segment
    • 52% Enterprise
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Rubrik 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
    33
    Backup Solutions
    20
    Features
    19
    Reliability
    19
    User Interface
    17
    Cons
    Expensive
    11
    Limited Features
    7
    Backup Problems
    6
    Complexity
    6
    Cost Management
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rubrik features and usability ratings that predict user satisfaction
    9.4
    Ease of Use
    Average: 8.8
    9.0
    Data Governance
    Average: 8.4
    9.2
    Data Security
    Average: 8.8
    9.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Rubrik
    Year Founded
    2014
    HQ Location
    Palo Alto, California
    Twitter
    @rubrikInc
    43,525 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,671 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Rubrik is a cybersecurity company with a mission to secure the world’s data. Rubrik pioneered Zero Trust Data SecurityTM to help organizations achieve business resilience against cyberattacks, malicio

Users
No information available
Industries
  • Information Technology and Services
  • Higher Education
Market Segment
  • 52% Enterprise
  • 36% Mid-Market
Rubrik 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
33
Backup Solutions
20
Features
19
Reliability
19
User Interface
17
Cons
Expensive
11
Limited Features
7
Backup Problems
6
Complexity
6
Cost Management
5
Rubrik features and usability ratings that predict user satisfaction
9.4
Ease of Use
Average: 8.8
9.0
Data Governance
Average: 8.4
9.2
Data Security
Average: 8.8
9.3
Scalability
Average: 8.5
Seller Details
Seller
Rubrik
Year Founded
2014
HQ Location
Palo Alto, California
Twitter
@rubrikInc
43,525 Twitter followers
LinkedIn® Page
www.linkedin.com
4,671 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Advanced analytics meets traditional business intelligence with VMware Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open sou

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 32% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VMware Greenplum features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.8
    9.3
    Data Governance
    Average: 8.4
    9.3
    Data Security
    Average: 8.8
    8.7
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Broadcom
    Year Founded
    1991
    HQ Location
    San Jose, CA
    Twitter
    @broadcom
    61,734 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    56,584 employees on LinkedIn®
    Ownership
    NASDAQ: CA
Product Description
How are these determined?Information
This description is provided by the seller.

Advanced analytics meets traditional business intelligence with VMware Greenplum, the world’s first fully-featured, multi-cloud, massively parallel processing (MPP) data platform based on the open sou

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Enterprise
  • 32% Mid-Market
VMware Greenplum features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.8
9.3
Data Governance
Average: 8.4
9.3
Data Security
Average: 8.8
8.7
Scalability
Average: 8.5
Seller Details
Seller
Broadcom
Year Founded
1991
HQ Location
San Jose, CA
Twitter
@broadcom
61,734 Twitter followers
LinkedIn® Page
www.linkedin.com
56,584 employees on LinkedIn®
Ownership
NASDAQ: CA
(44)4.4 out of 5
View top Consulting Services for Oracle Exadata Cloud Service
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Offer a fast, reliable, and cost-effective platform for data warehousing and business intelligence that is easy to scale to meet the complex reporting.

    Users
    No information available
    Industries
    • Banking
    • Government Administration
    Market Segment
    • 73% Enterprise
    • 23% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Exadata Cloud Service features and usability ratings that predict user satisfaction
    7.7
    Ease of Use
    Average: 8.8
    9.0
    Data Governance
    Average: 8.4
    9.0
    Data Security
    Average: 8.8
    9.2
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    820,945 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    197,850 employees on LinkedIn®
    Ownership
    NYSE:ORCL
Product Description
How are these determined?Information
This description is provided by the seller.

Offer a fast, reliable, and cost-effective platform for data warehousing and business intelligence that is easy to scale to meet the complex reporting.

Users
No information available
Industries
  • Banking
  • Government Administration
Market Segment
  • 73% Enterprise
  • 23% Mid-Market
Oracle Exadata Cloud Service features and usability ratings that predict user satisfaction
7.7
Ease of Use
Average: 8.8
9.0
Data Governance
Average: 8.4
9.0
Data Security
Average: 8.8
9.2
Scalability
Average: 8.5
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
820,945 Twitter followers
LinkedIn® Page
www.linkedin.com
197,850 employees on LinkedIn®
Ownership
NYSE:ORCL
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projec

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 96% Enterprise
    • 26% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM InfoSphere Information Server features and usability ratings that predict user satisfaction
    7.2
    Ease of Use
    Average: 8.8
    8.3
    Data Governance
    Average: 8.4
    8.3
    Data Security
    Average: 8.8
    8.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,950 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projec

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 96% Enterprise
  • 26% Mid-Market
IBM InfoSphere Information Server features and usability ratings that predict user satisfaction
7.2
Ease of Use
Average: 8.8
8.3
Data Governance
Average: 8.4
8.3
Data Security
Average: 8.8
8.3
Scalability
Average: 8.5
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,950 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
Ownership
SWX:IBM
(45)4.3 out of 5
13th Easiest To Use in Data Warehouse software
View top Consulting Services for Zap Data Hub
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Zap Data Hub is a data warehouse automation solution that streamlines the extraction, loading and transformation (ELT) of ERP and business data into a centralized, governed warehouse for reporting and

    Users
    No information available
    Industries
    • Oil & Energy
    • Computer Software
    Market Segment
    • 60% Mid-Market
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Zap Data Hub Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    8
    Integrations
    8
    Customer Support
    6
    Reporting
    6
    Analytics
    5
    Cons
    Learning Curve
    3
    Steep Learning Curve
    2
    Complexity
    1
    Complex Usability
    1
    Dashboard Usability
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zap Data Hub features and usability ratings that predict user satisfaction
    8.0
    Ease of Use
    Average: 8.8
    7.6
    Data Governance
    Average: 8.4
    7.7
    Data Security
    Average: 8.8
    8.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ZAP
    Year Founded
    2001
    HQ Location
    Brisbane, Australia
    Twitter
    @ZAP_Data
    1,571 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    94 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Zap Data Hub is a data warehouse automation solution that streamlines the extraction, loading and transformation (ELT) of ERP and business data into a centralized, governed warehouse for reporting and

Users
No information available
Industries
  • Oil & Energy
  • Computer Software
Market Segment
  • 60% Mid-Market
  • 29% Enterprise
Zap Data Hub Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
8
Integrations
8
Customer Support
6
Reporting
6
Analytics
5
Cons
Learning Curve
3
Steep Learning Curve
2
Complexity
1
Complex Usability
1
Dashboard Usability
1
Zap Data Hub features and usability ratings that predict user satisfaction
8.0
Ease of Use
Average: 8.8
7.6
Data Governance
Average: 8.4
7.7
Data Security
Average: 8.8
8.3
Scalability
Average: 8.5
Seller Details
Seller
ZAP
Year Founded
2001
HQ Location
Brisbane, Australia
Twitter
@ZAP_Data
1,571 Twitter followers
LinkedIn® Page
www.linkedin.com
94 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Panoply makes it easy to sync, store, and access your data from any data source. Panoply’s easy-to-use, low-maintenance solution unlocks sophisticated analytics without complex data engineering and co

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Small-Business
    • 43% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Panoply features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.8
    7.8
    Data Governance
    Average: 8.4
    8.7
    Data Security
    Average: 8.8
    8.1
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Panoply
    Company Website
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @panoplyio
    5,551 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.

Panoply makes it easy to sync, store, and access your data from any data source. Panoply’s easy-to-use, low-maintenance solution unlocks sophisticated analytics without complex data engineering and co

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Small-Business
  • 43% Mid-Market
Panoply features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.8
7.8
Data Governance
Average: 8.4
8.7
Data Security
Average: 8.8
8.1
Scalability
Average: 8.5
Seller Details
Seller
Panoply
Company Website
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@panoplyio
5,551 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®

Frequently asked questions about Data Warehouse Solutions

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