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Best Enterprise Data Warehouse Solutions

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

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

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

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

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20 Listings in Enterprise Data Warehouse Solutions Available

(1,203)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
    162
    Speed
    142
    Fast Querying
    121
    Integrations
    119
    Scalability
    116
    Cons
    Expensive
    129
    Query Issues
    74
    Cost Issues
    62
    Cost Management
    60
    Learning Curve
    55
  • 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
    9.1
    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
    31,586,146 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 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
162
Speed
142
Fast Querying
121
Integrations
119
Scalability
116
Cons
Expensive
129
Query Issues
74
Cost Issues
62
Cost Management
60
Learning Curve
55
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
9.1
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
31,586,146 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
(657)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 adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Data

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, and machine learning, designed to handle large data sets and manage security across multiple cloud environments.
    • Reviewers frequently mention the platform's ability to consolidate data engineering, analytics, and machine learning in one place, its support for multiple programming languages, and its seamless integration with major cloud providers.
    • Reviewers experienced challenges with the platform's steep learning curve, especially for those unfamiliar with Spark or distributed computing, and its cost structure which can become 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
    277
    Ease of Use
    267
    Integrations
    184
    Collaboration
    148
    Easy Integrations
    144
    Cons
    Learning Curve
    106
    Expensive
    94
    Steep Learning Curve
    91
    Missing Features
    63
    Complexity
    61
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
    8.9
    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
    2013
    HQ Location
    San Francisco, CA
    Twitter
    @databricks
    85,346 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified environment for data engineering, analytics, and machine learning, designed to handle large data sets and manage security across multiple cloud environments.
  • Reviewers frequently mention the platform's ability to consolidate data engineering, analytics, and machine learning in one place, its support for multiple programming languages, and its seamless integration with major cloud providers.
  • Reviewers experienced challenges with the platform's steep learning curve, especially for those unfamiliar with Spark or distributed computing, and its cost structure which can become 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
277
Ease of Use
267
Integrations
184
Collaboration
148
Easy Integrations
144
Cons
Learning Curve
106
Expensive
94
Steep Learning Curve
91
Missing Features
63
Complexity
61
Databricks Data Intelligence Platform features and usability ratings that predict user satisfaction
8.9
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
2013
HQ Location
San Francisco, CA
Twitter
@databricks
85,346 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®

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(678)4.6 out of 5
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
    93
    Features
    70
    Data Management
    67
    Scalability
    63
    Integrations
    61
    Cons
    Expensive
    53
    Cost
    33
    Cost Management
    29
    Learning Curve
    26
    Feature Limitations
    22
  • 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
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    168 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,207 employees on LinkedIn®
    Ownership
    NYSE:SNOW
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
93
Features
70
Data Management
67
Scalability
63
Integrations
61
Cons
Expensive
53
Cost
33
Cost Management
29
Learning Curve
26
Feature Limitations
22
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
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
168 Twitter followers
LinkedIn® Page
www.linkedin.com
10,207 employees on LinkedIn®
Ownership
NYSE:SNOW
(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
    14
    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
    93,470 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,925 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
14
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
93,470 Twitter followers
LinkedIn® Page
www.linkedin.com
9,925 employees on LinkedIn®
(110)4.3 out of 5
9th Easiest To Use in Data Warehouse software
View top Consulting Services for SAP Datasphere
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to delive

    Users
    No information available
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 41% Enterprise
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP Datasphere 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
    44
    Easy Integrations
    33
    Data Management
    29
    Analytics
    20
    Integration Support
    20
    Cons
    Expensive
    23
    Slow Performance
    21
    Integration Issues
    19
    Complex Setup
    18
    Performance Issues
    18
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Datasphere features and usability ratings that predict user satisfaction
    8.2
    Ease of Use
    Average: 8.8
    8.4
    Data Governance
    Average: 8.4
    8.7
    Data Security
    Average: 8.8
    8.4
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Company Website
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,344 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    138,451 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

SAP Datasphere is a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across all your data. It enables every data professional to delive

Users
No information available
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 41% Enterprise
  • 39% Mid-Market
SAP Datasphere 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
44
Easy Integrations
33
Data Management
29
Analytics
20
Integration Support
20
Cons
Expensive
23
Slow Performance
21
Integration Issues
19
Complex Setup
18
Performance Issues
18
SAP Datasphere features and usability ratings that predict user satisfaction
8.2
Ease of Use
Average: 8.8
8.4
Data Governance
Average: 8.4
8.7
Data Security
Average: 8.8
8.4
Scalability
Average: 8.5
Seller Details
Seller
SAP
Company Website
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,344 Twitter followers
LinkedIn® Page
www.linkedin.com
138,451 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
    Fast Querying
    5
    Large Datasets
    5
    Scalability
    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
    2,218,835 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    152,002 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

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
Fast Querying
5
Large Datasets
5
Scalability
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
2,218,835 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(84)4.1 out of 5
8th 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
    708,887 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
708,887 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
    708,887 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
708,887 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
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  • 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
    13,084,579 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    226,132 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

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
13,084,579 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
(24)4.9 out of 5
2nd 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.

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

    Users
    No information available
    Industries
    • Telecommunications
    Market Segment
    • 50% Enterprise
    • 33% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Ilum is a data platform that can run on-premise or in the cloud, providing a range of features for data analytics and transformation.
    • Reviewers like the flexibility of Ilum, its seamless integration with other tools, quick implementation, and the responsive customer support team.
    • Users experienced challenges with the initial setup, particularly for those without prior knowledge of Kubernetes, and some found the user interface to be minimalistic and lacking in customization options.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • ILUM Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    17
    Features
    17
    Integrations
    17
    Setup Ease
    16
    Easy Integrations
    15
    Cons
    Complex Setup
    9
    Difficult Setup
    9
    Learning Curve
    9
    UX Improvement
    8
    Complexity
    7
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • ILUM features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.8
    9.3
    Data Governance
    Average: 8.4
    9.2
    Data Security
    Average: 8.8
    9.5
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Ilum
    Company Website
    Year Founded
    2019
    HQ Location
    Santa Fe, US
    Twitter
    @IlumCloud
    19 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Telecommunications
Market Segment
  • 50% Enterprise
  • 33% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Ilum is a data platform that can run on-premise or in the cloud, providing a range of features for data analytics and transformation.
  • Reviewers like the flexibility of Ilum, its seamless integration with other tools, quick implementation, and the responsive customer support team.
  • Users experienced challenges with the initial setup, particularly for those without prior knowledge of Kubernetes, and some found the user interface to be minimalistic and lacking in customization options.
ILUM Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
17
Features
17
Integrations
17
Setup Ease
16
Easy Integrations
15
Cons
Complex Setup
9
Difficult Setup
9
Learning Curve
9
UX Improvement
8
Complexity
7
ILUM features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.8
9.3
Data Governance
Average: 8.4
9.2
Data Security
Average: 8.8
9.5
Scalability
Average: 8.5
Seller Details
Seller
Ilum
Company Website
Year Founded
2019
HQ Location
Santa Fe, US
Twitter
@IlumCloud
19 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
(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
    21,624 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    23,270 employees on LinkedIn®
    Ownership
    NASDAQ:OTEX
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Senior Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 44% Enterprise
  • 39% Mid-Market
OpenText Vertica features and usability ratings that predict user satisfaction
8.5
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
21,624 Twitter followers
LinkedIn® Page
www.linkedin.com
23,270 employees on LinkedIn®
Ownership
NASDAQ:OTEX
(93)4.4 out of 5
Optimized for quick response
11th 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.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 47% Enterprise
    • 31% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Starburst Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Fast Querying
    25
    Integrations
    23
    Ease of Use
    22
    Query Efficiency
    22
    Large Datasets
    20
    Cons
    Query Issues
    15
    Slow Performance
    15
    Learning Curve
    14
    Complexity
    11
    Difficult Setup
    11
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Starburst features and usability ratings that predict user satisfaction
    9.1
    Ease of Use
    Average: 8.8
    7.5
    Data Governance
    Average: 8.4
    8.4
    Data Security
    Average: 8.8
    9.0
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Starburst
    Company Website
    Year Founded
    2017
    HQ Location
    Boston, MA
    Twitter
    @starburstdata
    3,462 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    478 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 47% Enterprise
  • 31% Small-Business
Starburst Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Fast Querying
25
Integrations
23
Ease of Use
22
Query Efficiency
22
Large Datasets
20
Cons
Query Issues
15
Slow Performance
15
Learning Curve
14
Complexity
11
Difficult Setup
11
Starburst features and usability ratings that predict user satisfaction
9.1
Ease of Use
Average: 8.8
7.5
Data Governance
Average: 8.4
8.4
Data Security
Average: 8.8
9.0
Scalability
Average: 8.5
Seller Details
Seller
Starburst
Company Website
Year Founded
2017
HQ Location
Boston, MA
Twitter
@starburstdata
3,462 Twitter followers
LinkedIn® Page
www.linkedin.com
478 employees on LinkedIn®
(44)4.4 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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
    821,198 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    198,071 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
821,198 Twitter followers
LinkedIn® Page
www.linkedin.com
198,071 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
    708,887 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
708,887 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.

    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
    62,049 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
62,049 Twitter followers
LinkedIn® Page
www.linkedin.com
56,584 employees on LinkedIn®
Ownership
NASDAQ: CA