Best Data Warehouse Solutions for Small Business

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, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small 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 Small Business Data Warehouse category.

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

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Best Data Warehouse Solutions At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
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Best for Enterprise:
Highest User Satisfaction:
Best Free Software:

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 Small Business Data Warehouse Available

(1,223)4.5 out of 5
3rd Easiest To Use in Data Warehouse software
View top Consulting Services for Google Cloud BigQuery
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 37% Enterprise
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigQuery Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    156
    Speed
    143
    Fast Querying
    120
    Integrations
    118
    Query Efficiency
    114
    Cons
    Expensive
    127
    Query Issues
    78
    Cost Issues
    63
    Cost Management
    60
    Learning Curve
    54
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigQuery features and usability ratings that predict user satisfaction
    8.7
    Ease of Use
    Average: 8.7
    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
    31,755,640 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 37% Enterprise
  • 35% Mid-Market
Google Cloud BigQuery Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
156
Speed
143
Fast Querying
120
Integrations
118
Query Efficiency
114
Cons
Expensive
127
Query Issues
78
Cost Issues
63
Cost Management
60
Learning Curve
54
Google Cloud BigQuery features and usability ratings that predict user satisfaction
8.7
Ease of Use
Average: 8.7
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
31,755,640 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
(149)4.4 out of 5
Optimized for quick response
10th Easiest To Use in Data Warehouse software
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Software Engineer
    • CEO
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 34% Small-Business
    • 34% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM watsonx.data Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    67
    Features
    47
    Data Management
    41
    Integrations
    33
    Analytics
    31
    Cons
    Learning Curve
    38
    Complexity
    25
    Expensive
    20
    Difficult Setup
    17
    Difficulty
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM watsonx.data features and usability ratings that predict user satisfaction
    8.2
    Ease of Use
    Average: 8.7
    9.2
    Data Governance
    Average: 8.4
    9.4
    Data Security
    Average: 8.8
    8.6
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Company Website
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    708,798 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    339,241 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Software Engineer
  • CEO
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 34% Small-Business
  • 34% Enterprise
IBM watsonx.data Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
67
Features
47
Data Management
41
Integrations
33
Analytics
31
Cons
Learning Curve
38
Complexity
25
Expensive
20
Difficult Setup
17
Difficulty
17
IBM watsonx.data features and usability ratings that predict user satisfaction
8.2
Ease of Use
Average: 8.7
9.2
Data Governance
Average: 8.4
9.4
Data Security
Average: 8.8
8.6
Scalability
Average: 8.5
Seller Details
Seller
IBM
Company Website
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
708,798 Twitter followers
LinkedIn® Page
www.linkedin.com
339,241 employees on LinkedIn®
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(685)4.6 out of 5
Optimized for quick response
1st Easiest To Use in Data Warehouse software
View top Consulting Services for Snowflake
Entry Level Price:$2 Compute/Hour
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Enterprise
    • 42% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Snowflake Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    89
    Scalability
    68
    Data Management
    67
    Features
    66
    Integrations
    61
    Cons
    Expensive
    53
    Cost
    36
    Cost Management
    32
    Learning Curve
    25
    Feature Limitations
    21
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Snowflake features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.7
    8.9
    Data Governance
    Average: 8.4
    9.1
    Data Security
    Average: 8.8
    9.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2012
    HQ Location
    San Mateo, CA
    Twitter
    @SnowflakeDB
    218 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    10,857 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Enterprise
  • 42% Mid-Market
Snowflake Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
89
Scalability
68
Data Management
67
Features
66
Integrations
61
Cons
Expensive
53
Cost
36
Cost Management
32
Learning Curve
25
Feature Limitations
21
Snowflake features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.7
8.9
Data Governance
Average: 8.4
9.1
Data Security
Average: 8.8
9.3
Scalability
Average: 8.5
Seller Details
Company Website
Year Founded
2012
HQ Location
San Mateo, CA
Twitter
@SnowflakeDB
218 Twitter followers
LinkedIn® Page
www.linkedin.com
10,857 employees on LinkedIn®
(660)4.6 out of 5
Optimized for quick response
4th Easiest To Use in Data Warehouse software
View top Consulting Services for Databricks
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Data Analyst
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 46% Enterprise
    • 37% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Databricks Data Intelligence Platform is a unified data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
    • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
    • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Databricks Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Features
    288
    Ease of Use
    278
    Integrations
    189
    Collaboration
    150
    Data Management
    150
    Cons
    Learning Curve
    112
    Expensive
    97
    Steep Learning Curve
    96
    Missing Features
    69
    Complexity
    64
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Databricks features and usability ratings that predict user satisfaction
    8.9
    Ease of Use
    Average: 8.7
    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
    88,028 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    13,825 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Data Analyst
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 46% Enterprise
  • 37% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Databricks Data Intelligence Platform is a unified data engineering platform for lakehouse architecture with cloud integration, designed to accommodate business and official data for detailed analytics and future growth planning.
  • Users frequently mention the platform's data governance capabilities, its support for machine learning applications, and its helpful autofilling features, as well as its seamless integration with other tools like Power BI for reporting.
  • Users mentioned challenges such as the complexity of fine-tuning the platform to specific business use cases, the need for a team of professionals to handle large data, and the financial investment involved in using the platform.
Databricks Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Features
288
Ease of Use
278
Integrations
189
Collaboration
150
Data Management
150
Cons
Learning Curve
112
Expensive
97
Steep Learning Curve
96
Missing Features
69
Complexity
64
Databricks features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.7
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
88,028 Twitter followers
LinkedIn® Page
www.linkedin.com
13,825 employees on LinkedIn®
  • 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
    • Business Analyst
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 40% Enterprise
    • 37% 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
    43
    Easy Integrations
    33
    Data Management
    29
    Analytics
    22
    Collaboration
    21
    Cons
    Slow Performance
    25
    Expensive
    23
    Performance Issues
    23
    Integration Issues
    19
    Complex Setup
    17
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP Datasphere features and usability ratings that predict user satisfaction
    8.1
    Ease of Use
    Average: 8.7
    8.4
    Data Governance
    Average: 8.4
    8.7
    Data Security
    Average: 8.8
    8.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Company Website
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    297,319 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
  • Business Analyst
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 40% Enterprise
  • 37% 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
43
Easy Integrations
33
Data Management
29
Analytics
22
Collaboration
21
Cons
Slow Performance
25
Expensive
23
Performance Issues
23
Integration Issues
19
Complex Setup
17
SAP Datasphere features and usability ratings that predict user satisfaction
8.1
Ease of Use
Average: 8.7
8.4
Data Governance
Average: 8.4
8.7
Data Security
Average: 8.8
8.3
Scalability
Average: 8.5
Seller Details
Seller
SAP
Company Website
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
297,319 Twitter followers
LinkedIn® Page
www.linkedin.com
138,451 employees on LinkedIn®
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
    • 39% 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
    7
    Easy Integrations
    5
    Fast Querying
    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: 8.7
    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
    2,220,069 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
  • 39% 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
7
Easy Integrations
5
Fast Querying
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: 8.7
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
2,220,069 Twitter followers
LinkedIn® Page
www.linkedin.com
152,002 employees on LinkedIn®
Ownership
NASDAQ: AMZN
  • 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
    14
    Reliability
    13
    Scalability
    11
    Security
    11
    Ease of Use
    10
    Cons
    Complex Setup
    4
    Expensive
    4
    Learning Curve
    4
    Complexity
    3
    Difficult Setup
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM Db2 features and usability ratings that predict user satisfaction
    8.0
    Ease of Use
    Average: 8.7
    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
    708,798 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
14
Reliability
13
Scalability
11
Security
11
Ease of Use
10
Cons
Complex Setup
4
Expensive
4
Learning Curve
4
Complexity
3
Difficult Setup
3
IBM Db2 features and usability ratings that predict user satisfaction
8.0
Ease of Use
Average: 8.7
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
708,798 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.

    Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted de

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 85% Small-Business
    • 15% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tembo 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
    16
    Features
    12
    Integrations
    10
    Ease of Setup
    8
    Easy Integrations
    8
    Cons
    Limited Flexibility
    5
    AWS Dependency
    4
    Cloud Limitations
    4
    Expensive
    4
    Limited Customization
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tembo features and usability ratings that predict user satisfaction
    9.4
    Ease of Use
    Average: 8.7
    9.6
    Data Governance
    Average: 8.4
    9.6
    Data Security
    Average: 8.8
    9.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tembo
    Year Founded
    2022
    HQ Location
    Cincinnati, US
    Twitter
    @tembo_io
    1 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    31 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tembo is a multi-workload Postgres managed service that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads. With robust SaaS and self hosted de

Users
No information available
Industries
  • Computer Software
Market Segment
  • 85% Small-Business
  • 15% Mid-Market
Tembo 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
16
Features
12
Integrations
10
Ease of Setup
8
Easy Integrations
8
Cons
Limited Flexibility
5
AWS Dependency
4
Cloud Limitations
4
Expensive
4
Limited Customization
4
Tembo features and usability ratings that predict user satisfaction
9.4
Ease of Use
Average: 8.7
9.6
Data Governance
Average: 8.4
9.6
Data Security
Average: 8.8
9.3
Scalability
Average: 8.5
Seller Details
Seller
Tembo
Year Founded
2022
HQ Location
Cincinnati, US
Twitter
@tembo_io
1 Twitter followers
LinkedIn® Page
www.linkedin.com
31 employees on LinkedIn®
(34)5.0 out of 5
5th Easiest To Use in Data Warehouse software
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aden is the first self-evolving execution engine designed to move AI agents beyond static, brittle flowcharts. Instead of breaking when an API changes or a prompt is ambiguous, the system uses a "Quee

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 68% Small-Business
    • 18% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aden features and usability ratings that predict user satisfaction
    9.7
    Ease of Use
    Average: 8.7
    9.5
    Data Governance
    Average: 8.4
    9.3
    Data Security
    Average: 8.8
    9.4
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Acho
    Year Founded
    2020
    HQ Location
    Boston, MA
    Twitter
    @acho
    30 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    22 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Aden is the first self-evolving execution engine designed to move AI agents beyond static, brittle flowcharts. Instead of breaking when an API changes or a prompt is ambiguous, the system uses a "Quee

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 68% Small-Business
  • 18% Mid-Market
Aden features and usability ratings that predict user satisfaction
9.7
Ease of Use
Average: 8.7
9.5
Data Governance
Average: 8.4
9.3
Data Security
Average: 8.8
9.4
Scalability
Average: 8.5
Seller Details
Seller
Acho
Year Founded
2020
HQ Location
Boston, MA
Twitter
@acho
30 Twitter followers
LinkedIn® Page
www.linkedin.com
22 employees on LinkedIn®
  • 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: 8.7
    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
    21,600 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: 8.7
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
21,600 Twitter followers
LinkedIn® Page
www.linkedin.com
23,270 employees on LinkedIn®
Ownership
NASDAQ:OTEX
  • 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: 8.7
    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
    62,752 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    55,707 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: 8.7
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
62,752 Twitter followers
LinkedIn® Page
www.linkedin.com
55,707 employees on LinkedIn®
Ownership
NASDAQ: CA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 53% Small-Business
    • 47% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mozart Data features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.7
    8.2
    Data Governance
    Average: 8.4
    8.9
    Data Security
    Average: 8.8
    9.2
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    450 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Backed by award-winning data analyst support, Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Mozart Data’s all-in-one modern

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 53% Small-Business
  • 47% Mid-Market
Mozart Data features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.7
8.2
Data Governance
Average: 8.4
8.9
Data Security
Average: 8.8
9.2
Scalability
Average: 8.5
Seller Details
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
450 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
(83)4.5 out of 5
15th Easiest To Use in Data Warehouse software
View top Consulting Services for SQL Server 2019
  • 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
    SQL Support
    1
    Cons
    Expensive
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SQL Server 2019 features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.7
    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
    13,088,873 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
SQL Support
1
Cons
Expensive
1
SQL Server 2019 features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.7
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
13,088,873 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
(83)4.5 out of 5
14th Easiest To Use in Data Warehouse software
15% Off
  • 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
    • 47% 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: 8.7
    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
    5,519 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    16 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
  • 47% Small-Business
  • 43% Mid-Market
Panoply features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.7
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
5,519 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    • Data Engineer
    • Software Engineer
    Industries
    • Information Technology and Services
    • Financial Services
    Market Segment
    • 70% Enterprise
    • 21% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
    • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
    • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Teradata Vantage Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Performance
    16
    Speed
    13
    Analytics
    11
    Scalability
    11
    Large Datasets
    9
    Cons
    Learning Curve
    10
    Steep Learning Curve
    5
    Complexity
    4
    Not User-Friendly
    4
    Poor UI Design
    4
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Teradata Vantage features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.7
    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
    93,227 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    9,886 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
  • Data Engineer
  • Software Engineer
Industries
  • Information Technology and Services
  • Financial Services
Market Segment
  • 70% Enterprise
  • 21% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Teradata Vantage is a database solution that provides data analysis, SQL queries, and data integration capabilities.
  • Reviewers frequently mention the product's high performance, scalability, and efficient handling of complex SQL and analytic joins, as well as the responsiveness of the support team.
  • Users mentioned issues such as the complexity of the Teradata studio software, the need for cost optimisation, the requirement for specialised skills and training, and the high cost and steep learning curve of the product.
Teradata Vantage Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Performance
16
Speed
13
Analytics
11
Scalability
11
Large Datasets
9
Cons
Learning Curve
10
Steep Learning Curve
5
Complexity
4
Not User-Friendly
4
Poor UI Design
4
Teradata Vantage features and usability ratings that predict user satisfaction
8.3
Ease of Use
Average: 8.7
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
93,227 Twitter followers
LinkedIn® Page
www.linkedin.com
9,886 employees on LinkedIn®