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Best Data Warehouse Solutions - Page 2

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Data warehouse processes, transforms, and ingests data to fuel decision-making within an organization. Data warehouse solutions act as a singular central repository of integrated data from multiple disparate sources that provide business insights with the help of big data analytics software and data visualization software. Data within a data warehouse comes from all branches of a company, including sales, finance, and marketing, among others.

Data warehouses can combine data from CRM automation tools, marketing automation platforms, ERP and supply chain management suites, and more, to enable precise analytical reporting and intelligent decision-making. Businesses may also use predictive analytics and artificial intelligence (AI) tools to pull trends and patterns found in the data. A critical capability of a data warehouse includes its ability to integrate with third-party business Intelligence software, data lake, data science workflows and machine learning, and AI technology.

Data warehouses are used in a diverse set of industries, including banking, finance, healthcare, insurance, and retail. Deployment models of a data warehouse include on-premises, private cloud, public cloud, and hybrid cloud. A modern cloud data warehouse is capable of handling a massive amount of complex data, can instantly be scaled up or down based on the business needs, perform rapid advanced analytical queries, and contain limited infrastructure setup costs.

To qualify for inclusion in the Data Warehouse category, a product must:

Contain data from several or all branches of a company
Integrate data prior to going into the data warehouse through an extract, transform and load (ETL) process
Allow users to perform queries and analyze the data stored inside the data warehouse
Offer multiple deployment options
Integrate with third-party reporting and business intelligence tools
Serve as an archive for historical data
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Best Data Warehouse Solutions At A Glance

Highest Performer:
Easiest to Use:
Best Free Software:
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Easiest to Use:
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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120 Listings in Data Warehouse Available
(93)4.4 out of 5
Optimized for quick response
11th Easiest To Use in Data Warehouse software
View top Consulting Services for Starburst
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Starburst 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
    24
    Integrations
    22
    Ease of Use
    21
    Query Efficiency
    20
    Large Datasets
    19
    Cons
    Learning Curve
    16
    Query Issues
    14
    Slow Performance
    14
    Difficult Setup
    12
    Complexity
    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
    3,464 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
24
Integrations
22
Ease of Use
21
Query Efficiency
20
Large Datasets
19
Cons
Learning Curve
16
Query Issues
14
Slow Performance
14
Difficult Setup
12
Complexity
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
3,464 Twitter followers
LinkedIn® Page
www.linkedin.com
478 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Relational or NoSQL, structured or unstructured, Operational DB delivers insights at the speed of business.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 47% Small-Business
    • 32% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cloudera Operational DB features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.8
    9.1
    Data Governance
    Average: 8.4
    9.0
    Data Security
    Average: 8.8
    9.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cloudera
    Year Founded
    2008
    HQ Location
    Palo Alto, CA
    Twitter
    @cloudera
    106,839 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3,338 employees on LinkedIn®
    Phone
    888-789-1488
Product Description
How are these determined?Information
This description is provided by the seller.

Relational or NoSQL, structured or unstructured, Operational DB delivers insights at the speed of business.

Users
No information available
Industries
No information available
Market Segment
  • 47% Small-Business
  • 32% Mid-Market
Cloudera Operational DB features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.8
9.1
Data Governance
Average: 8.4
9.0
Data Security
Average: 8.8
9.3
Scalability
Average: 8.5
Seller Details
Seller
Cloudera
Year Founded
2008
HQ Location
Palo Alto, CA
Twitter
@cloudera
106,839 Twitter followers
LinkedIn® Page
www.linkedin.com
3,338 employees on LinkedIn®
Phone
888-789-1488

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  • Overview
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  • 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
    61,984 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
61,984 Twitter followers
LinkedIn® Page
www.linkedin.com
56,584 employees on LinkedIn®
Ownership
NASDAQ: CA
(34)5.0 out of 5
4th Easiest To Use in Data Warehouse software
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Aden is an AI-native, agentic ERP platform built for operations leaders to unify their business systems, streamline processes, and efficiently manage objectives. Highly customizable and rapidly deploy

    Users
    No information available
    Industries
    • Information Technology and Services
    Market Segment
    • 68% Small-Business
    • 18% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Aden 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
    1
    Easy Integrations
    1
    Integrations
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Aden features and usability ratings that predict user satisfaction
    9.7
    Ease of Use
    Average: 8.8
    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
    29 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.

Aden is an AI-native, agentic ERP platform built for operations leaders to unify their business systems, streamline processes, and efficiently manage objectives. Highly customizable and rapidly deploy

Users
No information available
Industries
  • Information Technology and Services
Market Segment
  • 68% Small-Business
  • 18% Mid-Market
Aden 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
1
Easy Integrations
1
Integrations
1
Cons
This product has not yet received any negative sentiments.
Aden features and usability ratings that predict user satisfaction
9.7
Ease of Use
Average: 8.8
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
29 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
(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
    821,178 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
821,178 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.

    Exasol is the world’s ​most powerful Analytics Engine, ​purpose-built to handle the most demanding data workloads at an unmatched price / performance ratio​. In-memory architecture Want to proce

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 53% Enterprise
    • 26% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • EXASOL 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
    2
    Query Efficiency
    2
    Analytics
    1
    Cost-Effective
    1
    Customer Support
    1
    Cons
    Complexity
    1
    Debugging Issues
    1
    Difficult Setup
    1
    Limited Visualization
    1
    Performance Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EXASOL features and usability ratings that predict user satisfaction
    9.2
    Ease of Use
    Average: 8.8
    9.6
    Data Governance
    Average: 8.4
    8.0
    Data Security
    Average: 8.8
    10.0
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EXASOL
    Year Founded
    2000
    HQ Location
    Nurnberg, Bayern
    LinkedIn® Page
    www.linkedin.com
    211 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Exasol is the world’s ​most powerful Analytics Engine, ​purpose-built to handle the most demanding data workloads at an unmatched price / performance ratio​. In-memory architecture Want to proce

Users
No information available
Industries
No information available
Market Segment
  • 53% Enterprise
  • 26% Mid-Market
EXASOL 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
2
Query Efficiency
2
Analytics
1
Cost-Effective
1
Customer Support
1
Cons
Complexity
1
Debugging Issues
1
Difficult Setup
1
Limited Visualization
1
Performance Issues
1
EXASOL features and usability ratings that predict user satisfaction
9.2
Ease of Use
Average: 8.8
9.6
Data Governance
Average: 8.4
8.0
Data Security
Average: 8.8
10.0
Scalability
Average: 8.5
Seller Details
Seller
EXASOL
Year Founded
2000
HQ Location
Nurnberg, Bayern
LinkedIn® Page
www.linkedin.com
211 employees on LinkedIn®
  • 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
    • Information Technology and Services
    • Financial 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
    708,845 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
  • Information Technology and Services
  • Financial 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
708,845 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.

    Firebolt's Cloud Data Warehouse delivers extreme speed and elasticity at any scale solving your impossible data challenges. Its unique technology combines the best of high performance database archite

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 29% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Firebolt Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Analytics
    2
    Ease of Access
    2
    Fast Querying
    2
    Cost-Effective
    1
    Customer Support
    1
    Cons
    Difficult Setup
    1
    Technical Difficulties
    1
    Update Issues
    1
    UX Improvement
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Firebolt features and usability ratings that predict user satisfaction
    8.6
    Ease of Use
    Average: 8.8
    8.3
    Data Governance
    Average: 8.4
    8.3
    Data Security
    Average: 8.8
    9.2
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    San Francisco, California 94111, US
    Twitter
    @FireboltHQ
    852 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    216 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Firebolt's Cloud Data Warehouse delivers extreme speed and elasticity at any scale solving your impossible data challenges. Its unique technology combines the best of high performance database archite

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 29% Enterprise
Firebolt Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Analytics
2
Ease of Access
2
Fast Querying
2
Cost-Effective
1
Customer Support
1
Cons
Difficult Setup
1
Technical Difficulties
1
Update Issues
1
UX Improvement
1
Firebolt features and usability ratings that predict user satisfaction
8.6
Ease of Use
Average: 8.8
8.3
Data Governance
Average: 8.4
8.3
Data Security
Average: 8.8
9.2
Scalability
Average: 8.5
Seller Details
Year Founded
2019
HQ Location
San Francisco, California 94111, US
Twitter
@FireboltHQ
852 Twitter followers
LinkedIn® Page
www.linkedin.com
216 employees on LinkedIn®
(46)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
    • 61% Mid-Market
    • 28% 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
    1,567 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    96 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
  • 61% Mid-Market
  • 28% 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
1,567 Twitter followers
LinkedIn® Page
www.linkedin.com
96 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 65% Mid-Market
    • 35% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CData Virtuality features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.8
    9.2
    Data Governance
    Average: 8.4
    10.0
    Data Security
    Average: 8.8
    9.2
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CData
    Year Founded
    2014
    HQ Location
    Chapel Hill, NC
    Twitter
    @cdatasoftware
    2,002 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    470 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CData Virtuality - Data Virtualization for Flexible Data Architectures By uniquely combining data virtualization and physical data replication, CData Virtuality provides data teams the flexibility to

Users
No information available
Industries
No information available
Market Segment
  • 65% Mid-Market
  • 35% Small-Business
CData Virtuality features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.8
9.2
Data Governance
Average: 8.4
10.0
Data Security
Average: 8.8
9.2
Scalability
Average: 8.5
Seller Details
Seller
CData
Year Founded
2014
HQ Location
Chapel Hill, NC
Twitter
@cdatasoftware
2,002 Twitter followers
LinkedIn® Page
www.linkedin.com
470 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
    5,539 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
  • 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
5,539 Twitter followers
LinkedIn® Page
www.linkedin.com
16 employees on LinkedIn®
(68)4.6 out of 5
Optimized for quick response
6th 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.

    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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Mozart 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
    2
    Easy Integrations
    2
    Setup Ease
    2
    Connectivity
    1
    Customer Support
    1
    Cons
    Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Mozart Data features and usability ratings that predict user satisfaction
    9.3
    Ease of Use
    Average: 8.8
    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
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    452 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    17 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 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
2
Easy Integrations
2
Setup Ease
2
Connectivity
1
Customer Support
1
Cons
Limitations
1
Mozart Data features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.8
8.2
Data Governance
Average: 8.4
8.9
Data Security
Average: 8.8
9.2
Scalability
Average: 8.5
Seller Details
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
452 Twitter followers
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
Entry Level Price:$0.05
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Yellowbrick is a high-performance, cloud-native data platform designed for hybrid multi-cloud and on-premises environments. It supports a wide variety of workloads, including traditional data warehous

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 71% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Yellowbrick 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
    2
    Reliability
    2
    Analytics
    1
    Availability
    1
    Big Data Management
    1
    Cons
    Cloud Dependency
    1
    Difficult Setup
    1
    High Hardware Requirements
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Yellowbrick features and usability ratings that predict user satisfaction
    9.4
    Ease of Use
    Average: 8.8
    9.4
    Data Governance
    Average: 8.4
    9.4
    Data Security
    Average: 8.8
    8.3
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Mountain View, US
    Twitter
    @YellowbrickData
    6,907 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    118 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Yellowbrick is a high-performance, cloud-native data platform designed for hybrid multi-cloud and on-premises environments. It supports a wide variety of workloads, including traditional data warehous

Users
No information available
Industries
No information available
Market Segment
  • 71% Enterprise
  • 29% Mid-Market
Yellowbrick 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
2
Reliability
2
Analytics
1
Availability
1
Big Data Management
1
Cons
Cloud Dependency
1
Difficult Setup
1
High Hardware Requirements
1
Yellowbrick features and usability ratings that predict user satisfaction
9.4
Ease of Use
Average: 8.8
9.4
Data Governance
Average: 8.4
9.4
Data Security
Average: 8.8
8.3
Scalability
Average: 8.5
Seller Details
Year Founded
2014
HQ Location
Mountain View, US
Twitter
@YellowbrickData
6,907 Twitter followers
LinkedIn® Page
www.linkedin.com
118 employees on LinkedIn®
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    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
    17
    Features
    12
    Integrations
    10
    Data Storage
    8
    Ease of Setup
    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: 8.8
    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
17
Features
12
Integrations
10
Data Storage
8
Ease of Setup
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: 8.8
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®
Entry Level Price:Free 2
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Your ultimate next-gen agile, data delivery platform with modern cloud data warehouse & lake. Create and manage all of your data workloads on one platform. Boost the productivity of your data prof

    Users
    • Data Architect
    • Data Analyst
    Industries
    • Information Technology and Services
    • Health, Wellness and Fitness
    Market Segment
    • 84% Mid-Market
    • 11% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • lyftrondata features and usability ratings that predict user satisfaction
    9.9
    Ease of Use
    Average: 8.8
    10.0
    Data Governance
    Average: 8.4
    10.0
    Data Security
    Average: 8.8
    10.0
    Scalability
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Lyftron
    Year Founded
    2019
    HQ Location
    Reston, Virginia
    Twitter
    @lyftron
    22 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    66 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Your ultimate next-gen agile, data delivery platform with modern cloud data warehouse & lake. Create and manage all of your data workloads on one platform. Boost the productivity of your data prof

Users
  • Data Architect
  • Data Analyst
Industries
  • Information Technology and Services
  • Health, Wellness and Fitness
Market Segment
  • 84% Mid-Market
  • 11% Small-Business
lyftrondata features and usability ratings that predict user satisfaction
9.9
Ease of Use
Average: 8.8
10.0
Data Governance
Average: 8.4
10.0
Data Security
Average: 8.8
10.0
Scalability
Average: 8.5
Seller Details
Seller
Lyftron
Year Founded
2019
HQ Location
Reston, Virginia
Twitter
@lyftron
22 Twitter followers
LinkedIn® Page
www.linkedin.com
66 employees on LinkedIn®

Frequently asked questions about Data Warehouse Solutions

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