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

Best Data Warehouse Solutions At A Glance

Best for Small Businesses:
Best for Mid-Market:
Best for Enterprise:
Highest User Satisfaction:
Best Free Software:
Show LessShow More
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.

No filters applied
111 Listings in Data Warehouse Available
By Acho
(34)5.0 out of 5
2nd 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, multi-agent ERP platform built for operations leaders to unify their business systems, streamline processes, and efficiently manage objectives. Highly customizable and rapidly de

    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
    8
    Customer Support
    4
    Easy Integrations
    4
    Features
    3
    Analytics
    2
    Cons
    Difficult Setup
    1
    Integration Issues
    1
    Poor User Interface
    1
  • 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: 8.5
    9.3
    Data Security
    Average: 8.7
    9.4
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Acho
    Year Founded
    2020
    HQ Location
    Boston, MA
    Twitter
    @acho
    38 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.

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

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
8
Customer Support
4
Easy Integrations
4
Features
3
Analytics
2
Cons
Difficult Setup
1
Integration Issues
1
Poor User Interface
1
Aden features and usability ratings that predict user satisfaction
9.7
Ease of Use
Average: 8.7
9.5
Data Governance
Average: 8.5
9.3
Data Security
Average: 8.7
9.4
Scalability
Average: 8.6
Seller Details
Seller
Acho
Year Founded
2020
HQ Location
Boston, MA
Twitter
@acho
38 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.

    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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • IBM InfoSphere Information 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
    Data Management
    2
    Big Data Management
    1
    Customer Support
    1
    Data Analysis
    1
    Data Integration
    1
    Cons
    Expensive
    2
    Complexity
    1
    Complex Setup
    1
    Difficult Setup
    1
    Expertise Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • IBM InfoSphere Information Server features and usability ratings that predict user satisfaction
    7.2
    Ease of Use
    Average: 8.7
    8.3
    Data Governance
    Average: 8.5
    8.3
    Data Security
    Average: 8.7
    8.3
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    IBM
    Year Founded
    1911
    HQ Location
    Armonk, NY
    Twitter
    @IBM
    711,096 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    317,108 employees on LinkedIn®
    Ownership
    SWX:IBM
Product Description
How are these determined?Information
This description is provided by the seller.

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 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 Management
2
Big Data Management
1
Customer Support
1
Data Analysis
1
Data Integration
1
Cons
Expensive
2
Complexity
1
Complex Setup
1
Difficult Setup
1
Expertise Required
1
IBM InfoSphere Information Server features and usability ratings that predict user satisfaction
7.2
Ease of Use
Average: 8.7
8.3
Data Governance
Average: 8.5
8.3
Data Security
Average: 8.7
8.3
Scalability
Average: 8.6
Seller Details
Seller
IBM
Year Founded
1911
HQ Location
Armonk, NY
Twitter
@IBM
711,096 Twitter followers
LinkedIn® Page
www.linkedin.com
317,108 employees on LinkedIn®
Ownership
SWX:IBM

This is how G2 Deals can help you:

  • Easily shop for curated – and trusted – software
  • Own your own software buying journey
  • Discover exclusive deals on software
(60)4.2 out of 5
15th 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.

    Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers

    Users
    • Data Engineer
    Industries
    • Computer Software
    • Internet
    Market Segment
    • 55% Enterprise
    • 35% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hive 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
    1
    Collaboration
    1
    Ease of Use
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hive features and usability ratings that predict user satisfaction
    8.4
    Ease of Use
    Average: 8.7
    9.0
    Data Governance
    Average: 8.5
    8.8
    Data Security
    Average: 8.7
    7.9
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,228 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers

Users
  • Data Engineer
Industries
  • Computer Software
  • Internet
Market Segment
  • 55% Enterprise
  • 35% Mid-Market
Hive 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
1
Collaboration
1
Ease of Use
1
Cons
This product has not yet received any negative sentiments.
Hive features and usability ratings that predict user satisfaction
8.4
Ease of Use
Average: 8.7
9.0
Data Governance
Average: 8.5
8.8
Data Security
Average: 8.7
7.9
Scalability
Average: 8.6
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,228 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®
(82)4.5 out of 5
13th Easiest To Use in Data Warehouse software
Save to My Lists
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
    • 48% Small-Business
    • 43% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Panoply Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    10
    Ease of Use
    8
    Connectors Quantity
    4
    Data Integration
    4
    Easy Integrations
    3
    Cons
    Data Import
    2
    Data Management
    2
    Limited Connectors
    2
    Expertise Required
    1
    Integration Issues
    1
  • 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: 8.5
    8.7
    Data Security
    Average: 8.7
    8.1
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Panoply
    Company Website
    Year Founded
    2015
    HQ Location
    San Francisco, CA
    Twitter
    @panoplyio
    5,680 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

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

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 48% Small-Business
  • 43% Mid-Market
Panoply Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
10
Ease of Use
8
Connectors Quantity
4
Data Integration
4
Easy Integrations
3
Cons
Data Import
2
Data Management
2
Limited Connectors
2
Expertise Required
1
Integration Issues
1
Panoply features and usability ratings that predict user satisfaction
8.9
Ease of Use
Average: 8.7
7.8
Data Governance
Average: 8.5
8.7
Data Security
Average: 8.7
8.1
Scalability
Average: 8.6
Seller Details
Seller
Panoply
Company Website
Year Founded
2015
HQ Location
San Francisco, CA
Twitter
@panoplyio
5,680 Twitter followers
LinkedIn® Page
www.linkedin.com
18 employees on LinkedIn®
(68)4.6 out of 5
Optimized for quick response
4th 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
    11
    Setup Ease
    7
    Customer Support
    6
    Easy Setup
    6
    Easy Integrations
    4
    Cons
    Learning Curve
    2
    SQL Knowledge Requirement
    2
    SQL Limitations
    2
    Confusing Changes
    1
    Confusing Usability
    1
  • 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: 8.5
    8.9
    Data Security
    Average: 8.7
    9.2
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2020
    HQ Location
    San Francisco, US
    Twitter
    @MozartData
    435 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    19 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
11
Setup Ease
7
Customer Support
6
Easy Setup
6
Easy Integrations
4
Cons
Learning Curve
2
SQL Knowledge Requirement
2
SQL Limitations
2
Confusing Changes
1
Confusing Usability
1
Mozart Data features and usability ratings that predict user satisfaction
9.3
Ease of Use
Average: 8.7
8.2
Data Governance
Average: 8.5
8.9
Data Security
Average: 8.7
9.2
Scalability
Average: 8.6
Seller Details
Company Website
Year Founded
2020
HQ Location
San Francisco, US
Twitter
@MozartData
435 Twitter followers
LinkedIn® Page
www.linkedin.com
19 employees on LinkedIn®
(44)4.4 out of 5
View top Consulting Services for Oracle Exadata Cloud Service
Save to My Lists
  • 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
    • 70% Enterprise
    • 23% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Oracle Exadata Cloud Service 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
    Deployment Flexibility
    1
    Ease of Management
    1
    Ease of Use
    1
    Cons
    Expertise Required
    1
    High Complexity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Oracle Exadata Cloud Service features and usability ratings that predict user satisfaction
    7.7
    Ease of Use
    Average: 8.7
    9.0
    Data Governance
    Average: 8.5
    9.0
    Data Security
    Average: 8.7
    9.2
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Oracle
    Year Founded
    1977
    HQ Location
    Austin, TX
    Twitter
    @Oracle
    824,405 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    199,405 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
  • 70% Enterprise
  • 23% Mid-Market
Oracle Exadata Cloud Service 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
Deployment Flexibility
1
Ease of Management
1
Ease of Use
1
Cons
Expertise Required
1
High Complexity
1
Oracle Exadata Cloud Service features and usability ratings that predict user satisfaction
7.7
Ease of Use
Average: 8.7
9.0
Data Governance
Average: 8.5
9.0
Data Security
Average: 8.7
9.2
Scalability
Average: 8.6
Seller Details
Seller
Oracle
Year Founded
1977
HQ Location
Austin, TX
Twitter
@Oracle
824,405 Twitter followers
LinkedIn® Page
www.linkedin.com
199,405 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 fastest analytics database, as measured by the independent Transaction Processing Council (TPC). The world's most ambitious organizations trust Exasol due to three unique technic

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 56% Enterprise
    • 31% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EXASOL features and usability ratings that predict user satisfaction
    9.2
    Ease of Use
    Average: 8.7
    10.0
    Data Governance
    Average: 8.5
    7.2
    Data Security
    Average: 8.7
    10.0
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    EXASOL
    Year Founded
    2000
    HQ Location
    Nurnberg, Bayern
    LinkedIn® Page
    www.linkedin.com
    197 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Exasol is the world's fastest analytics database, as measured by the independent Transaction Processing Council (TPC). The world's most ambitious organizations trust Exasol due to three unique technic

Users
No information available
Industries
No information available
Market Segment
  • 56% Enterprise
  • 31% Mid-Market
EXASOL features and usability ratings that predict user satisfaction
9.2
Ease of Use
Average: 8.7
10.0
Data Governance
Average: 8.5
7.2
Data Security
Average: 8.7
10.0
Scalability
Average: 8.6
Seller Details
Seller
EXASOL
Year Founded
2000
HQ Location
Nurnberg, Bayern
LinkedIn® Page
www.linkedin.com
197 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

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

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 48% Enterprise
    • 32% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • VMware Greenplum features and usability ratings that predict user satisfaction
    8.3
    Ease of Use
    Average: 8.7
    9.3
    Data Governance
    Average: 8.5
    9.3
    Data Security
    Average: 8.7
    8.7
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Broadcom
    Year Founded
    1991
    HQ Location
    San Jose, CA
    Twitter
    @broadcom
    59,338 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    61,034 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: 8.5
9.3
Data Security
Average: 8.7
8.7
Scalability
Average: 8.6
Seller Details
Seller
Broadcom
Year Founded
1991
HQ Location
San Jose, CA
Twitter
@broadcom
59,338 Twitter followers
LinkedIn® Page
www.linkedin.com
61,034 employees on LinkedIn®
Ownership
NASDAQ: CA
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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • lyftrondata 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
    Data Handling
    10
    Cost-Effective
    9
    Data Management
    8
    Easy Integrations
    5
    Cons
    Pricing Issues
    6
    Expensive
    5
    Poor Customer Support
    2
    Poor Interface Design
    2
    Poor User Interface
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • lyftrondata features and usability ratings that predict user satisfaction
    9.9
    Ease of Use
    Average: 8.7
    10.0
    Data Governance
    Average: 8.5
    10.0
    Data Security
    Average: 8.7
    10.0
    Scalability
    Average: 8.6
  • 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
    77 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 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
Data Handling
10
Cost-Effective
9
Data Management
8
Easy Integrations
5
Cons
Pricing Issues
6
Expensive
5
Poor Customer Support
2
Poor Interface Design
2
Poor User Interface
2
lyftrondata features and usability ratings that predict user satisfaction
9.9
Ease of Use
Average: 8.7
10.0
Data Governance
Average: 8.5
10.0
Data Security
Average: 8.7
10.0
Scalability
Average: 8.6
Seller Details
Seller
Lyftron
Year Founded
2019
HQ Location
Reston, Virginia
Twitter
@lyftron
22 Twitter followers
LinkedIn® Page
www.linkedin.com
77 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
    3
    Fast Processing
    2
    Query Speed
    2
    Reliability
    2
    Speed
    2
    Cons
    Cloud Dependency
    1
    Compatibility Issues
    1
    Difficult Learning
    1
    Difficult Setup
    1
    Expertise Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Yellowbrick features and usability ratings that predict user satisfaction
    9.4
    Ease of Use
    Average: 8.7
    9.4
    Data Governance
    Average: 8.5
    9.4
    Data Security
    Average: 8.7
    8.3
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2014
    HQ Location
    Mountain View, US
    Twitter
    @YellowbrickData
    7,028 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    121 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
3
Fast Processing
2
Query Speed
2
Reliability
2
Speed
2
Cons
Cloud Dependency
1
Compatibility Issues
1
Difficult Learning
1
Difficult Setup
1
Expertise Required
1
Yellowbrick features and usability ratings that predict user satisfaction
9.4
Ease of Use
Average: 8.7
9.4
Data Governance
Average: 8.5
9.4
Data Security
Average: 8.7
8.3
Scalability
Average: 8.6
Seller Details
Year Founded
2014
HQ Location
Mountain View, US
Twitter
@YellowbrickData
7,028 Twitter followers
LinkedIn® Page
www.linkedin.com
121 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
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Data Virtuality Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Support
    2
    Easy Setup
    2
    ETL Process
    2
    ETL Solutions
    2
    Setup Ease
    2
    Cons
    Bugs
    1
    Insufficient Guidance
    1
    Lack of Information
    1
    Poor Error Reporting
    1
    Software Bugs
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Data Virtuality features and usability ratings that predict user satisfaction
    9.0
    Ease of Use
    Average: 8.7
    9.2
    Data Governance
    Average: 8.5
    10.0
    Data Security
    Average: 8.7
    9.2
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CData
    Year Founded
    2014
    HQ Location
    Chapel Hill, NC
    Twitter
    @cdatasoftware
    1,971 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    419 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
Data Virtuality Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Support
2
Easy Setup
2
ETL Process
2
ETL Solutions
2
Setup Ease
2
Cons
Bugs
1
Insufficient Guidance
1
Lack of Information
1
Poor Error Reporting
1
Software Bugs
1
Data Virtuality features and usability ratings that predict user satisfaction
9.0
Ease of Use
Average: 8.7
9.2
Data Governance
Average: 8.5
10.0
Data Security
Average: 8.7
9.2
Scalability
Average: 8.6
Seller Details
Seller
CData
Year Founded
2014
HQ Location
Chapel Hill, NC
Twitter
@cdatasoftware
1,971 Twitter followers
LinkedIn® Page
www.linkedin.com
419 employees on LinkedIn®
By ZAP
(36)4.3 out of 5
View top Consulting Services for Zap Data Hub
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Zap Data Hub is the fastest way to deliver accurate, trusted financial and operational reporting in BI tools including Tableau and Power BI. We have optimized solutions for Microsoft Dynamics, the Sag

    Users
    No information available
    Industries
    • Oil & Energy
    • Computer Software
    Market Segment
    • 58% Mid-Market
    • 31% 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
    Integrations
    1
    Cons
    Poor UI
    1
    UX Design
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Zap Data Hub features and usability ratings that predict user satisfaction
    8.0
    Ease of Use
    Average: 8.7
    7.2
    Data Governance
    Average: 8.5
    5.6
    Data Security
    Average: 8.7
    8.3
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    ZAP
    Year Founded
    2001
    HQ Location
    Brisbane, Australia
    Twitter
    @ZAP_Data
    1,582 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    105 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Zap Data Hub is the fastest way to deliver accurate, trusted financial and operational reporting in BI tools including Tableau and Power BI. We have optimized solutions for Microsoft Dynamics, the Sag

Users
No information available
Industries
  • Oil & Energy
  • Computer Software
Market Segment
  • 58% Mid-Market
  • 31% 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
Integrations
1
Cons
Poor UI
1
UX Design
1
Zap Data Hub features and usability ratings that predict user satisfaction
8.0
Ease of Use
Average: 8.7
7.2
Data Governance
Average: 8.5
5.6
Data Security
Average: 8.7
8.3
Scalability
Average: 8.6
Seller Details
Seller
ZAP
Year Founded
2001
HQ Location
Brisbane, Australia
Twitter
@ZAP_Data
1,582 Twitter followers
LinkedIn® Page
www.linkedin.com
105 employees on LinkedIn®
By SAP
(19)4.0 out of 5
View top Consulting Services for SAP BW/4HANA
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    SAP BW/4HANA is a next-generation data warehouse solution. It is specifically designed to use the advanced in-memory capabilities of the SAP HANA platform. For example, SAP BW/HANA can integrate many

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 68% Enterprise
    • 16% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAP BW/4HANA 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 Handling
    1
    Fast Processing
    1
    Large Datasets
    1
    Performance
    1
    Security
    1
    Cons
    Expensive
    1
    High Complexity
    1
    Integration Issues
    1
    Performance Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAP BW/4HANA features and usability ratings that predict user satisfaction
    7.9
    Ease of Use
    Average: 8.7
    8.3
    Data Governance
    Average: 8.5
    8.3
    Data Security
    Average: 8.7
    10.0
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    SAP
    Year Founded
    1972
    HQ Location
    Walldorf
    Twitter
    @SAP
    301,811 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    125,049 employees on LinkedIn®
    Ownership
    NYSE:SAP
Product Description
How are these determined?Information
This description is provided by the seller.

SAP BW/4HANA is a next-generation data warehouse solution. It is specifically designed to use the advanced in-memory capabilities of the SAP HANA platform. For example, SAP BW/HANA can integrate many

Users
No information available
Industries
No information available
Market Segment
  • 68% Enterprise
  • 16% Mid-Market
SAP BW/4HANA 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 Handling
1
Fast Processing
1
Large Datasets
1
Performance
1
Security
1
Cons
Expensive
1
High Complexity
1
Integration Issues
1
Performance Issues
1
SAP BW/4HANA features and usability ratings that predict user satisfaction
7.9
Ease of Use
Average: 8.7
8.3
Data Governance
Average: 8.5
8.3
Data Security
Average: 8.7
10.0
Scalability
Average: 8.6
Seller Details
Seller
SAP
Year Founded
1972
HQ Location
Walldorf
Twitter
@SAP
301,811 Twitter followers
LinkedIn® Page
www.linkedin.com
125,049 employees on LinkedIn®
Ownership
NYSE:SAP
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Flume is a service designed to efficiently collect, aggregate, and move large amounts of log data.

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 41% Small-Business
    • 36% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Apache Flume 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
    Performance
    1
    Cons
    Expertise Required
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Apache Flume features and usability ratings that predict user satisfaction
    7.4
    Ease of Use
    Average: 8.7
    6.7
    Data Governance
    Average: 8.5
    7.5
    Data Security
    Average: 8.7
    6.7
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1999
    HQ Location
    Wakefield, MA
    Twitter
    @TheASF
    66,228 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    2,291 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Flume is a service designed to efficiently collect, aggregate, and move large amounts of log data.

Users
No information available
Industries
  • Computer Software
Market Segment
  • 41% Small-Business
  • 36% Mid-Market
Apache Flume 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
Performance
1
Cons
Expertise Required
1
Apache Flume features and usability ratings that predict user satisfaction
7.4
Ease of Use
Average: 8.7
6.7
Data Governance
Average: 8.5
7.5
Data Security
Average: 8.7
6.7
Scalability
Average: 8.6
Seller Details
Year Founded
1999
HQ Location
Wakefield, MA
Twitter
@TheASF
66,228 Twitter followers
LinkedIn® Page
www.linkedin.com
2,291 employees on LinkedIn®
  • 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
    • 33% 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
    Cost-Effective
    1
    Customer Support
    1
    Documentation
    1
    Fast Processing
    1
    Fast Querying
    1
    Cons
    High Maintenance Costs
    1
    Technical Difficulties
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Firebolt features and usability ratings that predict user satisfaction
    8.5
    Ease of Use
    Average: 8.7
    8.0
    Data Governance
    Average: 8.5
    8.1
    Data Security
    Average: 8.7
    9.2
    Scalability
    Average: 8.6
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    San Francisco, California 94111, US
    Twitter
    @FireboltHQ
    716 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    172 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
  • 33% 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
Cost-Effective
1
Customer Support
1
Documentation
1
Fast Processing
1
Fast Querying
1
Cons
High Maintenance Costs
1
Technical Difficulties
1
Firebolt features and usability ratings that predict user satisfaction
8.5
Ease of Use
Average: 8.7
8.0
Data Governance
Average: 8.5
8.1
Data Security
Average: 8.7
9.2
Scalability
Average: 8.6
Seller Details
Year Founded
2019
HQ Location
San Francisco, California 94111, US
Twitter
@FireboltHQ
716 Twitter followers
LinkedIn® Page
www.linkedin.com
172 employees on LinkedIn®