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Best Columnar Databases - Page 2

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi

Columnar databases store data by columns rather than by rows. The data storage format in these solutions makes them faster and more efficient for instant analytical queries. These databases are used mainly in data warehouses to handle and process massive volumes of data from multiple sources by serving as a basis for business intelligence tools. These databases support document creation, retrieval via query, updating and editing, and deletion of information. Columnar stores, because of their data storage format, help minimize resource usage related to queries on big data sets. Businesses interested in implementing a database for data warehousing and big data processing may opt for a columnar database.

There are other database types similar but slightly different than columnar databases software including object-oriented databases software, graph databases, key-value databases, and more.

To qualify for inclusion in the Columnar Databases category, a product must:

Provide data storage
Store data in columnar format
Allow users to retrieve data
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Best Columnar Databases At A Glance

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

No filters applied
27 Listings in Columnar Databases Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 56% Small-Business
    • 31% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Table Storage 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 Storage
    3
    Cost Efficiency
    2
    Efficiency
    1
    Features
    1
    Integrations
    1
    Cons
    Scalability Issues
    1
    SQL Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Table Storage features and usability ratings that predict user satisfaction
    9.4
    Data Model
    Average: 8.7
    9.4
    Data Types
    Average: 8.5
    8.7
    Has the product been a good partner in doing business?
    Average: 8.4
    10.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,093,068 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.

Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud.

Users
No information available
Industries
No information available
Market Segment
  • 56% Small-Business
  • 31% Enterprise
Azure Table Storage 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 Storage
3
Cost Efficiency
2
Efficiency
1
Features
1
Integrations
1
Cons
Scalability Issues
1
SQL Limitations
1
Azure Table Storage features and usability ratings that predict user satisfaction
9.4
Data Model
Average: 8.7
9.4
Data Types
Average: 8.5
8.7
Has the product been a good partner in doing business?
Average: 8.4
10.0
Integrated Cache
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,093,068 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 44% Enterprise
    • 28% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure Cosmos DB 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
    4
    Features
    3
    Integrations
    3
    Scalability
    3
    Customization
    2
    Cons
    Expensive
    3
    Cost Issues
    2
    Complexity Issues
    1
    Complex Usage
    1
    Cost Increase
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure Cosmos DB features and usability ratings that predict user satisfaction
    6.7
    Data Model
    Average: 8.7
    6.7
    Data Types
    Average: 8.5
    8.3
    Has the product been a good partner in doing business?
    Average: 8.4
    5.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,093,068 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.

Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 44% Enterprise
  • 28% Mid-Market
Azure Cosmos DB 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
4
Features
3
Integrations
3
Scalability
3
Customization
2
Cons
Expensive
3
Cost Issues
2
Complexity Issues
1
Complex Usage
1
Cost Increase
1
Azure Cosmos DB features and usability ratings that predict user satisfaction
6.7
Data Model
Average: 8.7
6.7
Data Types
Average: 8.5
8.3
Has the product been a good partner in doing business?
Average: 8.4
5.0
Integrated Cache
Average: 8.5
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,093,068 Twitter followers
LinkedIn® Page
www.linkedin.com
226,132 employees on LinkedIn®
Ownership
MSFT
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  • Overview
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  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 41% Mid-Market
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud BigTable 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
    Cloud Storage
    8
    Ease of Use
    4
    Integrations
    4
    Application Development
    3
    Data Analytics
    3
    Cons
    Cost Issues
    5
    Expensive
    5
    Billing Issues
    2
    Complexity
    2
    Learning Difficulty
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud BigTable features and usability ratings that predict user satisfaction
    9.2
    Data Model
    Average: 8.7
    10.0
    Data Types
    Average: 8.5
    8.9
    Has the product been a good partner in doing business?
    Average: 8.4
    10.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,726,776 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,935 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail. Bigtable is designed to handle

Users
No information available
Industries
No information available
Market Segment
  • 41% Mid-Market
  • 32% Enterprise
Google Cloud BigTable 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
Cloud Storage
8
Ease of Use
4
Integrations
4
Application Development
3
Data Analytics
3
Cons
Cost Issues
5
Expensive
5
Billing Issues
2
Complexity
2
Learning Difficulty
2
Google Cloud BigTable features and usability ratings that predict user satisfaction
9.2
Data Model
Average: 8.7
10.0
Data Types
Average: 8.5
8.9
Has the product been a good partner in doing business?
Average: 8.4
10.0
Integrated Cache
Average: 8.5
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,726,776 Twitter followers
LinkedIn® Page
www.linkedin.com
325,935 employees on LinkedIn®
Ownership
NASDAQ:GOOG
  • 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
    8.9
    Data Model
    Average: 8.7
    9.4
    Data Types
    Average: 8.5
    10.0
    Has the product been a good partner in doing business?
    Average: 8.4
    8.9
    Integrated Cache
    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
8.9
Data Model
Average: 8.7
9.4
Data Types
Average: 8.5
10.0
Has the product been a good partner in doing business?
Average: 8.4
8.9
Integrated Cache
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®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tinybird is a fully managed ClickHouse® service designed for software developers and AI-native product teams by enabling them to create large-scale real-time analytics projects with minimal effort. Ti

    Users
    No information available
    Industries
    • Computer Software
    Market Segment
    • 50% Mid-Market
    • 36% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tinybird 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
    6
    Analytics
    4
    Easy Integrations
    4
    Features
    4
    Integrations
    4
    Cons
    Poor Customer Support
    3
    Lack of Features
    2
    Learning Curve
    2
    Learning Difficulty
    2
    Limited Customization
    2
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tinybird features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    10.0
    Has the product been a good partner in doing business?
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Tinybird
    Company Website
    Year Founded
    2019
    HQ Location
    New York, US
    LinkedIn® Page
    www.linkedin.com
    54 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tinybird is a fully managed ClickHouse® service designed for software developers and AI-native product teams by enabling them to create large-scale real-time analytics projects with minimal effort. Ti

Users
No information available
Industries
  • Computer Software
Market Segment
  • 50% Mid-Market
  • 36% Small-Business
Tinybird 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
6
Analytics
4
Easy Integrations
4
Features
4
Integrations
4
Cons
Poor Customer Support
3
Lack of Features
2
Learning Curve
2
Learning Difficulty
2
Limited Customization
2
Tinybird features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
10.0
Has the product been a good partner in doing business?
Average: 8.4
0.0
No information available
Seller Details
Seller
Tinybird
Company Website
Year Founded
2019
HQ Location
New York, US
LinkedIn® Page
www.linkedin.com
54 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof a

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • CelerData Cloud 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
    3
    Fast Querying
    3
    Performance
    3
    Fast Communication
    2
    Fast Processing
    2
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • CelerData Cloud features and usability ratings that predict user satisfaction
    8.3
    Data Model
    Average: 8.7
    8.3
    Data Types
    Average: 8.5
    10.0
    Has the product been a good partner in doing business?
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    CelerData
    Company Website
    Year Founded
    2022
    HQ Location
    Menlo Park, US
    LinkedIn® Page
    www.linkedin.com
    65 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

CelerData Cloud is the fastest, secure analytical engine that powers customer-facing and AI-driven analytics at scale, delivering consistently reliable and unbeatable performance with a future-proof a

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Enterprise
CelerData Cloud 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
3
Fast Querying
3
Performance
3
Fast Communication
2
Fast Processing
2
Cons
This product has not yet received any negative sentiments.
CelerData Cloud features and usability ratings that predict user satisfaction
8.3
Data Model
Average: 8.7
8.3
Data Types
Average: 8.5
10.0
Has the product been a good partner in doing business?
Average: 8.4
0.0
No information available
Seller Details
Seller
CelerData
Company Website
Year Founded
2022
HQ Location
Menlo Park, US
LinkedIn® Page
www.linkedin.com
65 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Hypertable 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
    Large Datasets
    1
    Scalability
    1
    Cons
    Complexity
    1
    Security Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Hypertable features and usability ratings that predict user satisfaction
    8.3
    Data Model
    Average: 8.7
    10.0
    Data Types
    Average: 8.5
    0.0
    No information available
    10.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2009
    HQ Location
    Burlingame, US
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint.

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Hypertable 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
Large Datasets
1
Scalability
1
Cons
Complexity
1
Security Issues
1
Hypertable features and usability ratings that predict user satisfaction
8.3
Data Model
Average: 8.7
10.0
Data Types
Average: 8.5
0.0
No information available
10.0
Integrated Cache
Average: 8.5
Seller Details
Year Founded
2009
HQ Location
Burlingame, US
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Kinetica features and usability ratings that predict user satisfaction
    10.0
    Data Model
    Average: 8.7
    10.0
    Data Types
    Average: 8.5
    8.3
    Has the product been a good partner in doing business?
    Average: 8.4
    10.0
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kinetica
    Year Founded
    2016
    HQ Location
    Arlington, Virginia, United States
    Twitter
    @KineticaHQ
    3,484 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    71 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Kinetica is the database for time & space. Kinetica makes it easy and fast to: - ingest massive amounts of IoT data and other contextual data sets - fuse data sets using spatial and temporal joi

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Kinetica features and usability ratings that predict user satisfaction
10.0
Data Model
Average: 8.7
10.0
Data Types
Average: 8.5
8.3
Has the product been a good partner in doing business?
Average: 8.4
10.0
Integrated Cache
Average: 8.5
Seller Details
Seller
Kinetica
Year Founded
2016
HQ Location
Arlington, Virginia, United States
Twitter
@KineticaHQ
3,484 Twitter followers
LinkedIn® Page
www.linkedin.com
71 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of histor

    Users
    No information available
    Industries
    • Computer Software
    • Financial Services
    Market Segment
    • 79% Small-Business
    • 18% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Tiger 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
    8
    Analytics
    4
    Easy Setup
    4
    Performance
    4
    Setup Ease
    4
    Cons
    Expensive
    4
    Expensive Licensing
    3
    Missing Features
    3
    Poor UI
    3
    Slow Performance
    3
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Tiger Data features and usability ratings that predict user satisfaction
    7.2
    Data Model
    Average: 8.7
    7.8
    Data Types
    Average: 8.5
    9.3
    Has the product been a good partner in doing business?
    Average: 8.4
    7.8
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Company Website
    Year Founded
    2015
    HQ Location
    New York, New York
    Twitter
    @TigerDatabase
    1,210 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    43 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Tiger Data, from the creators of TimescaleDB, is the #1 Postgres time-series database for developers, devices and agents. Keep sensor, on-chain, and customer data fresh while retaining years of histor

Users
No information available
Industries
  • Computer Software
  • Financial Services
Market Segment
  • 79% Small-Business
  • 18% Mid-Market
Tiger 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
8
Analytics
4
Easy Setup
4
Performance
4
Setup Ease
4
Cons
Expensive
4
Expensive Licensing
3
Missing Features
3
Poor UI
3
Slow Performance
3
Tiger Data features and usability ratings that predict user satisfaction
7.2
Data Model
Average: 8.7
7.8
Data Types
Average: 8.5
9.3
Has the product been a good partner in doing business?
Average: 8.4
7.8
Integrated Cache
Average: 8.5
Seller Details
Company Website
Year Founded
2015
HQ Location
New York, New York
Twitter
@TigerDatabase
1,210 Twitter followers
LinkedIn® Page
www.linkedin.com
43 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases built for structured tabul

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • TileDB 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
    Database Management
    2
    Data Handling
    2
    Data Management
    2
    Data Storage
    2
    Ease of Use
    2
    Cons
    Learning Curve
    2
    Poor Documentation
    2
    UX Improvement
    2
    Difficult Learning
    1
    Installation Difficulty
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • TileDB features and usability ratings that predict user satisfaction
    8.3
    Data Model
    Average: 8.7
    6.7
    Data Types
    Average: 8.5
    0.0
    No information available
    6.7
    Integrated Cache
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    TileDB
    Year Founded
    2017
    HQ Location
    Cambridge, Massachusetts, United States
    LinkedIn® Page
    www.linkedin.com
    70 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases built for structured tabul

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
TileDB 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
Database Management
2
Data Handling
2
Data Management
2
Data Storage
2
Ease of Use
2
Cons
Learning Curve
2
Poor Documentation
2
UX Improvement
2
Difficult Learning
1
Installation Difficulty
1
TileDB features and usability ratings that predict user satisfaction
8.3
Data Model
Average: 8.7
6.7
Data Types
Average: 8.5
0.0
No information available
6.7
Integrated Cache
Average: 8.5
Seller Details
Seller
TileDB
Year Founded
2017
HQ Location
Cambridge, Massachusetts, United States
LinkedIn® Page
www.linkedin.com
70 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Infinidb enables to deploy massively scalable high-performance analytics applications in Amazon Web Services (AWS) with dynamic provisioning.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Infinidb features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    8.3
    Has the product been a good partner in doing business?
    Average: 8.4
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Infinidb
    HQ Location
    Frisco, TX
    Twitter
    @InfiniDB
    637 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Infinidb enables to deploy massively scalable high-performance analytics applications in Amazon Web Services (AWS) with dynamic provisioning.

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
Infinidb features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
8.3
Has the product been a good partner in doing business?
Average: 8.4
0.0
No information available
Seller Details
Seller
Infinidb
HQ Location
Frisco, TX
Twitter
@InfiniDB
637 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    QikkDB is a GPU-accelerated columnar database designed to deliver exceptional performance for complex polygon operations and big data analytics. It is particularly effective when handling datasets com

    We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
    Industries
    No information available
    Market Segment
    No information available
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • qikkDB | GPU accelerated columnar database features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

QikkDB is a GPU-accelerated columnar database designed to deliver exceptional performance for complex polygon operations and big data analytics. It is particularly effective when handling datasets com

We don't have enough data from reviews to share who uses this product. Leave a review to contribute, or learn more about review generation.
Industries
No information available
Market Segment
No information available
qikkDB | GPU accelerated columnar database features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®