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Best Big Data Processing And Distribution Systems - Page 6

Bijou Barry
BB
Researched and written by Bijou Barry

Big data processing and distribution systems offer a way to collect, distribute, store, and manage massive, unstructured data sets in real time. These solutions provide a simple way to process and distribute data amongst parallel computing clusters in an organized fashion. Built for scale, these products are created to run on hundreds or thousands of machines simultaneously, each providing local computation and storage capabilities. Big data processing and distribution systems provide a level of simplicity to the common business problem of data collection at a massive scale and are most often used by companies that need to organize an exorbitant amount of data. Many of these products offer a distribution that runs on top of the open-source big data clustering tool Hadoop.

Companies commonly have a dedicated administrator for managing big data clusters. The role requires in-depth knowledge of database administration, data extraction, and writing host system scripting languages. Administrator responsibilities often include implementation of data storage, performance upkeep, maintenance, security, and pulling the data sets. Businesses often use big data analytics tools to then prepare, manipulate, and model the data collected by these systems.

To qualify for inclusion in the Big Data Processing And Distribution Systems category, a product must:

Collect and process big data sets in real-time
Distribute data across parallel computing clusters
Organize the data in such a manner that it can be managed by system administrators and pulled for analysis
Allow businesses to scale machines to the number necessary to store its data
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Featured Big Data Processing And Distribution Systems At A Glance

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

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128 Listings in Big Data Processing and Distribution Available
(45)4.3 out of 5
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related

    Users
    No information available
    Industries
    • Financial Services
    • Information Technology and Services
    Market Segment
    • 49% Enterprise
    • 29% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Denodo 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
    Functionality
    3
    Connectors
    2
    Data Cataloging
    2
    Data Integration
    2
    Ease of Use
    2
    Cons
    Expensive
    2
    Bug Issues
    1
    Bugs
    1
    Difficult Learning
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Denodo features and usability ratings that predict user satisfaction
    8.9
    Has the product been a good partner in doing business?
    Average: 8.7
    10.0
    Real-Time Data Collection
    Average: 8.7
    8.3
    Machine Scaling
    Average: 8.6
    8.3
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Denodo
    Company Website
    Year Founded
    1999
    HQ Location
    Palo Alto, CA
    Twitter
    @denodo
    5,560 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    769 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related

Users
No information available
Industries
  • Financial Services
  • Information Technology and Services
Market Segment
  • 49% Enterprise
  • 29% Mid-Market
Denodo 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
Functionality
3
Connectors
2
Data Cataloging
2
Data Integration
2
Ease of Use
2
Cons
Expensive
2
Bug Issues
1
Bugs
1
Difficult Learning
1
Learning Curve
1
Denodo features and usability ratings that predict user satisfaction
8.9
Has the product been a good partner in doing business?
Average: 8.7
10.0
Real-Time Data Collection
Average: 8.7
8.3
Machine Scaling
Average: 8.6
8.3
Data Preparation
Average: 8.5
Seller Details
Seller
Denodo
Company Website
Year Founded
1999
HQ Location
Palo Alto, CA
Twitter
@denodo
5,560 Twitter followers
LinkedIn® Page
www.linkedin.com
769 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    FlinkML is the Machine Learning (ML) library for Flink it has a growing list of algorithms and contributors that aim to provide scalable ML algorithms, an intuitive API, and tools that help minimize g

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • FlinkML 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
    Seller
    Flink
    HQ Location
    Wakefield, MA
    Twitter
    @ApacheFlink
    18,649 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.

FlinkML is the Machine Learning (ML) library for Flink it has a growing list of algorithms and contributors that aim to provide scalable ML algorithms, an intuitive API, and tools that help minimize g

Users
No information available
Industries
No information available
Market Segment
  • 100% Enterprise
FlinkML 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
Seller
Flink
HQ Location
Wakefield, MA
Twitter
@ApacheFlink
18,649 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
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  • Overview
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  • 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
    8.3
    Has the product been a good partner in doing business?
    Average: 8.7
    8.3
    Real-Time Data Collection
    Average: 8.7
    10.0
    Machine Scaling
    Average: 8.6
    10.0
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Kinetica
    Year Founded
    2016
    HQ Location
    Arlington, Virginia, United States
    Twitter
    @KineticaHQ
    3,487 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
8.3
Has the product been a good partner in doing business?
Average: 8.7
8.3
Real-Time Data Collection
Average: 8.7
10.0
Machine Scaling
Average: 8.6
10.0
Data Preparation
Average: 8.5
Seller Details
Seller
Kinetica
Year Founded
2016
HQ Location
Arlington, Virginia, United States
Twitter
@KineticaHQ
3,487 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.

    MyDataHub is a comprehensive data management platform designed to help businesses unlock the full potential of their data. With over six years of experience, MyDataHub assists organizations in leverag

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • MyDataHub 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 Access
    1
    Ease of Use
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MyDataHub features and usability ratings that predict user satisfaction
    0.0
    No information available
    6.7
    Real-Time Data Collection
    Average: 8.7
    6.7
    Machine Scaling
    Average: 8.6
    6.7
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    MyDataHub
    Year Founded
    2022
    HQ Location
    Fethiye, TR
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MyDataHub is a comprehensive data management platform designed to help businesses unlock the full potential of their data. With over six years of experience, MyDataHub assists organizations in leverag

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
MyDataHub 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 Access
1
Ease of Use
1
Cons
This product has not yet received any negative sentiments.
MyDataHub features and usability ratings that predict user satisfaction
0.0
No information available
6.7
Real-Time Data Collection
Average: 8.7
6.7
Machine Scaling
Average: 8.6
6.7
Data Preparation
Average: 8.5
Seller Details
Seller
MyDataHub
Year Founded
2022
HQ Location
Fethiye, TR
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.

    The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. Licensed under Apache 2.0, RAPIDS is incu

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • RAPIDS features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Real-Time Data Collection
    Average: 8.7
    10.0
    Machine Scaling
    Average: 8.6
    8.3
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    NVIDIA
    Year Founded
    1993
    HQ Location
    Santa Clara, CA
    Twitter
    @nvidia
    2,433,253 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    46,062 employees on LinkedIn®
    Ownership
    NVDA
Product Description
How are these determined?Information
This description is provided by the seller.

The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. Licensed under Apache 2.0, RAPIDS is incu

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
RAPIDS features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Real-Time Data Collection
Average: 8.7
10.0
Machine Scaling
Average: 8.6
8.3
Data Preparation
Average: 8.5
Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,433,253 Twitter followers
LinkedIn® Page
www.linkedin.com
46,062 employees on LinkedIn®
Ownership
NVDA
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Teraki data processing software provides customer’s algorithms to work with more accurate and higher frequency data streams. This means that Teraki is able to get more relevant information from the ca

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Teraki 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 Processing
    1
    Fast Processing
    1
    Cons
    Large Datasets
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Teraki features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Real-Time Data Collection
    Average: 8.7
    6.7
    Machine Scaling
    Average: 8.6
    6.7
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Teraki
    Year Founded
    2015
    HQ Location
    Berlin, DE
    LinkedIn® Page
    linkedin.com
    25 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Teraki data processing software provides customer’s algorithms to work with more accurate and higher frequency data streams. This means that Teraki is able to get more relevant information from the ca

Users
No information available
Industries
No information available
Market Segment
  • 100% Small-Business
Teraki 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 Processing
1
Fast Processing
1
Cons
Large Datasets
1
Teraki features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Real-Time Data Collection
Average: 8.7
6.7
Machine Scaling
Average: 8.6
6.7
Data Preparation
Average: 8.5
Seller Details
Seller
Teraki
Year Founded
2015
HQ Location
Berlin, DE
LinkedIn® Page
linkedin.com
25 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Ahana Cloud for Presto is a fully integrated, cloud-native managed service built for AWS and the easiest way to get up and running with Presto. The managed service includes the Ahana SaaS Console whic

    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
  • Ahana Cloud for Presto 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
    Seller
    Ahana
    Year Founded
    2020
    HQ Location
    Armonk, New York, United States
    Twitter
    @ahana
    258 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    334,743 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Ahana Cloud for Presto is a fully integrated, cloud-native managed service built for AWS and the easiest way to get up and running with Presto. The managed service includes the Ahana SaaS Console whic

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
Ahana Cloud for Presto 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
Seller
Ahana
Year Founded
2020
HQ Location
Armonk, New York, United States
Twitter
@ahana
258 Twitter followers
LinkedIn® Page
www.linkedin.com
334,743 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    No code ModelOps for the fastest advanced analytics possible. In today's world, everyone is data-driven. From marketing to finance to engineering, data is the new currency of business. Unfortunately,

    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
  • AI-Surge Cloud 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.

No code ModelOps for the fastest advanced analytics possible. In today's world, everyone is data-driven. From marketing to finance to engineering, data is the new currency of business. Unfortunately,

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
AI-Surge Cloud 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®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Open source data orchestration for analytics and machine learning in any cloud

    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
  • Alluxio 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
    Seller
    Alluxio
    Year Founded
    2015
    HQ Location
    San Mateo, US
    Twitter
    @Alluxio
    1,289 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    100 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Open source data orchestration for analytics and machine learning in any cloud

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
Alluxio 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
Seller
Alluxio
Year Founded
2015
HQ Location
San Mateo, US
Twitter
@Alluxio
1,289 Twitter followers
LinkedIn® Page
www.linkedin.com
100 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Altiscale Data Cloud is a fully managed Big Data platform, delivering instant access to production-ready Hadoop and Spark.

    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
  • Altiscale Data Cloud 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
    Seller
    Altiscale
    Year Founded
    2012
    HQ Location
    Palo Alto, US
    Twitter
    @Altiscale
    171 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    3 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Altiscale Data Cloud is a fully managed Big Data platform, delivering instant access to production-ready Hadoop and Spark.

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
Altiscale Data Cloud 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
Seller
Altiscale
Year Founded
2012
HQ Location
Palo Alto, US
Twitter
@Altiscale
171 Twitter followers
LinkedIn® Page
www.linkedin.com
3 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AMETRAS Automatic Documents Processing can help you collect relevant information from your documents in order to process, provide and distribute them.

    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
  • AMETRAS Automatic Documents Processing 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
    HQ Location
    Eberhardzell, DE
    Twitter
    @DimiAmetras
    LinkedIn® Page
    www.linkedin.com
    28 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AMETRAS Automatic Documents Processing can help you collect relevant information from your documents in order to process, provide and distribute them.

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
AMETRAS Automatic Documents Processing 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
HQ Location
Eberhardzell, DE
Twitter
@DimiAmetras
LinkedIn® Page
www.linkedin.com
28 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AMR Win Control offers software for data acquisition and measured data processing.

    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
  • AMR Win Control Software 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
    Seller
    Ahlborn
    HQ Location
    Germany
    LinkedIn® Page
    www.linkedin.com
    2 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AMR Win Control offers software for data acquisition and measured data processing.

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
AMR Win Control Software 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
Seller
Ahlborn
HQ Location
Germany
LinkedIn® Page
www.linkedin.com
2 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Apache Hudi is an open-source data lake platform that brings database-like capabilities to data lakes, enabling ACID transactions, record-level updates and deletes, and efficient data ingestion. Devel

    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
  • Apache Hudi 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
    Seller
    Onehouse
    Year Founded
    2021
    HQ Location
    Menlo Park, US
    LinkedIn® Page
    www.linkedin.com
    59 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Apache Hudi is an open-source data lake platform that brings database-like capabilities to data lakes, enabling ACID transactions, record-level updates and deletes, and efficient data ingestion. Devel

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
Apache Hudi 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
Seller
Onehouse
Year Founded
2021
HQ Location
Menlo Park, US
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    AxonIQ Console Insight and management for Axon Framework and Axon Server AxonIQ Console is designed to get the most out of your Axon Framework application and Axon Server environment, no matter where

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • AxonIQ Console 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 Learning
    1
    Intuitive Use
    1
    Simple
    1
    Usability
    1
    Cons
    Product Updates
    1
    Slow Performance
    1
    Slow Updates
    1
    Update Issues
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • AxonIQ Console features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Real-Time Data Collection
    Average: 8.7
    0.0
    No information available
    10.0
    Data Preparation
    Average: 8.5
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    AxonIQ
    Year Founded
    2017
    HQ Location
    Utrecht, NL
    LinkedIn® Page
    www.linkedin.com
    39 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

AxonIQ Console Insight and management for Axon Framework and Axon Server AxonIQ Console is designed to get the most out of your Axon Framework application and Axon Server environment, no matter where

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
AxonIQ Console 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 Learning
1
Intuitive Use
1
Simple
1
Usability
1
Cons
Product Updates
1
Slow Performance
1
Slow Updates
1
Update Issues
1
AxonIQ Console features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Real-Time Data Collection
Average: 8.7
0.0
No information available
10.0
Data Preparation
Average: 8.5
Seller Details
Seller
AxonIQ
Year Founded
2017
HQ Location
Utrecht, NL
LinkedIn® Page
www.linkedin.com
39 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BasePair is a SaaS platform for genomic data analysis and visualization that can be used for multitude of application areas across epigenetics, genomics, transcriptomics and others. Bioinformaticians

    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
  • Basepair 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
    Seller
    Basepair
    Year Founded
    2017
    HQ Location
    New York City, US
    Twitter
    @BasepairTech
    358 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    21 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BasePair is a SaaS platform for genomic data analysis and visualization that can be used for multitude of application areas across epigenetics, genomics, transcriptomics and others. Bioinformaticians

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
Basepair 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
Seller
Basepair
Year Founded
2017
HQ Location
New York City, US
Twitter
@BasepairTech
358 Twitter followers
LinkedIn® Page
www.linkedin.com
21 employees on LinkedIn®