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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Hudi serves as a robust platform for constructing streaming data lakes equipped with incremental data pipelines, all while utilizing a self-managing database layer that is finely tuned for lake engines and conventional batch processing. It effectively keeps a timeline of every action taken on the table at various moments, enabling immediate views of the data while also facilitating the efficient retrieval of records in the order they were received. Each Hudi instant is composed of several essential components, allowing for streamlined operations. The platform excels in performing efficient upserts by consistently linking a specific hoodie key to a corresponding file ID through an indexing system. This relationship between record key and file group or file ID remains constant once the initial version of a record is written to a file, ensuring stability in data management. Consequently, the designated file group encompasses all iterations of a collection of records, allowing for seamless data versioning and retrieval. This design enhances both the reliability and efficiency of data operations within the Hudi ecosystem.

Description

Concentrate on producing insightful and impactful reports and analytics rather than getting bogged down in the complexities of data warehouse code. Avoid allowing your data warehouse to turn into a chaotic mix of numerous difficult-to-manage pipelines, notebooks, stored procedures, tables, and views. Dimodelo DW Studio significantly minimizes the workload associated with designing, constructing, deploying, and operating a data warehouse. It enables the design and deployment of a data warehouse optimized for Azure Synapse Analytics. By creating a best practice architecture that incorporates Azure Data Lake, Polybase, and Azure Synapse Analytics, Dimodelo Data Warehouse Studio ensures the delivery of a high-performance and contemporary data warehouse in the cloud. Moreover, with its use of parallel bulk loads and in-memory tables, Dimodelo Data Warehouse Studio offers an efficient solution for modern data warehousing needs, enabling teams to focus on valuable insights rather than maintenance tasks.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure Data Lake Yes 
Alluxio Yes 
Amazon Athena Yes 
Amazon Redshift Yes 
Apache Cassandra Yes 
Apache Hive Yes 
Apache Kafka Yes 
Apache Spark Yes 
Azure DevOps No 
Azure SQL Database No 
Azure Synapse Analytics No 
DataHub Yes 
Hadoop Yes 
Microsoft Azure No 
Microsoft Power BI No 
MySQL Yes 
PostgreSQL Yes 
Presto Yes 
SQL Server No 
e6data Yes 

Integrations

Azure Data Lake Yes 
Alluxio No 
Amazon Athena No 
Amazon Redshift No 
Apache Cassandra No 
Apache Hive No 
Apache Kafka No 
Apache Spark No 
Azure DevOps Yes 
Azure SQL Database Yes 
Azure Synapse Analytics Yes 
DataHub No 
Hadoop No 
Microsoft Azure Yes 
Microsoft Power BI Yes 
MySQL No 
PostgreSQL No 
Presto No 
SQL Server Yes 
e6data No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$899 per month
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Apache Corporation

Founded

1954

Country

United States

Website

hudi.apache.org

Vendor Details

Company Name

Dimodelo

Country

Australia

Website

www.dimodelo.com

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Alternatives

Alternatives

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