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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

Google Cloud Lakehouse is a modern data storage and management solution that combines the capabilities of data warehouses and data lakes into a unified platform. It enables organizations to store, access, and analyze data in open formats like Apache Iceberg, Parquet, and ORC without duplication. By maintaining a single source of truth, the platform eliminates the need for complex data movement and reduces operational overhead. It offers fine-grained security controls, allowing organizations to manage access and governance policies effectively. The Lakehouse runtime catalog provides centralized metadata management and simplifies resource organization. The platform supports scalable analytics and integrates seamlessly with tools like Apache Spark for advanced data processing. It is designed to handle large-scale data workloads while maintaining high performance and reliability. Built-in best practices and guides help users optimize their data architecture. It also supports replication and disaster recovery for enhanced resilience. Overall, Google Cloud Lakehouse provides a flexible and efficient way to unify and analyze enterprise data.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Data Lake Yes 
Amazon S3 No 
Apache Iceberg No 
Apache Spark No 
Azure DevOps Yes 
Azure SQL Database Yes 
Azure Synapse Analytics Yes 
Google Cloud BigQuery No 
Google Cloud Storage No 
Microsoft Azure Yes 
Microsoft Power BI Yes 
Presto No 
SQL Server Yes 

Integrations

Azure Data Lake Yes 
Amazon S3 Yes 
Apache Iceberg Yes 
Apache Spark Yes 
Azure DevOps No 
Azure SQL Database No 
Azure Synapse Analytics No 
Google Cloud BigQuery Yes 
Google Cloud Storage Yes 
Microsoft Azure No 
Microsoft Power BI No 
Presto Yes 
SQL Server No 

Pricing Details

$899 per month
Free Trial No 
Free Version No 

Pricing Details

$5 per TB
Free Trial Yes 
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 Yes 
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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Dimodelo

Country

Australia

Website

www.dimodelo.com

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

docs.cloud.google.com/lakehouse/docs

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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