Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Our partnership combines Pandera's extensive expertise in enterprise, industry, and technology with the cutting-edge innovations of Google Cloud. By merging business and data solutions, we create impactful synergies that facilitate modernization in the cloud. Upgrade your data platform to fully harness the potential of your data while minimizing expenses and speeding up data-informed decision making processes. We revolutionize how organizations utilize and interpret information, enhancing their capabilities for data-driven decisions. Our comprehensive services empower you to lead innovation by offering both strategic guidance and technical know-how, ensuring you can fully exploit your data's capabilities. Additionally, we assist in formulating a strategic roadmap and practical methods for your cloud adoption across various environments, whether public, private, or hybrid, ultimately fostering a more agile and responsive organization.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon S3
Yes
Apache Iceberg
Yes
Apache Spark
Yes
Azure Data Lake
Yes
Google Cloud BigQuery
Yes
Google Cloud Storage
Yes
Presto
Yes
Integrations
Amazon S3
No
Apache Iceberg
No
Apache Spark
No
Azure Data Lake
No
Google Cloud BigQuery
No
Google Cloud Storage
No
Presto
No
Pricing Details
$5 per TB
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
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
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
docs.cloud.google.com/lakehouse/docs
Vendor Details
Company Name
Pandera Systems
Country
United States
Website
panderasystems.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