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Description
Cazpian is a modern data platform built to help organizations manage and analyze data across open lakehouse ecosystems. The platform unifies governance, compute workloads, data catalogs, and AI-powered insights within a single environment. Cazpian enables data teams to connect multiple data sources such as object storage systems, Iceberg tables, and traditional relational databases without requiring data movement. Through its unified SQL interface, users can query and analyze datasets from different sources while maintaining consistent security policies and governance rules. The platform includes a compute workbench that supports SQL queries, code notebooks, job scheduling, and performance optimization tools. Cazpian also offers Iceberg automation capabilities that handle tasks such as compaction, snapshot management, and maintenance scheduling. AI Studio provides AI agents that deliver evidence-backed answers by combining queries with document-based knowledge sources. The platform also supports the creation of governed data products that can be discovered and reused across teams. With built-in role-based access control and policy management, organizations can ensure secure access to their data assets. By combining data infrastructure, analytics tools, and AI capabilities, Cazpian helps teams build scalable and well-governed analytics environments.
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
API Access
Has API
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Integrations
Apache Iceberg
Apache Spark
Amazon S3
Amazon Web Services (AWS)
Azure Data Lake
Google Cloud BigQuery
Google Cloud Storage
Kubernetes
Presto
Integrations
Apache Iceberg
Apache Spark
Amazon S3
Amazon Web Services (AWS)
Azure Data Lake
Google Cloud BigQuery
Google Cloud Storage
Kubernetes
Presto
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$5 per TB
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Cazpian
Country
Unitied States
Website
cazpian.ai
Vendor Details
Company Name
Founded
1998
Country
United States
Website
docs.cloud.google.com/lakehouse/docs
Product Features
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
