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
OLake Fusion is an application designed for self-hosting that focuses on the management of Apache Iceberg tables within data lakehouses. This tool automates the process of scheduled table compaction, effectively merging smaller data files and transforming delete files to enhance the overall layout of tables as data is consistently added, modified, or removed. Users have the ability to set maintenance schedules at the individual table level, choosing from compaction tiers labeled Lite, Medium, and Full, while also being able to assess table health, file metrics, and monitor maintenance activities and logs via an intuitive web interface. Additionally, Fusion integrates seamlessly with various Iceberg catalogs, such as AWS Glue, Hive Metastore, JDBC, and REST-based catalog systems like Nessie, Polaris, Unity Catalog, and Lakekeeper, allowing it to manage tables that were created externally to OLake. Deployment options include Docker or Kubernetes, making it suitable for a team’s cloud infrastructure or on-premises setup. This tool is particularly beneficial for data engineers and platform teams who are managing analytical lakehouses that utilize Apache Iceberg, ensuring efficient data handling within their environments. The flexibility and robustness of OLake Fusion make it an essential asset for modern data management practices.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Apache Iceberg
Yes
AWS Glue
No
Amazon S3
Yes
Apache Hive
No
Apache Spark
Yes
Azure Data Lake
Yes
Google Cloud BigQuery
Yes
Google Cloud Storage
Yes
OLake Go
No
Presto
Yes
Integrations
Apache Iceberg
Yes
AWS Glue
Yes
Amazon S3
No
Apache Hive
Yes
Apache Spark
No
Azure Data Lake
No
Google Cloud BigQuery
No
Google Cloud Storage
No
OLake Go
Yes
Presto
No
Pricing Details
$5 per TB
Free Trial
Yes
Free Version
No
Pricing Details
$0
The open-source software has no license charge; customers pay for the compute and storage they provision.
Free Trial
No
Free Version
Yes
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
Yes
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
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
Datazip
Country
United States
Website
olake.io/olake-fusion/
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