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What is OLake Fusion?

OLake Fusion is an innovative self-hosted application aimed at effectively managing Apache Iceberg tables within data lakehouses. This application streamlines the scheduled table compaction process, allowing for the merging of smaller data files and the transformation of delete files to improve table organization as data is continuously added, altered, or removed. Users can customize maintenance schedules for each table, selecting from compaction options categorized as Lite, Medium, or Full, and can also evaluate table health, file metrics, and track maintenance logs through a user-friendly web interface. Furthermore, Fusion boasts seamless integration with various Iceberg catalogs, including AWS Glue, Hive Metastore, JDBC, and REST-based systems like Nessie, Polaris, Unity Catalog, and Lakekeeper, enabling it to manage tables originally created outside the OLake framework. Deployment is versatile, offering options for Docker or Kubernetes, making it adaptable for either cloud infrastructure or on-premises environments. This tool proves especially advantageous for data engineers and platform teams overseeing analytical lakehouses that leverage Apache Iceberg, facilitating efficient data management practices. With its combination of flexibility and robustness, OLake Fusion stands out as a crucial resource for contemporary data management strategies, ultimately driving better performance and organization of data workflows.

What is Cloudera DataFlow?

Cloudera DataFlow for the Public Cloud (CDF-PC) serves as a flexible, cloud-based solution for data distribution, leveraging Apache NiFi to help developers effortlessly connect with a variety of data sources that have different structures, process that information, and route it to many potential destinations. Designed with a flow-oriented low-code approach, this platform aligns well with developers’ preferences when they are crafting, developing, and testing their data distribution pipelines. CDF-PC includes a vast library featuring over 400 connectors and processors that support a wide range of hybrid cloud services, such as data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring a streamlined and adaptable data distribution process. In addition, the platform allows for version control of the data flows within a catalog, enabling operators to efficiently manage deployments across various runtimes, which significantly boosts operational efficiency while simplifying the deployment workflow. By facilitating effective data management, CDF-PC ultimately empowers organizations to drive innovation and maintain agility in their operations, allowing them to respond swiftly to market changes and evolving business needs. With its robust capabilities, CDF-PC stands out as an indispensable tool for modern data-driven enterprises.

Media

Media

Integrations Supported

AWS Glue
Apache Hive
Apache Iceberg
OLake Go
Unity Catalog

Integrations Supported

Cloudera
Cloudera Data Platform
Litmus Edge
Talend Data Preparation
Ternary

API Availability

API Availability

Has API

Pricing Information

$0
The open-source software has no license charge; customers pay for the compute and storage they provision.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

On-Prem

Supported Platforms

Not specified

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Datazip

Company Location

United States

Company Website

olake.io/olake-fusion/

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/cdf.html

Categories and Features

Data Lake

Not specified

Categories and Features

Data Integration

Not specified

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Popular Alternatives

No Alternatives

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