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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 Apache Sentry?

Apache Sentryâ„¢ is a powerful solution for implementing comprehensive role-based access control for both data and metadata in Hadoop clusters. Officially advancing from the Incubator stage in March 2016, it has gained recognition as a Top-Level Apache project. Designed specifically for Hadoop, Sentry acts as a fine-grained authorization module that allows users and applications to manage access privileges with great precision, ensuring that only verified entities can execute certain actions within the Hadoop ecosystem. It integrates smoothly with multiple components, including Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala, and HDFS, though it has certain limitations concerning Hive table data. Constructed as a pluggable authorization engine, Sentry's design enhances its flexibility and effectiveness across a variety of Hadoop components. By enabling the creation of specific authorization rules, it accurately validates access requests for various Hadoop resources. Its modular architecture is tailored to accommodate a wide array of data models employed within the Hadoop framework, further solidifying its status as a versatile solution for data governance and security. Consequently, Apache Sentry emerges as an essential tool for organizations that strive to implement rigorous data access policies within their Hadoop environments, ensuring robust protection of sensitive information. This capability not only fosters compliance with regulatory standards but also instills greater confidence in data management practices.

Media

Media

Integrations Supported

Apache Hive
AWS Glue
Apache Iceberg

Integrations Supported

Apache Hive
AccessOwl
Adaptive
Apache Solr
Cocodly
Codecov
Compyl
Flue
Hadoop
Hue
Indent
Mimasa AI
PathPilot
Resmo
Small Hours
SpendHound
TaskCall
Zenduty

API Availability

API Availability

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

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Datazip

Company Location

United States

Company Website

olake.io/olake-fusion/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

sentry.apache.org

Categories and Features

Data Lake

Not specified

Categories and Features

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