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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 Delta Lake?

Delta Lake acts as an open-source storage solution that integrates ACID transactions within Apache Sparkâ„¢ and enhances operations in big data environments. In conventional data lakes, various pipelines function concurrently to read and write data, often requiring data engineers to invest considerable time and effort into preserving data integrity due to the lack of transactional support. With the implementation of ACID transactions, Delta Lake significantly improves data lakes, providing a high level of consistency thanks to its serializability feature, which represents the highest standard of isolation. For more detailed exploration, you can refer to Diving into Delta Lake: Unpacking the Transaction Log. In the big data landscape, even metadata can become quite large, and Delta Lake treats metadata with the same importance as the data itself, leveraging Spark's distributed processing capabilities for effective management. As a result, Delta Lake can handle enormous tables that scale to petabytes, containing billions of partitions and files with ease. Moreover, Delta Lake's provision for data snapshots empowers developers to access and restore previous versions of data, making audits, rollbacks, or experimental replication straightforward, while simultaneously ensuring data reliability and consistency throughout the system. This comprehensive approach not only streamlines data management but also enhances operational efficiency in data-intensive applications.

Media

Media

Integrations Supported

Apache Hive

Integrations Supported

Actian Data Observability
Amundsen
Arroyo
CelerData Cloud
Dell AI-Ready Data Platform
Edmunds Financial Management
IBM watsonx.data integration
Informatica Cloud Application Integration
Kyvos Semantic Layer
McGraw-Hill Connect
MySQL
Onehouse
OpenMetadata
StarTree
Talend Data Fabric
Tecton
eBay
lakeFS

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

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Datazip

Company Location

United States

Company Website

olake.io/olake-fusion/

Company Facts

Organization Name

Delta Lake

Date Founded

2019

Company Location

United States

Company Website

delta.io

Categories and Features

Data Lake

Not specified

Categories and Features

Big Data

Not specified

Data Engineering

Not specified

Data Lake

Not specified

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