Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Secure Eraser Reviews & Ratings
    5.0 out of 5 stars 15 Ratings
    Company Website for Secure Eraser
  • AnalyticsCreator Reviews & Ratings
    4.6 out of 5 stars 46 Ratings
    Company Website for AnalyticsCreator
  • Concord Reviews & Ratings
    4.6 out of 5 stars 237 Ratings
    Company Website for Concord
  • FusionAuth Reviews & Ratings
    4.6 out of 5 stars 192 Ratings
    Company Website for FusionAuth
  • Docmosis Reviews & Ratings
    4.9 out of 5 stars 51 Ratings
    Company Website for Docmosis
  • Expedience Software Reviews & Ratings
    4.8 out of 5 stars 34 Ratings
    Company Website for Expedience Software
  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • Epsilon3 Reviews & Ratings
    4.2 out of 5 stars 265 Ratings
    Company Website for Epsilon3
  • JS7 JobScheduler Reviews & Ratings
    5.0 out of 5 stars 1 Rating
    Company Website for JS7 JobScheduler
  • EcholoN Reviews & Ratings
    4.8 out of 5 stars 50 Ratings
    Company Website for EcholoN

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 DataFusion?

Apache DataFusion is a highly adaptable and capable query engine developed in Rust, which utilizes Apache Arrow for efficient in-memory data handling. It is intended for developers who are working on data-centric systems, including databases, data frames, machine learning applications, and real-time data streaming solutions. Featuring both SQL and DataFrame APIs, DataFusion offers a vectorized, multi-threaded execution engine that efficiently manages data streams while accommodating a variety of partitioned data sources. It supports numerous native file formats, including CSV, Parquet, JSON, and Avro, and integrates seamlessly with popular object storage services such as AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture is equipped with a sophisticated query planner and an advanced optimizer, which includes features like expression coercion, simplification, and distribution-aware optimizations, as well as automatic join reordering for enhanced performance. Additionally, DataFusion provides significant customization options, allowing developers to implement user-defined scalar, aggregate, and window functions, as well as integrate custom data sources and query languages, thereby enhancing its utility for a wide range of data processing scenarios. This flexibility ensures that developers can effectively adjust the engine to meet their specific requirements and optimize their data workflows.

Media

Media

Integrations Supported

AWS Glue
Apache Hive
Apache Iceberg
OLake Go
Unity Catalog

Integrations Supported

Amazon S3
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Google Cloud Storage
Google Sheets
JSON
Microsoft Excel
Python
Rust
SDF
SQL

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

Free
Free Version

Supported Platforms

On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Datazip

Company Location

United States

Company Website

olake.io/olake-fusion/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

2019

Company Location

United States

Company Website

datafusion.apache.org

Categories and Features

Data Lake

Not specified

Categories and Features

Database

Not specified

Popular Alternatives

Popular Alternatives

OLake Go Reviews & Ratings

OLake Go

Datazip
Apache Iceberg Reviews & Ratings

Apache Iceberg

Apache Software Foundation