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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 IBM watsonx.data?

Utilize your data, no matter where it resides, by employing an open and hybrid data lakehouse specifically crafted for AI and analytics applications. Effortlessly combine data from diverse sources and formats, all available through a central access point that includes a shared metadata layer. Boost both cost-effectiveness and performance by matching particular workloads with the most appropriate query engines. Speed up the identification of generative AI insights through integrated natural-language semantic search, which removes the necessity for SQL queries. It's crucial to build your AI applications on reliable data to improve their relevance and precision. Unleash the full potential of your data, regardless of its location. Merging the speed of a data warehouse with the flexibility of a data lake, watsonx.data is designed to promote the growth of AI and analytics capabilities across your organization. Choose the ideal engines that cater to your workloads to enhance your strategy effectively. Benefit from the versatility to manage costs, performance, and functionalities with access to a variety of open engines, including Presto, Presto C++, Spark Milvus, and many others, ensuring that your tools perfectly meet your data requirements. This all-encompassing strategy fosters innovative solutions that can propel your business into the future, ensuring sustained growth and adaptability in an ever-changing market landscape.

Media

Media

Integrations Supported

Apache Hive
OLake Go

Integrations Supported

Apache Hive
Amazon Web Services (AWS)
Anaconda
Apache Spark
Box
Clarifai
Hugging Face
Iceberg
MariaDB
MeiliSearch
Meta AI
MySQL
Qdrant
Salesforce
Snowflake
Vald
Validator
Vespa

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
Free Trial Offered?

Supported Platforms

On-Prem

Supported Platforms

SaaS

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
On-Site Training

Company Facts

Organization Name

Datazip

Company Location

United States

Company Website

olake.io/olake-fusion/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/watsonx-data

Categories and Features

Data Lake

Not specified

Categories and Features

Data Lake

Not specified

Data Warehouse

Not specified

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