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What is Oracle Cloud Infrastructure Data Lakehouse?

A data lakehouse embodies a modern, open architecture tailored for the storage, understanding, and analysis of large data sets. It combines the strong features of traditional data warehouses with the considerable adaptability provided by popular open-source data technologies currently in use. Building a data lakehouse is feasible on Oracle Cloud Infrastructure (OCI), which supports effortless integration with advanced AI frameworks and pre-built AI services, including Oracle’s language processing tools. Users can utilize Data Flow, a serverless Spark service, enabling them to focus on their Spark tasks without the hassle of infrastructure management. Many clients of Oracle seek to create advanced analytics driven by machine learning, applicable to their Oracle SaaS data or other SaaS sources. In addition, our intuitive data integration connectors simplify the setup of a lakehouse, promoting comprehensive analysis of all data alongside your SaaS information and considerably speeding up the solution delivery process. This groundbreaking methodology not only streamlines data governance but also significantly boosts analytical prowess for organizations aiming to harness their data more efficiently. Ultimately, the integration of these technologies empowers businesses to make data-driven decisions with greater agility and insight.

What is OLake Go?

OLake Go is a robust open-source solution tailored for replicating operational data into data lakehouse setups. It offers seamless connectivity to numerous databases, such as PostgreSQL, MySQL, MongoDB, Oracle Database, SQL Server, and IBM Db2, as well as integration with Apache Kafka and various object storage systems. The platform supports both full-load and incremental data ingestion and incorporates change data capture for its multitude of connectors, efficiently storing the ingested data in Apache Iceberg tables and Parquet files through compatible catalogs and storage targets. Data engineers and analytics professionals can effortlessly initiate ingestion tasks using the OLake user interface or command-line tools, with the option to deploy the solution within their own infrastructure, which fosters the creation of synchronized datasets for enhanced querying and analysis. With deployment options based on Docker and configurations tailored to specific connectors, teams can adeptly manage source connections, data destinations, and the entire data movement process in a self-hosted environment, thus driving operational effectiveness. This capability not only allows organizations to utilize their data in a more strategic manner but also guarantees streamlined access to vital insights, paving the way for informed decision-making. As a result, OLake Go equips organizations with the tools they need to navigate the complexities of data management and analysis efficiently.

Media

Media

Integrations Supported

NLSQL

Integrations Supported

AWS Glue
Amazon S3
Apache Iceberg
Apache Kafka
Google Cloud BigQuery
Google Cloud Storage
IBM Db2
MinIO
MongoDB
MySQL
OLake Fusion
Oracle Database
PostgreSQL
SQL Server
Unity Catalog

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0
OLake Go is open-source software distributed under the Apache 2.0 license, with no software license fee. Self-hosting requires separately provisioned compute, storage, and other infrastructure.
Free Version

Supported Platforms

SaaS

Supported Platforms

On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/data-lakehouse/

Company Facts

Organization Name

Datazip

Date Founded

2022

Company Location

United States

Company Website

olake.io

Categories and Features

Data Lake

Not specified

Data Management

Not specified

Data Warehouse

Not specified

Categories and Features

Data Replication

Not specified

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