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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 BigLake?

BigLake functions as an integrated storage solution that unifies data lakes and warehouses, enabling BigQuery and open-source tools such as Spark to work with data while upholding stringent access controls. This powerful engine enhances query performance in multi-cloud settings and is compatible with open formats like Apache Iceberg. By maintaining a single version of data with uniform attributes across both data lakes and warehouses, BigLake guarantees meticulous access management and governance across various distributed data sources. It effortlessly integrates with a range of open-source analytics tools and supports open data formats, thus delivering analytical capabilities regardless of where or how the data is stored. Users can choose the analytics tools that best fit their needs, whether they are open-source options or cloud-native solutions, all while leveraging a unified data repository. Furthermore, BigLake allows for precise access control across multiple open-source engines, including Apache Spark, Presto, and Trino, as well as in various formats like Parquet. It significantly improves query performance on data lakes utilizing BigQuery and works in tandem with Dataplex, promoting scalable management and structured data organization. This holistic strategy not only empowers organizations to fully utilize their data resources but also streamlines their analytics workflows, leading to enhanced insights and decision-making capabilities. Ultimately, BigLake represents a significant advancement in data management solutions, allowing businesses to navigate their data landscape with greater agility and effectiveness.

Media

Media

Integrations Supported

Amazon S3
Apache Spark
Azure Data Lake
Google Cloud BigQuery
Google Cloud Storage
NLSQL
Presto

Integrations Supported

Amazon S3
Apache Spark
Azure Data Lake
Google Cloud BigQuery
Google Cloud Storage
NLSQL
Presto

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$5 per TB
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/data-lakehouse/

Company Facts

Organization Name

Google

Company Location

United States

Company Website

cloud.google.com/biglake

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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