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Description

A data lakehouse represents a contemporary, open architecture designed for storing, comprehending, and analyzing comprehensive data sets. It merges the robust capabilities of traditional data warehouses with the extensive flexibility offered by widely used open-source data technologies available today. Constructing a data lakehouse can be accomplished on Oracle Cloud Infrastructure (OCI), allowing seamless integration with cutting-edge AI frameworks and pre-configured AI services such as Oracle’s language processing capabilities. With Data Flow, a serverless Spark service, users can concentrate on their Spark workloads without needing to manage underlying infrastructure. Many Oracle clients aim to develop sophisticated analytics powered by machine learning, applied to their Oracle SaaS data or other SaaS data sources. Furthermore, our user-friendly data integration connectors streamline the process of establishing a lakehouse, facilitating thorough analysis of all data in conjunction with your SaaS data and significantly accelerating the time to achieve solutions. This innovative approach not only optimizes data management but also enhances analytical capabilities for businesses looking to leverage their data effectively.

Description

The market experiences limited competition as a result of significant entry barriers, specialized expertise, substantial capital requirements, and extended time-to-market. Moreover, current platforms offer similar pricing and performance, which diminishes the motivation for users to transition. Transitioning from one SQL dialect to another can take months of intensive work. There is a demand for format-independent computing that can seamlessly work with all major open standards. Data leaders in enterprises are currently facing an extraordinary surge in the need for data intelligence. They are taken aback to discover that a mere 10% of their most demanding, compute-heavy tasks account for 80% of the costs, engineering resources, and stakeholder grievances. Regrettably, these workloads are also essential and cannot be neglected. e6data enhances the return on investment for a company's current data platforms and infrastructure. Notably, e6data’s format-agnostic computing stands out for its remarkable efficiency and performance across various leading data lakehouse table formats, thereby providing a significant advantage in optimizing enterprise operations. This innovative solution positions organizations to better manage their data-driven demands while maximizing their existing resources.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 No 
Amazon Web Services (AWS) No 
Apache Avro No 
Apache Hive No 
Apache Hudi No 
Apache Parquet No 
Delta No 
Google Cloud Platform No 
Iceberg No 
Microsoft Azure No 
NLSQL Yes 

Integrations

Amazon S3 Yes 
Amazon Web Services (AWS) Yes 
Apache Avro Yes 
Apache Hive Yes 
Apache Hudi Yes 
Apache Parquet Yes 
Delta Yes 
Google Cloud Platform Yes 
Iceberg Yes 
Microsoft Azure Yes 
NLSQL No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/data-lakehouse/

Vendor Details

Company Name

e6data

Founded

2020

Country

United States

Website

www.e6data.com

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Product Features

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

Alternatives

Alternatives

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