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What is Oracle Big Data SQL Cloud Service?

Oracle Big Data SQL Cloud Service enables organizations to efficiently analyze data across diverse platforms like Apache Hadoop, NoSQL, and Oracle Database by leveraging their existing SQL skills, security protocols, and applications, resulting in exceptional performance outcomes. This service simplifies data science projects and unlocks the potential of data lakes, thereby broadening the reach of Big Data benefits to a larger group of end users. It serves as a unified platform for cataloging and securing data from Hadoop, NoSQL databases, and Oracle Database. With integrated metadata, users can run queries that merge data from both Oracle Database and Hadoop or NoSQL environments. The service also comes with tools and conversion routines that facilitate the automation of mapping metadata from HCatalog or the Hive Metastore to Oracle Tables. Enhanced access configurations empower administrators to tailor column mappings and effectively manage data access protocols. Moreover, the ability to support multiple clusters allows a single Oracle Database instance to query numerous Hadoop clusters and NoSQL systems concurrently, significantly improving data accessibility and analytical capabilities. This holistic strategy guarantees that businesses can derive maximum insights from their data while maintaining high levels of performance and security, ultimately driving informed decision-making and innovation. Additionally, the service's ongoing updates ensure that organizations remain at the forefront of data technology advancements.

What is IBM InfoSphere Information Server?

Quickly set up cloud environments customized for immediate development, testing, and improved efficiency for both IT and business teams. Reduce the risks and costs linked to managing your data lake by implementing strong data governance practices, which include thorough end-to-end data lineage for business users. Enhance cost-effectiveness by ensuring your data lakes, data warehouses, or big data projects are fed with clean, dependable, and timely data, while also streamlining applications and retiring outdated databases. Take advantage of automatic schema propagation to speed up job creation, incorporate type-ahead search capabilities, and ensure backward compatibility, all within a design that supports execution across diverse platforms. Create data integration workflows and uphold governance and quality standards through an easy-to-use design that tracks and suggests usage trends, thereby improving user experience. Additionally, increase visibility and information governance by providing complete and authoritative insights into your data, supported by proof of lineage and quality, which allows stakeholders to make well-informed decisions based on precise information. By implementing these strategies, organizations can cultivate a more adaptable and data-centric culture, ultimately driving innovation and growth. This approach not only empowers teams but also aligns business objectives with data-driven decisions.

Media

Media

Integrations Supported

Amazon S3
AnalyticsCreator
Apache Cassandra
Apache HBase
Apache Kafka
Cloudera
Docker
Google Cloud Storage
Hadoop
Hive
Kubernetes
Legion AI
Microsoft Azure
Oracle Database
PayTrace
Supaboard

Integrations Supported

Amazon S3
AnalyticsCreator
Apache Cassandra
Apache HBase
Apache Kafka
Cloudera
Docker
Google Cloud Storage
Hadoop
Hive
Kubernetes
Legion AI
Microsoft Azure
Oracle Database
PayTrace
Supaboard

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$16,500 per month
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/big-data/big-data-sql/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/infosphere-information-server-enterprise

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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