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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Oracle Big Data SQL Cloud Service empowers companies to swiftly analyze information across various platforms such as Apache Hadoop, NoSQL, and Oracle Database, all while utilizing their existing SQL expertise, security frameworks, and applications, achieving remarkable performance levels. This solution streamlines data science initiatives and facilitates the unlocking of data lakes, making the advantages of Big Data accessible to a wider audience of end users. It provides a centralized platform for users to catalog and secure data across Hadoop, NoSQL systems, and Oracle Database. With seamless integration of metadata, users can execute queries that combine data from Oracle Database with that from Hadoop and NoSQL databases. Additionally, the service includes utilities and conversion routines that automate the mapping of metadata stored in HCatalog or the Hive Metastore to Oracle Tables. Enhanced access parameters offer administrators the ability to customize column mapping and govern data access behaviors effectively. Furthermore, the capability to support multiple clusters allows a single Oracle Database to query various Hadoop clusters and NoSQL systems simultaneously, thereby enhancing data accessibility and analytics efficiency. This comprehensive approach ensures that organizations can maximize their data insights without compromising on performance or security.

Description

Unify all your data sources, encompassing both relational and NoSQL databases, SaaS applications, and APIs, allowing you to query them as if they were a single data entity instantly. Process data at its source without delay, enabling you to query, cache, and merge information from various origins seamlessly. Utilize webhooks to bring in real-time streaming data from platforms like Kafka and Segment into the Peaka BI Table, moving away from the traditional nightly batch ingestion in favor of immediate data accessibility. Approach every data source as though it were a relational database, transforming any API into a table that can be integrated and joined with your other datasets. Employ familiar SQL syntax to execute queries in NoSQL environments, allowing you to access data from both SQL and NoSQL databases using the same skill set. Consolidate your data to query and refine it into new sets, which you can then expose through APIs to support other applications and systems. Streamline your data stack setup without becoming overwhelmed by scripts and logs, and remove the complexities associated with building, managing, and maintaining ETL pipelines. This approach not only enhances efficiency but also empowers teams to focus on deriving insights rather than being bogged down by technical hurdles.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Agile CRM No 
AlloyDB No 
ClickUp No 
Docker Yes 
Drip No 
Egnyte No 
Google Ad Manager No 
Gorgias No 
IBM Cloud Data Shield No 
IBM Informix No 
Invoiced No 
Recurly No 
TaxJar No 
Teamwork Commerce No 
Typeform No 
ZarMoney No 
Zendesk No 
Zoho People No 
monday AI work platform No 

Integrations

Agile CRM Yes 
AlloyDB Yes 
ClickUp Yes 
Docker No 
Drip Yes 
Egnyte Yes 
Google Ad Manager Yes 
Gorgias Yes 
IBM Cloud Data Shield Yes 
IBM Informix Yes 
Invoiced Yes 
Recurly Yes 
TaxJar Yes 
Teamwork Commerce Yes 
Typeform Yes 
ZarMoney Yes 
Zendesk Yes 
Zoho People Yes 
monday AI work platform Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$1 per month
Free Trial Yes 
Free Version Yes 

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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

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

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/big-data/big-data-sql/

Vendor Details

Company Name

Peaka

Founded

2020

Country

United States

Website

www.peaka.com

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

Product Features

iPaaS

AI / Machine Learning No 
Cloud Data Integration No 
Dashboard No 
Data Quality Control No 
Data Security No 
Drag & Drop No 
Embedded iPaaS No 
Integration Management No 
Pre-Built Connectors No 
White Label No 
Workflow Management No 

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