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What is Saras Analytics?

At Saras, we strive to make analytics and data science accessible to all types of businesses, especially small and medium-sized enterprises. Our innovative solutions eliminate the reliance on extensive engineering teams, allowing for a drastic reduction in the time it takes to gather and store vital data from various business areas such as marketing, analytics, and eCommerce. Experience hassle-free eCommerce reporting and actionable insights that are delivered straight to your hands, all achievable without any coding knowledge and set up in a mere five minutes! We tackle the challenges of final mile data by offering exceptional business intelligence, ETL development, and analytical services. As a flexible partner throughout the entire data life cycle, Saras Analytics provides pre-built reports and dashboards based on data collected through Daton, developed alongside leading growth experts from fast-growing startups. Common obstacles like report generation, tailored ETL solutions, and the need for data analysts can impede your progress; however, we equip you to navigate these challenges and regain your business momentum. Our mission is to empower your organization with the essential insights and tools necessary to flourish in an increasingly data-centric world, ensuring that you stay ahead of the competition. With our support, you can focus on what truly matters—growing your business.

What is Oracle Cloud Infrastructure Data Integration?

Easily extract, transform, and load (ETL) data for analytics and data science initiatives. Build smooth, code-free data streams aimed at data lakes and data marts. This feature is part of Oracle’s comprehensive suite of integration tools. The intuitive interface facilitates simple configuration of integration settings and automates the mapping of data across various sources and destinations. Users can take advantage of pre-existing operators, such as joins, aggregates, or expressions, to adeptly manipulate their datasets. Centralized management of workflows allows the use of parameters to modify specific configuration aspects during runtime efficiently. Users have the ability to prepare their data and see transformation outcomes in real-time, which aids in validating processes. Boost your efficiency and alter data flows instantly without having to wait for execution to finish. Furthermore, this solution effectively prevents disruptions in integration flows and reduces maintenance issues as data schemas evolve over time, guaranteeing a seamless data management experience. This functionality not only streamlines the integration process but also empowers users to concentrate on deriving insights from their data without the burden of technical obstacles, ultimately enhancing decision-making.

Media

Media

Integrations Supported

Oracle Cloud Infrastructure

Integrations Supported

Oracle Cloud Infrastructure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.04 per GB per hour
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

Saras Analytics

Date Founded

2016

Company Location

India

Company Website

sarasanalytics.com

Company Facts

Organization Name

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/integration/oracle-cloud-infrastructure-data-integration/

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

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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