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What is Saras Daton?

Saras Daton is an advanced ETL/ELT solution crafted specifically for omnichannel and ecommerce businesses, enabling teams to unify data from disparate sources into centralized cloud data repositories. Featuring over 200 pre-configured connectors, including some designed for niche ecommerce platforms, it supports custom transformations to meet the complex needs surrounding order histories, inventory management, marketing analytics, and additional commerce-related requirements. The platform adeptly handles incremental data extraction, schema mapping, historical data loads, and regular incremental updates, offering both batch processing and real-time capabilities. Through its use of parallel processing, it accommodates large data volumes, while checkpoints and retries bolster the dependability of data pipelines. Users benefit from table-level scheduling for multi-speed pipelines, and CRON scheduling allows them to customize replication frequencies, with certain sources achieving as little as 15-minute intervals. Moreover, its detailed loading and schema management features empower users to control data at both the table and column levels, employing strategies like append, upsert, or truncate-and-load to refine their data ingestion workflows. This all-encompassing strategy ensures that ecommerce enterprises can efficiently meet their data management needs while adapting to the ever-evolving landscape of commerce. By leveraging such capabilities, businesses can stay competitive and responsive in their data-driven decision-making processes.

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
Amazon Ads
Amazon DSP
Amazon Redshift
BigCommerce
Claude
Facebook Ads
Google Ads
Google Cloud BigQuery
Klaviyo
Loop
Mailchimp
Meta AI
Microsoft Teams
Shopify
Slack
Snowflake
Stripe
Yotpo
Zendesk

Integrations Supported

Oracle Cloud Infrastructure
Amazon Ads
Amazon DSP
Amazon Redshift
BigCommerce
Claude
Facebook Ads
Google Ads
Google Cloud BigQuery
Klaviyo
Loop
Mailchimp
Meta AI
Microsoft Teams
Shopify
Slack
Snowflake
Stripe
Yotpo
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

$1,999 per month
Free Version
Free Trial Offered?

Pricing Information

$0.04 per GB per hour
Free Version
Free Trial Offered?

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

United States

Company Website

www.sarasanalytics.com/saras-daton

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

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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