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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 IBM DataStage?

Accelerate the development of AI innovations with the cloud-native data integration solutions provided by IBM Cloud Pak for Data. With AI-enhanced data integration functionalities available from any location, the impact of your AI and analytics initiatives is closely tied to the caliber of the underlying data. Leveraging a contemporary container-based framework, IBM® DataStage® within IBM Cloud Pak® for Data guarantees the provision of high-quality data. This offering combines exceptional data integration with DataOps, governance, and analytics into a cohesive data and AI ecosystem. By streamlining administrative processes, it contributes to a reduction in total cost of ownership (TCO). The platform's AI-driven design accelerators, in conjunction with readily available integrations for DataOps and data science services, significantly expedite the pace of AI development. Moreover, its capabilities for parallel processing and multicloud integration facilitate the delivery of consistent data across extensive hybrid or multicloud environments. Additionally, the IBM Cloud Pak for Data platform allows for the effective management of the complete data and analytics lifecycle, incorporating a range of services such as data science, event messaging, data virtualization, and data warehousing, all supported by a parallel engine and automated load balancing. This all-encompassing strategy equips your organization to remain at the forefront of the swiftly changing data and AI landscape, ensuring that you can adapt and thrive in a competitive market.

Media

Media

Integrations Supported

Integrations Supported

ActiveBatch Workload Automation
Control-M
FairCom DB
FairCom EDGE
IBM Cloud Pak for Applications
IBM Watson Studio
IRI FieldShield
MettleCI
Origina
Pantomath
Stonebranch

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Saras Analytics

Date Founded

2016

Company Location

India

Company Website

sarasanalytics.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/infosphere-datastage

Categories and Features

Data Management

Not specified

eCommerce Integration

Not specified

ETL

Not specified

Categories and Features

Big Data

Not specified

Data Integration

Not specified

Data Lineage

Not specified

Data Mapping

Not specified

Data Virtualization

Not specified

ETL

Not specified

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