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What is SAP BW/4HANA?

SAP BW/4HANA is a comprehensive data warehouse solution that harnesses the power of SAP HANA technology. As a key component of SAP’s Business Technology Platform for on-premise use, it enables the aggregation of enterprise data, creating a coherent and mutually accepted perspective across the organization. This system acts as a singular source for immediate insights, streamlining processes and encouraging innovation. By utilizing the advanced features of SAP HANA, this robust data warehouse allows organizations to fully realize the potential of their data, regardless of its origin, whether from SAP applications, external systems, or various data types, including unstructured, geospatial, or Hadoop-based content. Companies can revamp their data management strategies to boost efficiency and responsiveness, thus facilitating the implementation of real-time insights on a large scale, whether in an on-premise setting or via cloud solutions. Moreover, it promotes the digital transformation of various business sectors and integrates effortlessly with SAP’s digital business platform offerings. This holistic approach not only enhances decision-making but also drives significant improvements in operational effectiveness, positioning businesses for success in a data-driven landscape. Ultimately, organizations can harness the power of their data to innovate and thrive in today’s competitive environment.

What is Lyftrondata?

If you aim to implement a governed delta lake, build a data warehouse, or shift from a traditional database to a modern cloud data infrastructure, Lyftrondata is your ideal solution. The platform allows you to easily create and manage all your data workloads from a single interface, streamlining the automation of both your data pipeline and warehouse. You can quickly analyze your data using ANSI SQL alongside business intelligence and machine learning tools, facilitating the effortless sharing of insights without the necessity for custom coding. This feature not only boosts the productivity of your data teams but also speeds up the process of extracting value from data. By defining, categorizing, and locating all datasets in one centralized hub, you enable smooth sharing with colleagues, eliminating coding complexities and promoting informed, data-driven decision-making. This is especially beneficial for organizations that prefer to store their data once and make it accessible to various stakeholders for ongoing and future utilization. Moreover, you have the ability to define datasets, perform SQL transformations, or transition your existing SQL data processing workflows to any cloud data warehouse that suits your needs, ensuring that your data management approach remains both flexible and scalable. Ultimately, this comprehensive solution empowers organizations to maximize the potential of their data assets while minimizing technical hurdles.

Media

Media

Integrations Supported

Pyramid Analytics

Integrations Supported

Pyramid Analytics
Adform
Asana
Cloud Foundry
Copper
E*TRADE
Firebird
Freshdesk
Freshservice
Google Cloud Spanner
Google Contacts
IBM Cloud SQL Query
Magento
Quandl
Strategy ONE
SurveyMonkey
Trello

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/bw4hana-data-warehousing.html

Company Facts

Organization Name

Lyftrondata

Date Founded

2017

Company Location

United States

Company Website

lyftron.com

Categories and Features

Data Warehouse

Not specified

Categories and Features

Data Lake

Not specified

Data Pipeline

Not specified

Data Preparation

Not specified

Data Replication

Not specified

Data Virtualization

Not specified

Data Warehouse

Not specified

DataOps

Not specified

ETL

Not specified

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