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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Dataphin is crafted to assist users in developing and overseeing intelligent, cohesive data assets while fostering innovation. It serves as a comprehensive all-in-one platform that encompasses data integration, warehouse modeling, identity and profile creation, asset management, and various data services. Through Dataphin's integration capabilities, users can consolidate their organization’s data assets from diverse computing and storage environments, utilizing warehousing services to streamline the design and development of data warehouses. Additionally, the distilling service allows users to generate detailed profiles for uniquely identifiable business entities, including customers and products. The asset management feature oversees the entire spectrum of the organization’s data assets, enabling users to effortlessly search for information, ensure optimal data application performance, and analyze data costs for better management. Furthermore, Dataphin’s data service module includes a query interface and APIs that facilitate analytics and support a variety of SaaS-based data applications, enhancing overall user experience and operational efficiency. With its multifaceted capabilities, Dataphin empowers businesses to harness their data assets effectively and drive innovation forward.

Description

IBM Analytics for Apache Spark offers a versatile and cohesive Spark service that enables data scientists to tackle ambitious and complex inquiries while accelerating the achievement of business outcomes. This user-friendly, continually available managed service comes without long-term commitments or risks, allowing for immediate exploration. Enjoy the advantages of Apache Spark without vendor lock-in, supported by IBM's dedication to open-source technologies and extensive enterprise experience. With integrated Notebooks serving as a connector, the process of coding and analytics becomes more efficient, enabling you to focus more on delivering results and fostering innovation. Additionally, this managed Apache Spark service provides straightforward access to powerful machine learning libraries, alleviating the challenges, time investment, and risks traditionally associated with independently managing a Spark cluster. As a result, teams can prioritize their analytical goals and enhance their productivity significantly.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud Yes 
Apache Spark No 
RadiantOne No 
Switch Automation No 

Integrations

Alibaba Cloud No 
Apache Spark Yes 
RadiantOne Yes 
Switch Automation Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version 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 

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 No 

Types of Training

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

Vendor Details

Company Name

Alibaba Cloud

Founded

2008

Country

China

Website

www.alibabacloud.com/product/dataphin

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/

Product Features

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Integration

Dashboard No 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

Alternatives

Alternatives

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