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Average Ratings 0 Ratings

Total
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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud
Apache Spark
RadiantOne
Switch Automation

Integrations

Alibaba Cloud
Apache Spark
RadiantOne
Switch Automation

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Science

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

Integration

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

Alternatives

Alternatives

Apache Spark Reviews

Apache Spark

Apache Software Foundation
Amazon EMR Reviews

Amazon EMR

Amazon