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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

DataV stands out as an intuitive yet robust data visualization platform, incorporating geographic information systems that facilitate quick analysis of data to reveal connections, patterns, and trends. It boasts a user-friendly interface that enhances accessibility. By integrating dynamic dashboards, DataV allows for simultaneous presentation and tracking of business data. This data-centric methodology fosters organized data exploration and analysis, empowering users to uncover new prospects that may otherwise go unnoticed. It is ideal for showcasing business performance metrics in various contexts, including meetings with investors, press announcements, exhibitions, and quarterly evaluations. By harnessing data effectively, businesses can fuel their growth. Features like real-time monitoring of business and operational data provide early alerts, enabling swift action. Additionally, the capability to present multi-dimensional data live helps you recognize the true potential of data and ensure that no valuable opportunities slip away. Ultimately, leveraging DataV can transform how organizations interact with their data, leading to more informed decision-making.

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

$1.65 per month
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/datav

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

Apache Spark Reviews

Apache Spark

Apache Software Foundation
Amazon EMR Reviews

Amazon EMR

Amazon