Cloudera Enterprise

0(0 reviews)

Software Status:Active

About Cloudera Enterprise

Cloudera Enterprise is a data and AI platform from Cloudera that brings AI to data wherever it resides: in clouds, data centers, or at the edge. It combines scalable and secure data management, portable cloud-native data services, and enterprise AI acceleration so organizations can use data more effectively. Cloudera Enterprise supports global industry leaders in accessing data’s potential and driving advancement. The platform includes features that enable users to deliver cloud capabilities anywhere, ensure data accessibility, and accelerate AI initiatives across enterprises. Key capabilities: Driving advancement Deliver Cloud Anywhere access Data Anywhere Accelerate Enterprise AI enabling People Best for: enterprises that need reliable data management and AI solutions across diverse environments.

Cloudera Enterprise Details

Vendor

Cloudera

Year Launched

2008

Location

Corporate Headquarters 5470 Great America Pkwy, Santa Clara, California 95054, US

Deployment

cloud

Training Options

documentation, videos, live online, in person

Countries Served

All Countries

Languages

English, Spanish, French, German, Italian, Polish, Portuguese, Korean, Chinese, Japanese

Users

Chief Data Officers, Data Practitioners, Data Scientists, Business Analysts, AI/ML Engineers

Industries Served

Financial Services, Telecommunications, Public Sector, Energy and Utilities, Insurance, Manufacturing, Healthcare & Life Sciences

Cloudera Enterprise's In-App Market Place

Does Cloudera Enterprise have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

Request a quote

Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$)

Pros & Cons

Comprehensive Data Platform: Offers a comprehensive suite of tools for data ingestion, storage, processing, and analysis.
Scalability: Handles large-scale datasets and can scale to meet growing business needs.
Security and Compliance: Provides robust security features to protect sensitive data.
Active Community and Support: Benefits from a large and active community and strong vendor support.
Integration Capabilities: Integrates with various data sources and tools.
Advanced Analytics: Enables advanced analytics, machine learning, and AI applications.

Complex Setup and Management: Requires significant technical expertise and resources for deployment and management.
High Hardware Requirements: Demands substantial hardware resources, especially for large-scale deployments.
Steep Learning Curve: Can have a steep learning curve, especially for users new to big data technologies.