Who Uses This Software?
Companies within the Global 8,000 (typically with revenues above $1B US annually. These companies tend to have the most data and have initiatives focused on using that data to improve decision making.
Average Ratings
3 Reviews-
Overall
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Ease of Use
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Customer Service
Product Details
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Starting Price$4,000.00/year
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Pricing DetailsPer node pricing. Hourly pricing also available.
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DeploymentCloud, SaaS, Web
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TrainingDocumentation
Webinars
Live Online
In Person
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SupportOnline
Business Hours
24/7 (Live Rep)
Vendor Details
- Cloudera
- www.cloudera.com
- Founded 2008
- United States
About Cloudera Enterprise
Cloudera helps businesses use data to make what's impossible today possible tomorrow. We empower people to transform complex data into clear and actionable insights. The worlds largest enterprises trust Cloudera to help solve their most challenging business problems, from driving customer insights, to connecting products and services, to reducing business risk.

Cloudera Enterprise Features
- Ad hoc Analysis
- Ad hoc Query
- Ad Hoc Reports
- Benchmarking
- Budgeting & Forecasting
- Dashboard
- Data Analysis
- Data Visualization
- Key Performance Indicators
- OLAP
- Performance Metrics
- Predictive Analytics
- Profitability Analysis
- Strategic Planning
- Trend / Problem Indicators
best analytical tool for big data
All in one


Likely Extremely
Likely
Pros: All Big data environments (Hadoop, HBase, Mahout, PIG) are pre installed here
Cons: The options it provides, it makes sense that the software is heavy weighted.
Good tool to use for de-duping

Likely Extremely
Likely
Comments: Got a reference from a former employee as it was big issue. We implemented it in no time and got it running. Both marketing and Sales Opes are using it to dedupe Contacts and accounts
Pros: This tool is very fast and simple. for big data it is very fast and very secure. Most data science solutions can be solved using this tool. large analytics algorithms can be implemented using this tool.
Cons: for beginners this tool may create problem in getting started beacause the use cases are not well defined and can be documented in more detailed manner.