BlueData

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About BlueData

BlueData is a software platform from HPE (Hewlett Packard Enterprise) aimed at simplifying container-based data analytics. It provides capabilities such as integrations with existing data sources, support for multiple data workloads, and a user-friendly management interface, enabling organizations to quickly deploy and manage analytics applications. BlueData helps users to use AI and container technology for better insights and decision-making. Additionally, it integrates with HPE GreenLake services, allowing businesses to scale resources flexibly based on their needs. Key capabilities: container orchestration data visualization workload management multi-cloud support security compliance Best for: data analysts and IT professionals that need to deploy and manage analytics workloads efficiently.

BlueData Details

Vendor

HPE (Hewlett Packard Enterprise)

Year Launched

Location

2105 S. Bascom Ave., Suite 375, Campbell, CA 95008, United States

Deployment

Training Options

demo, account manager, community

Countries Served

All Countries

Languages

English, Spanish, French, German, Italian, Dutch, Portuguese, Japanese, Chinese

Users

Data Analysts, Data Scientists, IT Administrators, Data Engineers, Business Analysts, Developers.

Industries Served

Healthcare, Education, Finance, Retail, Manufacturing, Telecommunications, Government, Energy, Automotive, Technology

BlueData's In-App Market Place

Does BlueData have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

1. BlueData EPIC WAF: Web Application Firewall (WAF) add-on for BlueData EPIC platform which provides protection against various web-based threats and attacks.

2. BlueData EPIC NLP: Natural Language Processing (NLP) add-on for BlueData EPIC platform which enables advanced text analysis and language understanding capabilities.

3. BlueData EPIC ML: Machine Learning (ML) add-on for BlueData EPIC platform which allows users to build and deploy machine learning models for data analysis and predictions.

Pricing Options

Free trial

Free version

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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (¥), SEK (kr), ZAR (R), INR (₹)

Pros & Cons

Simplifies the deployment and management of big data infrastructure
Enables faster time to insights by accelerating data analytics
Offers flexibility to run big data workloads on-premises or in the cloud
Provides a scalable platform to handle large amounts of data efficiently
Increases productivity by automating tasks related to data processing and analysis.

Requires technical expertise to set up and configure properly
Limited support for certain third-party applications and tools
Can be expensive for smaller organizations or startups
Some users have reported performance issues with large-scale data processing tasks
Steep learning curve for new users, especially those unfamiliar with big data technologies