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DataSet

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Software Status:Active

About DataSet

DataSet is a data analytics platform from SentinelOne that provides visibility across the entire data stack. It combines full-stack log analytics, a data lake, and custom data solutions so organizations can process data at any scale and time horizon. DataSet supports strong performance at a lower cost, making it suitable for various use cases. The platform also acts as an ELK replacement, simplifying data management and analysis. With its centralized solution, users can easily access and analyze their data to gain insights effectively. Key capabilities: full-stack log analytics data lake custom data solutions ELK replacement strong performance Best for: organizations that need comprehensive data analytics and visibility across their systems.

DataSet Details

Vendor
SentinelOne
Year Launched
2011
Location
444 Castro St, Suite 400, Mountain View, California 94041, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Chinese (Simplified), Chinese (Traditional), Japanese, Korean, Russian.
Users
Engineers, DevOps teams, IT professionals, Security analysts, Cloud operations teams, Infrastructure teams, Software developers, Data analysts, SREs (Site Reliability Engineers)
Industries Served
Technology, Software development, Cloud services, IT operations, Cybersecurity, Digital services, Data analytics, Enterprise infrastructure, E-commerce, SaaS companies
Tags
Data Analysis, Microsoft, Data Management, Data Visualization, Data Processing, Data Mining, Business Intelligence.

DataSet's In-App Market Place

Does DataSet have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (Fr), CNY (¥), SEK (kr), NZD (NZ$), KRW (₩)

Pros & Cons

  • Blazing Fast Performance: Rapid query execution on massive datasets.
  • Cost-Efficient Scale: Lower cost for petabyte-scale data and long-term retention.
  • Unified Data: Consolidates all logs into one central, schema-free platform.
  • Real-time Insights: Provides immediate answers from live data.
  • Feature Detail Lacking: Specific advanced features and integrations aren't fully detailed.
  • Proprietary Platform: Potential for vendor lock-in, typical of SaaS solutions.

DataSet's Support Options

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