• BENEFITS FOR DATA SCIENCE
  • Train and test machine learning systems with real user activity
  • Conduct agile, iterative studies on live production systems
  • Reduce costs for data exploration, preparation and modeling
  • BENEFITS FOR DEVOPS
  • Find state-dependent or transient bugs affecting real users
  • Monitor production systems for recurrence of prior problems
  • Reduce time spent on customer escalations, reproducing failures
  • DATABASE FEATURES
  • Auto-generated schemas for all tables, including aggregates
  • Logging rules for filtering data and detecting user consent
  • Requests linked within user sessions or across repeat visits
  • Pre-optimized functions and indexes for SQL queries
  • Open-source loggers for Java, Python, Node.js and Ruby
  • MANAGED DEPLOYMENTS
  • Private hosted databases for AWS, Heroku and Azure
  • Dedicated infrastructure with data protections by default

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