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Compare Addepto vs DQO

Side-by-side comparison of features, pricing, services, ratings and more.

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Addepto Agency logo

Addepto

Data & Analytics Website

Addepto is an AI solution provider and big data expert company founded in 2017. It embeds itself in client business contexts to design, develop, and deploy AI systems that deliver measurable value. The company offers AI consulting, generative AI development, machine learning, and LLM development.

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DQO Agency logo

DQO

Data & Analytics Website

DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. Founded in 2020, DQO is headquartered in Warsaw, Poland.

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Feature Comparison

Attribute Addepto DQO
Category Data & Analytics Data & Analytics
Rating
Winner +5.0 higher
-
Location Warsaw, Poland Warsaw, Poland
Services
  • AI Consulting
  • Generative AI Development
  • Machine Learning
  • AI Discovery Workshop
  • LLMs Development
  • AI Knowledge Base Consulting
  • Data Engineering
  • AWS Services
  • Cognitive Computing AI
  • NLP AI
  • Robotics Process Automation
  • Big Data Analytics
  • Data Quality Monitoring
  • AI Consulting
  • Generative AI Development
  • Machine Learning
  • AI Discovery Workshop
  • LLMs Development
  • AI Knowledge Base Consulting
  • Data Engineering
  • AWS Services
  • Cognitive Computing AI
  • NLP AI
  • Robotics Process Automation
  • Big Data Analytics
  • Data Quality Monitoring
Industries
Manufacturing Automotive Transportation & Logistics Retail Legal Insurance Finance
FMCG Public Health
Pros
  • Professional and collaborative recruitment process
  • Supportive work environment with development opportunities
  • Highly motivated and professional team
  • Embedded approach to client business context and knowledge transfer
  • Open-source platform with over 150 built-in data quality checks and support for custom checks
  • DevOps-friendly with YAML-based definitions in Git, pipeline execution, and a Python client
  • Deployable locally or as a SaaS platform
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