Transform your business through streaming data analytics and AI

Streaming Data Platform is an end-to-end solution that enables real-time data analytics. The solution provides data-rich businesses with data analytics capabilities to power their day-to-day operations, enterprise reporting, and decision-making. It helps improve the performance across finance, marketing, supply chain, and customer service business functions. The solution is widely applicable in Healthcare, Entertainment, Retail & eCommerce, ISV, and Internet businesses.

Apart from data analytics value, the solution serves as a foundational service for machine learning to enable artificial intelligence (AI) solutions. Among the AI use cases that the Streaming Data Platform solution helps enable are personalized product recommendations, proactive customer support, media sentiment analysis.


AWS Partner Network | Competency


United States


Cloud-native solution 

Converts expensive, outdated infrastructure into a modern and efficient cloud platform

Unified architecture 

Combines data services and microservices for online real-time queries

Consolidated data pipelines 

Improves scalability in the cloud for real-time analysis

Streaming-first architecture 

Powers and provides governance for a data lake ecosystem

  • How it works
  • Key activities
  • Customer contribution
  • About this consultant
  • Architecture diagram
  • How it works
  • Streaming Data Platform is a unified solution that enables real-time data analytics. The streaming-first architecture powers and provides governance for a data lake ecosystem. This solution consolidates data pipelines and improves scalability in the cloud for real-time analysis. It accelerates time-to-market for data analytics products and mitigates technology risks.

    The Streaming Data Platform is delivered as an AWS CloudFormation template. Please see the referenced architecture diagram to understand how it works and what AWS services are being used.

  • Key activities
  • 1) Discovery workshop

    Take part in a workshop to determine the current state of data pipelines; identify the requirements

    2) TCO estimation

    Estimate and optimize the total cost of ownership based on the projected volume growth of data 

    3) Proof of value

    Roll out PoC and scale in real time to determine the output and fine-tune to achieve predefined KPIs 

    4) Productionalization

    Deploy and integrate the solution with existing applications and processes; provide How-To training

  • Customer contribution
  • Assign team

    Assign a dedicated technical team to support the initiative

    Grant access 

    Provide access to infrastructure, data sources, and AWS account

    Allocate data 

    Allocate a safe-for-work dataset to experiment with at the PoC stage

  • About this consultant
  • Artificial Intelligence consultancy and solutions provider, Provectus drives AI transformation reimagining the way businesses operate, compete, and deliver customer value. Combining strategic vision and technical expertise, Provectus helps organizations adopt the right AI use cases helping businesses achieve their objectives through AI. We help companies start small and scale AI beyond a few experimental cases, incorporate AI on top of their existing products, and introduce AI organization-wide. Provectus is an AWS Partner with Data & Analytics, DevOps, and Machine Learning Competencies.

  • Architecture diagram
  • This architecture diagram maps out the tech stack required for this solution.

    This technology is available for self-deployment as an AWS Solutions Implementation. For details, click here.

     Click to enlarge

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Provectus’s AWS validated qualifications, customer references, and office locations.

AWS Competency Details

Provectus has demonstrated deep AWS technical expertise and proven customer success.

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