Big Data Projects

Total Cost of Ownership (TCO) Comparison


Calculating the total cost of ownership of a big or streaming data project may not be easy. It should include hardware, software and manpower costs, while taking into account the project’s size and the cost fluctuations at the different stages of the project. Here's a general outline of big data projects' milestones, estimated costs and time-frames.



Upsolver's Impact on
Big Data Projects' TCO



With Upsolver
Without Upsolver

Project Size


Without Upsolver

Small Project

Medium Project

Big Project

Time to stable implementation: Weeks - Months Months - Year Year - Years

Project's TCO: $150,000 - $300,000 / Year $300,000 - $700,000 / Year $700,000 - $2,000,000 + / Year


Taken Into Account:


Required Infrastructure:

  • Amazon S3
  • Hadoop/Spark
  • Key-Value Store
  • Data Lake Management

Required Manpower:

  • Analytics Users
  • Big Data Engineers
  • DevOps


With Upsolver

Small Project

Medium Project

Big Project

Time to stable implementation: Hours - Days Days - Week Week - Month

Project's TCO: $25,000 - $60,000 / Year $60,000 - $150,000 / Year $150,000 - $300,000 + / Year


Taken Into Account:


Required Infrastructure:

  • Amazon S3
  • Upsolver

Required Manpower:

  • Analytics Users


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Architecture Comparison

With Upsolver

  • No coding or ETL bottlenecks
  • No IT overhead
  • Low storage costs using S3
  • One click to replay data from S3


Upsolver Architecture

Without Upsolver

  • Lengthy processes & pre-planning
  • Multiple products and integrations
  • ETL and data engineering are a bottleneck
  • Replay historical data is very hard
  • High storage costs in databases


Spark / Hadoop Architecture



Upsolver VS Spark/Hadoop



Upsolver Upsolver
IMPLEMENTATION TIME Months Minutes
REQUIRED SKILLS Code Drag & Drop
INDEXING Requires Additional Key-value Store Included (Out-of-the-box)
DATA MODEL RDDs Hierarchical
MAINTENANCE On-going (Both for cloud & on-prem) Not Required
WINDOWING Limited To Raw Data In-mem Unlimited Using S3
SPEED - 10x Faster


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