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Big Data Projects

Total Cost of Ownership (TCO) Comparison


Calculating the total cost of ownership of a big or streaming data project isn't easy. It should include hardware, software and manpower costs, while taking into account the project’s scope and the cost fluctuations throughout its lifecycle. Here's a general outline of milestones, estimated costs and time-frames for a big data project developed using Spark Streaming, versus one that's based on an Data Lake solution powered by Upsolver.



Upsolver's Impact on a
Big Data Project’s 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
  • Replaying 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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