🇧🇷Brazil

Perda de Capacidade por Queries Customizadas Lentas

1 verified sources

Definition

No caso brasileiro da Quantatec, customizações customer-specific geraram alto volume de queries únicas, impactando performance de DB e experiência do cliente em escala (6M mensagens/dia).

Key Findings

  • Financial Impact: Queries de segundos para milissegundos; impacto em 10.000+ dispositivos e 1TB/ano de dados processados
  • Frequency: Diário em plataformas multi-tenant
  • Root Cause: Customizações hard-coded sem cache ou camada semântica

Why This Matters

The Pitch: Empresas de software embarcado no Brasil perdem performance equivalente a horas de desenvolvimento em queries lentas. Automação de camadas semânticas resolve isso.

Affected Stakeholders

Desenvolvedores Backend, Gerentes de Produto, Clientes Fleet Management

Deep Analysis (Premium)

Financial Impact

Financial data and detailed analysis available with full access. Unlock to see exact figures, evidence sources, and actionable insights.

Unlock to reveal

Current Workarounds

Financial data and detailed analysis available with full access. Unlock to see exact figures, evidence sources, and actionable insights.

Unlock to reveal

Get Solutions for This Problem

Full report with actionable solutions

$99$39
  • Solutions for this specific pain
  • Solutions for all 15 industry pains
  • Where to find first clients
  • Pricing & launch costs
Get Solutions Report

Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

Request Deep Analysis

🇧🇷 Be first to access this market's intelligence