GCPEvidence: Medium50/100

OkCredit digitized bookkeeping and credit lending platform using BigQuery

Use case typeRisk assessmentUpdated Jun 13, 2026

OkCredit is an Indian bookkeeping company for micro and small businesses that helps merchants manage credit accounts and record payments digitally. The company moved to Google Cloud to support growth, improve stability, and scale its platform for millions of monthly customers. It uses BigQuery to analyze transaction and behavior data for user insights and underwriting models that support lending services.

Organization
OkCredit
Industry
Finance
Location
India
Published
January 2024
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 52% increase

Google Cloud Customer StoryJan 1, 2024Customer storyInferred claimMedium evidence strength

Reported 52% year-on-year engagement growth between 2020 and 2021.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
OkCredit
Provider
GCP
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

  • 1Platform modernization
  • 2Analytics
  • 3Underwriting
  • Migrated containerized workloads to Google Kubernetes Engine.
  • Moved asynchronous processing to Google Cloud Pub/Sub.
  • Used BigQuery to store and analyze transaction and behavior data for insights and underwriting model development.
  • Relied on managed database automation and cloud infrastructure to reduce DevOps overhead.
  • By the end of 2021, the value of transactions recorded on the platform reached $50 billion.
  • Supports more than 2.7 million customers every month.
Architecture

OkCredit runs containerized workloads on Google Kubernetes Engine, uses Google Cloud Pub/Sub for asynchronous transaction messaging, stores and analyzes transaction and behavior data in BigQuery, and relies on managed database automation to reduce operational overhead.

Sources & evidence1
Evidence: Medium50/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Customer StoryPublished: Jan 1, 2024Publisher: Google CloudEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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