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Google Cloud Software / SaaS United States

Thinknum

IT Operations Automation · Real-time Analytics · System Migration

60% decrease in cloud-related IT costs 80% decrease in IT management time

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60% decrease in cloud-related IT costs
60% lower costs, 80% less IT admin time
80% decrease in IT management time
<1 month to migrate 15TB third-party database to BigQuery and AlloyDB

Reported impact

Business outcome

60% decrease in cloud-related IT costs; 80% decrease in IT management time; <1 month to migrate IT infrastructure to Google Cloud; <1 month to migrate 15TB third-party database to BigQuery and AlloyDB.

  • Cost Reduction
  • Productivity Improvement
  • Revenue Growth
  • Risk Reduction

Solution

Google Cloud is also instrumental to Thinknum's platform development: Engineers leverage Cloud Run for running proprietary code on Google Cloud, Gemini Code Assist to help speed up coding, and Cloud Build for developing, testing, and deploying new features. Gemini also played a critical role in the migration. Google Cloud in-console AI tools were used to optimize database queries by examining two months of database activity, then suggesting tweaks to the SQL queries that power Thinknum's analytics capabilities. "As our datasets grow, query response time tends to increase," Spiwak explains. "Gemini helped us accelerate platform response times without adding to processing or compute costs." Thinknum's IT infrastructure, which had been built in-house and relied on a third-party database and out-of-date operating system, was maintenance-intensive.

Data flow

stored or unified in BigQuery, AlloyDB, orchestrated via Gemini Code Assist, Cloud Build, and surfaced through Gemini, Cloud Run

Solution architecture

6 components · 3 layers
  1. Storage
    • BigQuery Stores and queries the analytics and AI-ready datasets that power the workload.
    • AlloyDB Stores transactional and analytical application data in a managed PostgreSQL-compatible database.
  2. Serving
    • Gemini Powers natural-language reasoning, summarization, generation, or assistance inside the workflow.
    • Cloud Run Runs application services and proprietary code in a managed container environment.
  3. Orchestration
    • Gemini Code Assist Speeds software delivery by assisting engineers with code changes and development tasks.
    • Cloud Build Automates build, test, and deployment workflows for engineering teams.

Architecture clues

  • 60% decrease in cloud-related IT costs
  • <1 month to migrate 15TB third-party database to BigQuery and AlloyDB
  • <1 month to migrate IT infrastructure to Google Cloud
  • A migration assisted by Gemini
  • Entire IT infrastructure, data platform, and third-party database migrated to Google Cloud in under two months.
  • To flatten the learning curve that comes with any new system, Thinknum engineers used Gemini to provide guidance on best practices for Google Cloud security and maintenance procedures.

Evidence from the source

60% decrease in cloud-related IT costs
80% decrease in IT management time
<1 month to migrate 15TB third-party database to BigQuery and AlloyDB
<1 month to migrate IT infrastructure to Google Cloud
Entire IT infrastructure, data platform, and third-party database migrated to Google Cloud in under two months.
Transparency Evidence & methodology 82/100 reference value · 79% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value82/100
  • Problem clarity12/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    6 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Google Cloud

    Thinknum customer story

    First-party
    https://cloud.google.com/customers/thinknum
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Feb 3, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Jan 19, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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