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Shift your work into a single, connected environment with Google Workspace, where Gmail, Docs, Sheets, and Meet operate together in a single system. Keep your work structured and accessible from anywhere without gaps in communication or execution.

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Google Workspace

Choose the Right Google Workspace Plan for Your Business

Compare G Suite Pricing | Buy Google Workspace | Expert Help from Miracle

Review Google Workspace plans based on your business needs, storage, meeting capacity, and security features. Get clear pricing and a complete view of plan options before moving forward with expert-led support.

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Business Starter
$7
/ user / month, billed annually
  • Professional email using your domain
  • 100-participant video meetings
  • 30 GB storage per user
  • Basic security and admin controls
  • 1-year commitment with fixed-term contract
Select This Plan
Business Plus
$22
/ user / month, billed annually
  • Email with retention and search tools
  • 500-participant video meetings
  • 5 TB storage per user
  • Advanced security and admin controls
  • 1-year commitment with fixed-term contract
Select This Plan
Enterprise
Contact sales for pricing, annual commitment
  • Email with advanced security and compliance
  • 500-participant video meetings
  • Storage based on business needs
  • Advanced compliance and visibility tools
  • Contract-based commitment with annual terms
Select This Plan

Google Workspace Applications

Gmail
Meet
Chat
Calendar
Drive
Docs
Sheets
Slides
Vids
Forms
Sites
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Frequently Asked Questions

Yes, you can upgrade your plan during the contract as your needs change. However, downgrades are applied only at renewal and not during the active term

You can add users at any time during the contract, allowing your team to grow steadily over time. These additional licenses are billed at the same agreed-upon plan rate

During the term, all purchased licenses remain active for the full contract period, as the commitment is fixed. Any reduction in licenses takes effect only at the time of renewal

Miracle transfers your email, files, and user data from your current platforms, ensuring continuity. This approach keeps your teams working without disruption during the transition

After setup, Miracle assists with user management, access updates, and issue resolution as part of ongoing support. This helps maintain stability as your teams continue to use the platform

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A Real-time Looker Dashboard for Covid-19 Contact Tracing

Cognitive Computing
Business Challenge

Our customer is a leading healthcare service agency that conducts investigations and contact tracing for thousands of patients each day.

They were overwhelmed with managing COVID-19 case investigations and looking for a real-time dashboard to investigate all the COVID-19 case details, conduct comprehensive interviews, and provide education on self-care, wellness, and isolation.

Our Solution
  • To build a real-time interactive Looker dashboard for contact tracing, integrate applications, and enable investigators to access specific data with a Single Sign-On
  • To implement contact tracing functionality that allows state investigators to trace down the information on the Covid cases
  • To create an inbuilt functionality using cloud functions and other APIs to track patient Covid-19 details, reassign cases, send reminder notifications, and the required education links
Customer Benefits
  • Achieved 90% successful questionnaire delivery rate
  • Reduction of 2 operations hours per day
  • Less manual or human intervention or support
Technology Scope
  • Google Cloud - Cloud Storage, BigQuery, Pub/Sub, Dataflow, Cloud SQL, Cloud Function, Cloud Run, Looker, Looker Studio

Real-time streaming data ingestion for Automobile Manufacturers using Cloud services

Could Applications
Business Challenge

Our customer is an Automobile Manufacturer, were planning to use machine learning models to identify issues before moving to manufacture and reduce costs.

They were looking to build a streaming data ingestion pipeline based on an event-driven architecture to ingest the test bench data.

Our Solution
  • Build an event-based data pipeline using streaming data with Dialog Flow and Google Pubsub
  • Architect a fail-safe solution to collect unprocessed files and create a safety net for the initial data pipeline
  • Use cloud storage as a data sink and cloud storage events as event triggers for various data flow jobs
  • Automate pipeline deployments for infrastructure setup using Cloud Build and Terraform
  • Ensure security and access control using service accounts
Customer Benefits
  • Provided cloud-based infrastructure to test data, auto-detect anomalies, predict defects, and quickly analyze large amounts of test data within 15 mins
  • Removed dependency of existing 3rd party tool by adding transformation logic in Cloud dataflow
  • Streamlined millions of test data to achieve near real-time anomaly detection before it leaves transmission plant and save customer’s funds provided for Claims redemption
Technology Scope
  • Python, Google Dataflow, BigQuery, Cloud Storage, Terraform, and Cloud Build

BigQuery Automated Audit Framework (BQAAF) for Data Extraction

Cloud Applications
Business Challenge

Our customer is the largest insurance company facing challenges with the fast-growing Data Lake in extracting insights from BigQuery and Cloud Storage Buckets.

They were having multiple Data Lake Environments and needed assistance in designing an event alert system to send email notifications for critical events. Also, they were looking for an operational dashboard to display audit KPIs and insights.

Our Solution
  • To develop a metrics extraction engine using Cloud Functions and Cloud Pub/Sub, an email notification system using Cloud Function, and an operational dashboard using Data Studio dashboard
  • To create schemas for storing audit data, deploy Cloud Functions, and orchestrate Cloud Scheduler automation for the execution of Cloud Functions
  • To design a Data Studio dashboard for BigQuery and Cloud Storage Bucket metrics that cover,
    • To create a detailed report of the entire data lake
    • Use the BigQuery log sink,
      • Delete events occurred in the data lake
      • Query logs in the data lake
  • Metrics Extraction Engine - Fetch the record from the configuring projects and store it in central BigQuery
  • Event Alerting System - Notifies users via email on critical events such as table/view deletion
Customer Benefits

Through the implementation of the framework, the customer achieved some of the following benefits,

  • Monitor the BigQuery and Cloud Storage Bucket resources on a daily basis
  • Automatically collects data, aggregates, and displays on Data Studio dashboards that are only available to the administrative stakeholders
Technology Scope
  • Google Cloud Services - BigQuery, Data Studio, Cloud Functions with NodeJS

Thought Leadership