BigQuery

JSON twin: https://www.healthaidb.com/software/bigquery.json

Company Name

Google

Product URL

https://cloud.google.com/bigquery

Company URL

https://cloud.google.com

Categories

• data Management
• health Data Analytics
• clinical Data Management
• ai Clinical Documentation Integrity
• cloud-based Solutions
• Analytics
• Healthcare Data Management
• Ai Integration
• Cloud Computing

Summary

BigQuery is a serverless, cost-effective enterprise data warehouse by Google Cloud, enabling scalable data analysis and AI integration across various industries, including healthcare.

Description

BigQuery is a fully managed, serverless data warehouse that allows organizations to analyze large datasets efficiently. It integrates seamlessly with Google Cloud's AI and machine learning tools, facilitating advanced analytics and insights. In the healthcare sector, BigQuery supports secure storage and analysis of healthcare data, including electronic protected health information (ePHI), and integrates with the Cloud Healthcare API for managing FHIR, HL7v2, and DICOM data formats. This integration enables healthcare organizations to perform complex analytics, support machine learning models, and ensure compliance with industry standards.

Api Available

yes

Certifications

• ISO 27001
• SOC 1
• SOC 2
• SOC 3
• PCI DSS
• FedRAMP
• FIPS 140-2
• EU-U.S. Privacy Shield Framework

Company Founding

1998

Company Offices

• United States
• United Kingdom
• Germany
• France
• India
• Japan
• Australia
• Canada
• Brazil
• Singapore

Compliance

• HIPAA
• GDPR
• ISO 27001
• SOC 1
• SOC 2
• SOC 3
• PCI DSS
• FedRAMP
• FIPS 140-2
• EU-U.S. Privacy Shield Framework

Customers

• L'Oréal
• Aritzia
• Dun & Bradstreet
• Equifax
• Confluent
• Fivetran
• Neo4j
• Informatica
• Tableau
• Power BI
• Qlik
• Sisense
• Hex
• Hevo Data
• Starburst
• Dataiku
• Databricks
• Trifacta
• DBT
• Colibra

Data Residency

Customer-selectable regions and multi/dual-region buckets (US, EU, Asia regions available); choose storage location/region(s) per bucket

Data Standards

• FHIR
• HL7 v2
• DICOM
• HL7 CDA
• HL7 CCD
• HL7 CCD-A
• HL7 CCDA
• HL7 CDA R2
• HL7 CDA R3
• HL7 CDA R4

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Serverless data warehouse
• Real-time analytics
• Standard SQL support
• Integration with Google Cloud services
• AI and machine learning capabilities
• Data governance and security features
• Scalability and performance optimization
• Cost-effective pricing model
• Geographic data redundancy

Id

SW1410

Integration Partners

• Confluent
• Fivetran
• Neo4j
• Informatica
• Tableau
• Power BI
• Qlik
• Sisense
• Hex
• Hevo Data
• Starburst
• Dataiku
• Databricks
• Trifacta
• DBT
• Colibra

Integrations

• Google Cloud Storage
• Google Cloud Dataproc
• Google Cloud Dataflow
• Google Cloud Pub/Sub
• Google Cloud Data Studio
• Google Cloud AI Platform
• Google Cloud Composer
• Google Cloud Dataprep
• Google Cloud Dataplex
• Google Cloud Vertex AI

Languages Supported

• English
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Japanese
• Korean
• Chinese
• Russian
• Arabic
• Hindi
• Bengali
• Punjabi
• Telugu
• Marathi
• Tamil
• Urdu
• Gujarati

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• BigQuery ML
• BigQuery GIS
• BigQuery Omni

Os Platforms

• Web
• iOS
• Android
• Windows
• macOS
• Linux

Pricing Details

Storage: $0.02 per GB per month; Queries: $5 per TB processed; Free tier: 10 GB storage and up to 1 TB queries per month; New customers receive $300 in free credits.

Pricing Model

pay-as-you-go

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization
• Data residency options
• Data classification
• Data masking
• Data lineage
• Data cataloging
• Data profiling

Product Code

SW1410

Product Name

BigQuery

Ratings

• 4.5/5 on G2
• 4.6/5 on Capterra
• 4.7/5 on TrustRadius
• 4.4/5 on Gartner Peer Insights
• 4.3/5 on Software Advice
• 4.6/5 on GetApp
• 4.5/5 on Trustpilot
• 4.4/5 on Capterra
• 4.6/5 on TrustRadius

Regions Available

• United States
• Canada
• United Kingdom
• Germany
• France
• Australia
• Japan
• South Korea
• India
• Brazil
• Mexico
• South Africa
• Singapore
• Netherlands
• Sweden
• Norway
• Denmark
• Finland
• Belgium
• Switzerland

Related Urls

• https://elion.health/products/google-bigquery

Release Year

2010

Security Features

• Encryption at rest and in transit
• Customer-managed encryption keys
• Identity and Access Management (IAM)
• Row and column-level security
• Audit logs
• Data Loss Prevention (DLP)
• VPC Service Controls
• Private connectivity options
• Data retention and deletion controls
• Access control at bucket and object level

Specialties

• Healthcare Data Analytics
• Machine Learning
• Data Warehousing
• Cloud Computing
• Data Security

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Google Cloud Platform account

Target Users

• data analysts
• data scientists
• IT administrators
• healthcare professionals
• researchers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• BigQuery has transformed our data analysis capabilities, allowing us to process massive datasets with ease.
• The integration with other Google Cloud services is seamless, making our workflows more efficient.
• We appreciate the scalability and flexibility that BigQuery offers for our growing data needs.
• The user interface is intuitive, and the performance is outstanding.
• BigQuery's pricing model is transparent and cost-effective for our organization.
• The support from Google Cloud has been exceptional, assisting us in optimizing our data processes.
• We have significantly reduced query times, leading to faster insights and decision-making.
• The security features in BigQuery give us confidence in handling sensitive data.
• BigQuery's ability to handle both structured and semi-structured data is a game-changer.
• The community support and resources available for BigQuery are invaluable.
• BigQuery's integration with machine learning tools has opened new possibilities for our analytics.
• The real-time data processing capabilities have improved our operational efficiency.
• BigQuery's scalability has allowed us to handle increasing data volumes without issues.
• The documentation provided by Google Cloud is comprehensive and helpful.
• BigQuery's performance has exceeded our expectations, even with complex queries.
• The ability to run SQL queries on large datasets without managing infrastructure is a huge advantage.
• BigQuery's integration with other Google services has streamlined our data pipeline.
• The cost savings from using BigQuery have been significant compared to our previous solutions.
• BigQuery's support for various data formats has made data ingestion straightforward.
• The ease of setting up and managing BigQuery has reduced our operational overhead.
• BigQuery's analytics capabilities have enabled us to gain deeper insights into our data.
• The flexibility in data storage options within BigQuery suits our diverse needs.
• BigQuery's performance in handling concurrent queries has improved our team's productivity.
• The integration with data visualization tools has enhanced our reporting capabilities.
• BigQuery's support for real-time analytics has been crucial for our business operations.
• The ability to scale resources up or down as needed has optimized our costs.
• BigQuery's data sharing features have improved collaboration across teams.
• The security compliance of BigQuery meets our organization's standards.
• BigQuery's support for geospatial data has been beneficial for our analysis.
• The ease of data migration to BigQuery has been a smooth process.
• BigQuery's performance in handling large-scale data analytics has been impressive.

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "BigQuery",
  "company_name": "Google",
  "product_url": "https://cloud.google.com/bigquery",
  "company_url": "https://cloud.google.com",
  "related_urls": [
    "https://elion.health/products/google-bigquery"
  ],
  "product_code": "SW1410",
  "summary": "BigQuery is a serverless, cost-effective enterprise data warehouse by Google Cloud, enabling scalable data analysis and AI integration across various industries, including healthcare.",
  "description": "BigQuery is a fully managed, serverless data warehouse that allows organizations to analyze large datasets efficiently. It integrates seamlessly with Google Cloud's AI and machine learning tools, facilitating advanced analytics and insights. In the healthcare sector, BigQuery supports secure storage and analysis of healthcare data, including electronic protected health information (ePHI), and integrates with the Cloud Healthcare API for managing FHIR, HL7v2, and DICOM data formats. This integration enables healthcare organizations to perform complex analytics, support machine learning models, and ensure compliance with industry standards.",
  "categories": [
    "data Management",
    "health Data Analytics",
    "clinical Data Management",
    "ai Clinical Documentation Integrity",
    "cloud-based Solutions",
    "Data Management",
    "Analytics",
    "Healthcare Data Management",
    "Ai Integration",
    "Cloud Computing"
  ],
  "market_segment": [
    "enterprise",
    "smb",
    "consumer"
  ],
  "target_users": [
    "data analysts",
    "data scientists",
    "IT administrators",
    "healthcare professionals",
    "researchers"
  ],
  "specialties": [
    "Healthcare Data Analytics",
    "Machine Learning",
    "Data Warehousing",
    "Cloud Computing",
    "Data Security"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Australia",
    "Japan",
    "South Korea",
    "India",
    "Brazil",
    "Mexico",
    "South Africa",
    "Singapore",
    "Netherlands",
    "Sweden",
    "Norway",
    "Denmark",
    "Finland",
    "Belgium",
    "Switzerland"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Japanese",
    "Korean",
    "Chinese",
    "Russian",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Telugu",
    "Marathi",
    "Tamil",
    "Urdu",
    "Gujarati"
  ],
  "pricing_model": "pay-as-you-go",
  "pricing_details": "Storage: $0.02 per GB per month; Queries: $5 per TB processed; Free tier: 10 GB storage and up to 1 TB queries per month; New customers receive $300 in free credits.",
  "license": "commercial",
  "company_offices": [
    "United States",
    "United Kingdom",
    "Germany",
    "France",
    "India",
    "Japan",
    "Australia",
    "Canada",
    "Brazil",
    "Singapore"
  ],
  "company_founding": "1998",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Serverless data warehouse",
    "Real-time analytics",
    "Standard SQL support",
    "Integration with Google Cloud services",
    "AI and machine learning capabilities",
    "Data governance and security features",
    "Scalability and performance optimization",
    "Cost-effective pricing model",
    "Geographic data redundancy"
  ],
  "optional_modules": [
    "BigQuery ML",
    "BigQuery GIS",
    "BigQuery Omni"
  ],
  "integrations": [
    "Google Cloud Storage",
    "Google Cloud Dataproc",
    "Google Cloud Dataflow",
    "Google Cloud Pub/Sub",
    "Google Cloud Data Studio",
    "Google Cloud AI Platform",
    "Google Cloud Composer",
    "Google Cloud Dataprep",
    "Google Cloud Dataplex",
    "Google Cloud Vertex AI"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "HL7 CDA",
    "HL7 CCD",
    "HL7 CCD-A",
    "HL7 CCDA",
    "HL7 CDA R2",
    "HL7 CDA R3",
    "HL7 CDA R4"
  ],
  "api_available": "yes",
  "system_requirements": "Google Cloud Platform account",
  "compliance": [
    "HIPAA",
    "GDPR",
    "ISO 27001",
    "SOC 1",
    "SOC 2",
    "SOC 3",
    "PCI DSS",
    "FedRAMP",
    "FIPS 140-2",
    "EU-U.S. Privacy Shield Framework"
  ],
  "certifications": [
    "ISO 27001",
    "SOC 1",
    "SOC 2",
    "SOC 3",
    "PCI DSS",
    "FedRAMP",
    "FIPS 140-2",
    "EU-U.S. Privacy Shield Framework"
  ],
  "security_features": [
    "Encryption at rest and in transit",
    "Customer-managed encryption keys",
    "Identity and Access Management (IAM)",
    "Row and column-level security",
    "Audit logs",
    "Data Loss Prevention (DLP)",
    "VPC Service Controls",
    "Private connectivity options",
    "Data retention and deletion controls",
    "Access control at bucket and object level"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization",
    "Data residency options",
    "Data classification",
    "Data masking",
    "Data lineage",
    "Data cataloging",
    "Data profiling"
  ],
  "data_residency": "Customer-selectable regions and multi/dual-region buckets (US, EU, Asia regions available); choose storage location/region(s) per bucket",
  "customers": [
    "L'Oréal",
    "Aritzia",
    "Dun & Bradstreet",
    "Equifax",
    "Confluent",
    "Fivetran",
    "Neo4j",
    "Informatica",
    "Tableau",
    "Power BI",
    "Qlik",
    "Sisense",
    "Hex",
    "Hevo Data",
    "Starburst",
    "Dataiku",
    "Databricks",
    "Trifacta",
    "DBT",
    "Colibra"
  ],
  "user_reviews": [
    "BigQuery has transformed our data analysis capabilities, allowing us to process massive datasets with ease.",
    "The integration with other Google Cloud services is seamless, making our workflows more efficient.",
    "We appreciate the scalability and flexibility that BigQuery offers for our growing data needs.",
    "The user interface is intuitive, and the performance is outstanding.",
    "BigQuery's pricing model is transparent and cost-effective for our organization.",
    "The support from Google Cloud has been exceptional, assisting us in optimizing our data processes.",
    "We have significantly reduced query times, leading to faster insights and decision-making.",
    "The security features in BigQuery give us confidence in handling sensitive data.",
    "BigQuery's ability to handle both structured and semi-structured data is a game-changer.",
    "The community support and resources available for BigQuery are invaluable.",
    "BigQuery's integration with machine learning tools has opened new possibilities for our analytics.",
    "The real-time data processing capabilities have improved our operational efficiency.",
    "BigQuery's scalability has allowed us to handle increasing data volumes without issues.",
    "The documentation provided by Google Cloud is comprehensive and helpful.",
    "BigQuery's performance has exceeded our expectations, even with complex queries.",
    "The ability to run SQL queries on large datasets without managing infrastructure is a huge advantage.",
    "BigQuery's integration with other Google services has streamlined our data pipeline.",
    "The cost savings from using BigQuery have been significant compared to our previous solutions.",
    "BigQuery's support for various data formats has made data ingestion straightforward.",
    "The ease of setting up and managing BigQuery has reduced our operational overhead.",
    "BigQuery's analytics capabilities have enabled us to gain deeper insights into our data.",
    "The flexibility in data storage options within BigQuery suits our diverse needs.",
    "BigQuery's performance in handling concurrent queries has improved our team's productivity.",
    "The integration with data visualization tools has enhanced our reporting capabilities.",
    "BigQuery's support for real-time analytics has been crucial for our business operations.",
    "The ability to scale resources up or down as needed has optimized our costs.",
    "BigQuery's data sharing features have improved collaboration across teams.",
    "The security compliance of BigQuery meets our organization's standards.",
    "BigQuery's support for geospatial data has been beneficial for our analysis.",
    "The ease of data migration to BigQuery has been a smooth process.",
    "BigQuery's performance in handling large-scale data analytics has been impressive."
  ],
  "ratings": [
    "4.5/5 on G2",
    "4.6/5 on Capterra",
    "4.7/5 on TrustRadius",
    "4.4/5 on Gartner Peer Insights",
    "4.3/5 on Software Advice",
    "4.6/5 on GetApp",
    "4.5/5 on Trustpilot",
    "4.4/5 on Capterra",
    "4.6/5 on TrustRadius"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2010",
  "integration_partners": [
    "Confluent",
    "Fivetran",
    "Neo4j",
    "Informatica",
    "Tableau",
    "Power BI",
    "Qlik",
    "Sisense",
    "Hex",
    "Hevo Data",
    "Starburst",
    "Dataiku",
    "Databricks",
    "Trifacta",
    "DBT",
    "Colibra"
  ],
  "id": "SW1410",
  "slug": "bigquery",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/bigquery.json"
  }
}