JSON twin: https://www.healthaidb.com/software/google-bigquery.json
Google Cloud
https://cloud.google.com/bigquery
Google BigQuery is Google Cloud's fully managed, serverless enterprise data warehouse and data-to-AI platform for large-scale analytics, ML, and real-time streaming on structured and multimodal data.
BigQuery provides a serverless, petabyte-scale analytics engine with separated storage and compute, built-in BigQuery ML and Vertex AI integration, streaming ingestion, data governance via Dataplex, data clean rooms, geospatial capabilities, and flexible pricing (on‑demand and flat‑rate capacity) with free tier and sandbox options. It supports enterprise features such as cross‑region replication, managed disaster recovery, encryption, IAM, and compliance frameworks (Google Cloud offers HIPAA support/BAA for covered deployments).
yes
1998
Customers choose Google Cloud regions and multi-region locations (US, EU, Asia, and other regional zones); BigQuery datasets can be regional or multi-regional per project
P0660
2025-09-07
Proprietary (commercial, Google Cloud service)
Free tier: 10 GiB storage and 1 TiB queries per month; new customers get $300 free credits and sandbox trial. Compute (on‑demand) starting ~$6.25 per TiB scanned (first 1 TiB/month free). Flat‑rate capacity/slots starting ~$0.04 per slot‑hour. Storage logical starting ~$0.01 per GiB; physical starting ~$0.02 per GiB. Additional charges for streaming, Storage Write API, and other services. See vendor for region/pricing calculator or enterprise quote.
freemium
2010
product
1.0
{
"company_name": "Google Cloud",
"company_url": "https://cloud.google.com",
"company_offices": [
"United States",
"United Kingdom",
"Ireland",
"India",
"Germany",
"Canada",
"Australia",
"Japan",
"Singapore",
"Brazil"
],
"company_founding": "1998",
"product_url": "https://cloud.google.com/bigquery",
"categories": [
"data infrastructure",
"data warehouse",
"analytics",
"machine learning",
"real-time analytics",
"data integration",
"governance"
],
"market_segment": [
"enterprise",
"smb"
],
"links": [
"https://cloud.google.com/bigquery",
"https://cloud.google.com/bigquery/docs",
"https://cloud.google.com/bigquery/pricing",
"https://cloud.google.com/trust-center",
"https://cloud.google.com/support-hub",
"https://console.cloud.google.com/marketplace/product/google-cloud-platform/bigquery",
"https://en.wikipedia.org/wiki/BigQuery",
"https://www.g2.com/products/google-bigquery/reviews",
"https://www.capterra.com/p/180991/BigQuery/"
],
"summary": "Google BigQuery is Google Cloud's fully managed, serverless enterprise data warehouse and data-to-AI platform for large-scale analytics, ML, and real-time streaming on structured and multimodal data.",
"description": "BigQuery provides a serverless, petabyte-scale analytics engine with separated storage and compute, built-in BigQuery ML and Vertex AI integration, streaming ingestion, data governance via Dataplex, data clean rooms, geospatial capabilities, and flexible pricing (on‑demand and flat‑rate capacity) with free tier and sandbox options. It supports enterprise features such as cross‑region replication, managed disaster recovery, encryption, IAM, and compliance frameworks (Google Cloud offers HIPAA support/BAA for covered deployments).",
"target_users": [
"data engineers",
"data scientists",
"analytics engineers",
"IT administrators",
"clinical researchers",
"healthcare data analysts",
"payers",
"bioinformaticians"
],
"specialties": [
"healthcare analytics",
"clinical research",
"genomics analytics",
"medical imaging analytics",
"population health"
],
"regions_available": [
"Global (Google Cloud regions worldwide)"
],
"languages_supported": [
"English",
"Deutsch",
"Español",
"Español (Latinoamérica)",
"Français",
"Indonesia",
"Italiano",
"Português (Brasil)",
"简体中文",
"繁體中文",
"日本語",
"한국어"
],
"pricing_model": "freemium",
"pricing_details": "Free tier: 10 GiB storage and 1 TiB queries per month; new customers get $300 free credits and sandbox trial. Compute (on‑demand) starting ~$6.25 per TiB scanned (first 1 TiB/month free). Flat‑rate capacity/slots starting ~$0.04 per slot‑hour. Storage logical starting ~$0.01 per GiB; physical starting ~$0.02 per GiB. Additional charges for streaming, Storage Write API, and other services. See vendor for region/pricing calculator or enterprise quote.",
"license": "Proprietary (commercial, Google Cloud service)",
"deployment_model": [
"SaaS (managed cloud)"
],
"os_platforms": [
"Web (Cloud Console)",
"Linux (client libs/CLI)",
"macOS (client libs/CLI)",
"Windows (client libs/CLI)",
"iOS/Android (via APIs/SDKs)"
],
"features": [
"Fully-managed petabyte-scale columnar data warehouse",
"Standard SQL query engine with ANSI SQL support",
"Real-time streaming inserts",
"Partitioning and clustering for performance and cost control",
"BigQuery ML (in-warehouse machine learning)",
"Geospatial SQL (BigQuery GIS)",
"BI Engine in-memory acceleration",
"Federated queries (Cloud Storage, Cloud SQL, Bigtable, Sheets)",
"BigQuery Omni (multi-cloud querying)",
"Data catalog and metadata integration",
"Scheduled queries and Data Transfer Service",
"Automatic storage compression and columnar storage",
"Query optimizer and cost controls (slots, reservations)",
"Row- and column-level access controls via IAM",
"Audit logging and query-level logging",
"Support for external tables and materialized views",
"Streaming and batch export/import from Cloud Healthcare API (FHIR, DICOM) and Pub/Sub",
"Integration with Vertex AI / TensorFlow and Looker/BI tools"
],
"optional_modules": [
"BigQuery ML",
"BI Engine",
"BigQuery Omni",
"BigQuery Data Transfer Service",
"Reservation/Slots (flexible compute reservations)",
"Customer-managed encryption keys (CMEK)",
"Column-level security / row-level security (access controls)",
"Connected sheets / BigQuery Connector for Sheets"
],
"integrations": [
"Cloud Healthcare API (FHIR/DICOM/HL7 pipelines)",
"Cloud Pub/Sub",
"Cloud Storage",
"Dataflow",
"Dataproc",
"Data Transfer Service (SaaS connectors)",
"Looker",
"Vertex AI",
"TensorFlow",
"Tableau",
"Power BI",
"Apache Spark (via Dataproc / connectors)",
"Google Sheets (Connected Sheets)",
"Third-party ETL tools (Fivetran, Stitch, Talend via connectors)"
],
"data_standards": [
"FHIR",
"HL7 v2",
"DICOM",
"OMOP",
"ICD-10",
"SNOMED CT"
],
"api_available": "yes",
"system_requirements": "",
"compliance": [
"HIPAA (supports HIPAA workloads with BAA)",
"GDPR (data protection features and region controls)",
"HITECH",
"SOC 1",
"SOC 2",
"SOC 3",
"ISO 27001",
"ISO 27017",
"ISO 27018",
"FedRAMP (authorized offerings)",
"PCI DSS"
],
"certifications": [
"ISO 27001",
"ISO 27017",
"ISO 27018",
"SOC 1",
"SOC 2",
"SOC 3",
"FedRAMP (for authorized Google Cloud services)",
"PCI DSS",
"HITRUST CSF (Google Cloud has assessed offerings)"
],
"security_features": [
"Encryption at rest and in transit",
"Customer-managed encryption keys (CMEK)",
"IAM-based role & permission controls",
"VPC Service Controls (data exfiltration protection)",
"Audit logging (Cloud Audit Logs)",
"SSO/SAML via Google Identity",
"Support for organization policies and separation of duties",
"Data loss prevention integration (Cloud DLP)"
],
"privacy_features": [
"Business Associate Agreement (BAA) available for HIPAA",
"Cloud DLP for de-identification/anonymization",
"Access controls and audit logs for data access monitoring",
"Region selection / data residency controls",
"Data minimization via SQL and export controls"
],
"data_residency": "Customers choose Google Cloud regions and multi-region locations (US, EU, Asia, and other regional zones); BigQuery datasets can be regional or multi-regional per project",
"customers": [
"HCA Healthcare",
"Bayer",
"Major League Baseball (MLB)",
"Mercado Libre",
"Vodafone",
"Lowe's",
"BMW",
"McLaren",
"Electronic Arts (EA)",
"TELUS",
"Millennium BCP",
"Super-Pharm",
"CME Group",
"Macquarie",
"Hershey",
"Globo"
],
"user_reviews": [
"\"BigQuery is definitely the right tool for you.\" (Reddit)",
"\"It's fast, doesn't need heavy setup, and lets me run huge data queries.\" (G2)",
"\"Got hit with a €50,000 bill from BigQuery after 17 ...\" (Reddit report of billing surprise)",
"\"BigQuery is amazing for small, medium, and big companies. It's incredibly cheap for small data sizes and the speed is incredible.\" (Reddit)",
"\"I think you can learn and use BigQuery for a fairly reasonable price, but you just have to watch some of the hidden/unclear billing.\" (Reddit)",
"\"BigQuery is an excellent tool... would recommend BigQuery first for anyone using GCP.\" (Reddit)"
],
"ratings": [
"G2: 4.5/5 (Google Cloud BigQuery)"
],
"support_channels": [
"email",
"phone",
"chat",
"ticketing",
"community forums",
"24x7 support (paid tiers)"
],
"training_options": [
"documentation",
"webinars",
"live_online training",
"onsite training (via partners)",
"certification (Google Cloud)"
],
"release_year": "2010",
"integration_partners": [
"Looker / Looker Studio",
"Dataflow",
"Pub/Sub",
"Cloud Storage",
"BigLake",
"Dataproc",
"Data Fusion",
"Vertex AI",
"BigQuery Data Transfer Service",
"dbt Labs",
"Fivetran",
"Informatica",
"Talend",
"SADA",
"Persistent Systems",
"Pythian",
"GSPANN"
],
"id": "P0660",
"slug": "google-bigquery",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/google-bigquery.json"
}
}