Directory Data & AnalyticsGoogle BigQuery

Google BigQuery

Funded

Autonomous data to AI platform for scalable analytics and insights

About Google BigQuery

Google BigQuery is a fully managed, serverless data warehouse designed for enterprise-scale analytics and AI-driven insights. It automates the entire data lifecycle, from ingestion to machine learning, enabling organizations to analyze petabyte-scale datasets efficiently with decoupled storage and compute architecture. BigQuery supports SQL-based querying, integrates with AI and ML tools, and provides native generative AI capabilities to simplify complex analytics workflows.

Targeted at large enterprises requiring robust, scalable, and cost-effective data warehousing, BigQuery offers seamless integration with open source technologies like Apache Iceberg and Apache Spark. It provides built-in governance powered by Dataplex Universal Catalog, ensuring metadata management, data quality, and lineage tracking. With real-time streaming support and disaster recovery features, BigQuery is suited for mission-critical workloads demanding high availability and operational monitoring.

Key Capabilities

✓AI-powered SQL querying and ML model training
✓Unified data and AI platform with multimodal analytics
✓Serverless Spark and Apache Iceberg table support
✓Built-in data governance with metadata and lineage
✓Cross-region disaster recovery and operational monitoring

Integrations

Vertex AI Model RegistryManaged Service for Apache KafkaDataflow

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .