Google Cloud BigQuery Features

Statistical Tool (3)

Data Analysis (2)

Decision Making (4)

Modeling: Offers modeling capabilities 80 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Data Visualizations: Creates data visualizations or graphs This feature was mentioned in 78 Google Cloud BigQuery reviews.
Report Generation: Based on 80 Google Cloud BigQuery reviews. Generates reports of data performance
Data Unification: Unifies information on a singular platform This feature was mentioned in 78 Google Cloud BigQuery reviews.

Marketing Operations (6)

ROI Tracking: Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs 66 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Data Collection: Gathers data about the effectiveness, impact, and reach of marketing campaigns This feature was mentioned in 64 Google Cloud BigQuery reviews.
Customer Insights: As reported in 65 Google Cloud BigQuery reviews. Collects and reports on data relating to customer journeys, preferences, and history
Multi-User Access: Based on 66 Google Cloud BigQuery reviews. Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results
Spend Management: Includes features for budgeting, forecasting, and managing marketing investments 63 reviewers of Google Cloud BigQuery have provided feedback on this feature.
White Label: As reported in 63 Google Cloud BigQuery reviews. Offers a white labeling service for agencies or resellers to customize platform branding

Campaign Activity (6)

Campaign Insights: Analyzes historical and current marketing campaigns to inform future strategy 68 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Reports and Dashboards: As reported in 67 Google Cloud BigQuery reviews. Creates reports and dashboards to analyze results of campaigns
Campaign Stickiness: Identifies which marketing campaigns resolved in open or closed opportunities This feature was mentioned in 64 Google Cloud BigQuery reviews.
Multichannel Tracking: Collects marketing campaign performance data across multiple channels This feature was mentioned in 62 Google Cloud BigQuery reviews.
Brand Optimization: As reported in 63 Google Cloud BigQuery reviews. Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback
Predictive Analytics: Based on 65 Google Cloud BigQuery reviews. Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization

Database (3)

Real-Time Data Collection: As reported in 178 Google Cloud BigQuery reviews. Collects, stores, and organizes massive, unstructured data in real time
Data Distribution: Facilitates the disseminating of collected big data throughout parallel computing clusters This feature was mentioned in 176 Google Cloud BigQuery reviews.
Data Lake: Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. 170 reviewers of Google Cloud BigQuery have provided feedback on this feature.

Integrations (2)

Platform (3)

Machine Scaling: Facilitates solution to run on and scale to a large number of machines and systems This feature was mentioned in 153 Google Cloud BigQuery reviews.
Data Preparation: Curates collected data for big data analytics solutions to analyze, manipulate, and model 168 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Spark Integration: Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 136 Google Cloud BigQuery reviews.

Processing (2)

Data Transformation (2)

Connectivity (4)

Hadoop Integration: As reported in 256 Google Cloud BigQuery reviews. Aligns processing and distribution workflows on top of Apache Hadoop
Spark Integration: Aligns processing and distribution workflows on top of Apache Spark This feature was mentioned in 254 Google Cloud BigQuery reviews.
Multi-Source Analysis: Integrates data from multiple external databases. This feature was mentioned in 283 Google Cloud BigQuery reviews.
Data Lake: Facilitates the dissemination of collected big data throughout parallel computing clusters. 274 reviewers of Google Cloud BigQuery have provided feedback on this feature.

Operations (5)

Data Visualization: Based on 283 Google Cloud BigQuery reviews. Processes data and represents interpretations in a variety of graphic formats.
Data Workflow: Strings together specific functions and datasets to automate analytics iterations. 282 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Governed Discovery: Isolates certain datasets and facilitates management of data access. 260 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Embedded Analytics: Allows big data tool to run and record data within external applications. 267 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Notebooks: As reported in 259 Google Cloud BigQuery reviews. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Management (2)

Functionality (5)

Extraction: Extract data from the designated source(s) like relational databases, JSON files, and XML files. 121 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Transformation: Based on 124 Google Cloud BigQuery reviews. Cleanse and re-format extracted data to the needed target format.
Loading: Load reformatted data into target database, data warehouse, or other storage location. 124 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Automation: Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). 123 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Scalability: Capable of scaling processing power up or down based on ETL volume. 124 reviewers of Google Cloud BigQuery have provided feedback on this feature.

Data Management (6)

Data Integration: Based on 223 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Consolidates, Cleanses and Normalizes data from multiple disparate sources.
Data Compression: Based on 214 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance.
Data Quality: Based on 219 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity.
Built-In Data Analytics: Based on 215 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. SQL based analytics functions like Time series, pattern matching, geospatial analytics etc.
In-Database Machine Learning: Based on 204 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Provides built in capabilities like machine learning algorithms, data preparation functions, model evaluation and management etc.
Data Lake Analytics: Based on 205 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Allows data querying across data formats like parquet, ORC, JSON etc and analyze complex data types on HDFS

Integration (3)

AI/ ML Integration: Based on 204 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Integrates with data science workflows, Machine Learning and artificial intelligence (AI) capabilities.
BI Tool Integration: Based on 216 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Integrates with BI Tools to transform data into Actionable Insights.
Data lake Integration: Based on 204 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Provides speed in data processing and capturing unstructured, semi-structured and streaming data.

Deployment (2)

Performance (1)

Security (6)

Data Governance: Based on 211 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Policies, procedures and standards to manage and access data.
Data Security: Based on 217 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Restricts data access at a cell level, mask or hide parts of cells, and encrypt data at rest and in motion
Role-Based Authorization: Provides predefined system roles, privileges, and user-defined roles to users. 70 reviewers of Google Cloud BigQuery have provided feedback on this feature.
Authentication: As reported in 69 Google Cloud BigQuery reviews. Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.
Audit Logs: As reported in 69 Google Cloud BigQuery reviews. Provides an audit log to track access and operations performed on databases for regulatory compliance.
Encryption: As reported in 65 Google Cloud BigQuery reviews. Provides encryption capability for all the data at rest using encryption keys.

Storage (2)

Availability (3)

Auto Sharding: As reported in 62 Google Cloud BigQuery reviews. Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.
Auto Recovery: Restores a database to a correct (consistent) state in the event of a failure. This feature was mentioned in 66 Google Cloud BigQuery reviews.
Data Replication: Based on 68 Google Cloud BigQuery reviews. Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc.

Performance (1)

Support (2)

Centralized computation (1)

Localized computation (1)

Generative AI (4)

AI Text Generation: Allows users to generate text based on a text prompt. This feature was mentioned in 51 Google Cloud BigQuery reviews.
AI Text Summarization: Condenses long documents or text into a brief summary. This feature was mentioned in 51 Google Cloud BigQuery reviews.
AI Text Generation: Allows users to generate text based on a text prompt. This feature was mentioned in 132 Google Cloud BigQuery reviews.
AI Text Summarization: Based on 129 Google Cloud BigQuery reviews. Condenses long documents or text into a brief summary.

Agentic AI - Marketing Analytics (3)

Autonomous Task Execution: As reported in 16 Google Cloud BigQuery reviews. Capability to perform complex tasks without constant human input
Cross-system Integration: Based on 16 Google Cloud BigQuery reviews. Works across multiple software systems or databases
Proactive Assistance: Anticipates needs and offers suggestions without prompting 16 reviewers of Google Cloud BigQuery have provided feedback on this feature.