Google Cloud BigQuery Features
What are the features of Google Cloud BigQuery?
Data Transformation
- Real-Time Analytics
- Data Querying
Connectivity
- Hadoop Integration
- Spark Integration
- Multi-Source Analysis
- Data Lake
Operations
- Data Visualization
- Data Workflow
- Governed Discovery
- Embedded Analytics
- Notebooks
Data Management
- Data Integration
- Data Quality
Performance
- Scalability
Security
- Data Security
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Google Cloud BigQuery Categories on G2
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Statistical Tool
Scripting | Based on 50 Google Cloud BigQuery reviews. Supports a variety of scripting environments | 85% (Based on 50 reviews) | |
Data Mining | Based on 52 Google Cloud BigQuery reviews. Mines data from databases and prepares data for analysis | 90% (Based on 52 reviews) | |
Algorithms | As reported in 51 Google Cloud BigQuery reviews. Applies statistical algorithms to selected data | 88% (Based on 51 reviews) |
Data Analysis
Analysis | Based on 50 Google Cloud BigQuery reviews. Analyzes both structured and unstructured data | 92% (Based on 50 reviews) | |
Data Interaction | As reported in 51 Google Cloud BigQuery reviews. Interacts with data to prepare it for visualizations and models | 91% (Based on 51 reviews) |
Decision Making
Modeling | As reported in 52 Google Cloud BigQuery reviews. Offers modeling capabilities | 88% (Based on 52 reviews) | |
Data Visualizations | Creates data visualizations or graphs This feature was mentioned in 51 Google Cloud BigQuery reviews. | 86% (Based on 51 reviews) | |
Report Generation | Based on 52 Google Cloud BigQuery reviews. Generates reports of data performance | 86% (Based on 52 reviews) | |
Data Unification | Unifies information on a singular platform 50 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 86% (Based on 50 reviews) |
Marketing Operations
ROI Tracking | Based on 49 Google Cloud BigQuery reviews. Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs | 89% (Based on 49 reviews) | |
Data Collection | Based on 47 Google Cloud BigQuery reviews. Gathers data about the effectiveness, impact, and reach of marketing campaigns | 91% (Based on 47 reviews) | |
Customer Insights | Collects and reports on data relating to customer journeys, preferences, and history This feature was mentioned in 48 Google Cloud BigQuery reviews. | 90% (Based on 48 reviews) | |
Multi-User Access | Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results 49 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 94% (Based on 49 reviews) | |
Spend Management | Based on 46 Google Cloud BigQuery reviews. Includes features for budgeting, forecasting, and managing marketing investments | 90% (Based on 46 reviews) | |
White Label | Based on 46 Google Cloud BigQuery reviews. Offers a white labeling service for agencies or resellers to customize platform branding | 86% (Based on 46 reviews) |
Campaign Activity
Campaign Insights | As reported in 51 Google Cloud BigQuery reviews. Analyzes historical and current marketing campaigns to inform future strategy | 91% (Based on 51 reviews) | |
Reports and Dashboards | Creates reports and dashboards to analyze results of campaigns 50 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 94% (Based on 50 reviews) | |
Campaign Stickiness | As reported in 47 Google Cloud BigQuery reviews. Identifies which marketing campaigns resolved in open or closed opportunities | 87% (Based on 47 reviews) | |
Multichannel Tracking | Collects marketing campaign performance data across multiple channels 45 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 92% (Based on 45 reviews) | |
Brand Optimization | Based on 47 Google Cloud BigQuery reviews. Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback | 89% (Based on 47 reviews) | |
Predictive Analytics | Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization 48 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 92% (Based on 48 reviews) |
Database
Real-Time Data Collection | Collects, stores, and organizes massive, unstructured data in real time 131 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 86% (Based on 131 reviews) | |
Data Distribution | Based on 129 Google Cloud BigQuery reviews. Facilitates the disseminating of collected big data throughout parallel computing clusters | 87% (Based on 129 reviews) | |
Data Lake | Based on 123 Google Cloud BigQuery reviews. Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. | 85% (Based on 123 reviews) |
Integrations
Hadoop Integration | As reported in 93 Google Cloud BigQuery reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 80% (Based on 93 reviews) | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Hadoop 90 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 82% (Based on 90 reviews) |
Platform
Machine Scaling | As reported in 106 Google Cloud BigQuery reviews. Facilitates solution to run on and scale to a large number of machines and systems | 86% (Based on 106 reviews) | |
Data Preparation | Curates collected data for big data analytics solutions to analyze, manipulate, and model 121 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 86% (Based on 121 reviews) | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Hadoop 90 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 82% (Based on 90 reviews) |
Processing
Cloud Processing | Moves big data collection and processing to the cloud This feature was mentioned in 123 Google Cloud BigQuery reviews. | 91% (Based on 123 reviews) | |
Workload Processing | Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems This feature was mentioned in 117 Google Cloud BigQuery reviews. | 89% (Based on 117 reviews) |
Data Transformation
Real-Time Analytics | Based on 226 Google Cloud BigQuery reviews. Facilitates analysis of high-volume, real-time data. | 88% (Based on 226 reviews) | |
Data Querying | Allows user to query data through query languages like SQL. 233 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 93% (Based on 233 reviews) |
Connectivity
Hadoop Integration | As reported in 195 Google Cloud BigQuery reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 80% (Based on 195 reviews) | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Spark This feature was mentioned in 194 Google Cloud BigQuery reviews. | 81% (Based on 194 reviews) | |
Multi-Source Analysis | Based on 221 Google Cloud BigQuery reviews. Integrates data from multiple external databases. | 87% (Based on 221 reviews) | |
Data Lake | Facilitates the dissemination of collected big data throughout parallel computing clusters. 213 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 87% (Based on 213 reviews) |
Operations
Data Visualization | As reported in 223 Google Cloud BigQuery reviews. Processes data and represents interpretations in a variety of graphic formats. | 84% (Based on 223 reviews) | |
Data Workflow | Strings together specific functions and datasets to automate analytics iterations. This feature was mentioned in 220 Google Cloud BigQuery reviews. | 87% (Based on 220 reviews) | |
Governed Discovery | Isolates certain datasets and facilitates management of data access. This feature was mentioned in 199 Google Cloud BigQuery reviews. | 83% (Based on 199 reviews) | |
Embedded Analytics | Allows big data tool to run and record data within external applications. This feature was mentioned in 206 Google Cloud BigQuery reviews. | 83% (Based on 206 reviews) | |
Notebooks | Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations This feature was mentioned in 197 Google Cloud BigQuery reviews. | 85% (Based on 197 reviews) |
Management
Reporting | As reported in 68 Google Cloud BigQuery reviews. View ETL process data via reports and visualizations like charts and graphs. | 84% (Based on 68 reviews) | |
Auditing | As reported in 66 Google Cloud BigQuery reviews. Record ETL historical data for auditing and potential data correction needs. | 81% (Based on 66 reviews) |
Functionality
Extraction | Based on 66 Google Cloud BigQuery reviews. Extract data from the designated source(s) like relational databases, JSON files, and XML files. | 87% (Based on 66 reviews) | |
Transformation | Cleanse and re-format extracted data to the needed target format. 69 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 88% (Based on 69 reviews) | |
Loading | Load reformatted data into target database, data warehouse, or other storage location. This feature was mentioned in 69 Google Cloud BigQuery reviews. | 88% (Based on 69 reviews) | |
Automation | Based on 70 Google Cloud BigQuery reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). | 88% (Based on 70 reviews) | |
Scalability | Capable of scaling processing power up or down based on ETL volume. 69 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 92% (Based on 69 reviews) |
Data Management
Data Integration | Based on 139 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Consolidates, Cleanses and Normalizes data from multiple disparate sources. | 88% (Based on 139 reviews) | |
Data Compression | Based on 132 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance. | 82% (Based on 132 reviews) | |
Data Quality | Based on 136 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity. | 87% (Based on 136 reviews) | |
Built-In Data Analytics | Based on 132 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. | 85% (Based on 132 reviews) | |
In-Database Machine Learning | Based on 121 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. | 81% (Based on 121 reviews) | |
Data Lake Analytics | Based on 123 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 | 86% (Based on 123 reviews) |
Integration
AI/ ML Integration | Based on 122 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. | 84% (Based on 122 reviews) | |
BI Tool Integration | Based on 134 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Integrates with BI Tools to transform data into Actionable Insights. | 85% (Based on 134 reviews) | |
Data lake Integration | Based on 122 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. | 85% (Based on 122 reviews) |
Deployment
On-Premise | Based on 110 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options. | 76% (Based on 110 reviews) | |
Cloud | Based on 133 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Provides Cloud deployment options (private or public cloud, hybrid cloud). | 90% (Based on 133 reviews) |
Performance
Scalability | Based on 137 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Manages huge volumes of data, upscale or downscale as per demand. | 91% (Based on 137 reviews) |
Security
Data Governance | Based on 129 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Policies, procedures and standards to manage and access data. | 87% (Based on 129 reviews) | |
Data Security | Based on 134 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 | 90% (Based on 134 reviews) | |
Role-Based Authorization | Based on 52 Google Cloud BigQuery reviews. Provides predefined system roles, privileges, and user-defined roles to users. | 84% (Based on 52 reviews) | |
Authentication | Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. 51 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 85% (Based on 51 reviews) | |
Audit Logs | Provides an audit log to track access and operations performed on databases for regulatory compliance. This feature was mentioned in 50 Google Cloud BigQuery reviews. | 83% (Based on 50 reviews) | |
Encryption | Provides encryption capability for all the data at rest using encryption keys. This feature was mentioned in 46 Google Cloud BigQuery reviews. | 85% (Based on 46 reviews) |
Storage
Data Model | Based on 52 Google Cloud BigQuery reviews. Stores data tables as columns. | 88% (Based on 52 reviews) | |
Data Types | Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. 51 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 85% (Based on 51 reviews) |
Availability
Auto Sharding | Based on 45 Google Cloud BigQuery reviews. Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. | 83% (Based on 45 reviews) | |
Auto Recovery | Based on 48 Google Cloud BigQuery reviews. Restores a database to a correct (consistent) state in the event of a failure. | 85% (Based on 48 reviews) | |
Data Replication | As reported in 50 Google Cloud BigQuery reviews. Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. | 83% (Based on 50 reviews) |
Performance
Integrated Cache | As reported in 48 Google Cloud BigQuery reviews. Stores frequently-used data in system memory quickly. | 85% (Based on 48 reviews) |
Support
Multi-Model | Based on 48 Google Cloud BigQuery reviews. Provides support to store, index and query data in more than one format. | 85% (Based on 48 reviews) | |
Operating Systems | As reported in 46 Google Cloud BigQuery reviews. Available on multiple operating systems like Linux, Windows, MacOS etc. | 87% (Based on 46 reviews) |
Centralized computation
Centralized Computation | Offers a centralize, neutral location for parties to conduct data analysis. This feature was mentioned in 11 Google Cloud BigQuery reviews. | 83% (Based on 11 reviews) |
Localized computation
Localized computation | As reported in 12 Google Cloud BigQuery reviews. Offers localized computation, where data remains where it resides and is called by API in order to conduct analysis. | 81% (Based on 12 reviews) |
Generative AI
AI Text Generation | Based on 25 Google Cloud BigQuery reviews. Allows users to generate text based on a text prompt. | 79% (Based on 25 reviews) | |
AI Text Summarization | Condenses long documents or text into a brief summary. This feature was mentioned in 25 Google Cloud BigQuery reviews. | 78% (Based on 25 reviews) | |
AI Text Generation | As reported in 49 Google Cloud BigQuery reviews. Allows users to generate text based on a text prompt. | 77% (Based on 49 reviews) | |
AI Text Summarization | Condenses long documents or text into a brief summary. This feature was mentioned in 47 Google Cloud BigQuery reviews. | 77% (Based on 47 reviews) |
