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
Integration
- BI Tool Integration
Performance
- Scalability
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Google Cloud BigQuery Categories on G2
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Statistical Tool
Scripting | Supports a variety of scripting environments 45 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 86% (Based on 45 reviews) | |
Data Mining | Mines data from databases and prepares data for analysis This feature was mentioned in 47 Google Cloud BigQuery reviews. | 89% (Based on 47 reviews) | |
Algorithms | Applies statistical algorithms to selected data This feature was mentioned in 46 Google Cloud BigQuery reviews. | 89% (Based on 46 reviews) |
Data Analysis
Analysis | Analyzes both structured and unstructured data 45 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 92% (Based on 45 reviews) | |
Data Interaction | Based on 46 Google Cloud BigQuery reviews. Interacts with data to prepare it for visualizations and models | 91% (Based on 46 reviews) |
Decision Making
Modeling | Offers modeling capabilities This feature was mentioned in 47 Google Cloud BigQuery reviews. | 88% (Based on 47 reviews) | |
Data Visualizations | Creates data visualizations or graphs This feature was mentioned in 46 Google Cloud BigQuery reviews. | 86% (Based on 46 reviews) | |
Report Generation | As reported in 47 Google Cloud BigQuery reviews. Generates reports of data performance | 85% (Based on 47 reviews) | |
Data Unification | Unifies information on a singular platform This feature was mentioned in 45 Google Cloud BigQuery reviews. | 85% (Based on 45 reviews) |
Marketing Operations
ROI Tracking | Based on 45 Google Cloud BigQuery reviews. Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs | 88% (Based on 45 reviews) | |
Data Collection | Based on 43 Google Cloud BigQuery reviews. Gathers data about the effectiveness, impact, and reach of marketing campaigns | 90% (Based on 43 reviews) | |
Customer Insights | As reported in 44 Google Cloud BigQuery reviews. Collects and reports on data relating to customer journeys, preferences, and history | 90% (Based on 44 reviews) | |
Multi-User Access | Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results 45 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 94% (Based on 45 reviews) | |
Spend Management | Based on 42 Google Cloud BigQuery reviews. Includes features for budgeting, forecasting, and managing marketing investments | 89% (Based on 42 reviews) | |
White Label | Offers a white labeling service for agencies or resellers to customize platform branding 42 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 85% (Based on 42 reviews) |
Campaign Activity
Campaign Insights | Analyzes historical and current marketing campaigns to inform future strategy This feature was mentioned in 47 Google Cloud BigQuery reviews. | 90% (Based on 47 reviews) | |
Reports and Dashboards | As reported in 46 Google Cloud BigQuery reviews. Creates reports and dashboards to analyze results of campaigns | 94% (Based on 46 reviews) | |
Campaign Stickiness | As reported in 43 Google Cloud BigQuery reviews. Identifies which marketing campaigns resolved in open or closed opportunities | 86% (Based on 43 reviews) | |
Multichannel Tracking | Collects marketing campaign performance data across multiple channels 41 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 91% (Based on 41 reviews) | |
Brand Optimization | Based on 43 Google Cloud BigQuery reviews. Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback | 89% (Based on 43 reviews) | |
Predictive Analytics | Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization 44 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 91% (Based on 44 reviews) |
Database
Real-Time Data Collection | As reported in 122 Google Cloud BigQuery reviews. Collects, stores, and organizes massive, unstructured data in real time | 86% (Based on 122 reviews) | |
Data Distribution | Facilitates the disseminating of collected big data throughout parallel computing clusters 120 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 87% (Based on 120 reviews) | |
Data Lake | Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. This feature was mentioned in 114 Google Cloud BigQuery reviews. | 85% (Based on 114 reviews) |
Integrations
Hadoop Integration | Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 85 Google Cloud BigQuery reviews. | 80% (Based on 85 reviews) | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 81 Google Cloud BigQuery reviews. | 84% (Based on 81 reviews) |
Platform
Machine Scaling | As reported in 98 Google Cloud BigQuery reviews. Facilitates solution to run on and scale to a large number of machines and systems | 87% (Based on 98 reviews) | |
Data Preparation | Based on 113 Google Cloud BigQuery reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model | 87% (Based on 113 reviews) | |
Spark Integration | As reported in 81 Google Cloud BigQuery reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 84% (Based on 81 reviews) |
Processing
Cloud Processing | As reported in 114 Google Cloud BigQuery reviews. Moves big data collection and processing to the cloud | 92% (Based on 114 reviews) | |
Workload Processing | Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems 109 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 90% (Based on 109 reviews) |
Data Transformation
Real-Time Analytics | As reported in 209 Google Cloud BigQuery reviews. Facilitates analysis of high-volume, real-time data. | 88% (Based on 209 reviews) | |
Data Querying | Allows user to query data through query languages like SQL. 216 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 93% (Based on 216 reviews) |
Connectivity
Hadoop Integration | As reported in 179 Google Cloud BigQuery reviews. Aligns processing and distribution workflows on top of Apache Hadoop | 81% (Based on 179 reviews) | |
Spark Integration | As reported in 178 Google Cloud BigQuery reviews. Aligns processing and distribution workflows on top of Apache Spark | 82% (Based on 178 reviews) | |
Multi-Source Analysis | Based on 205 Google Cloud BigQuery reviews. Integrates data from multiple external databases. | 87% (Based on 205 reviews) | |
Data Lake | Facilitates the dissemination of collected big data throughout parallel computing clusters. This feature was mentioned in 197 Google Cloud BigQuery reviews. | 88% (Based on 197 reviews) |
Operations
Data Visualization | Processes data and represents interpretations in a variety of graphic formats. This feature was mentioned in 207 Google Cloud BigQuery reviews. | 85% (Based on 207 reviews) | |
Data Workflow | Strings together specific functions and datasets to automate analytics iterations. This feature was mentioned in 203 Google Cloud BigQuery reviews. | 87% (Based on 203 reviews) | |
Governed Discovery | As reported in 183 Google Cloud BigQuery reviews. Isolates certain datasets and facilitates management of data access. | 85% (Based on 183 reviews) | |
Embedded Analytics | Based on 190 Google Cloud BigQuery reviews. Allows big data tool to run and record data within external applications. | 84% (Based on 190 reviews) | |
Notebooks | Based on 181 Google Cloud BigQuery reviews. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations | 85% (Based on 181 reviews) |
Management
Reporting | Based on 57 Google Cloud BigQuery reviews. View ETL process data via reports and visualizations like charts and graphs. | 85% (Based on 57 reviews) | |
Auditing | As reported in 55 Google Cloud BigQuery reviews. Record ETL historical data for auditing and potential data correction needs. | 82% (Based on 55 reviews) |
Functionality
Extraction | Extract data from the designated source(s) like relational databases, JSON files, and XML files. This feature was mentioned in 56 Google Cloud BigQuery reviews. | 88% (Based on 56 reviews) | |
Transformation | Cleanse and re-format extracted data to the needed target format. This feature was mentioned in 58 Google Cloud BigQuery reviews. | 90% (Based on 58 reviews) | |
Loading | As reported in 58 Google Cloud BigQuery reviews. Load reformatted data into target database, data warehouse, or other storage location. | 89% (Based on 58 reviews) | |
Automation | As reported in 59 Google Cloud BigQuery reviews. Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly). | 89% (Based on 59 reviews) | |
Scalability | Capable of scaling processing power up or down based on ETL volume. 58 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 93% (Based on 58 reviews) |
Data Management
Data Integration | Based on 131 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Consolidates, Cleanses and Normalizes data from multiple disparate sources. | 89% (Based on 131 reviews) | |
Data Compression | Based on 124 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Helps save storage capacity and improves query performance. | 82% (Based on 124 reviews) | |
Data Quality | Based on 128 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Eliminates data inconsistency and duplications ensuring data integrity. | 88% (Based on 128 reviews) | |
Built-In Data Analytics | Based on 124 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 124 reviews) | |
In-Database Machine Learning | Based on 113 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. | 82% (Based on 113 reviews) | |
Data Lake Analytics | Based on 115 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 | 87% (Based on 115 reviews) |
Integration
AI/ ML Integration | Based on 114 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. | 85% (Based on 114 reviews) | |
BI Tool Integration | Based on 126 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Integrates with BI Tools to transform data into Actionable Insights. | 86% (Based on 126 reviews) | |
Data lake Integration | Based on 114 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. | 86% (Based on 114 reviews) |
Deployment
On-Premise | Based on 102 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Provides On-Premise deployment options. | 78% (Based on 102 reviews) | |
Cloud | Based on 125 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Provides Cloud deployment options (private or public cloud, hybrid cloud). | 91% (Based on 125 reviews) |
Performance
Scalability | Based on 129 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 129 reviews) |
Security
Data Governance | Based on 121 Google Cloud BigQuery reviews and verified by the G2 Product R&D team. Policies, procedures and standards to manage and access data. | 88% (Based on 121 reviews) | |
Data Security | Based on 126 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 | 91% (Based on 126 reviews) | |
Role-Based Authorization | Provides predefined system roles, privileges, and user-defined roles to users. This feature was mentioned in 49 Google Cloud BigQuery reviews. | 85% (Based on 49 reviews) | |
Authentication | Based on 48 Google Cloud BigQuery reviews. Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. | 86% (Based on 48 reviews) | |
Audit Logs | As reported in 47 Google Cloud BigQuery reviews. Provides an audit log to track access and operations performed on databases for regulatory compliance. | 84% (Based on 47 reviews) | |
Encryption | Provides encryption capability for all the data at rest using encryption keys. 43 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 86% (Based on 43 reviews) |
Storage
Data Model | Stores data tables as columns. 49 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 89% (Based on 49 reviews) | |
Data Types | Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. 48 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 88% (Based on 48 reviews) |
Availability
Auto Sharding | As reported in 42 Google Cloud BigQuery reviews. Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. | 86% (Based on 42 reviews) | |
Auto Recovery | As reported in 45 Google Cloud BigQuery reviews. Restores a database to a correct (consistent) state in the event of a failure. | 86% (Based on 45 reviews) | |
Data Replication | Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. This feature was mentioned in 47 Google Cloud BigQuery reviews. | 85% (Based on 47 reviews) |
Performance
Integrated Cache | Stores frequently-used data in system memory quickly. 45 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 87% (Based on 45 reviews) |
Support
Multi-Model | Provides support to store, index and query data in more than one format. This feature was mentioned in 45 Google Cloud BigQuery reviews. | 87% (Based on 45 reviews) | |
Operating Systems | Available on multiple operating systems like Linux, Windows, MacOS etc. 43 reviewers of Google Cloud BigQuery have provided feedback on this feature. | 88% (Based on 43 reviews) |
Centralized computation
Centralized Computation | Offers a centralize, neutral location for parties to conduct data analysis. | Not enough data |
Localized computation
Localized computation | Offers localized computation, where data remains where it resides and is called by API in order to conduct analysis. | Not enough data |
