HubSpot Data Hub Features

Data Source Access (3)

Breadth of Data Sources: Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others 10 reviewers of HubSpot Data Hub have provided feedback on this feature.
Ease of Data Connectivity: Based on 10 HubSpot Data Hub reviews. Allows businesses to easily connect to any data source
API Connectivity: Offers API connections for cloud-based applications and data sources This feature was mentioned in 11 HubSpot Data Hub reviews.

Data Interaction (8)

Profiling and Classification: Based on 10 HubSpot Data Hub reviews. Permits profiling of data sets for increased organization, both by users and machine learning
Metadata Management: Based on 11 HubSpot Data Hub reviews. Indexes metadata descriptions for easier searching and enhanced insights
Data Modeling: Based on 10 HubSpot Data Hub reviews. Tools to (re)structure data in a manner that enables quick and accurate insight extraction
Data Joining: Allows self-service joining of tables
Data Blending: Provides the ability to combine data sources into one data set
Data Quality and Cleansing: Allows users and administrators to easily clean data to maintain quality and integrity
Data Sharing: Offers collaborative functionality for sharing queries and data sets
Data Governance: Ensures user access management, data lineage, and data encryption

Data Exporting (3)

Breadth of Integrations: Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools
Ease of Integrations: As reported in 10 HubSpot Data Hub reviews. Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools
Data Workflows: Operationalizes data workflows to easily scale repeatable preparation needs 10 reviewers of HubSpot Data Hub have provided feedback on this feature.

Management (9)

Reporting: View ETL process data via reports and visualizations like charts and graphs.
Auditing: Record ETL historical data for auditing and potential data correction needs.
Reporting: Provide follow-up information after data cleanings through a visual dashboard or reports. 12 reviewers of HubSpot Data Hub have provided feedback on this feature.
Automation: As reported in 13 HubSpot Data Hub reviews. Automatically run data identification, correction, and normalization on data sources.
Quality Audits: Schedule automated audits to identify data anomalies over time based on set business rules. 10 reviewers of HubSpot Data Hub have provided feedback on this feature.
Dashboard: Based on 12 HubSpot Data Hub reviews. Gives a view of the entire data quality management ecosystem.
Governance: Allows user role-based access and actions to authorization for specific tasks. 11 reviewers of HubSpot Data Hub have provided feedback on this feature.
Integration Variety: Integrates with a variety of sources and/or migration targets. This feature was mentioned in 44 HubSpot Data Hub reviews.
Access and Security: Based on 40 HubSpot Data Hub reviews. Maintain user access and security features associated with pre-migrated data in the post-migration environment.

Functionality (13)

Extraction: Extract data from the designated source(s) like relational databases, JSON files, and XML files.
Transformation: Cleanse and re-format extracted data to the needed target format.
Loading: Load reformatted data into target database, data warehouse, or other storage location.
Automation: Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).
Scalability: Capable of scaling processing power up or down based on ETL volume.
Identification: Based on 11 HubSpot Data Hub reviews. Correctly identify inaccurate, incomplete, or duplicated data from a data source.
Correction: Utilize deletion, modification, appending, merging, or other methods to correct bad data. This feature was mentioned in 10 HubSpot Data Hub reviews.
Normalization: Standardize data formatting for uniformity and easier data usage. This feature was mentioned in 11 HubSpot Data Hub reviews.
Preventative Cleaning: Clean data as it enters the data source to prevent mixing bad data with cleaned data. 10 reviewers of HubSpot Data Hub have provided feedback on this feature.
Data Matching: Finds duplicates using the fuzzy logic technology or an advance search feature. 10 reviewers of HubSpot Data Hub have provided feedback on this feature.
Data Migration: As reported in 42 HubSpot Data Hub reviews. Migrate data from on-premises or cloud solutions to a separate cloud environment or solution.
Data Variety: As reported in 40 HubSpot Data Hub reviews. Be compatible with a variety of data types for migration.
Data Replication: Copy and store the same data in multiple locations. This feature was mentioned in 28 HubSpot Data Hub reviews.

Security (4)

Data Protection: Transform or encode data before being moved to the cloud. This feature was mentioned in 29 HubSpot Data Hub reviews.
Data Encryption: Based on 28 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Employs data encryption both at rest and in transit.
Security Standards: Based on 28 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data.
Communication Protocol: Based on 28 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Supports secure communication protocols like FTPS, SFTP etc

Responses (3)

Platform (3)

Development (6)

Real-Time Integration: Supports event or transaction based integrations that react to changes in real-time 166 reviewers of HubSpot Data Hub have provided feedback on this feature.
Flow Designer: Based on 32 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface.
Pre-Built Connectors: Based on 31 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Facilitiates API development and integrations with prebuilt connectors, templates, and examples.
Custom Connectors: Based on 28 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Provides the ability to create connectors from existing services and APIs in catalog.
Reusable connectors: Provides prebuilt, reusable connectors and workflows for all user integration requirements. 26 reviewers of HubSpot Data Hub have provided feedback on this feature.
Multi - tenant architecture: Enables multiple tenants (customers) to securely share physical computing resources. 26 reviewers of HubSpot Data Hub have provided feedback on this feature.

Management (5)

Monitoring & Notification: Based on 33 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Console for monitoring resource utilization, system health, ability to start and stop processes, etc.
Routing And Orchestration: Based on 32 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Enables data routing on configuration basis and management of complex workflows through an orchestration engine.
Data Mapping: Based on 34 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Facilitates to and fro data map according to the data model between applications/web services.
Data Transformation: Based on 31 HubSpot Data Hub reviews and verified by the G2 Product R&D team. Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system.
API Management: Based on 27 HubSpot Data Hub reviews. Supports and oversees the management of API products across their full lifecycle

Integration Options (2)

Revenue Sourcing and Forecasting (7)

Revenue History: Allows users to track how previous revenue forecasts have developed over time This feature was mentioned in 50 HubSpot Data Hub reviews.
Pipeline Management: Allows users to track pipeline to identify deals that are stalled, at risks and future opportunities 57 reviewers of HubSpot Data Hub have provided feedback on this feature.
Dashboard Analytics: As reported in 58 HubSpot Data Hub reviews. Reports results on revenue attainment, conversion rate, and overall revenue analytics
Multi-Device Data Visualization: Based on 47 HubSpot Data Hub reviews. Allows users to view data visualizations on several devices
Data Segmentation: Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region. This feature was mentioned in 54 HubSpot Data Hub reviews.
Predictive Forecasting: Provides users with ability to predict upcoming forecast based on AI insights and deal health This feature was mentioned in 41 HubSpot Data Hub reviews.
Revenue Operations Cadence: Provides users with ability to analyze weekly, monthly, and quarterly operational cadences to ensure success This feature was mentioned in 42 HubSpot Data Hub reviews.

CRM Data Enrichment (5)

Calendar Sync: Automatically associates calendar invites to update deal progress in a CRM 51 reviewers of HubSpot Data Hub have provided feedback on this feature.
Email Activity Capture: Based on 54 HubSpot Data Hub reviews. Automatically associates sales activities within emails to the relevant accounts in your CRM
Conversation Intelligence: Automatically associates sales activities within conversation intelligence tools to the relevant accounts in your CRM This feature was mentioned in 46 HubSpot Data Hub reviews.
Marketing Leads: Automatically links marketing leads to sales generated opportunities in your CRM This feature was mentioned in 50 HubSpot Data Hub reviews.
Contact Capture: Based on 41 HubSpot Data Hub reviews. Automatically captures contacts engaged with and associates to relevant accounts in a CRM

Account Management (6)

Nonengaged Accounts: Identifies accounts that sales reps aren't engaging with 46 reviewers of HubSpot Data Hub have provided feedback on this feature.
Account optimization: Maximizes account coverage by determining the optimal number of accounts per rep 48 reviewers of HubSpot Data Hub have provided feedback on this feature.
Historical Patterns: Identifies common themes among historical deals that are won or lost 46 reviewers of HubSpot Data Hub have provided feedback on this feature.
Rep Performance: Based on 43 HubSpot Data Hub reviews. Identifies common themes and actions amongst reps that close the most deals
Account Engagement: As reported in 40 HubSpot Data Hub reviews. Allows users to track the level of engagement with each account and provides insights on frequency of engagement
Historical Win/Loss Patterns: Identifies common themes among historical deals that are won or lost to provide insights into successful strategies This feature was mentioned in 37 HubSpot Data Hub reviews.

Deployment (2)

Generative AI (5)

AI Text Generation: Allows users to generate text based on a text prompt.
AI Text Summarization: Condenses long documents or text into a brief summary.
AI Text Generation: Allows users to generate text based on a text prompt.
AI Text Generation: Based on 10 HubSpot Data Hub reviews. Allows users to generate text based on a text prompt.
AI Text Summarization: As reported in 10 HubSpot Data Hub reviews. Condenses long documents or text into a brief summary.

Automation - AI Agents (5)

Sales Follow-Up: Allows users to automate responses to customer inquiries across various channels.
Customer Interaction Automation: Allows users to automate responses to customer inquiries across various channels.
Lead Generation: Allows users to automate the process of generating and qualifying sales leads.
Document Processing: Allows users to automate the handling, processing, and management of documents.
Feedback Collection: Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Autonomy - AI Agents (4)

Independent Decision Making: Allows the AI agent to learn from interactions and adapt its responses accordingly.
Adaptive Responses: Allows the AI agent to learn from interactions and adapt its responses accordingly.
Task Execution: Provides the AI agent the ability to execute tasks without requiring constant user input.
Problem Solving: Allows the AI agent to identify and resolve issues without user intervention.

Agentic AI - Revenue Operations & Intelligence (RO&I) (5)

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Cross-system Integration: Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience
Proactive Assistance: Anticipates needs and offers suggestions without prompting
Decision Making: Makes informed choices based on available data and objectives