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 This feature was mentioned in 10 HubSpot Data Hub reviews.
Ease of Data Connectivity: Allows businesses to easily connect to any data source This feature was mentioned in 10 HubSpot Data Hub reviews.
API Connectivity: As reported in 11 HubSpot Data Hub reviews. Offers API connections for cloud-based applications and data sources

Data Interaction (8)

Profiling and Classification: As reported in 10 HubSpot Data Hub reviews. Permits profiling of data sets for increased organization, both by users and machine learning
Metadata Management: As reported in 11 HubSpot Data Hub reviews. Indexes metadata descriptions for easier searching and enhanced insights
Data Modeling: Tools to (re)structure data in a manner that enables quick and accurate insight extraction 10 reviewers of HubSpot Data Hub have provided feedback on this feature.
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: Based on 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: As reported in 12 HubSpot Data Hub reviews. Provide follow-up information after data cleanings through a visual dashboard or reports.
Automation: Based on 12 HubSpot Data Hub reviews. Automatically run data identification, correction, and normalization on data sources.
Quality Audits: As reported in 10 HubSpot Data Hub reviews. Schedule automated audits to identify data anomalies over time based on set business rules.
Dashboard: Gives a view of the entire data quality management ecosystem. This feature was mentioned in 12 HubSpot Data Hub reviews.
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: As reported in 44 HubSpot Data Hub reviews. Integrates with a variety of sources and/or migration targets.
Access and Security: Maintain user access and security features associated with pre-migrated data in the post-migration environment. 40 reviewers of HubSpot Data Hub have provided feedback on this feature.

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: Correctly identify inaccurate, incomplete, or duplicated data from a data source. 10 reviewers of HubSpot Data Hub have provided feedback on this feature.
Correction: Utilize deletion, modification, appending, merging, or other methods to correct bad data. This feature was mentioned in 10 HubSpot Data Hub reviews.
Normalization: Based on 10 HubSpot Data Hub reviews. Standardize data formatting for uniformity and easier data usage.
Preventative Cleaning: Based on 10 HubSpot Data Hub reviews. Clean data as it enters the data source to prevent mixing bad data with cleaned data.
Data Matching: Finds duplicates using the fuzzy logic technology or an advance search feature. This feature was mentioned in 10 HubSpot Data Hub reviews.
Data Migration: Based on 42 HubSpot Data Hub reviews. Migrate data from on-premises or cloud solutions to a separate cloud environment or solution.
Data Variety: Based on 40 HubSpot Data Hub reviews. Be compatible with a variety of data types for migration.
Data Replication: As reported in 28 HubSpot Data Hub reviews. Copy and store the same data in multiple locations.

Security (4)

Data Protection: Transform or encode data before being moved to the cloud. 29 reviewers of HubSpot Data Hub have provided feedback on this feature.
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: Based on 165 HubSpot Data Hub reviews. Supports event or transaction based integrations that react to changes in real-time
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: Based on 26 HubSpot Data Hub reviews. Provides prebuilt, reusable connectors and workflows for all user integration requirements.
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: Supports and oversees the management of API products across their full lifecycle This feature was mentioned in 27 HubSpot Data Hub reviews.

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: Based on 58 HubSpot Data Hub reviews. Reports results on revenue attainment, conversion rate, and overall revenue analytics
Multi-Device Data Visualization: Allows users to view data visualizations on several devices 47 reviewers of HubSpot Data Hub have provided feedback on this feature.
Data Segmentation: As reported in 54 HubSpot Data Hub reviews. Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region.
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 42 reviewers of HubSpot Data Hub have provided feedback on this feature.

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: Automatically captures contacts engaged with and associates to relevant accounts in a CRM This feature was mentioned in 41 HubSpot Data Hub reviews.

Account Management (6)

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

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