ODBC Driver for Hubspot
On-premise data integration software
Data integration tools
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if ODBC Driver for Hubspot and its alternatives fit your requirements.
Free Trial unavailableFree version unavailable
Small
Medium
Large
-
What is ODBC Driver for Hubspot
ODBC Driver for HubSpot is a connectivity component that exposes HubSpot CRM data through the ODBC standard so it can be queried from BI tools, reporting applications, and database clients. It is typically used by analysts and data engineers who need SQL access to HubSpot objects for reporting, ad hoc analysis, or data movement into a warehouse. The driver maps HubSpot APIs to relational tables and handles authentication and API interactions behind the ODBC interface. It is generally deployed on the machine running the consuming application (desktop or server) rather than as a full integration platform.
Standard ODBC connectivity
Works with many SQL-capable tools that support ODBC, including reporting tools and ETL/ELT products. This reduces the need to build custom API integrations for common read/query use cases. It also fits environments where ODBC is the approved integration method for on-premise applications.
SQL abstraction over APIs
Presents HubSpot objects as tables and views, enabling SQL-based querying instead of direct REST API calls. This can simplify joins, filtering, and incremental extraction patterns compared with writing bespoke API code. It also centralizes API pagination, throttling behavior, and request formatting inside the driver.
Deployable in on-prem environments
Can be installed on Windows/Linux hosts where on-premise reporting or integration jobs run. This supports scenarios where data access must originate from controlled network segments. It can also be used in scheduled jobs without requiring a separate integration server product.
Not a full integration suite
Provides connectivity and query access but does not include end-to-end workflow orchestration, transformation pipelines, or broad connector management found in integration platforms. Users typically need separate tooling for scheduling, monitoring, retries, and lineage. Complex multi-system integrations may require additional middleware.
API and schema constraints
Query performance and completeness depend on HubSpot API capabilities, rate limits, and object model limitations. Some HubSpot entities or properties may not map cleanly to relational tables, and certain operations may be read-only. Large extracts can be slow or require careful incremental strategies to avoid throttling.
Operational management overhead
Requires driver installation, configuration, and ongoing updates on each host where it is used. Authentication setup (for example, OAuth tokens) must be managed and rotated securely. Troubleshooting often involves both ODBC-layer diagnostics and underlying API error handling.
Seller details
CData Software, Inc.
Chapel Hill, North Carolina, USA
2006
Private
https://www.cdata.com/
https://x.com/cdata
https://www.linkedin.com/company/cdata-software/
