Introducing Stacksync for HubSpot: connecting clouds and customers
Modern Data Stack
News and Updates
Stacksync offers real-time and two-way synchronization between HubSpot and databases like Postgres, Snowflake, Google BigQuery, and Databricks. It simplifies data harmonization between HubSpot and Postgres, providing a unified application experience without complex integration efforts. Stacksync empowers developers with SQL access to HubSpot data, offers two-way sync for real-time consistency, optimizes HubSpot API interactions, and enhances performance and scalability by leveraging Postgres features. It's a user-friendly, no-code solution that operates seamlessly, making it a valuable tool for businesses looking to consolidate and utilize their data effectively. You can get started with Stacksync for free at stacksync.cloud.
October 9, 2023
Stacksync is a synchronization service with similarities to Dropbox or iCloud, designed to sync data between HubSpot and a database such as Postgres, Snowflake, BigQuery and more. This integration seamlessly harmonizes the data layers of both the HubSpot and Database platforms, enabling data to effortlessly mirror between them. Any modification made in your CRM will instantly reflect in the Database and vice-versa. This integration facilitates the combined use of both platforms within a single application, eliminating the need for translation or complex integration processes.
Two-way sync turns CRMs into data powerhouses. It’s time to activate your data as if it is 2023, not 1960!
Databases + HubSpot = ❤️
Cloud Databases/Data Warehouses and HubSpot are cloud platform counterparts, each with its own unique semantics and high-level services. Both platforms serve distinct purposes: HubSpot caters to CRM and enterprise automation, while Databases/Data Warehouses are geared towards building analytics and data activation capabilities for enterprises.
Data consolidation between CRMs and Databases/Data Warehouses is a must to deliver data insights at scale.
Standard SQL serves as the connecting bridge between these cloud platforms. Virtually all application frameworks, whether Rails, Django, Symphony, or Sinatra, are designed to work seamlessly with standard SQL. With Stacksync, HubSpot data can be seamlessly integrated as a primary element within nearly any stack, directly from a database.
Stacksync and HubSpot customers are embarking on ambitious, industry-transforming projects. These applications demand developers to deliver consumer experiences of Internet-class quality while ensuring deep integration with enterprise apps. Stacksync offers a straightforward and comprehensive architecture to meet the growing complexity of these business requirements.
How Stacksync Works
Stacksync operates by creating a user-defined subset of objects and fields from HubSpot, mapping them into corresponding tables in a Postgres database or a data warehouse like Snowflake, Google BigQuery, Databricks, and more. This mapping process is declarative, accomplished through a point-and-click user interface, and populated initially by reading HubSpot data. The entire setup process is code-free and can be completed in less than 5 minutes, even by non-technical users.
Because the data model in Postgres mirrors the HubSpot schema, you can view the data and types exactly as they exist in HubSpot within the Postgres database.
Stacksync’s features include:
SQL Access to HubSpot data: SQL serves as the common language for developers and data professionals, enabling the full potential of SQL for all development and data management tasks by bringing HubSpot data into Postgres.
Two-way synchronization: Stacksync transforms your database into a read+write interface for your CRM, simplifying data operations with SQL queries in the database. Any updates made in your database instantly sync with your CRM and vice versa, offering reliable real-time data with Stacksync’s seamless operation.
Optimized HubSpot API interactions: Stacksync employs best practices for interacting with the HubSpot API, dynamically selecting the most efficient and high-performing API strategy based on the system’s state and data requirements.
Performance and scalability: Stacksync’s data statefully stored in the database allows Postgres to function as an API cache, swiftly responding to read requests without the need for additional calls to HubSpot. This setup leverages Postgres features, including indices, extensions, and specialized data types, to scale real-time data access.
Connect and forget: Once HubSpot data is configured for synchronization into Postgres, Stacksync operates seamlessly without the need for ongoing administration. There’s no programming, scheduling, or workflow creation required. Similar to HubSpot, Stacksync is a multi-tenant service, eliminating the need for software installation or management.