Introducing Stacksync for Salesforce: connecting clouds and data.
Modern Data Stack
News and Updates
Stacksync offers real-time and two-way synchronization between Salesforce and databases like Postgres, Snowflake, Google BigQuery, and Databricks. It simplifies data harmonization between Salesforce and Postgres, providing a unified application experience without complex integration efforts. Stacksync empowers developers with SQL access to Salesforce data, offers two-way sync for real-time consistency, optimizes Salesforce 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 presents an innovative synchronization service, akin to well-known platforms like Dropbox or iCloud, designed to seamlessly harmonize data between a Salesforce deployment and a Stacksync Postgres database. This groundbreaking solution unites the data layers of Salesforce and Stacksync, enabling data to seamlessly mirror between each cloud’s native database. The result is a unified application experience that harnesses the unique capabilities of both platforms without the need for intricate translation or integration efforts.
Stacksync + Salesforce: A Synergy of Cloud Powerhouses
Salesforce and Cloud Databases/Data Warehouses, although distinct in their offerings, share a cloud-based lineage. Each boasts its own set of semantics and high-level services. Salesforce caters to enterprise applications, while Databases/Data Warehouses focus on building analytical and data activation capabilities for enterprises.
Data consolidation between CRMs and Databases is a must to activate enterprise data and deliver insights at scale.
Standard SQL emerges as the universal bridge connecting these cloud domains. Virtually every application framework, from Rails and Django to Symphony and Sinatra, is designed to seamlessly interact with standard SQL. With Stacksync, Salesforce data becomes a first-class element within virtually any stack, directly accessible from a database.
Ambitious Endeavors Powered by Stacksync
Customers of Stacksync and Salesforce are embarking on groundbreaking projects with far-reaching implications for their industries. These projects necessitate developers to deliver top-notch consumer experiences while seamlessly integrating deep business processes with enterprise applications. Stacksync provides a straightforward, comprehensive architecture to meet these increasingly intricate business requirements.
How Stacksync Works
Stacksync operates by mapping a user-specified subset of objects and fields from a Salesforce deployment into corresponding tables within a Postgres database or data warehouses like Snowflake, Google BigQuery, Databricks, and more. This mapping is executed declaratively through an intuitive point-and-click user interface, with the initial data population being entirely no-code and achievable in less than five minutes, even for non-technical users.
Because the data model for Postgres directly mirrors the Salesforce schema, you can visualize the data and its types exactly as they exist within Salesforce, right within the Postgres database.
Key Features of Stacksync:
SQL Access to Salesforce Data: SQL serves as the lingua franca for developers and data professionals, making it the common thread in application development. By importing Salesforce data into Postgres, Stacksync unleashes the full power of SQL for all your development and data management tasks.
Two-way Sync: Stacksync transforms your database into a read+write interface for your CRM. Instead of juggling data through APIs, perform read and write operations using familiar SQL queries. Any data updates in your database instantaneously synchronize with your CRM and vice versa, providing real-time data consistency — a hallmark feature of Stacksync.
Optimized Salesforce API Interactions: Stacksync employs a robust set of best practices when interacting with the Salesforce API. It dynamically selects the most efficient and high-performing API strategy based on the system’s state, ensuring optimal performance.
Performance and Scalability: As all data is stored in the database, Stacksync allows Postgres to act as an API cache, rapidly responding to read requests without the need for Salesforce calls. Leverage the full spectrum of Postgres features, including indices, extensions, and specialized data types, to scale real-time data access.
Connect and Forget: Once a developer or business user configures the Salesforce data they wish to synchronize into Postgres, Stacksync operates seamlessly without requiring additional administration. No programming, scheduling, or workflow creation is necessary. Like Salesforce, Stacksync operates as a multi-tenant service, eliminating the need for software installation or management.