AWS Aurora PostgreSQL to Streak CRM integration — real-time, two-way sync

Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Streak CRM: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.

On the Streak CRM side: Email threads, Custom fields, Pipelines, Boxes, plus custom fields where Streak CRM exposes them. On the AWS Aurora PostgreSQL side: Tables, Rows, Columns, Primary keys and constraints. Stacksync auto-detects both schemas and converts types between the two systems.

Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.

Common patterns for AWS Aurora PostgreSQL and Streak CRM: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Streak CRM become tables in AWS Aurora PostgreSQL you can join with application data directly.

AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Streak CRM: REST API. Authentication: API key issued per user. Stacksync manages authentication, retries, and rate limits on both sides.

Streak CRM: Streak runs inside Gmail as an extension, so its boxes link directly to email threads rather than to a standalone activity log. AWS Aurora PostgreSQL: Aurora's storage layer replicates data six ways across three Availability Zones and is shared by up to 15 read replicas. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Streak CRM without custom code.