Two-way sync
Changes in AWS Aurora PostgreSQL or Docusign instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Docusign in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Docusign through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora PostgreSQL.
Stacksync mirrors Recipients, Documents, Templates, Tabs (form fields) from Docusign into Foreign keys, Replication slots and publications, Databases and schemas, Tables in AWS Aurora PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Docusign, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Docusign are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Docusign, replacing custom integration code.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| AWS Aurora PostgreSQL objects | Docusign objects | How this pairing syncs | |
|---|---|---|---|
| Replication slots and publications The logical replication objects that power log-based CDC. | Users Account members and senders; the eSignature Users resource exposes them for attribution and reporting, while bulk org-wide user provisioning uses the separate Admin API. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Users to Docusign — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Envelopes The core container for a signature request — documents, recipients, routing, and status; read status and metadata two-way, and create/send new envelopes. | Databases and schemas is specific to AWS Aurora PostgreSQL and Envelopes to Docusign — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Recipients Signers, carbon copies, and agents on an envelope, each with a routing order and status; read recipient progress, write recipient lists when an envelope is created. | Tables is specific to AWS Aurora PostgreSQL and Recipients to Docusign — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Documents The PDF files inside an envelope plus the certificate of completion; read signed output out to a store, or supply source documents on create. | Rows is specific to AWS Aurora PostgreSQL and Documents to Docusign — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Templates Reusable envelope definitions with predefined recipients and tab placement; read to map fields and referenced by ID to generate new envelopes. | Columns is specific to AWS Aurora PostgreSQL and Templates to Docusign — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Tabs (form fields) Signature, initial, date, text, and checkbox fields on a document; they carry the data a signer entered and are read out into databases. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Tabs (form fields) to Docusign — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to Docusign through its API, with automatic retries and rate-limit backoff.
DetectionDocusign notifies Stacksync of record changes through webhook events. Docusign Connect webhooks push envelope and recipient status-change events in real time.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Docusign connection.
Changes in AWS Aurora PostgreSQL or Docusign instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Docusign data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Docusign record.
Track your AWS Aurora PostgreSQL ⇄ Docusign sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Docusign.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate AWS Aurora PostgreSQL and Docusign with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the AWS Aurora PostgreSQL and Docusign objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Docusign: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Replication slots and publications and Databases and schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Docusign side: Recipients, Documents, Templates, Tabs (form fields), plus custom fields where Docusign exposes them. On the AWS Aurora PostgreSQL side: Foreign keys, Replication slots and publications, Databases and schemas, Tables. 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 Docusign: One integration pattern for the whole stack; Read Docusign with a query; Automate Docusign from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Docusign: ESignature REST API v2.1 (plus Docusign Connect webhooks; separate CLM, Rooms, and Admin APIs). Authentication: OAuth 2.0 — Authorization Code Grant for interactive apps, or JWT Grant (RSA key pair with user impersonation) for server-to-server integrations. Stacksync manages authentication, retries, and rate limits on both sides.
Docusign: Docusign strictly limits polling to once every 15 minutes per envelope and recommends Connect webhooks instead for detecting status changes. 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 Docusign without custom code.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 457 integrations available for AWS Aurora PostgreSQL and Docusign.