Two-way sync
Changes in Agiloft or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Agiloft and SQL Server 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 Agiloft 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 SQL Server.
Stacksync mirrors Approvals, Tasks, Clause Library, Custom tables from Agiloft into Primary and Unique Keys, CDC Change Tables, Stored Procedures, Databases in SQL Server 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 Agiloft, so the tool and the database never disagree.
Updates in Agiloft arrive as row changes in SQL Server, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Agiloft are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.
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.
| Agiloft objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Companies Records for every organization - counterparties, vendors, customers - linked to contracts and people; read and written to keep account master data aligned with a CRM or ERP. | Databases Instance-level databases that scope a sync's reads and writes. | Companies is specific to Agiloft and Databases to SQL Server — each maps to any object or custom field on the other side. | |
| People Parent table for individuals, split into Employees (internal users) and Contacts (external company contacts); synced to map signers, approvers, and account owners to CRM or HR records. | Schemas Namespaces (dbo and custom) used to organize synced tables. | People is specific to Agiloft and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Attachments File records holding the executed contract PDFs and supporting documents linked to a contract; read to pull signed files out, or written to push generated documents in. | Tables The primary sync target; rows map to records in connected systems. | Attachments is specific to Agiloft and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Approvals Per-record approval instances generated from Approval Templates and Workflows; read to report approval status and cycle time, or written to trigger and record decisions. | Views Read-side projections used as outbound sync sources. | Approvals is specific to Agiloft and Views to SQL Server — each maps to any object or custom field on the other side. | |
| Tasks Assigned action items with owners, due dates, and states tied to contracts or projects; synced two-way to surface Agiloft work inside a PM or operations system. | Columns Field-level mapping targets with T-SQL types. | Tasks is specific to Agiloft and Columns to SQL Server — each maps to any object or custom field on the other side. | |
| Clause Library Reusable, approved contract clauses with metadata and categories; read to feed clause content into other systems or reporting, or maintained from an external source of truth. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Clause Library is specific to Agiloft and Primary and Unique Keys to SQL Server — 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.
DetectionAgiloft notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL.
DeliveryEach detected change is applied to SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Agiloft through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Agiloft–SQL Server connection.
Changes in Agiloft or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Agiloft or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Agiloft or SQL Server record.
Track your Agiloft ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Agiloft and SQL Server.
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 Agiloft and SQL Server 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 Agiloft and SQL Server 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 Agiloft and SQL Server: authenticate both systems, choose the objects to sync (such as Agiloft's Companies and People), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Agiloft side: Approvals, Tasks, Clause Library, Custom tables, plus custom fields where Agiloft exposes them. On the SQL Server side: Primary and Unique Keys, CDC Change Tables, Stored Procedures, Databases. 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 Agiloft and SQL Server: React to changes as they happen; One integration pattern for the whole stack; Read Agiloft with a query. Updates in Agiloft arrive as row changes in SQL Server, so triggers, jobs, and services can respond in near real time.
Agiloft: REST API (/ewws/rest/{kb}) and SOAP/EWS v2 web services (EWWSv2Service WSDL), plus a native Webhooks subscription API. Authentication: OAuth 2.0 via OAuth2 Client Setup - Authorization Code with PKCE for user-delegated apps and Client Credentials for machine-to-machine; also JWT tokens or Basic Auth with a session token from POST /ewws/rest/{kb}/login. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Agiloft: Native webhooks fire on record create, edit, or delete, and Agiloft verifies the callback URL with a GET handshake before delivering events; register them via POST /ewws/webhooks. SQL Server: Native Change Data Capture reads inserts, updates, and deletes from the transaction log into change tables without touching application code. Stacksync's field mapping accounts for these differences between Agiloft and SQL Server 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 440 integrations available for Agiloft and SQL Server.