Real-time
Two-way sync
Changes in Agiloft or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Agiloft to Neo4j integration — real-time, two-way sync
Keep Agiloft and Neo4j in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Agiloft and Neo4j
Mirror Agiloft's data into Neo4j so your own code can read and write it like any other table, with changes flowing both ways in seconds.
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 Neo4j.
Stacksync mirrors Contracts, Companies, People, Attachments from Agiloft into Nodes, Relationships, Properties, Labels in Neo4j 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.
Common use cases
- 01 Two-way sync Contracts between Agiloft and an ERP or warehouse so value, renewal dates, and status stay current without manual re-keying.
- 02 Push generated documents and executed PDFs into Agiloft Attachments from a document system, or pull signed contracts out for archival.
- 03 Sync product catalog and order history into Neo4j to power recommendation queries.
- 04 Feed identity and access data into a graph for entitlement and blast-radius analysis.
Common sync patterns
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Agiloft with a query
Records from Agiloft are ordinary rows in Neo4j; join them, index them, and use them in application logic without touching the vendor API.
Automate Agiloft from your codebase
Write to the synced tables in Neo4j and Stacksync propagates the change into Agiloft, replacing custom integration code.
What you can sync between Agiloft and Neo4j
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 | Neo4j 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. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Companies is specific to Agiloft and Nodes to Neo4j — 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. | Relationships Typed, directed edges that carry the connections syncs exist to model. | People is specific to Agiloft and Relationships to Neo4j — 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. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Attachments is specific to Agiloft and Properties to Neo4j — 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. | Labels Node type markers used to map source tables or objects onto the graph. | Approvals is specific to Agiloft and Labels to Neo4j — 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. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Tasks is specific to Agiloft and Indexes & Constraints to Neo4j — 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. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Clause Library is specific to Agiloft and Databases to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between Agiloft and Neo4j
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.
Agiloft Neo4j Sub-second propagation
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 written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j Agiloft Sub-second propagation
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
DeliveryEach detected change is written to Agiloft through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Agiloft: Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
What ships with Agiloft ⇄ Neo4j
Connect Agiloft and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Agiloft–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Agiloft or Neo4j data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Agiloft or Neo4j record.
Observability
Monitoring
Track your Agiloft ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Agiloft and Neo4j.
How the Agiloft and Neo4j connectors work
Agiloft
- Integration surface
- 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
- Change detection
- Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log.
- Capabilities
- read · write · webhooks
- Rate limits
- Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
How it works
How to connect Agiloft to Neo4j — three steps, no code
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.
- 01
Connect your apps
Authenticate Agiloft and Neo4j with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Agiloft
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Agiloft and Neo4j 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.
objects · Agiloft ⇄ Neo4jCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Agiloft Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Agiloft and Neo4j integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Agiloft and Neo4j: 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.
-
Change detection on Agiloft: Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log. On Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Agiloft side: Contracts, Companies, People, Attachments, plus custom fields where Agiloft exposes them. On the Neo4j side: Nodes, Relationships, Properties, Labels. 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 Neo4j: One integration pattern for the whole stack; Read Agiloft with a query; Automate Agiloft from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
-
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. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 418 integrations available for Agiloft and Neo4j.
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