Real-time sync
Changes in Neo4j or SuiteAnalytics instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j and SuiteAnalytics in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
SuiteAnalytics is a read-only source: Stacksync reads its data in real time and delivers it into Neo4j, so Neo4j always reflects the current state of SuiteAnalytics — without exports, scripts, or schedulers.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Accounting Period, Bin Transfer, Currency Rate, Price Level from SuiteAnalytics into Neo4j and keeps both sides consistent in real time. Whatever SuiteAnalytics is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Neo4j sync back into SuiteAnalytics with its validations respected.
Choose exactly which tables and fields may flow from Neo4j back into SuiteAnalytics, keeping the ERP authoritative.
Records from SuiteAnalytics live in Neo4j as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the SuiteAnalytics interface, limits, and retries.
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.
| Neo4j objects | SuiteAnalytics objects | |
|---|---|---|
| Labels Node type markers used to map source tables or objects onto the graph. | Sales Tax Item Synced with incremental and full sync per the Stacksync docs. | |
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Billing Schedule Customer Subsidiary Relationship Synced with incremental and full sync per the Stacksync docs. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Account Synced with incremental and full sync per the Stacksync docs. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Accounting Period Synced with incremental and full sync per the Stacksync docs. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Bin Transfer Synced with incremental and full sync per the Stacksync docs. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Currency Rate Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–SuiteAnalytics connection.
Changes in Neo4j or SuiteAnalytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or SuiteAnalytics data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Neo4j or SuiteAnalytics record.
Track your Neo4j ⇄ SuiteAnalytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and SuiteAnalytics.
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 Neo4j and SuiteAnalytics 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 Neo4j and SuiteAnalytics 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 integration between Neo4j and SuiteAnalytics — SuiteAnalytics is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
SuiteAnalytics is a read-only source, so this integration runs one-way: Stacksync reads from SuiteAnalytics in real time and delivers into Neo4j. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Neo4j and SuiteAnalytics: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Neo4j back into SuiteAnalytics, keeping the ERP authoritative.
Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. SuiteAnalytics: SQL over ODBC, JDBC, and ADO.NET (SuiteAnalytics Connect). Authentication: NetSuite Token-Based Authentication: create an integration record (Consumer ID + Consumer Secret), an access token (Token ID + Token Secret), a role with SuiteAnalytics Connect and SuiteAnalytics Connect - Read All. Stacksync manages authentication, retries, and rate limits on both sides.
Neo4j: Schema is optional, but uniqueness constraints and indexes are the standard way to make keyed syncs deterministic. SuiteAnalytics: Setup requires an Administrator role (or a role with equivalent NetSuite permissions) to enable features and create tokens. Stacksync's field mapping accounts for these differences between Neo4j and SuiteAnalytics without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Neo4j and SuiteAnalytics records are not retained after a sync operation.
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 386 integrations available for Neo4j and SuiteAnalytics.