Two-way sync
Changes in Neo4j or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Neo4j and Starburst Enterprise in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Neo4j's rows in Starburst Enterprise, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Neo4j where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Neo4j sync into Starburst Enterprise in real time, and result tables in Starburst Enterprise sync back into Neo4j, with schema and type mapping between the two systems handled for you.
Rows from Neo4j land in Starburst Enterprise as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Starburst Enterprise sync into Neo4j, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 | Starburst Enterprise objects | |
|---|---|---|
| Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. | |
| Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Tables Queryable relations; writes pass through to sources whose connectors support them. | |
| Users & Roles Security principals controlling what an integration credential can query or modify. | Views Engine-level SQL views used to shape federated data before syncing it out. | |
| Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Materialized views Precomputed results that make repeated sync reads cheaper. | |
| Relationships Typed, directed edges that carry the connections syncs exist to model. | Columns Typed per the Trino type system, mapped from each source's native types. | |
| Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Neo4j–Starburst Enterprise connection.
Changes in Neo4j or Starburst Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Neo4j or Starburst Enterprise 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 Starburst Enterprise record.
Track your Neo4j ⇄ Starburst Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Neo4j and Starburst Enterprise.
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 Starburst Enterprise 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 Starburst Enterprise 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 Neo4j and Starburst Enterprise: authenticate both systems, choose the objects to sync (such as Neo4j's Indexes & Constraints and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Starburst Enterprise: ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol. Authentication: Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos. Stacksync manages authentication, retries, and rate limits on both sides.
Starburst Enterprise: It is built on open-source Trino, so Trino drivers, clients, and SQL semantics apply. Neo4j: Schema is optional, but uniqueness constraints and indexes are the standard way to make keyed syncs deterministic. Stacksync's field mapping accounts for these differences between Neo4j and Starburst Enterprise 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 Starburst Enterprise records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Neo4j and Starburst Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Neo4j–Starburst Enterprise integration in-house.
Yes — Stacksync ships production-grade connectors for both Neo4j and Starburst Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Starburst Enterprise.