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Communications ⇄ Database

Amazon SES to Neo4j integration — real-time, two-way sync

Keep Amazon SES 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 Amazon SES and Neo4j

Turn the messages, calls, and events Amazon SES handles into live rows in Neo4j, and write back to trigger new outbound communication, with both sides in sync in seconds.

Engineers reach communications tools like Amazon SES through APIs, which means auth tokens, webhooks, delivery callbacks, and rate limits, all maintained forever and all shaped differently for every tool. The data those tools produce, who was contacted, what was sent, and what came back, would be simple to use if it lived in Neo4j next to everything else.

Stacksync mirrors Messages (SendEmail / SendBulkEmail), Contacts, Contact Lists, Email Templates from Amazon SES into Relationships, Properties, Labels, Indexes & Constraints in Neo4j and keeps both sides in sync in real time. Communication activity lands in the database as ordinary rows you can query and join, and rows your code writes, such as a queued outbound message or an updated contact, flow back into Amazon SES so the tool and the database never disagree.

There is no webhook endpoint to host, no rate limit to babysit, and no nightly export that leaves your services reading yesterday's activity.

Common use cases

  • 01 Push warehouse or CRM audience segments into SES as Contacts using CreateContact or a bulk CreateImportJob (up to 1M contacts per job) to feed marketing sends.
  • 02 Stream SES sending events (delivery, bounce, complaint, open, click) from a configuration-set event destination into a warehouse for deliverability reporting.
  • 03 Write computed relationship scores (fraud, influence, similarity) back to operational systems.
  • 04 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.

Common sync patterns

One contact list across both

Recipients and contacts stay consistent between Amazon SES and Neo4j, so a phone number or email corrected on either side is current the next time either system uses it.

React to activity as it happens

Sends, replies, answered calls, or completed meetings arrive in Neo4j as row changes, so triggers, jobs, and services can respond in near real time.

One integration pattern for every channel

Each communications tool looks like tables in the database, so adding email, voice, or messaging is configuration rather than a new codebase.

What you can sync between Amazon SES 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.

Amazon SES objects Neo4j objects How this pairing syncs
Verified Identities Email-address and domain identities cleared to send; managed via CreateEmailIdentity, ListEmailIdentities, GetEmailIdentity (DKIM and verification status). Properties Key-value attributes on both nodes and relationships, mapped from source fields. Verified Identities is specific to Amazon SES and Properties to Neo4j — each maps to any object or custom field on the other side.
Configuration Sets Named send-time rule groups that attach event destinations, IP pools, and suppression options; managed via Create/List ConfigurationSet operations. Labels Node type markers used to map source tables or objects onto the graph. Configuration Sets is specific to Amazon SES and Labels to Neo4j — each maps to any object or custom field on the other side.
Sending Events Per-message send, delivery, bounce, complaint, open, and click events; not on any API, read from a configuration-set event destination (SNS/EventBridge/Firehose). Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. Sending Events is specific to Amazon SES and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side.
Messages (SendEmail / SendBulkEmail) Outbound email is produced via SendEmail and SendBulkEmail, accepting raw MIME or a template plus destination list. Send-only; there is no message store to read back. Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Databases to Neo4j — each maps to any object or custom field on the other side.
Contacts Subscribers in the contact list with per-topic opt-in state; CRUD via CreateContact/ListContacts/UpdateContact/DeleteContact, each carrying a LastUpdatedTimestamp for polling. Users & Roles Security principals controlling what an integration credential can query or modify. Contacts is specific to Amazon SES and Users & Roles to Neo4j — each maps to any object or custom field on the other side.
Contact Lists One list per AWS account, subdivided into Topics that group subscriptions; read and write via CreateContactList and GetContactList. Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. Contact Lists is specific to Amazon SES and Nodes to Neo4j — each maps to any object or custom field on the other side.

How changes propagate between Amazon SES 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.

Amazon SES Neo4j Sub-second propagation

DetectionAmazon SES notifies Stacksync of record changes through webhook events. Message events (delivery, bounce, complaint, open, click) are pushed in near real time through configuration-set event destinations.

DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.

Neo4j Amazon SES 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 Amazon SES through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Amazon SES: Every SES API action except SendEmail, SendRawEmail, and SendTemplatedEmail is throttled to 1 request/second per Region; the send rate and 24-hour sending quota are account-specific, adjustable, and per Region.
What ships with Amazon SES ⇄ Neo4j

Connect Amazon SES and Neo4j for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon SES–Neo4j connection.

Real-time

Two-way sync

Changes in Amazon SES or Neo4j instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon SES 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 Amazon SES or Neo4j record.

Observability

Monitoring

Track your Amazon SES ⇄ Neo4j sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon SES and Neo4j.

How the Amazon SES and Neo4j connectors work

Amazon SES

Integration surface
AWS SES API v2 (REST/JSON over HTTPS) plus an SMTP sending interface
Authentication
AWS IAM credentials (access key + secret) signed with Signature Version 4, or an assumed IAM role via STS; the SMTP interface uses SMTP credentials derived from an IAM user
Change detection
Message events (delivery, bounce, complaint, open, click) are pushed in near real time through configuration-set event destinations (SNS/EventBridge/Firehose); contacts, templates, and suppression entries are polled via List/Get operations
Capabilities
read · write · webhooks
Rate limits
Every SES API action except SendEmail, SendRawEmail, and SendTemplatedEmail is throttled to 1 request/second per Region; the send rate and 24-hour sending quota are account-specific, adjustable, and per Region

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 Amazon SES 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.

  1. 01

    Connect your apps

    Authenticate Amazon SES 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon SES connected
    Neo4j connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon SES 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon SES ⇄ Neo4j
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Amazon SES Neo4j
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon SES and Neo4j integration FAQ

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.

Learn more about security
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 421 integrations available for Amazon SES and Neo4j.

Popular · 7 of 421
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