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Communications ⇄ Data warehouse

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

Keep Amazon SES and Dremio 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 Dremio

Land the messages, calls, and events from Amazon SES in Dremio as live tables, and write results back, without building or maintaining a pipeline.

Amazon SES produces a constant stream of activity — messages sent and received, calls placed and answered, meetings held, and the delivery and engagement events attached to them. That record is what the rest of the company wants to analyze, and it usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay to get it out.

Stacksync syncs Messages (SendEmail / SendBulkEmail), Contacts, Contact Lists, Email Templates from Amazon SES into tables in Dremio in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Dremio — segments, contact updates, suppression flags — can be written back into fields in Amazon SES wherever it exposes them, so analysis lands where outreach actually happens.

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 Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
  • 04 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.

Common sync patterns

Activity joined with everything else

Combine Amazon SES's activity with the CRM, product, and support data already in Dremio to attribute outcomes to the touches that drove them, which no single tool can do alone.

Where Amazon SES accepts updates: operational write-back

Segments, contact fields, or suppression flags computed in Dremio sync back onto records in Amazon SES, putting warehouse analysis where the outreach happens.

Queryable history that outlives retention

A continuously synced copy in Dremio preserves messages, call logs, and events for reporting and audit even as they age out of Amazon SES or get purged inside it.

What you can sync between Amazon SES and Dremio

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 Dremio objects How this pairing syncs
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). Reflections Materialized accelerations that make repeated extraction queries cheaper. Sending Events is specific to Amazon SES and Reflections to Dremio — 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. Jobs Query execution records useful for monitoring sync workloads. Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and Jobs to Dremio — 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. Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. Contacts is specific to Amazon SES and Sources to Dremio — 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. Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. Contact Lists is specific to Amazon SES and Physical datasets to Dremio — each maps to any object or custom field on the other side.
Email Templates Reusable subject/HTML/text templates with replacement variables; synced via CreateEmailTemplate, GetEmailTemplate, ListEmailTemplates, and UpdateEmailTemplate. Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. Email Templates is specific to Amazon SES and Virtual datasets (views) to Dremio — each maps to any object or custom field on the other side.
Suppression List Addresses auto-added on bounce or complaint; read with ListSuppressedDestinations and written with Put/DeleteSuppressedDestination to control re-sends. Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. Suppression List is specific to Amazon SES and Apache Iceberg tables to Dremio — each maps to any object or custom field on the other side.

How changes propagate between Amazon SES and Dremio

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 Dremio 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 applied to Dremio as a row-level write, with types converted between the two schemas.

Dremio Amazon SES Interval-based propagation

DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.

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.
  • Dremio: Bounded by engine capacity and workload management rather than API rate limits.
What ships with Amazon SES ⇄ Dremio

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon SES or Dremio 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 Dremio record.

Observability

Monitoring

Track your Amazon SES ⇄ Dremio 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 Dremio.

How the Amazon SES and Dremio 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

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits
How it works

How to connect Amazon SES to Dremio — 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 Dremio 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
    Dremio connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon SES and Dremio 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 ⇄ Dremio
    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 Dremio
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon SES and Dremio 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.

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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 338 integrations available for Amazon SES and Dremio.

Popular · 7 of 338
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