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Communications ⇄ Data warehouse

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

Keep Amazon SES and Apache Hive 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 Apache Hive

Land the messages, calls, and events from Amazon SES in Apache Hive 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 Email Templates, Suppression List, Verified Identities, Configuration Sets from Amazon SES into tables in Apache Hive in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Apache Hive — 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 Two-way sync Contacts and their topic subscription state between the SES contact list and a Postgres database or CRM so opt-outs propagate in both directions.
  • 02 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.
  • 03 Sync new date partitions incrementally instead of rescanning full tables.
  • 04 Publish Hive aggregate tables to a faster serving database for dashboards.

Common sync patterns

Communications analytics without ETL

Messages, calls, and events from Amazon SES arrive in Apache Hive as queryable tables, current within seconds instead of a day behind.

Engagement and delivery on live data

Sends, opens, clicks, bounces, and call outcomes from Amazon SES land in Apache Hive as they happen, so deliverability and response monitoring stop lagging the reality they describe.

Activity joined with everything else

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

What you can sync between Amazon SES and Apache Hive

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 Apache Hive objects How this pairing syncs
Email Templates Reusable subject/HTML/text templates with replacement variables; synced via CreateEmailTemplate, GetEmailTemplate, ListEmailTemplates, and UpdateEmailTemplate. Materialized Views Precomputed results available in newer Hive versions for faster reads. Email Templates is specific to Amazon SES and Materialized Views to Apache Hive — 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. ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Suppression List is specific to Amazon SES and ACID Tables to Apache Hive — each maps to any object or custom field on the other side.
Verified Identities Email-address and domain identities cleared to send; managed via CreateEmailIdentity, ListEmailIdentities, GetEmailIdentity (DKIM and verification status). Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. Verified Identities is specific to Amazon SES and Metastore Catalog to Apache Hive — 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. Databases Metastore namespaces that scope tables and grants. Configuration Sets is specific to Amazon SES and Databases to Apache Hive — 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). Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Sending Events is specific to Amazon SES and Managed Tables to Apache Hive — 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. External Tables Tables over existing files in HDFS or object storage, read without moving data. Messages (SendEmail / SendBulkEmail) is specific to Amazon SES and External Tables to Apache Hive — each maps to any object or custom field on the other side.

How changes propagate between Amazon SES and Apache Hive

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 Apache Hive 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 Apache Hive as a row-level write, with types converted between the two schemas.

Apache Hive Amazon SES Interval-based propagation

DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.

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.
  • Apache Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
What ships with Amazon SES ⇄ Apache Hive

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon SES or Apache Hive 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 Apache Hive record.

Observability

Monitoring

Track your Amazon SES ⇄ Apache Hive 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 Apache Hive.

How the Amazon SES and Apache Hive 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

Apache Hive

Integration surface
SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition values or timestamp columns; no general-purpose change log for external consumers
Capabilities
read · write
Rate limits
No API quotas; query latency reflects the batch-oriented execution engine underneath
How it works

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

    Choose tables

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

Amazon SES and Apache Hive 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 344 integrations available for Amazon SES and Apache Hive.

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