Two-way sync
Changes in Amazon Redshift or Gmail instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Gmail in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Gmail 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 Attachments, History, Messages, Threads from Gmail into tables in Amazon Redshift in real time, handling schema, rate limits, and retries. Because the connection works in both directions, results computed in Amazon Redshift — segments, contact updates, suppression flags — can be written back into fields in Gmail wherever it exposes them, so analysis lands where outreach actually happens.
Sends, opens, clicks, bounces, and call outcomes from Gmail land in Amazon Redshift as they happen, so deliverability and response monitoring stop lagging the reality they describe.
Combine Gmail's activity with the CRM, product, and support data already in Amazon Redshift to attribute outcomes to the touches that drove them, which no single tool can do alone.
Segments, contact fields, or suppression flags computed in Amazon Redshift sync back onto records in Gmail, putting warehouse analysis where the outreach happens.
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 Redshift objects | Gmail objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables and control grants. | Messages Individual emails with headers, body, and label state; read out to a CRM or warehouse for activity logging, and sent or modified two-way from sales tools. | Schemas is specific to Amazon Redshift and Messages to Gmail — each maps to any object or custom field on the other side. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Threads Conversation groupings that keep replies together; synced so a CRM timeline or support desk shows the full exchange, not isolated messages. | Tables is specific to Amazon Redshift and Threads to Gmail — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | Labels User and system labels (INBOX, SENT, custom); applied and removed via sync to mirror pipeline stages or triage states from an external system. | Views is specific to Amazon Redshift and Labels to Gmail — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Drafts Unsent messages; created and updated from templates or sequence tools so reps review before sending from their own mailbox. | Materialized Views is specific to Amazon Redshift and Drafts to Gmail — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Attachments File payloads referenced by message part; read out to storage or a document system for archival and compliance workflows. | External Tables (Spectrum) is specific to Amazon Redshift and Attachments to Gmail — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | History The incremental change log keyed by historyId; used for efficient delta sync so only mailbox changes since the last cursor are fetched. | Stored Procedures is specific to Amazon Redshift and History to Gmail — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
DeliveryEach detected change is written to Gmail through its API, with automatic retries and rate-limit backoff.
DetectionGmail notifies Stacksync of record changes through webhook events. Incremental sync via users.history.list from a stored historyId cursor, plus real-time push notifications through Google Cloud Pub/Sub watch on the.
DeliveryEach detected change is applied to Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Gmail connection.
Changes in Amazon Redshift or Gmail instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Gmail data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Redshift or Gmail record.
Track your Amazon Redshift ⇄ Gmail sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Gmail.
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 Amazon Redshift and Gmail 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 Amazon Redshift and Gmail 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 Amazon Redshift and Gmail: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Amazon Redshift and Gmail: Engagement and delivery on live data; Activity joined with everything else; Where Gmail accepts updates: operational write-back. Sends, opens, clicks, bounces, and call outcomes from Gmail land in Amazon Redshift as they happen, so deliverability and response monitoring stop lagging the reality they describe.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. Gmail: Gmail API (REST, v1). Authentication: OAuth 2.0 via Google — user-authorized consent with granular scopes (gmail.readonly, gmail.modify, gmail.send, gmail.labels); restricted scopes require Google's app verification for production use. Stacksync manages authentication, retries, and rate limits on both sides.
Gmail: A mailbox watch expires after 7 days and must be re-issued; missing the renewal silently stops real-time updates until the next poll. Amazon Redshift: Redshift Spectrum lets queries span external tables on S3, so a sync can read data that never gets loaded into cluster storage. Stacksync's field mapping accounts for these differences between Amazon Redshift and Gmail 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 Amazon Redshift and Gmail 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 393 integrations available for Amazon Redshift and Gmail.