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FASTEST, MOST RELIABLE CDC AND ETL

Stream data from Salesforce to Amazon SNS

Move data from Salesforce to Amazon SNS in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.

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  • 30-day free trial
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  • 200+Of connectors
  • 5500+Active users
  • <100msEnd-to-end latency
  • 7+GB/secSingle dataflow

How to integrate Salesforce with Amazon SNS in 3 simple steps

1

Connect Salesforce as your data source

Set up a source connector for Salesforce in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.

2

Configure Amazon SNS as your destination connector

Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Amazon SNS.

3

Deploy and Monitor Your End-to-End Data Pipeline

Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

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Salesforce connector details

The Salesforce connector captures standard and custom Salesforce objects into Estuary collections using a hybrid approach that combines the Bulk API 2.0 for backfills and the REST API for incremental updates. It’s designed to efficiently sync large Salesforce datasets while maintaining high performance and accuracy for both standard and custom fields.

  • High-performance data ingestion: Uses Bulk API 2.0 for initial and backfill loads, achieving faster throughput while preserving REST API call limits.
  • Automatic formula field refresh: Keeps formula fields up to date by automatically re-querying their values on a customizable schedule, even though Salesforce doesn’t track these changes natively.
  • Custom object and field support: Accurately captures custom Salesforce objects and fields, including complex data types and relationships.
  • Granular configuration options: Supports OAuth or Username, Password, and Security Token authentication, with optional sandbox mode and adjustable query window sizes.
  • Optimized for large orgs: Allows selective capture of specific objects or fields to minimize load, and supports creating dedicated read-only users for scoped access.
  • Incremental and backfill sync: Captures historical data during initial setup, then transitions seamlessly to incremental updates for continuous synchronization.

💡 Tip: Schedule periodic formula field refreshes (via the schedule property) to ensure calculated values remain accurate across your downstream systems, especially for reports or analytics dependent on derived fields.

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See how Envoy uses Salesforce

For more details about the Salesforce connector, check out the documentation page.

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Amazon SNS connector details

The Amazon SNS materialization connector in Estuary delivers data from your pipelines directly into your destination system — continuously and in real time. Using merge-based writes, Estuary efficiently updates only changed records, ensuring your destination stays perfectly in sync without unnecessary reprocessing. Whether for analytics, AI, or operational use cases, Estuary provides a reliable, cost-efficient way to keep Amazon SNS up to date.
  • Merge-based materializations to sync only what's changed
  • Low-latency delivery from streaming and batch sources
  • Automatic schema alignment so your destination matches your pipeline's evolving data
  • Flexible deployment models, including BYOC and hybrid for enterprise governance
  • Unified streaming + batch outputs in a single tool
  • End-to-end security and compliance for sensitive data workloads

For more details about the Amazon SNS connector, check out the documentation page.

Estuary in action

See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.

Spend 2-5x less

Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

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Salesforce to Amazon SNS pricing estimate

$1,000 / month
800 GB of data moved
2 connector instances

Estimated monthly cost to move 800 GB from Salesforce to Amazon SNS is approximately $1,000.

Data moved

Choose how much data you want to move from Salesforce to Amazon SNS each month.

GB

Choose number of sources and destinations.

US VS THE REST

Why pay more?

Move the same data for a fraction of the cost.

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What customers are saying

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Maximilian Seifert

CTO, Cosuno

Estuary just works. We’ve never had an incident, and it cut our data movement costs in half.

Read the Success Story
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Keat Min Woo


We didn’t want to be locked into a system where faster syncs meant higher bills. Estuary gives us real-time pipelines without pricing games or the burden of running Kafka ourselves.

Read the Success Story

Getting started with Estuary

  • Free account

    Getting started with Estuary is simple. Sign up for a free account.

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  • Docs

    Make sure you read through the documentation, especially the get started section.

    Learn more
  • Community

    Join the Slack community for the easiest way to get support while getting started.

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  • Estuary 101

    Watch the Estuary 101 webinar for a guided introduction to using Estuary.

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QUESTIONS? FEEL FREE TO CONTACT US ANY TIME!

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Frequently Asked Questions

    How is pricing calculated for moving data from Salesforce to Amazon SNS?

    Pricing is based on the volume of data moved and the number of active connectors. Use the pricing estimator above to see an estimated monthly cost for your Salesforce to Amazon SNS pipeline.

    Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.

    Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.

    Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.

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