Supermetrics for Amazon Redshift
Connect Salesforce to Amazon Redshift — Sales Pipeline Data Warehouse
Load Salesforce opportunity, lead, and campaign data into Amazon Redshift for pipeline and revenue analytics.
Why Connect Salesforce to Amazon Redshift?
Warehouse your Salesforce data in Amazon Redshift for unlimited historical analysis and cross-source SQL.
- Pre-compute pipeline velocity, stage conversion rates, and weighted forecasts as Redshift materialized views. They refresh automatically as new Salesforce data loads — QuickSight reads pre-computed results in milliseconds.
- JOIN Salesforce opportunities with contract PDFs, NDA metadata, or legal review data sitting in S3 via Spectrum. Build complete deal lifecycle analytics without loading everything into the cluster.
- Feed Salesforce pipeline data directly into Amazon SageMaker for close probability models. Push predictions back to Redshift, then surface them in QuickSight dashboards so your sales team sees ML-scored pipeline inside AWS.
How to Connect Salesforce to Amazon Redshift
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Amazon Redshift as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Redshift cluster endpoint and credentials, choose your schema, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into Redshift via S3 COPY automatically.
Salesforce Data Schema in Amazon Redshift
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Salesforce data looks like in Amazon Redshift.
Data Freshness & Scheduling
Salesforce data is typically available in Redshift within 3-6 hours of the sync schedule.
What Salesforce Data Can You Pull into Amazon Redshift?
Supermetrics gives Amazon Redshift access to your full Salesforce reporting data — metrics and dimensions you already know from the Salesforce interface.
Key Metrics
- Opportunity count
- Amount won
- Hit rate
- Average amount per opportunity
- Age (days)
- Leads count
- Amount
- Expected revenue
- Probability
Key Dimensions
- Opportunity stage
- Account name
- Account industry
- Owner
- Lead source
- Product name
- Close date
- Campaign name
- Case type
- Case priority
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
Why Supermetrics for Amazon Redshift?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in Amazon Redshift — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Salesforce records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Enterprise-Grade Security
SOC 2 Type II certified. GDPR and CCPA compliant. OAuth authentication with encrypted credentials. Regional data hosting available. Your data is protected end-to-end.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Salesforce data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from Salesforce. No field restrictions, no record limits — your complete dataset, ready for analysis.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select Salesforce as your source and Amazon Redshift as the destination. Authorize your Salesforce account, provide your Redshift cluster endpoint and credentials, choose your target schema and table naming conventions, select the fields you need, set a schedule, and start the transfer. Supermetrics loads data using optimized S3 COPY commands — the same high-throughput path AWS recommends for bulk ingestion — so no custom ETL pipelines, AWS Glue jobs, or staging buckets are required.
- Supermetrics is SOC 2 Type II certified and GDPR compliant. All Salesforce credentials are encrypted at rest and in transit using TLS 1.2+. Data flows directly from the Salesforce API to your Redshift cluster — Supermetrics never stores your marketing data on its own servers. On the AWS side, your VPC isolation keeps the cluster off the public internet, IAM policies restrict which roles can access the data, and S3 server-side encryption protects any intermediate staging objects. You retain full control of your security perimeter.
- Absolutely — cross-source analysis is where Redshift shines in the AWS ecosystem. Once Salesforce data lands in your cluster, you can JOIN it with any other table in the same schema. Need to enrich it with raw event logs or clickstream data sitting in S3? Redshift Spectrum lets you query those external files directly without loading them, so your cluster stays lean while your analysis spans petabytes. Supermetrics supports 170+ data sources that all land in the same Redshift schema, and you can optimize JOIN performance further with DISTKEY and SORTKEY settings on frequently queried columns.
- All standard Salesforce reporting fields are available, including Opportunity count, Amount won, Hit rate, Average amount per opportunity, Age (days), Leads count, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data already loaded into Redshift. Because Redshift uses columnar storage, queries that scan only a few selected metrics out of a wide table are extremely fast — the engine skips unneeded columns at the disk level, reducing I/O and keeping your analytics snappy.
- Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Redshift. Most teams schedule daily transfers so yesterday's final numbers are ready each morning. Incremental loading means only new and changed records are written via optimized S3 COPY commands, keeping cluster load minimal. If you define a SORTKEY on your date column, Redshift can skip entire disk blocks during time-range queries, making your morning dashboards in QuickSight or Tableau load in seconds.
- The connector supports opportunities, leads, accounts, contacts, campaigns, cases, and custom objects. Standard and custom fields are available.
- Yes. Incremental loads capture deal stage changes, so you can build pipeline progression and stage duration analyses with SQL.
Also Connect to Amazon Redshift
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