Supermetrics for Amazon Redshift
Connect HubSpot to Amazon Redshift — Inbound Pipeline Intelligence
Load HubSpot CRM deals, contacts, and email campaign data into Amazon Redshift for pipeline and marketing analytics.
Why Connect HubSpot to Amazon Redshift?
Warehouse your HubSpot data in Amazon Redshift for unlimited historical analysis and cross-source SQL.
- Pre-compute deal velocity, stage conversion rates, and pipeline value roll-ups as Redshift materialized views. They refresh automatically as new HubSpot data arrives via Supermetrics, so QuickSight dashboards always show current numbers.
- JOIN HubSpot deal data in Redshift with email engagement logs, webinar registrations, or content downloads sitting in S3 via Spectrum. Calculate full-funnel attribution without loading everything into the cluster.
- Feed HubSpot pipeline data directly into Amazon SageMaker for deal close probability models. Predictions flow back to Redshift and into QuickSight — your sales team sees ML-scored pipeline without leaving AWS.
How to Connect HubSpot 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.
HubSpot Data Schema in Amazon Redshift
Supermetrics creates and maintains clean, typed tables automatically. Here's what your HubSpot data looks like in Amazon Redshift.
Data Freshness & Scheduling
HubSpot data is typically available in Redshift within 3-6 hours of the sync schedule.
What HubSpot Data Can You Pull into Amazon Redshift?
Supermetrics gives Amazon Redshift access to your full HubSpot reporting data — metrics and dimensions you already know from the HubSpot interface.
Key Metrics
- Contacts created
- Deals created
- Deal amount
- Deal close rate
- Closed won deals
- Amount won
- Email open rate
- Email click rate
- Email bounce rate
- Form submissions
- Page views
- Sessions
- MQLs
- SQLs
- Customer count
Key Dimensions
- Deal stage
- Deal pipeline
- Contact lifecycle stage
- Contact source
- Company name
- Company industry
- Owner
- Campaign
- Email name
- Form name
- Landing page
- Lead status
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
The marketing analytics roadmap
Supermetrics + HubSpot integration
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 HubSpot 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 HubSpot data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from HubSpot. 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 HubSpot as your source and Amazon Redshift as the destination. Authorize your HubSpot 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 HubSpot credentials are encrypted at rest and in transit using TLS 1.2+. Data flows directly from the HubSpot 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 HubSpot 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 HubSpot reporting fields are available, including Contacts created, Deals created, Deal amount, Deal close rate, Closed won deals, Amount won, 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 HubSpot Marketing Hub, Sales Hub, and CRM data including contacts, companies, deals, email campaigns, forms, and landing pages.
- Yes. Custom properties for contacts, companies, and deals are available as fields you can load into Redshift.
Also Connect to Amazon Redshift
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