Amazon Redshift + OWOX Data Marts. Spreadsheet reporting and AI Insights on autopilot.
Build data marts on Amazon Redshift. Automate reporting to Google Sheets and BI tools. Get AI Insights delivered to Slack, email, or Teams.
Available connectors for AWS Redshift
Available connectors for AWS Redshift
- AWS Redshift Connector to ChatGPT
- AWS Redshift Connector to Claude
- Bank of Canada Connector to AWS Redshift1 endpoint3 fieldsExchange Rates
- Criteo Ads to AWS Redshift Connector4 endpoints196 fieldsPlacement Categories, Placements, Statistics, Transactions
- Facebook Ads to AWS Redshift Connector15 endpoints1,172 fieldsAd, Ad Account, Ad Account User, Ad Creatives, Ad Insights, Ad Insights by Ad Set, Ad Insights by Age and Gender, Ad Insights by Campaign, Ad Insights by Country, Ad Insights by Device Platform, Ad Insights by Link URL Asset, Ad Insights by Product ID, Ad Insights by Publisher Platform and Position, Ad Insights by Region, Ads
- GitHub Connector to AWS Redshift3 endpoints54 fieldsRepository Contributors, Repository Information, Repository Statistics
- Google Ads to AWS Redshift Connector9 endpoints166 fieldsAd Group Ads Stats, Ad Groups, Ad Groups Stats, Campaigns, Campaigns Stats, Criterion, Geo Stats, Geo Target Constants, Keywords Stats
- Google Sheets Connector to AWS Redshift
- LinkedIn Ads to AWS Redshift Connector5 endpoints175 fieldsAd Accounts, Ad Analytics, Campaign Groups, Campaigns, Creatives
- LinkedIn Pages to AWS Redshift Connector2 endpoints18 fieldsFollower Statistics, Time-Bound Follower Statistics
- Microsoft Ads to AWS Redshift Connector3 endpoints225 fieldsAd Performance Report, Campaigns, User Location Performance Report
- Open Exchange Rates to AWS Redshift Connector1 endpoint4 fieldsHistorical exchange rates data
- Open Holidays Connector to AWS Redshift1 endpoint7 fieldsPublic Holidays
- Reddit Ads to AWS Redshift Connector18 endpoints675 fieldsAd Account, Ad Account User, Ad Groups, Ad Performance, Ad Performance by Account, Ad Performance by Ad Group, Ad Performance by Campaign, Ad Performance by Community, Ad Performance by Country, Ad Performance by DMA, Ad Performance by Interest, Ad Performance by Keyword, Ad Performance by Placement, Ads, Campaigns, Custom Audiences, Funding Instruments, Lead Gen Forms
- Shopify to AWS Redshift Connector25 endpoints337 fieldsAbandoned Checkouts, Article Metafields, Articles, Blog Metafields, Blogs, Collection Metafields, Collections, Customer Metafields, Customers, Discount Codes, Fulfillment Orders, Inventory Items, Location Metafields, Locations, Order Metafields, Orders, Page Metafields, Pages, Product Metafields, Product Variant Metafields, Product Variants, Products, Shop, Shop Metafields, Tender Transactions
- TikTok Ads to AWS Redshift Connector7 endpoints217 fieldsAd Groups, Ad Performance, Ad Performance by Country, Ads, Advertiser Account, Campaigns, Custom Audiences
- X Ads to AWS Redshift Connector10 endpoints187 fieldsAccounts, Ad Performance, Ad Performance by Country, All Cards, Campaigns, Cards, Line Items, Promoted Tweets, Targeting Locations, Tweets
- AWS Redshift Connector to API
- AWS Redshift Connector to Data Studio
- AWS Redshift Connector to Microsoft Excel
- AWS Redshift Insights to Email
- AWS Redshift Insights to Google Chat
- AWS Redshift Insights to Microsoft Teams
- AWS Redshift Insights to Slack
- Redshift Connector to Google Sheets Reporting System
- 0.33.0Calculated Fields in the Output Schema
- 0.32.0Data Last Updated Date for AWS Redshift, AWS Athena, Snowflake, and Databricks
- 0.27.0Output controls expanded to Athena, Legacy BigQuery, and Redshift
- 0.27.0Automatic schema evolution for Snowflake and Redshift
- 0.24.0Joinable Data Marts and joined reports
R01 · Data storage
What is Amazon Redshift data storage?
Good analytics starts with data ownership. You don’t own your business data until it lives in your own data warehouse — not inside ad platforms or CRMs.
- Collect raw data from ad platforms, CRMs, and tools directly into Redshift
- Model it into trusted data marts using SQL, tables, or views
- Reuse the same marts across Sheets, Data Studio, and AI Insights
R02 · Who it is for
Who is Redshift with OWOX for?
Teams running on AWS who want one warehouse powering all reports, dashboards, and insights — without duplicating logic across tools.
- AWS-native data teams running analytics on Redshift
- Marketing and finance teams needing consistent cross-channel reporting
- Companies building self-service analytics with AI Insights
R03 · Why teams pick OWOX
Why use OWOX Data Marts with Amazon Redshift?
Amazon Redshift gives you the warehouse. OWOX gives your business teams a way to actually use it. Define a data mart in SQL, and OWOX handles delivery to spreadsheets, dashboards, and AI-powered summaries.
R04 · How it works
How to use Redshift with OWOX Data Marts
- Store all business data in a single AWS-native data warehouse
- Automatically ingest raw data from ads, analytics, and business tools
- Build Redshift-native Data Marts using SQL, tables, or views
- Optimize analytics using Redshift’s columnar storage
- Power BI dashboards, spreadsheets, and AI Insights from Redshift
- Schedule reports, analyses, or AI Insights to Slack, email, or other destinations
Why OWOX as a companion to Amazon Redshift
One data warehouse, full picture
All your business data in Redshift — one place for ownership, governance, and consistency.
Raw detail, no sampling
Full granularity from every platform, stored directly — no sampling, no aggregation loss.
Always fresh
Refresh on your schedule: hourly, daily, or every 15 minutes.
Less rework, more output
Model data once at the data warehouse level. No duplicated pipelines or broken dashboards.
Reusable across tools
Same data marts work in Sheets, Data Studio, Power BI — no logic rebuilds.
Confident decisions
Trusted, centralized data means fewer debates and faster action across teams.
Not testimonials. Comment threads.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
Nodari RizunFounder & CEO, Pürblack®“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
Mark SimmonsCMO, Pürblack®“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
Nodari RizunFounder & CEO, Pürblack®“We regained time. And time is the one resource that never comes back.”
Transform your Redshift data into business actions
Connect your Redshift cluster in minutes. Build data marts, automate reporting, and deliver AI Insights — free to start.
- Internal OWOX data as of 2026-10-02
- G2 reviews of OWOX
- npm installs stat
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