Analyze your Sparkpost and Amazon S3 data together

Integrating Sparkpost and Amazon S3 has never been easier. Try Panoply for Free
Store and sync your data from over 80 sources so it's always ready for action

Panoply in 30 seconds

Watch how easy it is to connect to your data. It only takes a few minutes to sync your data into Panoply so that it’s available to all your teammates and all your tools.

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All your data in one place

With over 80 data source connections, you can gather all your business data in one place in minutes. You’ll never have to worry about silos separating your CRM, database, advertising, analytics, or other business data.

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Automated data pipeline

Seamlessly scale from gigabytes to terabytes without worrying about performance or maintenance. Panoply combines a data-warehouse-as-a-service with integrated ETL pipelines in a simple management console that requires no engineering experience.

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Analytics in action

With Panoply, your data has the power to transform your business. Panoply prepares your data into easy-to-analyze tables and connects to all popular BI tools and analytical notebooks. From the executives to the analysts, everyone will have the most up-to-date data and the insights they need to drive your business forward.

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Integrate with Sparkpost in minutes

SparkPost is an automated email delivery service that manages, monitors, and collects data for transactional email marketing campaigns. Panoply’s SparkPost integration loads the data directly from SparkPost into your own cloud data warehouse. The process takes only a few minutes, and your data is instantly available to combine and connect with any of your other data sources, all without maintaining an ELT process.

Panoply’s data analysis and reporting tools make it easier for analysts to discover more from your SparkPost data, including email marketing optimization strategies, engagement opportunities, and more. With the ability to query and generate reports from within the platform, Panoply replaces the need for a complicated and costly data infrastructure.

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Connect nearly any data source with our Flex Connector or a 3rd party ETL tool.

Our team will help you explore your options.

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Integrate with Amazon S3 in minutes

Panoply provides end to end data automation, from extraction to analysis, all with an ETL-free pipeline that is capable of connecting to both structured and semi-structured data sources. One of its most popular integrations is with Amazon Simple Storage Service, known as Amazon S3, a cloud based scalable storage solution.

It takes only a few minutes to setup Panoply’s integration with Amazon S3, allowing businesses of all sizes to import their historical data to the Panoply platform with only a few clicks. With Panoply, your Amazon S3 data will quickly become a part of your data warehouse and can be analyzed along with any additional data sources you may collect. With Panoply, you can start turning your Amazon S3 storage into useable data, all without any additional custom scripts.

Learn more:
Documentation
Amazon S3 Data Warehousing
Amazon S3 Business Intelligence

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Power BI
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Looker
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Luzmo
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Mode Analytics
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Panintelligence
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Metabase
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Looker Studio
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Redash
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Apache Superset
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SeekWell
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Amazon QuickSight
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Domo
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Grafana
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Qlik
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Trevor.io
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Draxlr
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Apache Zeppelin
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Birst
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CARTO
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Databricks
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GoodData
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Holistics
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IBM Cognos
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Jupyter
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Klipfolio
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KNIME
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MicroStrategy
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Pentaho
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Plotly
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PopSQL
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Julia
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Pandas
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Python
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SQL
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R
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Shiny
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ThoughtSpot
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TIBCO Spotfire X
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Yellowfin
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Zoho Analytics
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Amazon DynamoDB
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AppsFlyer
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Asana
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BigCommerce
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BigQuery
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Bing Ads
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CSV
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Delighted
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Elasticsearch
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Facebook Ads
Amazon S3 +
Facebook Pages
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Facebook Posts
Amazon S3 +
Google Ads
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Google Analytics
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Google Cloud Storage
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Google Drive
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Google Search Console
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Google Sheets
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HubSpot
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Instagram for Business
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Intercom
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Jira
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JSON
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Klaviyo
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LinkedIn Ads
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MailChimp
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Microsoft Excel
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Microsoft OneDrive
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Microsoft SQL Server
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MongoDB
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MySQL
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NetSuite
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Pardot
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PostgreSQL
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Quickbooks
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Redshift
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Salesforce
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SFTP
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Shopify
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Square
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Stripe
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Twilio
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Twitter Ads
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Twitter
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Upload Data
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WooCommerce
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Wordpress
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Xero
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Zendesk

Start Analyzing your Data for Free

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